forked from RemoteSync/grafana-meta-monitoring-chart
Compare commits
176 Commits
add_agent_
...
v0.0.2
Author | SHA1 | Date | |
---|---|---|---|
|
f0bdf0760d | ||
|
314b1db19b | ||
|
b547784d54 | ||
|
af4cd1f8c0 | ||
|
116119bdc4 | ||
|
df794115f0 | ||
|
c26e509f65 | ||
|
95f7905e34 | ||
|
ad1b619a33 | ||
|
446c0be743 | ||
|
be7a32de27 | ||
|
e41b2f360f | ||
|
1cafd696c7 | ||
|
c614f41d66 | ||
|
2144cea411 | ||
|
81a017551b | ||
|
1871a4ef87 | ||
|
11d80263a7 | ||
|
cdb0bee56e | ||
|
58171a6a42 | ||
|
c65445384b | ||
|
1f980f393e | ||
|
47d9190eda | ||
|
5ff9bd16c9 | ||
|
d6faaf88f5 | ||
|
2d711f7168 | ||
|
c666bf69c9 | ||
|
41619b99b1 | ||
|
5923139796 | ||
|
329d5822ea | ||
|
5498b27ad6 | ||
|
da687315e7 | ||
|
8f20e45c77 | ||
|
e81b1246f5 | ||
|
b103fb3434 | ||
|
9349d2d906 | ||
|
31536103c8 | ||
|
13c28aa50a | ||
|
385d0dd543 | ||
|
458451922d | ||
|
4b0d457af0 | ||
|
e60b2aecdc | ||
|
6244de677e | ||
|
d14e933e84 | ||
|
0210fba39d | ||
|
a97fa64880 | ||
|
34545e15b4 | ||
|
33b8e37bed | ||
|
0938193982 | ||
|
b1975505e5 | ||
|
c282bf352d | ||
|
60af0b4d19 | ||
|
0980cb2ede | ||
|
75ab1f0d97 | ||
|
dd49623508 | ||
|
095fb09d26 | ||
|
0fc5e2f847 | ||
|
d04d74cc26 | ||
|
b840555522 | ||
|
e1a8495227 | ||
|
a812b4f63a | ||
|
8dde9642c9 | ||
|
0832bc8e8f | ||
|
cbae75acb8 | ||
|
f5a5472b95 | ||
|
58a4696a6b | ||
|
e31f6b0906 | ||
|
351f50e238 | ||
|
170c17b721 | ||
|
b2d06ab8e3 | ||
|
9d63c32d4f | ||
|
a201cef34c | ||
|
ea4d5e278a | ||
|
e3c3f6a094 | ||
|
d6da6fec35 | ||
|
5e2ffb222b | ||
|
9b12bad16c | ||
|
ed31bcf345 | ||
|
a0184e27d0 | ||
|
3491886311 | ||
|
c58b76cfc7 | ||
|
a72e64327f | ||
|
cfdc6b95eb | ||
|
b1ccef91cb | ||
|
f3f970d783 | ||
|
b78571dfdc | ||
|
1859c3a82c | ||
|
f275b2d1b6 | ||
|
fd1aadc099 | ||
|
a6462d1ac1 | ||
|
690cda9eb5 | ||
|
00cad594f4 | ||
|
e74ec96349 | ||
|
0d3f9a1416 | ||
|
8fa5b63db7 | ||
|
d7063da3d4 | ||
|
e7f28a261e | ||
|
509a32bc59 | ||
|
6bb31ad5e0 | ||
|
7724d9c928 | ||
|
13294675fe | ||
|
bf71def2f8 | ||
|
b37fa4adf5 | ||
|
18a5face81 | ||
|
5e908f796c | ||
|
17b52d572a | ||
|
6eac38d4ec | ||
|
3706c702a1 | ||
|
28b77dab17 | ||
|
9770a3e5b3 | ||
|
6cbffd6d9d | ||
|
4ae23a99d2 | ||
|
20232e9cf3 | ||
|
043a503ce7 | ||
|
39f50d8580 | ||
|
d9fc9e4f4e | ||
|
f61913d3da | ||
|
c29daab64d | ||
|
d389a9f741 | ||
|
6f5f50f901 | ||
|
efea1c5054 | ||
|
b02aee6816 | ||
|
c522e3f39e | ||
|
e3542e472d | ||
|
3a138991ff | ||
|
cd78caab48 | ||
|
f281741de9 | ||
|
381ecb2c06 | ||
|
20cdb8dcc1 | ||
|
019f2b7b1e | ||
|
1bffcac5e5 | ||
|
d23291dc91 | ||
|
a89ba944a3 | ||
|
ef05e599e6 | ||
|
a586e753da | ||
|
76908c1e9e | ||
|
bc5cdadb9f | ||
|
687c77c0f6 | ||
|
2a0b14ee45 | ||
|
7e06d611a7 | ||
|
f4934d6007 | ||
|
427764278c | ||
|
1093e91741 | ||
|
1ed196299b | ||
|
faa0015c11 | ||
|
53416e042c | ||
|
d804da13f1 | ||
|
8c0b68fe02 | ||
|
99bb8f13c2 | ||
|
26ff679cbb | ||
|
fb3e3ece1b | ||
|
7a5358b322 | ||
|
9c92e18efe | ||
|
ffe220590d | ||
|
e3708ce3fe | ||
|
3149f4df9b | ||
|
86ec586917 | ||
|
6cd12bee01 | ||
|
b042b396a2 | ||
|
bcacb70e2d | ||
|
d9c3b60659 | ||
|
6d091d564e | ||
|
8671993962 | ||
|
f80c9d7c43 | ||
|
60853bc8b0 | ||
|
debdd67283 | ||
|
8bc465b2e6 | ||
|
18d24c39f7 | ||
|
23d14110a0 | ||
|
092423c2b3 | ||
|
dcbe85a37a | ||
|
db8558982c | ||
|
49034b9f6b | ||
|
15f96d9cc6 | ||
|
b9f22ba27e | ||
|
2f79e7ef14 |
3
.github/configs/cr.yaml
vendored
Normal file
3
.github/configs/cr.yaml
vendored
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
owner: grafana
|
||||||
|
git-repo: helm-charts
|
||||||
|
skip-existing: true
|
15
.github/configs/ct.yaml
vendored
Normal file
15
.github/configs/ct.yaml
vendored
Normal file
@@ -0,0 +1,15 @@
|
|||||||
|
## Reference: https://github.com/helm/chart-testing/blob/master/doc/ct_lint-and-install.md
|
||||||
|
remote: origin
|
||||||
|
target-branch: main
|
||||||
|
chart-dirs:
|
||||||
|
- charts
|
||||||
|
chart-repos:
|
||||||
|
- grafana=https://grafana.github.io/helm-charts
|
||||||
|
- minio=https://charts.min.io
|
||||||
|
validate-chart-schema: true
|
||||||
|
validate-maintainers: true
|
||||||
|
validate-yaml: true
|
||||||
|
exclude-deprecated: true
|
||||||
|
excluded-charts: []
|
||||||
|
namespace: meta-monitoring # Need to set the namespace because we create the secret there
|
||||||
|
release-label: app.kubernetes.io/instance
|
30
.github/configs/updatecli.d/alloy.yaml
vendored
Normal file
30
.github/configs/updatecli.d/alloy.yaml
vendored
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
name: Bump dependency "alloy" for Helm chart "meta-monitoring"
|
||||||
|
sources:
|
||||||
|
alloy:
|
||||||
|
name: Get latest "alloy" Helm chart version
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
name: alloy
|
||||||
|
url: https://grafana.github.io/helm-charts
|
||||||
|
versionfilter:
|
||||||
|
kind: semver
|
||||||
|
pattern: '*'
|
||||||
|
conditions:
|
||||||
|
alloy:
|
||||||
|
name: Ensure Helm chart dependency "alloy" is specified
|
||||||
|
kind: yaml
|
||||||
|
spec:
|
||||||
|
file: charts/meta-monitoring/Chart.yaml
|
||||||
|
key: $.dependencies[1].name
|
||||||
|
value: alloy
|
||||||
|
disablesourceinput: true
|
||||||
|
targets:
|
||||||
|
alloy:
|
||||||
|
name: Bump Helm chart dependency "alloy" for Helm chart "meta-monitoring"
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
file: Chart.yaml
|
||||||
|
key: $.dependencies[1].version
|
||||||
|
name: charts/meta-monitoring
|
||||||
|
versionincrement: none
|
||||||
|
sourceid: alloy
|
30
.github/configs/updatecli.d/loki.yaml
vendored
Normal file
30
.github/configs/updatecli.d/loki.yaml
vendored
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
name: Bump dependency "loki" for Helm chart "meta-monitoring"
|
||||||
|
sources:
|
||||||
|
loki:
|
||||||
|
name: Get latest "loki" Helm chart version
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
name: loki
|
||||||
|
url: https://grafana.github.io/helm-charts
|
||||||
|
versionfilter:
|
||||||
|
kind: semver
|
||||||
|
pattern: '*'
|
||||||
|
conditions:
|
||||||
|
loki:
|
||||||
|
name: Ensure Helm chart dependency "loki" is specified
|
||||||
|
kind: yaml
|
||||||
|
spec:
|
||||||
|
file: charts/meta-monitoring/Chart.yaml
|
||||||
|
key: $.dependencies[0].name
|
||||||
|
value: loki
|
||||||
|
disablesourceinput: true
|
||||||
|
targets:
|
||||||
|
loki:
|
||||||
|
name: Bump Helm chart dependency "loki" for Helm chart "meta-monitoring"
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
file: Chart.yaml
|
||||||
|
key: $.dependencies[0].version
|
||||||
|
name: charts/meta-monitoring
|
||||||
|
versionincrement: none
|
||||||
|
sourceid: loki
|
30
.github/configs/updatecli.d/mimir-distributed.yaml
vendored
Normal file
30
.github/configs/updatecli.d/mimir-distributed.yaml
vendored
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
name: Bump dependency "mimir-distributed" for Helm chart "meta-monitoring"
|
||||||
|
sources:
|
||||||
|
mimir-distributed:
|
||||||
|
name: Get latest "mimir-distributed" Helm chart version
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
name: mimir-distributed
|
||||||
|
url: https://grafana.github.io/helm-charts
|
||||||
|
versionfilter:
|
||||||
|
kind: semver
|
||||||
|
pattern: '*'
|
||||||
|
conditions:
|
||||||
|
mimir-distributed:
|
||||||
|
name: Ensure Helm chart dependency "mimir-distributed" is specified
|
||||||
|
kind: yaml
|
||||||
|
spec:
|
||||||
|
file: charts/meta-monitoring/Chart.yaml
|
||||||
|
key: $.dependencies[2].name
|
||||||
|
value: mimir-distributed
|
||||||
|
disablesourceinput: true
|
||||||
|
targets:
|
||||||
|
mimir-distributed:
|
||||||
|
name: Bump Helm chart dependency "mimir-distributed" for Helm chart "meta-monitoring"
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
file: Chart.yaml
|
||||||
|
key: $.dependencies[2].version
|
||||||
|
name: charts/meta-monitoring
|
||||||
|
versionincrement: none
|
||||||
|
sourceid: mimir-distributed
|
30
.github/configs/updatecli.d/minio.yaml
vendored
Normal file
30
.github/configs/updatecli.d/minio.yaml
vendored
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
name: Bump dependency "minio" for Helm chart "meta-monitoring"
|
||||||
|
sources:
|
||||||
|
minio:
|
||||||
|
name: Get latest "minio" Helm chart version
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
name: minio
|
||||||
|
url: https://charts.min.io
|
||||||
|
versionfilter:
|
||||||
|
kind: semver
|
||||||
|
pattern: '*'
|
||||||
|
conditions:
|
||||||
|
minio:
|
||||||
|
name: Ensure Helm chart dependency "minio" is specified
|
||||||
|
kind: yaml
|
||||||
|
spec:
|
||||||
|
file: charts/meta-monitoring/Chart.yaml
|
||||||
|
key: $.dependencies[4].name
|
||||||
|
value: minio
|
||||||
|
disablesourceinput: true
|
||||||
|
targets:
|
||||||
|
minio:
|
||||||
|
name: Bump Helm chart dependency "minio" for Helm chart "meta-monitoring"
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
file: Chart.yaml
|
||||||
|
key: $.dependencies[4].version
|
||||||
|
name: charts/meta-monitoring
|
||||||
|
versionincrement: none
|
||||||
|
sourceid: minio
|
30
.github/configs/updatecli.d/tempo-distributed.yaml
vendored
Normal file
30
.github/configs/updatecli.d/tempo-distributed.yaml
vendored
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
name: Bump dependency "tempo-distributed" for Helm chart "meta-monitoring"
|
||||||
|
sources:
|
||||||
|
tempo-distributed:
|
||||||
|
name: Get latest "tempo-distributed" Helm chart version
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
name: tempo-distributed
|
||||||
|
url: https://grafana.github.io/helm-charts
|
||||||
|
versionfilter:
|
||||||
|
kind: semver
|
||||||
|
pattern: '*'
|
||||||
|
conditions:
|
||||||
|
tempo-distributed:
|
||||||
|
name: Ensure Helm chart dependency "tempo-distributed" is specified
|
||||||
|
kind: yaml
|
||||||
|
spec:
|
||||||
|
file: charts/meta-monitoring/Chart.yaml
|
||||||
|
key: $.dependencies[3].name
|
||||||
|
value: tempo-distributed
|
||||||
|
disablesourceinput: true
|
||||||
|
targets:
|
||||||
|
tempo-distributed:
|
||||||
|
name: Bump Helm chart dependency "tempo-distributed" for Helm chart "meta-monitoring"
|
||||||
|
kind: helmchart
|
||||||
|
spec:
|
||||||
|
file: Chart.yaml
|
||||||
|
key: $.dependencies[3].version
|
||||||
|
name: charts/meta-monitoring
|
||||||
|
versionincrement: none
|
||||||
|
sourceid: tempo-distributed
|
177
.github/workflows/check-for-dependency-updates.yaml
vendored
Normal file
177
.github/workflows/check-for-dependency-updates.yaml
vendored
Normal file
@@ -0,0 +1,177 @@
|
|||||||
|
---
|
||||||
|
name: Check for dependency updates
|
||||||
|
|
||||||
|
on:
|
||||||
|
workflow_dispatch:
|
||||||
|
schedule:
|
||||||
|
# Run once a day
|
||||||
|
- cron: '0 7 * * *'
|
||||||
|
|
||||||
|
permissions:
|
||||||
|
contents: "write"
|
||||||
|
pull-requests: "write"
|
||||||
|
|
||||||
|
env:
|
||||||
|
UPDATECLI_CONFIG_DIR: "${{ github.workspace }}/.github/configs/updatecli.d"
|
||||||
|
UPDATECLI_GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
|
||||||
|
|
||||||
|
jobs:
|
||||||
|
updateLoki:
|
||||||
|
name: Update the Loki subchart
|
||||||
|
runs-on: "ubuntu-latest"
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v2
|
||||||
|
|
||||||
|
- name: Install Updatecli
|
||||||
|
uses: updatecli/updatecli-action@v2
|
||||||
|
|
||||||
|
- name: Run Updatecli
|
||||||
|
id: update-loki
|
||||||
|
run: |
|
||||||
|
updatecli apply --config ${UPDATECLI_CONFIG_DIR}/loki.yaml
|
||||||
|
if ! git diff --exit-code > /dev/null; then
|
||||||
|
echo "changed=true" >> "${GITHUB_OUTPUT}"
|
||||||
|
fi
|
||||||
|
|
||||||
|
- name: Create pull request
|
||||||
|
if: steps.update-loki.outputs.changed == 'true'
|
||||||
|
uses: peter-evans/create-pull-request@v5
|
||||||
|
with:
|
||||||
|
title: "[dependency] Update the Loki subchart"
|
||||||
|
body: "Updates the Loki subchart"
|
||||||
|
base: main
|
||||||
|
author: "${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>"
|
||||||
|
committer: "GitHub <noreply@github.com>"
|
||||||
|
commit-message: Update loki
|
||||||
|
labels: dependencies
|
||||||
|
branch: chore/update-loki
|
||||||
|
delete-branch: true
|
||||||
|
|
||||||
|
updateGrafanaAlloy:
|
||||||
|
name: Update the Grafana Alloy subchart
|
||||||
|
runs-on: "ubuntu-latest"
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v2
|
||||||
|
|
||||||
|
- name: Install Updatecli
|
||||||
|
uses: updatecli/updatecli-action@v2
|
||||||
|
|
||||||
|
- name: Run Updatecli
|
||||||
|
id: update-grafana-alloy
|
||||||
|
run: |
|
||||||
|
updatecli apply --config ${UPDATECLI_CONFIG_DIR}/alloy.yaml
|
||||||
|
if ! git diff --exit-code > /dev/null; then
|
||||||
|
echo "changed=true" >> "${GITHUB_OUTPUT}"
|
||||||
|
fi
|
||||||
|
|
||||||
|
- name: Create pull request
|
||||||
|
if: steps.update-grafana-alloy.outputs.changed == 'true'
|
||||||
|
uses: peter-evans/create-pull-request@v5
|
||||||
|
with:
|
||||||
|
title: "[dependency] Update the Grafana Alloy subchart"
|
||||||
|
body: "Updates the Grafana Alloy subchart"
|
||||||
|
base: main
|
||||||
|
author: "${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>"
|
||||||
|
committer: "GitHub <noreply@github.com>"
|
||||||
|
commit-message: Update Grafana Alloy
|
||||||
|
labels: dependencies
|
||||||
|
branch: chore/update-grafana-alloy
|
||||||
|
delete-branch: true
|
||||||
|
|
||||||
|
updateMimirDistributed:
|
||||||
|
name: Update the Mimir Distributed subchart
|
||||||
|
runs-on: "ubuntu-latest"
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v2
|
||||||
|
|
||||||
|
- name: Install Updatecli
|
||||||
|
uses: updatecli/updatecli-action@v2
|
||||||
|
|
||||||
|
- name: Run Updatecli
|
||||||
|
id: update-mimir-distributed
|
||||||
|
run: |
|
||||||
|
updatecli apply --config ${UPDATECLI_CONFIG_DIR}/mimir-distributed.yaml
|
||||||
|
if ! git diff --exit-code > /dev/null; then
|
||||||
|
echo "changed=true" >> "${GITHUB_OUTPUT}"
|
||||||
|
fi
|
||||||
|
|
||||||
|
- name: Create pull request
|
||||||
|
if: steps.update-mimir-distributed.outputs.changed == 'true'
|
||||||
|
uses: peter-evans/create-pull-request@v5
|
||||||
|
with:
|
||||||
|
title: "[dependency] Update the Mimir Distributed subchart"
|
||||||
|
body: "Updates the Mimir Distributed subchart"
|
||||||
|
base: main
|
||||||
|
author: "${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>"
|
||||||
|
committer: "GitHub <noreply@github.com>"
|
||||||
|
commit-message: Update Mimir Distributed
|
||||||
|
labels: dependencies
|
||||||
|
branch: chore/update-mimir-distributed
|
||||||
|
delete-branch: true
|
||||||
|
|
||||||
|
updateTempoDistributed:
|
||||||
|
name: Update the Tempo Distributed subchart
|
||||||
|
runs-on: "ubuntu-latest"
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v2
|
||||||
|
|
||||||
|
- name: Install Updatecli
|
||||||
|
uses: updatecli/updatecli-action@v2
|
||||||
|
|
||||||
|
- name: Run Updatecli
|
||||||
|
id: update-tempo-distributed
|
||||||
|
run: |
|
||||||
|
updatecli apply --config ${UPDATECLI_CONFIG_DIR}/tempo-distributed.yaml
|
||||||
|
if ! git diff --exit-code > /dev/null; then
|
||||||
|
echo "changed=true" >> "${GITHUB_OUTPUT}"
|
||||||
|
fi
|
||||||
|
|
||||||
|
- name: Create pull request
|
||||||
|
if: steps.update-tempo-distributed.outputs.changed == 'true'
|
||||||
|
uses: peter-evans/create-pull-request@v5
|
||||||
|
with:
|
||||||
|
title: "[dependency] Update the Tempo Distributed subchart"
|
||||||
|
body: "Updates the tempo Distributed subchart"
|
||||||
|
base: main
|
||||||
|
author: "${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>"
|
||||||
|
committer: "GitHub <noreply@github.com>"
|
||||||
|
commit-message: Update Tempo Distributed
|
||||||
|
labels: dependencies
|
||||||
|
branch: chore/update-tempo-distributed
|
||||||
|
delete-branch: true
|
||||||
|
|
||||||
|
updateMinio:
|
||||||
|
name: Update the Minio subchart
|
||||||
|
runs-on: "ubuntu-latest"
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v2
|
||||||
|
|
||||||
|
- name: Install Updatecli
|
||||||
|
uses: updatecli/updatecli-action@v2
|
||||||
|
|
||||||
|
- name: Run Updatecli
|
||||||
|
id: update-minio
|
||||||
|
run: |
|
||||||
|
updatecli apply --config ${UPDATECLI_CONFIG_DIR}/minio.yaml
|
||||||
|
if ! git diff --exit-code > /dev/null; then
|
||||||
|
echo "changed=true" >> "${GITHUB_OUTPUT}"
|
||||||
|
fi
|
||||||
|
|
||||||
|
- name: Create pull request
|
||||||
|
if: steps.update-minio.outputs.changed == 'true'
|
||||||
|
uses: peter-evans/create-pull-request@v5
|
||||||
|
with:
|
||||||
|
title: "[dependency] Update the Minio subchart"
|
||||||
|
body: "Updates the Minio subchart"
|
||||||
|
base: main
|
||||||
|
author: "${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>"
|
||||||
|
committer: "GitHub <noreply@github.com>"
|
||||||
|
commit-message: Update minio
|
||||||
|
labels: dependencies
|
||||||
|
branch: chore/update-minio
|
||||||
|
delete-branch: true
|
66
.github/workflows/helm-ci.yml
vendored
Normal file
66
.github/workflows/helm-ci.yml
vendored
Normal file
@@ -0,0 +1,66 @@
|
|||||||
|
---
|
||||||
|
name: helm-ci
|
||||||
|
on:
|
||||||
|
pull_request:
|
||||||
|
paths:
|
||||||
|
- "charts/meta-monitoring/**"
|
||||||
|
|
||||||
|
env:
|
||||||
|
CT_CONFIGFILE: charts/meta-monitoring/ct.yaml
|
||||||
|
|
||||||
|
jobs:
|
||||||
|
call-lint:
|
||||||
|
name: Lint Helm Chart
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
steps:
|
||||||
|
- name: Checkout Code
|
||||||
|
uses: actions/checkout@v3
|
||||||
|
|
||||||
|
- name: Lint Yaml
|
||||||
|
run: make helm-lint
|
||||||
|
|
||||||
|
# call-test:
|
||||||
|
# name: Test Helm Chart
|
||||||
|
# runs-on: ubuntu-latest
|
||||||
|
# steps:
|
||||||
|
# - name: Checkout
|
||||||
|
# uses: actions/checkout@v3
|
||||||
|
# with:
|
||||||
|
# fetch-depth: 0
|
||||||
|
|
||||||
|
# - name: Set up Helm
|
||||||
|
# uses: azure/setup-helm@v3
|
||||||
|
# with:
|
||||||
|
# version: v3.8.2
|
||||||
|
|
||||||
|
# # Python is required because `ct lint` runs Yamale (https://github.com/23andMe/Yamale) and
|
||||||
|
# # yamllint (https://github.com/adrienverge/yamllint) which require Python
|
||||||
|
# - name: Set up Python
|
||||||
|
# uses: actions/setup-python@v4
|
||||||
|
# with:
|
||||||
|
# python-version: 3.7
|
||||||
|
|
||||||
|
# - name: Set up chart-testing
|
||||||
|
# uses: helm/chart-testing-action@v2.4.0
|
||||||
|
|
||||||
|
# - name: Run chart-testing (list-changed)
|
||||||
|
# id: list-changed
|
||||||
|
# run: |
|
||||||
|
# changed=$(ct list-changed --config "${CT_CONFIGFILE}")
|
||||||
|
# if [[ -n "$changed" ]]; then
|
||||||
|
# echo "changed=true" >> $GITHUB_OUTPUT
|
||||||
|
# fi
|
||||||
|
|
||||||
|
# - name: Run chart-testing (lint)
|
||||||
|
# run: ct lint --config "${CT_CONFIGFILE}" --check-version-increment=false
|
||||||
|
|
||||||
|
# - name: Create kind cluster
|
||||||
|
# uses: helm/kind-action@v1.8.0
|
||||||
|
# if: steps.list-changed.outputs.changed == 'true'
|
||||||
|
# with:
|
||||||
|
# config: tools/kind.config
|
||||||
|
|
||||||
|
# - name: Run chart-testing (install)
|
||||||
|
# run: |
|
||||||
|
# changed=$(ct list-changed --config "${CT_CONFIGFILE}")
|
||||||
|
# ct install --config "${CT_CONFIGFILE}"
|
175
.github/workflows/helm-release.yml
vendored
Normal file
175
.github/workflows/helm-release.yml
vendored
Normal file
@@ -0,0 +1,175 @@
|
|||||||
|
name: Release Helm chart
|
||||||
|
on:
|
||||||
|
workflow_dispatch:
|
||||||
|
env:
|
||||||
|
CR_CONFIGFILE: "${{ github.workspace }}/source/.github/configs/cr.yaml"
|
||||||
|
CT_CONFIGFILE: "${{ github.workspace }}/source/.github/configs/ct.yaml"
|
||||||
|
CR_INDEX_PATH: "${{ github.workspace }}/.cr-index"
|
||||||
|
CR_PACKAGE_PATH: "${{ github.workspace }}/.cr-release-packages"
|
||||||
|
CR_TOOL_PATH: "${{ github.workspace }}/.cr-tool"
|
||||||
|
CR_VERSION: "1.5.0"
|
||||||
|
jobs:
|
||||||
|
setup:
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
outputs:
|
||||||
|
changed: ${{ steps.list-changed.outputs.changed }}
|
||||||
|
chartpath: ${{ steps.list-changed.outputs.chartpath }}
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v4
|
||||||
|
with:
|
||||||
|
fetch-depth: 0
|
||||||
|
path: source
|
||||||
|
|
||||||
|
- name: Install chart-testing
|
||||||
|
uses: helm/chart-testing-action@v2
|
||||||
|
|
||||||
|
- name: List changed charts
|
||||||
|
id: list-changed
|
||||||
|
run: |
|
||||||
|
cd source
|
||||||
|
|
||||||
|
latest_tag=$( if ! git describe --tags --abbrev=0 --match='helm-chart/*' 2> /dev/null ; then git rev-list --max-parents=0 --first-parent HEAD; fi )
|
||||||
|
|
||||||
|
echo "Running: ct list-changed --config ${CT_CONFIGFILE} --since ${latest_tag} --target-branch ${{ github.ref_name }}"
|
||||||
|
changed=$(ct list-changed --config "${CT_CONFIGFILE}" --since "${latest_tag}" --target-branch "${{ github.ref_name }}")
|
||||||
|
echo "${changed}"
|
||||||
|
|
||||||
|
num_changed=$(wc -l <<< ${changed})
|
||||||
|
if [[ "${num_changed}" -gt "1" ]] ; then
|
||||||
|
echo "More than one chart changed, exiting"
|
||||||
|
exit 1
|
||||||
|
fi
|
||||||
|
if [[ -n "${changed}" ]]; then
|
||||||
|
name=$(yq ".name" < ${changed}/Chart.yaml)
|
||||||
|
version=$(yq ".version" < ${changed}/Chart.yaml)
|
||||||
|
tagname="v${version}"
|
||||||
|
|
||||||
|
if [ $(git tag -l "${tagname}") ]; then
|
||||||
|
echo "Tag ${tagname} already exists, skipping release"
|
||||||
|
echo "changed=false" >> $GITHUB_OUTPUT
|
||||||
|
else
|
||||||
|
echo "Releasing ${changed}"
|
||||||
|
echo "changed=true" >> $GITHUB_OUTPUT
|
||||||
|
echo "chartpath=${changed}" >> $GITHUB_OUTPUT
|
||||||
|
fi
|
||||||
|
else
|
||||||
|
echo "No charts have changed, skipping release"
|
||||||
|
echo "changed=false" >> $GITHUB_OUTPUT
|
||||||
|
fi
|
||||||
|
|
||||||
|
release:
|
||||||
|
needs: [setup]
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
if: needs.setup.outputs.changed == 'true'
|
||||||
|
permissions:
|
||||||
|
contents: write
|
||||||
|
id-token: write
|
||||||
|
steps:
|
||||||
|
- id: get-secrets
|
||||||
|
uses: grafana/shared-workflows/actions/get-vault-secrets@main
|
||||||
|
with:
|
||||||
|
# Secrets placed in the ci/repo/grafana/<repo>/<path> path in Vault
|
||||||
|
repo_secrets: |
|
||||||
|
APP_ID=github-app:app-id
|
||||||
|
PRIVATE_KEY=github-app:private-key
|
||||||
|
- uses: actions/create-github-app-token@v1
|
||||||
|
id: app-token
|
||||||
|
with:
|
||||||
|
app-id: ${{ env.APP_ID }}
|
||||||
|
private-key: ${{ env.PRIVATE_KEY }}
|
||||||
|
owner: ${{ github.repository_owner }}
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v4
|
||||||
|
with:
|
||||||
|
fetch-depth: 0
|
||||||
|
path: source
|
||||||
|
|
||||||
|
- name: Configure Git
|
||||||
|
run: |
|
||||||
|
cd source
|
||||||
|
git config user.name "$GITHUB_ACTOR"
|
||||||
|
git config user.email "$GITHUB_ACTOR@users.noreply.github.com"
|
||||||
|
|
||||||
|
- name: Checkout helm-charts
|
||||||
|
uses: actions/checkout@v4
|
||||||
|
with:
|
||||||
|
fetch-depth: 0
|
||||||
|
repository: grafana/helm-charts
|
||||||
|
path: helm-charts
|
||||||
|
token: "${{ steps.app-token.outputs.token }}"
|
||||||
|
|
||||||
|
- name: Configure Git for helm-charts
|
||||||
|
run: |
|
||||||
|
cd helm-charts
|
||||||
|
git config user.name "$GITHUB_ACTOR"
|
||||||
|
git config user.email "$GITHUB_ACTOR@users.noreply.github.com"
|
||||||
|
|
||||||
|
- name: Set up Helm
|
||||||
|
uses: azure/setup-helm@v4
|
||||||
|
|
||||||
|
- name: Parse Chart.yaml
|
||||||
|
id: parse-chart
|
||||||
|
run: |
|
||||||
|
cd source
|
||||||
|
changed="${{ needs.setup.outputs.chartpath }}"
|
||||||
|
description=$(yq ".description" < ${changed}/Chart.yaml)
|
||||||
|
name=$(yq ".name" < ${changed}/Chart.yaml)
|
||||||
|
version=$(yq ".version" < ${changed}/Chart.yaml)
|
||||||
|
|
||||||
|
echo "chartpath=${changed}" >> $GITHUB_OUTPUT
|
||||||
|
echo "desc=${description}" >> $GITHUB_OUTPUT
|
||||||
|
echo "tagname=v${version}" >> $GITHUB_OUTPUT
|
||||||
|
echo "packagename=${name}-${version}" >> $GITHUB_OUTPUT
|
||||||
|
|
||||||
|
- name: Install CR tool
|
||||||
|
run: |
|
||||||
|
mkdir "${CR_TOOL_PATH}"
|
||||||
|
mkdir "${CR_PACKAGE_PATH}"
|
||||||
|
mkdir "${CR_INDEX_PATH}"
|
||||||
|
curl -sSLo cr.tar.gz "https://github.com/helm/chart-releaser/releases/download/v${CR_VERSION}/chart-releaser_${CR_VERSION}_linux_amd64.tar.gz"
|
||||||
|
tar -xzf cr.tar.gz -C "${CR_TOOL_PATH}"
|
||||||
|
rm -f cr.tar.gz
|
||||||
|
|
||||||
|
- name: Create Helm package
|
||||||
|
run: |
|
||||||
|
cd source
|
||||||
|
helm repo add grafana https://grafana.github.io/helm-charts
|
||||||
|
helm repo add minio https://charts.min.io
|
||||||
|
|
||||||
|
"${CR_TOOL_PATH}/cr" package "${{ steps.parse-chart.outputs.chartpath }}" --config "${CR_CONFIGFILE}" --package-path "${CR_PACKAGE_PATH}"
|
||||||
|
|
||||||
|
- name: Make a release on this repo
|
||||||
|
uses: softprops/action-gh-release@v2
|
||||||
|
with:
|
||||||
|
name: ${{ steps.parse-chart.outputs.tagname }}
|
||||||
|
repository: grafana/meta-monitoring-chart
|
||||||
|
tag_name: ${{ steps.parse-chart.outputs.tagname }}
|
||||||
|
token: ${{ steps.app-token.outputs.token }}
|
||||||
|
generate_release_notes: true
|
||||||
|
files: |
|
||||||
|
${{ env.CR_PACKAGE_PATH }}/${{ steps.parse-chart.outputs.packagename }}.tgz
|
||||||
|
|
||||||
|
# Note that this creates a release in grafana/helm-charts with a new tag.
|
||||||
|
# The tag name in grafana/helm-charts is <package>-<version>, while the
|
||||||
|
# tag name for grafana/meta-monitoring-chart is <version>.
|
||||||
|
- name: Make release on Helm Charts
|
||||||
|
uses: softprops/action-gh-release@v2
|
||||||
|
with:
|
||||||
|
name: ${{ steps.parse-chart.outputs.packagename }}
|
||||||
|
repository: grafana/helm-charts
|
||||||
|
tag_name: ${{ steps.parse-chart.outputs.packagename }}
|
||||||
|
token: ${{ steps.app-token.outputs.token }}
|
||||||
|
body: |
|
||||||
|
${{ steps.parse-chart.outputs.desc }}
|
||||||
|
|
||||||
|
Source commit: https://github.com/${{ github.repository }}/commit/${{ github.sha }}
|
||||||
|
|
||||||
|
Tag on source: https://github.com/${{ github.repository }}/releases/tag/${{ steps.parse-chart.outputs.tagname }}
|
||||||
|
files: |
|
||||||
|
${{ env.CR_PACKAGE_PATH }}/${{ steps.parse-chart.outputs.packagename }}.tgz
|
||||||
|
|
||||||
|
- name: Update helm-charts index.yaml
|
||||||
|
run: |
|
||||||
|
cd helm-charts
|
||||||
|
"${CR_TOOL_PATH}/cr" index --config "${CR_CONFIGFILE}" --token "${{ steps.app-token.outputs.token }}" --index-path "${CR_INDEX_PATH}" --package-path "${CR_PACKAGE_PATH}" --push
|
1
.gitignore
vendored
Normal file
1
.gitignore
vendored
Normal file
@@ -0,0 +1 @@
|
|||||||
|
.DS_Store
|
10
Makefile
Normal file
10
Makefile
Normal file
@@ -0,0 +1,10 @@
|
|||||||
|
# Adapted from https://www.thapaliya.com/en/writings/well-documented-makefiles/
|
||||||
|
.PHONY: help
|
||||||
|
help: ## Display this help and any documented user-facing targets. Other undocumented targets may be present in the Makefile.
|
||||||
|
help:
|
||||||
|
@awk 'BEGIN {FS = ":.*##"; printf "\nUsage:\n make <target>\n\nTargets:\n"} /^[a-zA-Z_-]+:.*?##/ { printf " %-45s %s\n", $$1, $$2 }' $(MAKEFILE_LIST)
|
||||||
|
|
||||||
|
.PHONY: helm-lint
|
||||||
|
|
||||||
|
helm-lint: ## Run helm linter
|
||||||
|
$(MAKE) -BC charts/meta-monitoring lint
|
49
README.md
49
README.md
@@ -1,43 +1,52 @@
|
|||||||
# meta-monitoring-chart
|
# meta-monitoring-chart
|
||||||
|
|
||||||
This is a meta-monitoring chart for GEL, GEM and GET. It should be installed in a
|
This is a meta-monitoring chart for Loki.
|
||||||
separate namespace next to GEM, GEL or GET installations.
|
|
||||||
|
|
||||||
## Preparation
|
Note that this is pre-production software at the moment.
|
||||||
|
|
||||||
Create a values.yaml file based on the [default one](../charts/meta-monitoring/values.yaml).
|
|
||||||
|
|
||||||
1. Add or remove the namespaces to monitor in the `namespacesToMonitor` setting
|
|
||||||
|
|
||||||
1. Set the cluster name in the `clusterName` setting. This will be added as a label to all logs, metrics and traces.
|
|
||||||
|
|
||||||
1. Create a `meta` namespace.
|
|
||||||
|
|
||||||
## Local and cloud modes
|
## Local and cloud modes
|
||||||
|
|
||||||
The chart has 2 modes: local and cloud. In the local mode logs, metrics and traces are sent
|
The chart has 2 modes: local and cloud. In the local mode logs, metrics and/or traces are sent
|
||||||
to small Loki, Mimir and Tempo installations running in the meta-monitoring namespace.
|
to small Loki, Mimir and Tempo installations running in the meta-monitoring namespace.
|
||||||
|
|
||||||

|

|
||||||
|
|
||||||
To enable local mode set `local.enabled` to true.
|
To enable local mode set `local.<logs|metrics|traces>.enabled` to true.
|
||||||
|
|
||||||
In the cloud mode the logs, metrics and traces are sent to
|
In the cloud mode the logs, metrics and/or traces are sent to Grafana Cloud.
|
||||||
|
|
||||||

|

|
||||||
|
|
||||||
To enable cloud mode set `cloud.enabled` to true. The `endpoint`, `username` and `password` settings for your Grafana Cloud logs, metrics and traces instances have to be filled in as well.
|
To enable cloud mode set `cloud.<logs|metrics|traces>.enabled` to true. The `endpoint`, `username` and `password` settings for your Grafana Cloud logs, metrics and traces instances have to be filled in as well.
|
||||||
|
|
||||||
Both modes can be enabled at the same time.
|
Both modes can be enabled at the same time.
|
||||||
|
|
||||||
## Installation
|
## Installation
|
||||||
|
|
||||||
```
|
|
||||||
helm install -n meta -f values.yaml meta ./charts/meta-monitoring
|
|
||||||
```
|
|
||||||
|
|
||||||
For more instructions including how to update the chart go to the [installation](docs/installation.md) page.
|
For more instructions including how to update the chart go to the [installation](docs/installation.md) page.
|
||||||
|
|
||||||
|
## Supported features
|
||||||
|
|
||||||
|
- Specify which namespaces are monitored
|
||||||
|
- Specify if logs, metrics or traces should be enabled for cloud or local
|
||||||
|
- Specify the cluster name used for the logs, metrics and traces
|
||||||
|
- Specify PII regexes that are applied to logs before they are sent to Loki (cloud or local). The capture group in the regex is replaced with *****.
|
||||||
|
- a Grafana instance is installed (when local mode is used) with the relevant datasources installed. The following dashboards are installed:
|
||||||
|
- logs dashboards
|
||||||
|
- metrics dashboards
|
||||||
|
- traces dashboards
|
||||||
|
- agent dashboards
|
||||||
|
- Retention is set to 24 hours
|
||||||
|
|
||||||
|
Most of these features are enabled by default. See the values.yaml file for how to enable/disable them.
|
||||||
|
|
||||||
|
## Caveats
|
||||||
|
|
||||||
|
- This has not been tested on Openshift yet.
|
||||||
|
- The underlying Loki, Mimir and Tempo are at the default size installed by the Helm chart. This might need changing when monitoring bigger Loki, Mimir or Tempo installations.
|
||||||
|
- MinIO is used as storage at the moment with a limited retention. At the moment this chart cannot be used for monitoring over longer periods.
|
||||||
|
- Agent self monitoring is not done at the moment.
|
||||||
|
|
||||||
## Developer help topics
|
## Developer help topics
|
||||||
|
|
||||||
- [update dependencies](docs/dev_update_dependencies.md)
|
- [update dependencies](docs/dev_update_dependencies.md)
|
@@ -1,18 +1,18 @@
|
|||||||
dependencies:
|
dependencies:
|
||||||
- name: loki
|
- name: loki
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: 5.8.0
|
version: 6.3.4
|
||||||
- name: grafana-agent
|
- name: alloy
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: 0.15.0
|
version: 0.1.1
|
||||||
- name: mimir-distributed
|
- name: mimir-distributed
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: 4.4.1
|
version: 5.3.0
|
||||||
- name: tempo-distributed
|
- name: tempo-distributed
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: 1.4.7
|
version: 1.9.4
|
||||||
- name: minio
|
- name: minio
|
||||||
repository: https://charts.min.io
|
repository: https://charts.min.io
|
||||||
version: 5.0.11
|
version: 5.2.0
|
||||||
digest: sha256:4b04084e6fe821c4d481017b2430f7c8cd782a5d60830dd3a24eb8f10a9ece09
|
digest: sha256:33c7285f1b517a9de4c15a9cb5e32478e8fd07cba3601fa93f03f4925d792f04
|
||||||
generated: "2023-06-29T14:25:07.247853+01:00"
|
generated: "2024-04-29T07:02:49.713859154Z"
|
||||||
|
@@ -1,7 +1,6 @@
|
|||||||
apiVersion: v2
|
apiVersion: v2
|
||||||
name: meta-monitoring
|
name: meta-monitoring
|
||||||
description: A Helm chart for meta monitoring Grafana Loki, Mimir and Tempo
|
description: A Helm chart for meta monitoring Grafana Loki, Mimir and Tempo
|
||||||
|
|
||||||
# A chart can be either an 'application' or a 'library' chart.
|
# A chart can be either an 'application' or a 'library' chart.
|
||||||
#
|
#
|
||||||
# Application charts are a collection of templates that can be packaged into versioned archives
|
# Application charts are a collection of templates that can be packaged into versioned archives
|
||||||
@@ -11,35 +10,32 @@ description: A Helm chart for meta monitoring Grafana Loki, Mimir and Tempo
|
|||||||
# a dependency of application charts to inject those utilities and functions into the rendering
|
# a dependency of application charts to inject those utilities and functions into the rendering
|
||||||
# pipeline. Library charts do not define any templates and therefore cannot be deployed.
|
# pipeline. Library charts do not define any templates and therefore cannot be deployed.
|
||||||
type: application
|
type: application
|
||||||
|
|
||||||
# This is the chart version. This version number should be incremented each time you make changes
|
# This is the chart version. This version number should be incremented each time you make changes
|
||||||
# to the chart and its templates, including the app version.
|
# to the chart and its templates, including the app version.
|
||||||
# Versions are expected to follow Semantic Versioning (https://semver.org/)
|
# Versions are expected to follow Semantic Versioning (https://semver.org/)
|
||||||
version: 0.0.1
|
version: 0.0.2
|
||||||
|
|
||||||
# This is the version number of the application being deployed. This version number should be
|
# This is the version number of the application being deployed. This version number should be
|
||||||
# incremented each time you make changes to the application. Versions are not expected to
|
# incremented each time you make changes to the application. Versions are not expected to
|
||||||
# follow Semantic Versioning. They should reflect the version the application is using.
|
# follow Semantic Versioning. They should reflect the version the application is using.
|
||||||
# It is recommended to use it with quotes.
|
# It is recommended to use it with quotes.
|
||||||
appVersion: "0.0.1"
|
appVersion: "0.0.1"
|
||||||
|
|
||||||
dependencies:
|
dependencies:
|
||||||
- name: loki
|
- name: loki
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: "5.8.0"
|
version: 6.3.4
|
||||||
condition: local.logs.enabled
|
condition: local.logs.enabled
|
||||||
- name: grafana-agent
|
- name: alloy
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: "0.15.0"
|
version: 0.1.1
|
||||||
- name: mimir-distributed
|
- name: mimir-distributed
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: "4.4.1"
|
version: 5.3.0
|
||||||
condition: local.metrics.enabled
|
condition: local.metrics.enabled
|
||||||
- name: tempo-distributed
|
- name: tempo-distributed
|
||||||
repository: https://grafana.github.io/helm-charts
|
repository: https://grafana.github.io/helm-charts
|
||||||
version: "1.4.7"
|
version: 1.9.4
|
||||||
condition: local.traces.enabled
|
condition: local.traces.enabled
|
||||||
- name: minio
|
- name: minio
|
||||||
repository: https://charts.min.io
|
repository: https://charts.min.io
|
||||||
version: "5.0.11"
|
version: 5.2.0
|
||||||
condition: local.minio.enabled
|
condition: local.minio.enabled
|
||||||
|
7
charts/meta-monitoring/Makefile
Normal file
7
charts/meta-monitoring/Makefile
Normal file
@@ -0,0 +1,7 @@
|
|||||||
|
.DEFAULT_GOAL := lint
|
||||||
|
.PHONY: lint lint-yaml
|
||||||
|
|
||||||
|
lint: lint-yaml
|
||||||
|
|
||||||
|
lint-yaml:
|
||||||
|
yamllint -c $(CURDIR)/src/.yamllint.yaml $(CURDIR)/src
|
BIN
charts/meta-monitoring/charts/alloy-0.1.1.tgz
Normal file
BIN
charts/meta-monitoring/charts/alloy-0.1.1.tgz
Normal file
Binary file not shown.
Binary file not shown.
Binary file not shown.
BIN
charts/meta-monitoring/charts/loki-6.3.4.tgz
Normal file
BIN
charts/meta-monitoring/charts/loki-6.3.4.tgz
Normal file
Binary file not shown.
Binary file not shown.
BIN
charts/meta-monitoring/charts/mimir-distributed-5.3.0.tgz
Normal file
BIN
charts/meta-monitoring/charts/mimir-distributed-5.3.0.tgz
Normal file
Binary file not shown.
Binary file not shown.
BIN
charts/meta-monitoring/charts/minio-5.2.0.tgz
Normal file
BIN
charts/meta-monitoring/charts/minio-5.2.0.tgz
Normal file
Binary file not shown.
Binary file not shown.
BIN
charts/meta-monitoring/charts/tempo-distributed-1.9.4.tgz
Normal file
BIN
charts/meta-monitoring/charts/tempo-distributed-1.9.4.tgz
Normal file
Binary file not shown.
11
charts/meta-monitoring/ct.yaml
Normal file
11
charts/meta-monitoring/ct.yaml
Normal file
@@ -0,0 +1,11 @@
|
|||||||
|
---
|
||||||
|
remote: origin
|
||||||
|
target-branch: main
|
||||||
|
chart-dirs:
|
||||||
|
- charts
|
||||||
|
chart-repos:
|
||||||
|
- grafana=https://grafana.github.io/helm-charts
|
||||||
|
- minio=https://charts.min.io
|
||||||
|
helm-extra-args: --timeout 1200s
|
||||||
|
check-version-increment: false
|
||||||
|
validate-maintainers: false
|
4
charts/meta-monitoring/src/.yamllint.yaml
Normal file
4
charts/meta-monitoring/src/.yamllint.yaml
Normal file
@@ -0,0 +1,4 @@
|
|||||||
|
---
|
||||||
|
rules:
|
||||||
|
quoted-strings:
|
||||||
|
required: true
|
File diff suppressed because it is too large
Load Diff
@@ -62,7 +62,6 @@
|
|||||||
"expr": "sum(loki_compactor_pending_delete_requests_count{cluster=~\"$cluster\", namespace=~\"$namespace\"})",
|
"expr": "sum(loki_compactor_pending_delete_requests_count{cluster=~\"$cluster\", namespace=~\"$namespace\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -138,7 +137,6 @@
|
|||||||
"expr": "max(loki_compactor_oldest_pending_delete_request_age_seconds{cluster=~\"$cluster\", namespace=~\"$namespace\"})",
|
"expr": "max(loki_compactor_oldest_pending_delete_request_age_seconds{cluster=~\"$cluster\", namespace=~\"$namespace\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -191,232 +189,145 @@
|
|||||||
"height": "250px",
|
"height": "250px",
|
||||||
"panels": [
|
"panels": [
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 3,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 3,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 4,
|
"span": 4,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "(loki_compactor_delete_requests_received_total{cluster=~\"$cluster\", namespace=~\"$namespace\"} or on() vector(0)) - on () (loki_compactor_delete_requests_processed_total{cluster=~\"$cluster\", namespace=~\"$namespace\"} or on () vector(0))",
|
"expr": "(loki_compactor_delete_requests_received_total{cluster=~\"$cluster\", namespace=~\"$namespace\"} or on() vector(0)) - on () (loki_compactor_delete_requests_processed_total{cluster=~\"$cluster\", namespace=~\"$namespace\"} or on () vector(0))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": "in progress",
|
"legendFormat": "in progress",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "# of Delete Requests (received - processed) ",
|
"title": "# of Delete Requests (received - processed) ",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 4,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 4,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 4,
|
"span": 4,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(loki_compactor_delete_requests_received_total{cluster=~\"$cluster\", namespace=~\"$namespace\"}[1d]))",
|
"expr": "sum(increase(loki_compactor_delete_requests_received_total{cluster=~\"$cluster\", namespace=~\"$namespace\"}[1d]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": "received",
|
"legendFormat": "received",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "Delete Requests Received / Day",
|
"title": "Delete Requests Received / Day",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 5,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 5,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 4,
|
"span": 4,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(loki_compactor_delete_requests_processed_total{cluster=~\"$cluster\", namespace=~\"$namespace\"}[1d]))",
|
"expr": "sum(increase(loki_compactor_delete_requests_processed_total{cluster=~\"$cluster\", namespace=~\"$namespace\"}[1d]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": "processed",
|
"legendFormat": "processed",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "Delete Requests Processed / Day",
|
"title": "Delete Requests Processed / Day",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"repeat": null,
|
"repeat": null,
|
||||||
@@ -431,232 +342,145 @@
|
|||||||
"height": "250px",
|
"height": "250px",
|
||||||
"panels": [
|
"panels": [
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 6,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 6,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 4,
|
"span": 4,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=~\"$cluster\", namespace=~\"$namespace\", container=\"compactor\"}",
|
"expr": "node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=~\"$cluster\", namespace=~\"$namespace\", container=\"compactor\"}",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "Compactor CPU usage",
|
"title": "Compactor CPU usage",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 7,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 7,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 4,
|
"span": 4,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", namespace=~\"$namespace\", container=\"compactor\"} / 1024 / 1024 ",
|
"expr": "go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", namespace=~\"$namespace\", container=\"compactor\"} / 1024 / 1024 ",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": " {{pod}} ",
|
"legendFormat": " {{pod}} ",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "Compactor memory usage (MiB)",
|
"title": "Compactor memory usage (MiB)",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 8,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 8,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 4,
|
"span": 4,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "loki_boltdb_shipper_compact_tables_operation_duration_seconds{cluster=~\"$cluster\", namespace=~\"$namespace\"}",
|
"expr": "loki_boltdb_shipper_compact_tables_operation_duration_seconds{cluster=~\"$cluster\", namespace=~\"$namespace\"}",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "Compaction run duration (seconds)",
|
"title": "Compaction run duration (seconds)",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"repeat": null,
|
"repeat": null,
|
||||||
@@ -671,156 +495,98 @@
|
|||||||
"height": "250px",
|
"height": "250px",
|
||||||
"panels": [
|
"panels": [
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 9,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 9,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 6,
|
"span": 6,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(loki_compactor_load_pending_requests_attempts_total{status=\"fail\", cluster=~\"$cluster\", namespace=~\"$namespace\"}[1h]))",
|
"expr": "sum(increase(loki_compactor_load_pending_requests_attempts_total{status=\"fail\", cluster=~\"$cluster\", namespace=~\"$namespace\"}[1h]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": "failures",
|
"legendFormat": "failures",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "Failures in Loading Delete Requests / Hour",
|
"title": "Failures in Loading Delete Requests / Hour",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"aliasColors": { },
|
|
||||||
"bars": false,
|
|
||||||
"dashLength": 10,
|
|
||||||
"dashes": false,
|
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
"fill": 1,
|
"fieldConfig": {
|
||||||
"id": 10,
|
"defaults": {
|
||||||
"legend": {
|
"custom": {
|
||||||
"avg": false,
|
"drawStyle": "line",
|
||||||
"current": false,
|
"fillOpacity": 10,
|
||||||
"max": false,
|
"lineWidth": 1,
|
||||||
"min": false,
|
"pointSize": 5,
|
||||||
"show": true,
|
"showPoints": "never",
|
||||||
"total": false,
|
"spanNulls": false,
|
||||||
"values": false
|
"stacking": {
|
||||||
|
"group": "A",
|
||||||
|
"mode": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"thresholds": {
|
||||||
|
"mode": "absolute",
|
||||||
|
"steps": [ ]
|
||||||
|
},
|
||||||
|
"unit": "short"
|
||||||
|
},
|
||||||
|
"overrides": [ ]
|
||||||
},
|
},
|
||||||
"lines": true,
|
"id": 10,
|
||||||
"linewidth": 1,
|
|
||||||
"links": [ ],
|
"links": [ ],
|
||||||
"nullPointMode": "null as zero",
|
"options": {
|
||||||
"percentage": false,
|
"legend": {
|
||||||
"pointradius": 5,
|
"showLegend": true
|
||||||
"points": false,
|
},
|
||||||
"renderer": "flot",
|
"tooltip": {
|
||||||
"seriesOverrides": [ ],
|
"mode": "single",
|
||||||
"spaceLength": 10,
|
"sort": "none"
|
||||||
|
}
|
||||||
|
},
|
||||||
"span": 6,
|
"span": 6,
|
||||||
"stack": false,
|
|
||||||
"steppedLine": false,
|
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(loki_compactor_deleted_lines{cluster=~\"$cluster\",job=~\"$namespace/(loki|enterprise-logs)-read\"}[$__rate_interval])) by (user)",
|
"expr": "sum(rate(loki_compactor_deleted_lines{cluster=~\"$cluster\", namespace=~\"$namespace\", pod=~\"(.*/compactor|(loki|enterprise-logs)-backend.*|loki-single-binary)\"}[$__rate_interval])) by (user)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
|
||||||
"legendFormat": "{{user}}",
|
"legendFormat": "{{user}}",
|
||||||
"legendLink": null,
|
"legendLink": null
|
||||||
"step": 10
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"thresholds": [ ],
|
|
||||||
"timeFrom": null,
|
|
||||||
"timeShift": null,
|
|
||||||
"title": "Lines Deleted / Sec",
|
"title": "Lines Deleted / Sec",
|
||||||
"tooltip": {
|
"type": "timeseries"
|
||||||
"shared": true,
|
|
||||||
"sort": 2,
|
|
||||||
"value_type": "individual"
|
|
||||||
},
|
|
||||||
"type": "graph",
|
|
||||||
"xaxis": {
|
|
||||||
"buckets": null,
|
|
||||||
"mode": "time",
|
|
||||||
"name": null,
|
|
||||||
"show": true,
|
|
||||||
"values": [ ]
|
|
||||||
},
|
|
||||||
"yaxes": [
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": 0,
|
|
||||||
"show": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"format": "short",
|
|
||||||
"label": null,
|
|
||||||
"logBase": 1,
|
|
||||||
"max": null,
|
|
||||||
"min": null,
|
|
||||||
"show": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"repeat": null,
|
"repeat": null,
|
||||||
@@ -840,7 +606,7 @@
|
|||||||
"span": 6,
|
"span": 6,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "{cluster=~\"$cluster\", namespace=~\"$namespace\", container=\"compactor\"} |~ \"Started processing delete request|delete request for user marked as processed\" | logfmt | line_format \"{{.ts}} user={{.user}} delete_request_id={{.delete_request_id}} msg={{.msg}}\" ",
|
"expr": "{cluster=~\"$cluster\", namespace=~\"$namespace\", pod=~\"(.*/compactor|(loki|enterprise-logs)-backend.*|loki-single-binary)\"} |~ \"Started processing delete request|delete request for user marked as processed\" | logfmt | line_format \"{{.ts}} user={{.user}} delete_request_id={{.delete_request_id}} msg={{.msg}}\" ",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -853,7 +619,7 @@
|
|||||||
"span": 6,
|
"span": 6,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "{cluster=~\"$cluster\", namespace=~\"$namespace\", container=\"compactor\"} |~ \"delete request for user added\" | logfmt | line_format \"{{.ts}} user={{.user}} query='{{.query}}'\"",
|
"expr": "{cluster=~\"$cluster\", namespace=~\"$namespace\", pod=~\"(.*/compactor|(loki|enterprise-logs)-backend.*|loki-single-binary)\"} |~ \"delete request for user added\" | logfmt | line_format \"{{.ts}} user={{.user}} query='{{.query}}'\"",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -882,7 +648,7 @@
|
|||||||
"value": "default"
|
"value": "default"
|
||||||
},
|
},
|
||||||
"hide": 0,
|
"hide": 0,
|
||||||
"label": "Data Source",
|
"label": "Data source",
|
||||||
"name": "datasource",
|
"name": "datasource",
|
||||||
"options": [ ],
|
"options": [ ],
|
||||||
"query": "prometheus",
|
"query": "prometheus",
|
||||||
@@ -935,6 +701,16 @@
|
|||||||
"tagsQuery": "",
|
"tagsQuery": "",
|
||||||
"type": "query",
|
"type": "query",
|
||||||
"useTags": false
|
"useTags": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"hide": 0,
|
||||||
|
"label": null,
|
||||||
|
"name": "loki_datasource",
|
||||||
|
"options": [ ],
|
||||||
|
"query": "loki",
|
||||||
|
"refresh": 1,
|
||||||
|
"regex": "",
|
||||||
|
"type": "datasource"
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
@@ -77,7 +77,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -114,6 +114,11 @@
|
|||||||
"dashLength": 10,
|
"dashLength": 10,
|
||||||
"dashes": false,
|
"dashes": false,
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
|
"fieldConfig": {
|
||||||
|
"defaults": {
|
||||||
|
"unit": "s"
|
||||||
|
}
|
||||||
|
},
|
||||||
"fill": 1,
|
"fill": 1,
|
||||||
"fillGradient": 0,
|
"fillGradient": 0,
|
||||||
"gridPos": {
|
"gridPos": {
|
||||||
@@ -164,7 +169,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -236,7 +241,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(container_cpu_usage_seconds_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\", container=~\"$container\"}[5m]))",
|
"expr": "sum(rate(container_cpu_usage_seconds_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\", container=~\"$container\"}[$__rate_interval]))",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -250,7 +255,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -287,6 +292,11 @@
|
|||||||
"dashLength": 10,
|
"dashLength": 10,
|
||||||
"dashes": false,
|
"dashes": false,
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
|
"fieldConfig": {
|
||||||
|
"defaults": {
|
||||||
|
"unit": "bytes"
|
||||||
|
}
|
||||||
|
},
|
||||||
"fill": 1,
|
"fill": 1,
|
||||||
"fillGradient": 0,
|
"fillGradient": 0,
|
||||||
"gridPos": {
|
"gridPos": {
|
||||||
@@ -336,7 +346,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -373,6 +383,11 @@
|
|||||||
"dashLength": 10,
|
"dashLength": 10,
|
||||||
"dashes": false,
|
"dashes": false,
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
|
"fieldConfig": {
|
||||||
|
"defaults": {
|
||||||
|
"unit": "binBps"
|
||||||
|
}
|
||||||
|
},
|
||||||
"fill": 1,
|
"fill": 1,
|
||||||
"fillGradient": 0,
|
"fillGradient": 0,
|
||||||
"gridPos": {
|
"gridPos": {
|
||||||
@@ -408,7 +423,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(container_network_transmit_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\"}[5m]))",
|
"expr": "sum(rate(container_network_transmit_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\"}[$__rate_interval]))",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -422,7 +437,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -459,6 +474,11 @@
|
|||||||
"dashLength": 10,
|
"dashLength": 10,
|
||||||
"dashes": false,
|
"dashes": false,
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
|
"fieldConfig": {
|
||||||
|
"defaults": {
|
||||||
|
"unit": "binBps"
|
||||||
|
}
|
||||||
|
},
|
||||||
"fill": 1,
|
"fill": 1,
|
||||||
"fillGradient": 0,
|
"fillGradient": 0,
|
||||||
"gridPos": {
|
"gridPos": {
|
||||||
@@ -494,7 +514,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(container_network_receive_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\"}[5m]))",
|
"expr": "sum(rate(container_network_receive_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\"}[$__rate_interval]))",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -508,7 +528,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -595,7 +615,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -632,6 +652,11 @@
|
|||||||
"dashLength": 10,
|
"dashLength": 10,
|
||||||
"dashes": false,
|
"dashes": false,
|
||||||
"datasource": "$datasource",
|
"datasource": "$datasource",
|
||||||
|
"fieldConfig": {
|
||||||
|
"defaults": {
|
||||||
|
"unit": "ops"
|
||||||
|
}
|
||||||
|
},
|
||||||
"fill": 1,
|
"fill": 1,
|
||||||
"fillGradient": 0,
|
"fillGradient": 0,
|
||||||
"gridPos": {
|
"gridPos": {
|
||||||
@@ -667,7 +692,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(promtail_custom_bad_words_total{cluster=\"$cluster\", exported_namespace=\"$namespace\", exported_pod=~\"$deployment.*\", exported_pod=~\"$pod\", container=~\"$container\"}[5m])) by (level)",
|
"expr": "sum(rate(promtail_custom_bad_words_total{cluster=\"$cluster\", exported_namespace=\"$namespace\", exported_pod=~\"$deployment.*\", exported_pod=~\"$pod\", container=~\"$container\"}[$__rate_interval])) by (level)",
|
||||||
"legendFormat": "{{level}}",
|
"legendFormat": "{{level}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
@@ -682,7 +707,7 @@
|
|||||||
"sort": 0,
|
"sort": 0,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -718,7 +743,12 @@
|
|||||||
"bars": false,
|
"bars": false,
|
||||||
"dashLength": 10,
|
"dashLength": 10,
|
||||||
"dashes": false,
|
"dashes": false,
|
||||||
"datasource": "$logs",
|
"datasource": "$loki_datasource",
|
||||||
|
"fieldConfig": {
|
||||||
|
"defaults": {
|
||||||
|
"unit": "ops"
|
||||||
|
}
|
||||||
|
},
|
||||||
"fill": 1,
|
"fill": 1,
|
||||||
"fillGradient": 0,
|
"fillGradient": 0,
|
||||||
"gridPos": {
|
"gridPos": {
|
||||||
@@ -771,7 +801,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate({cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\", container=~\"$container\" } |logfmt| level=\"$level\" |= \"$filter\" [5m])) by (level)",
|
"expr": "sum(rate({cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$deployment.*\", pod=~\"$pod\", container=~\"$container\" } |logfmt| level=\"$level\" |= \"$filter\" | __error__=\"\" [$__interval])) by (level)",
|
||||||
"intervalFactor": 3,
|
"intervalFactor": 3,
|
||||||
"legendFormat": "{{level}}",
|
"legendFormat": "{{level}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -787,7 +817,7 @@
|
|||||||
"sort": 2,
|
"sort": 2,
|
||||||
"value_type": "individual"
|
"value_type": "individual"
|
||||||
},
|
},
|
||||||
"type": "graph",
|
"type": "timeseries",
|
||||||
"xaxis": {
|
"xaxis": {
|
||||||
"buckets": null,
|
"buckets": null,
|
||||||
"mode": "time",
|
"mode": "time",
|
||||||
@@ -819,7 +849,7 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"datasource": "$logs",
|
"datasource": "$loki_datasource",
|
||||||
"gridPos": {
|
"gridPos": {
|
||||||
"h": 19,
|
"h": 19,
|
||||||
"w": 24,
|
"w": 24,
|
||||||
@@ -861,7 +891,7 @@
|
|||||||
"value": "default"
|
"value": "default"
|
||||||
},
|
},
|
||||||
"hide": 0,
|
"hide": 0,
|
||||||
"label": "Data Source",
|
"label": "Data source",
|
||||||
"name": "datasource",
|
"name": "datasource",
|
||||||
"options": [ ],
|
"options": [ ],
|
||||||
"query": "prometheus",
|
"query": "prometheus",
|
||||||
@@ -918,7 +948,7 @@
|
|||||||
{
|
{
|
||||||
"hide": 0,
|
"hide": 0,
|
||||||
"label": null,
|
"label": null,
|
||||||
"name": "logs",
|
"name": "loki_datasource",
|
||||||
"options": [ ],
|
"options": [ ],
|
||||||
"query": "loki",
|
"query": "loki",
|
||||||
"refresh": 1,
|
"refresh": 1,
|
||||||
@@ -1069,4 +1099,4 @@
|
|||||||
"title": "Loki / Logs",
|
"title": "Loki / Logs",
|
||||||
"uid": "logs",
|
"uid": "logs",
|
||||||
"version": 0
|
"version": 0
|
||||||
}
|
}
|
@@ -1,723 +0,0 @@
|
|||||||
{
|
|
||||||
"annotations": {
|
|
||||||
"list": [ ]
|
|
||||||
},
|
|
||||||
"editable": true,
|
|
||||||
"fiscalYearStartMonth": 0,
|
|
||||||
"gnetId": null,
|
|
||||||
"graphTooltip": 0,
|
|
||||||
"hideControls": false,
|
|
||||||
"iteration": 1635347545534,
|
|
||||||
"links": [
|
|
||||||
{
|
|
||||||
"asDropdown": true,
|
|
||||||
"icon": "external link",
|
|
||||||
"includeVars": true,
|
|
||||||
"keepTime": true,
|
|
||||||
"tags": [
|
|
||||||
"loki"
|
|
||||||
],
|
|
||||||
"targetBlank": false,
|
|
||||||
"title": "Loki Dashboards",
|
|
||||||
"type": "dashboards"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"liveNow": false,
|
|
||||||
"panels": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"fieldConfig": {
|
|
||||||
"defaults": {
|
|
||||||
"color": {
|
|
||||||
"mode": "thresholds"
|
|
||||||
},
|
|
||||||
"mappings": [ ],
|
|
||||||
"noValue": "0",
|
|
||||||
"thresholds": {
|
|
||||||
"mode": "absolute",
|
|
||||||
"steps": [
|
|
||||||
{
|
|
||||||
"color": "green",
|
|
||||||
"value": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"color": "red",
|
|
||||||
"value": 1
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"overrides": [ ]
|
|
||||||
},
|
|
||||||
"gridPos": {
|
|
||||||
"h": 10,
|
|
||||||
"w": 2,
|
|
||||||
"x": 0,
|
|
||||||
"y": 0
|
|
||||||
},
|
|
||||||
"id": 2,
|
|
||||||
"options": {
|
|
||||||
"colorMode": "value",
|
|
||||||
"graphMode": "area",
|
|
||||||
"justifyMode": "auto",
|
|
||||||
"orientation": "auto",
|
|
||||||
"reduceOptions": {
|
|
||||||
"calcs": [
|
|
||||||
"lastNotNull"
|
|
||||||
],
|
|
||||||
"fields": "",
|
|
||||||
"values": false
|
|
||||||
},
|
|
||||||
"textMode": "auto"
|
|
||||||
},
|
|
||||||
"pluginVersion": "8.3.0-38205pre",
|
|
||||||
"targets": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"exemplar": false,
|
|
||||||
"expr": "sum(loki_ruler_wal_appender_ready) by (pod, tenant) == 0",
|
|
||||||
"instant": true,
|
|
||||||
"interval": "",
|
|
||||||
"legendFormat": "",
|
|
||||||
"refId": "A"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"title": "Appenders Not Ready",
|
|
||||||
"type": "stat"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"description": "",
|
|
||||||
"fieldConfig": {
|
|
||||||
"defaults": {
|
|
||||||
"color": {
|
|
||||||
"mode": "palette-classic"
|
|
||||||
},
|
|
||||||
"custom": {
|
|
||||||
"axisLabel": "",
|
|
||||||
"axisPlacement": "auto",
|
|
||||||
"barAlignment": 0,
|
|
||||||
"drawStyle": "line",
|
|
||||||
"fillOpacity": 0,
|
|
||||||
"gradientMode": "none",
|
|
||||||
"hideFrom": {
|
|
||||||
"legend": false,
|
|
||||||
"tooltip": false,
|
|
||||||
"viz": false
|
|
||||||
},
|
|
||||||
"lineInterpolation": "linear",
|
|
||||||
"lineWidth": 1,
|
|
||||||
"pointSize": 5,
|
|
||||||
"scaleDistribution": {
|
|
||||||
"type": "linear"
|
|
||||||
},
|
|
||||||
"showPoints": "auto",
|
|
||||||
"spanNulls": false,
|
|
||||||
"stacking": {
|
|
||||||
"group": "A",
|
|
||||||
"mode": "none"
|
|
||||||
},
|
|
||||||
"thresholdsStyle": {
|
|
||||||
"mode": "off"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"mappings": [ ],
|
|
||||||
"thresholds": {
|
|
||||||
"mode": "absolute",
|
|
||||||
"steps": [
|
|
||||||
{
|
|
||||||
"color": "green",
|
|
||||||
"value": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"color": "red",
|
|
||||||
"value": 80
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"overrides": [ ]
|
|
||||||
},
|
|
||||||
"gridPos": {
|
|
||||||
"h": 10,
|
|
||||||
"w": 11,
|
|
||||||
"x": 2,
|
|
||||||
"y": 0
|
|
||||||
},
|
|
||||||
"id": 4,
|
|
||||||
"options": {
|
|
||||||
"legend": {
|
|
||||||
"calcs": [ ],
|
|
||||||
"displayMode": "list",
|
|
||||||
"placement": "bottom"
|
|
||||||
},
|
|
||||||
"tooltip": {
|
|
||||||
"mode": "single"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"targets": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"exemplar": true,
|
|
||||||
"expr": "sum(rate(loki_ruler_wal_samples_appended_total{tenant=~\"${tenant}\"}[$__rate_interval])) by (tenant) > 0",
|
|
||||||
"interval": "",
|
|
||||||
"legendFormat": "{{tenant}}",
|
|
||||||
"refId": "A"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"title": "Samples Appended to WAL per Second",
|
|
||||||
"type": "timeseries"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"description": "Series are unique combinations of labels",
|
|
||||||
"fieldConfig": {
|
|
||||||
"defaults": {
|
|
||||||
"color": {
|
|
||||||
"mode": "palette-classic"
|
|
||||||
},
|
|
||||||
"custom": {
|
|
||||||
"axisLabel": "",
|
|
||||||
"axisPlacement": "auto",
|
|
||||||
"barAlignment": 0,
|
|
||||||
"drawStyle": "line",
|
|
||||||
"fillOpacity": 0,
|
|
||||||
"gradientMode": "none",
|
|
||||||
"hideFrom": {
|
|
||||||
"legend": false,
|
|
||||||
"tooltip": false,
|
|
||||||
"viz": false
|
|
||||||
},
|
|
||||||
"lineInterpolation": "linear",
|
|
||||||
"lineWidth": 1,
|
|
||||||
"pointSize": 5,
|
|
||||||
"scaleDistribution": {
|
|
||||||
"type": "linear"
|
|
||||||
},
|
|
||||||
"showPoints": "auto",
|
|
||||||
"spanNulls": false,
|
|
||||||
"stacking": {
|
|
||||||
"group": "A",
|
|
||||||
"mode": "none"
|
|
||||||
},
|
|
||||||
"thresholdsStyle": {
|
|
||||||
"mode": "off"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"mappings": [ ],
|
|
||||||
"thresholds": {
|
|
||||||
"mode": "absolute",
|
|
||||||
"steps": [
|
|
||||||
{
|
|
||||||
"color": "green",
|
|
||||||
"value": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"color": "red",
|
|
||||||
"value": 80
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"overrides": [ ]
|
|
||||||
},
|
|
||||||
"gridPos": {
|
|
||||||
"h": 10,
|
|
||||||
"w": 11,
|
|
||||||
"x": 13,
|
|
||||||
"y": 0
|
|
||||||
},
|
|
||||||
"id": 5,
|
|
||||||
"options": {
|
|
||||||
"legend": {
|
|
||||||
"calcs": [ ],
|
|
||||||
"displayMode": "list",
|
|
||||||
"placement": "bottom"
|
|
||||||
},
|
|
||||||
"tooltip": {
|
|
||||||
"mode": "single"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"targets": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"exemplar": true,
|
|
||||||
"expr": "sum(rate(loki_ruler_wal_storage_created_series_total{tenant=~\"${tenant}\"}[$__rate_interval])) by (tenant) > 0",
|
|
||||||
"interval": "",
|
|
||||||
"legendFormat": "{{tenant}}",
|
|
||||||
"refId": "A"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"title": "Series Created per Second",
|
|
||||||
"type": "timeseries"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"description": "Difference between highest timestamp appended to WAL and highest timestamp successfully written to remote storage",
|
|
||||||
"fieldConfig": {
|
|
||||||
"defaults": {
|
|
||||||
"color": {
|
|
||||||
"mode": "palette-classic"
|
|
||||||
},
|
|
||||||
"custom": {
|
|
||||||
"axisLabel": "",
|
|
||||||
"axisPlacement": "auto",
|
|
||||||
"barAlignment": 0,
|
|
||||||
"drawStyle": "line",
|
|
||||||
"fillOpacity": 0,
|
|
||||||
"gradientMode": "none",
|
|
||||||
"hideFrom": {
|
|
||||||
"legend": false,
|
|
||||||
"tooltip": false,
|
|
||||||
"viz": false
|
|
||||||
},
|
|
||||||
"lineInterpolation": "linear",
|
|
||||||
"lineWidth": 1,
|
|
||||||
"pointSize": 5,
|
|
||||||
"scaleDistribution": {
|
|
||||||
"type": "linear"
|
|
||||||
},
|
|
||||||
"showPoints": "auto",
|
|
||||||
"spanNulls": false,
|
|
||||||
"stacking": {
|
|
||||||
"group": "A",
|
|
||||||
"mode": "none"
|
|
||||||
},
|
|
||||||
"thresholdsStyle": {
|
|
||||||
"mode": "off"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"mappings": [ ],
|
|
||||||
"thresholds": {
|
|
||||||
"mode": "absolute",
|
|
||||||
"steps": [
|
|
||||||
{
|
|
||||||
"color": "green",
|
|
||||||
"value": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"color": "red",
|
|
||||||
"value": 80
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"overrides": [ ]
|
|
||||||
},
|
|
||||||
"gridPos": {
|
|
||||||
"h": 10,
|
|
||||||
"w": 12,
|
|
||||||
"x": 0,
|
|
||||||
"y": 10
|
|
||||||
},
|
|
||||||
"id": 6,
|
|
||||||
"options": {
|
|
||||||
"legend": {
|
|
||||||
"calcs": [ ],
|
|
||||||
"displayMode": "list",
|
|
||||||
"placement": "bottom"
|
|
||||||
},
|
|
||||||
"tooltip": {
|
|
||||||
"mode": "single"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"targets": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"exemplar": true,
|
|
||||||
"expr": "loki_ruler_wal_prometheus_remote_storage_highest_timestamp_in_seconds{tenant=~\"${tenant}\"}\n- on (tenant)\n (\n loki_ruler_wal_prometheus_remote_storage_queue_highest_sent_timestamp_seconds{tenant=~\"${tenant}\"}\n or vector(0)\n )",
|
|
||||||
"interval": "",
|
|
||||||
"legendFormat": "{{tenant}}",
|
|
||||||
"refId": "A"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"title": "Write Behind",
|
|
||||||
"type": "timeseries"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"description": "",
|
|
||||||
"fieldConfig": {
|
|
||||||
"defaults": {
|
|
||||||
"color": {
|
|
||||||
"mode": "palette-classic"
|
|
||||||
},
|
|
||||||
"custom": {
|
|
||||||
"axisLabel": "",
|
|
||||||
"axisPlacement": "auto",
|
|
||||||
"barAlignment": 0,
|
|
||||||
"drawStyle": "line",
|
|
||||||
"fillOpacity": 0,
|
|
||||||
"gradientMode": "none",
|
|
||||||
"hideFrom": {
|
|
||||||
"legend": false,
|
|
||||||
"tooltip": false,
|
|
||||||
"viz": false
|
|
||||||
},
|
|
||||||
"lineInterpolation": "linear",
|
|
||||||
"lineWidth": 1,
|
|
||||||
"pointSize": 5,
|
|
||||||
"scaleDistribution": {
|
|
||||||
"type": "linear"
|
|
||||||
},
|
|
||||||
"showPoints": "auto",
|
|
||||||
"spanNulls": false,
|
|
||||||
"stacking": {
|
|
||||||
"group": "A",
|
|
||||||
"mode": "none"
|
|
||||||
},
|
|
||||||
"thresholdsStyle": {
|
|
||||||
"mode": "off"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"mappings": [ ],
|
|
||||||
"thresholds": {
|
|
||||||
"mode": "absolute",
|
|
||||||
"steps": [
|
|
||||||
{
|
|
||||||
"color": "green",
|
|
||||||
"value": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"color": "red",
|
|
||||||
"value": 80
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"overrides": [ ]
|
|
||||||
},
|
|
||||||
"gridPos": {
|
|
||||||
"h": 10,
|
|
||||||
"w": 12,
|
|
||||||
"x": 12,
|
|
||||||
"y": 10
|
|
||||||
},
|
|
||||||
"id": 7,
|
|
||||||
"options": {
|
|
||||||
"legend": {
|
|
||||||
"calcs": [ ],
|
|
||||||
"displayMode": "list",
|
|
||||||
"placement": "bottom"
|
|
||||||
},
|
|
||||||
"tooltip": {
|
|
||||||
"mode": "single"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"targets": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"exemplar": true,
|
|
||||||
"expr": "sum(rate(loki_ruler_wal_prometheus_remote_storage_samples_total{tenant=~\"${tenant}\"}[$__rate_interval])) by (tenant) > 0",
|
|
||||||
"interval": "",
|
|
||||||
"legendFormat": "{{tenant}}",
|
|
||||||
"refId": "A"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"title": "Samples Sent per Second",
|
|
||||||
"type": "timeseries"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"description": "\n",
|
|
||||||
"fieldConfig": {
|
|
||||||
"defaults": {
|
|
||||||
"color": {
|
|
||||||
"mode": "palette-classic"
|
|
||||||
},
|
|
||||||
"custom": {
|
|
||||||
"axisLabel": "",
|
|
||||||
"axisPlacement": "auto",
|
|
||||||
"barAlignment": 0,
|
|
||||||
"drawStyle": "line",
|
|
||||||
"fillOpacity": 0,
|
|
||||||
"gradientMode": "none",
|
|
||||||
"hideFrom": {
|
|
||||||
"legend": false,
|
|
||||||
"tooltip": false,
|
|
||||||
"viz": false
|
|
||||||
},
|
|
||||||
"lineInterpolation": "linear",
|
|
||||||
"lineWidth": 1,
|
|
||||||
"pointSize": 5,
|
|
||||||
"scaleDistribution": {
|
|
||||||
"type": "linear"
|
|
||||||
},
|
|
||||||
"showPoints": "auto",
|
|
||||||
"spanNulls": false,
|
|
||||||
"stacking": {
|
|
||||||
"group": "A",
|
|
||||||
"mode": "none"
|
|
||||||
},
|
|
||||||
"thresholdsStyle": {
|
|
||||||
"mode": "off"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"mappings": [ ],
|
|
||||||
"thresholds": {
|
|
||||||
"mode": "absolute",
|
|
||||||
"steps": [
|
|
||||||
{
|
|
||||||
"color": "green",
|
|
||||||
"value": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"color": "red",
|
|
||||||
"value": 80
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"unit": "bytes"
|
|
||||||
},
|
|
||||||
"overrides": [ ]
|
|
||||||
},
|
|
||||||
"gridPos": {
|
|
||||||
"h": 10,
|
|
||||||
"w": 12,
|
|
||||||
"x": 0,
|
|
||||||
"y": 20
|
|
||||||
},
|
|
||||||
"id": 8,
|
|
||||||
"options": {
|
|
||||||
"legend": {
|
|
||||||
"calcs": [ ],
|
|
||||||
"displayMode": "list",
|
|
||||||
"placement": "bottom"
|
|
||||||
},
|
|
||||||
"tooltip": {
|
|
||||||
"mode": "single"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"targets": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"exemplar": true,
|
|
||||||
"expr": "sum by (tenant) (loki_ruler_wal_disk_size{tenant=~\"${tenant}\"})",
|
|
||||||
"interval": "",
|
|
||||||
"legendFormat": "{{tenant}}",
|
|
||||||
"refId": "A"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"title": "WAL Disk Size",
|
|
||||||
"type": "timeseries"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"description": "Some number of pending samples is expected, but if remote-write is failing this value will remain high",
|
|
||||||
"fieldConfig": {
|
|
||||||
"defaults": {
|
|
||||||
"color": {
|
|
||||||
"mode": "palette-classic"
|
|
||||||
},
|
|
||||||
"custom": {
|
|
||||||
"axisLabel": "",
|
|
||||||
"axisPlacement": "auto",
|
|
||||||
"barAlignment": 0,
|
|
||||||
"drawStyle": "line",
|
|
||||||
"fillOpacity": 0,
|
|
||||||
"gradientMode": "none",
|
|
||||||
"hideFrom": {
|
|
||||||
"legend": false,
|
|
||||||
"tooltip": false,
|
|
||||||
"viz": false
|
|
||||||
},
|
|
||||||
"lineInterpolation": "linear",
|
|
||||||
"lineWidth": 1,
|
|
||||||
"pointSize": 5,
|
|
||||||
"scaleDistribution": {
|
|
||||||
"type": "linear"
|
|
||||||
},
|
|
||||||
"showPoints": "auto",
|
|
||||||
"spanNulls": false,
|
|
||||||
"stacking": {
|
|
||||||
"group": "A",
|
|
||||||
"mode": "none"
|
|
||||||
},
|
|
||||||
"thresholdsStyle": {
|
|
||||||
"mode": "off"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"mappings": [ ],
|
|
||||||
"thresholds": {
|
|
||||||
"mode": "absolute",
|
|
||||||
"steps": [
|
|
||||||
{
|
|
||||||
"color": "green",
|
|
||||||
"value": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"color": "red",
|
|
||||||
"value": 80
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"overrides": [ ]
|
|
||||||
},
|
|
||||||
"gridPos": {
|
|
||||||
"h": 10,
|
|
||||||
"w": 12,
|
|
||||||
"x": 12,
|
|
||||||
"y": 20
|
|
||||||
},
|
|
||||||
"id": 9,
|
|
||||||
"options": {
|
|
||||||
"legend": {
|
|
||||||
"calcs": [ ],
|
|
||||||
"displayMode": "list",
|
|
||||||
"placement": "bottom"
|
|
||||||
},
|
|
||||||
"tooltip": {
|
|
||||||
"mode": "single"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"targets": [
|
|
||||||
{
|
|
||||||
"datasource": "${datasource}",
|
|
||||||
"exemplar": true,
|
|
||||||
"expr": "max(loki_ruler_wal_prometheus_remote_storage_samples_pending{tenant=~\"${tenant}\"}) by (tenant,pod) > 0",
|
|
||||||
"interval": "",
|
|
||||||
"legendFormat": "{{tenant}}",
|
|
||||||
"refId": "A"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"title": "Pending Samples",
|
|
||||||
"type": "timeseries"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"refresh": "10s",
|
|
||||||
"rows": [ ],
|
|
||||||
"schemaVersion": 14,
|
|
||||||
"style": "dark",
|
|
||||||
"tags": [
|
|
||||||
"loki"
|
|
||||||
],
|
|
||||||
"templating": {
|
|
||||||
"list": [
|
|
||||||
{
|
|
||||||
"current": {
|
|
||||||
"text": "default",
|
|
||||||
"value": "default"
|
|
||||||
},
|
|
||||||
"hide": 0,
|
|
||||||
"label": "Data Source",
|
|
||||||
"name": "datasource",
|
|
||||||
"options": [ ],
|
|
||||||
"query": "prometheus",
|
|
||||||
"refresh": 1,
|
|
||||||
"regex": "",
|
|
||||||
"type": "datasource"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"allValue": null,
|
|
||||||
"current": {
|
|
||||||
"text": "prod",
|
|
||||||
"value": "prod"
|
|
||||||
},
|
|
||||||
"datasource": "$datasource",
|
|
||||||
"hide": 0,
|
|
||||||
"includeAll": false,
|
|
||||||
"label": "cluster",
|
|
||||||
"multi": false,
|
|
||||||
"name": "cluster",
|
|
||||||
"options": [ ],
|
|
||||||
"query": "label_values(loki_build_info, cluster)",
|
|
||||||
"refresh": 1,
|
|
||||||
"regex": "",
|
|
||||||
"sort": 2,
|
|
||||||
"tagValuesQuery": "",
|
|
||||||
"tags": [ ],
|
|
||||||
"tagsQuery": "",
|
|
||||||
"type": "query",
|
|
||||||
"useTags": false
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"allValue": null,
|
|
||||||
"current": {
|
|
||||||
"text": "prod",
|
|
||||||
"value": "prod"
|
|
||||||
},
|
|
||||||
"datasource": "$datasource",
|
|
||||||
"hide": 0,
|
|
||||||
"includeAll": false,
|
|
||||||
"label": "namespace",
|
|
||||||
"multi": false,
|
|
||||||
"name": "namespace",
|
|
||||||
"options": [ ],
|
|
||||||
"query": "label_values(loki_build_info{cluster=~\"$cluster\"}, namespace)",
|
|
||||||
"refresh": 1,
|
|
||||||
"regex": "",
|
|
||||||
"sort": 2,
|
|
||||||
"tagValuesQuery": "",
|
|
||||||
"tags": [ ],
|
|
||||||
"tagsQuery": "",
|
|
||||||
"type": "query",
|
|
||||||
"useTags": false
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"hide": 0,
|
|
||||||
"label": null,
|
|
||||||
"name": "loki_datasource",
|
|
||||||
"options": [ ],
|
|
||||||
"query": "loki",
|
|
||||||
"refresh": 1,
|
|
||||||
"regex": "",
|
|
||||||
"type": "datasource"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"allValue": ".+",
|
|
||||||
"current": { },
|
|
||||||
"datasource": "$datasource",
|
|
||||||
"hide": 0,
|
|
||||||
"includeAll": true,
|
|
||||||
"label": null,
|
|
||||||
"multi": false,
|
|
||||||
"name": "tenant",
|
|
||||||
"options": [ ],
|
|
||||||
"query": "query_result(sum by (id) (grafanacloud_logs_instance_info) and sum(label_replace(loki_tenant:active_streams{cluster=\"$cluster\",namespace=\"$namespace\"},\"id\",\"$1\",\"tenant\",\"(.*)\")) by(id))",
|
|
||||||
"refresh": 0,
|
|
||||||
"regex": "/\"([^\"]+)\"/",
|
|
||||||
"sort": 1,
|
|
||||||
"tagValuesQuery": "",
|
|
||||||
"tags": [ ],
|
|
||||||
"tagsQuery": "",
|
|
||||||
"type": "query",
|
|
||||||
"useTags": false
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"time": {
|
|
||||||
"from": "now-1h",
|
|
||||||
"to": "now"
|
|
||||||
},
|
|
||||||
"timepicker": {
|
|
||||||
"refresh_intervals": [
|
|
||||||
"5s",
|
|
||||||
"10s",
|
|
||||||
"30s",
|
|
||||||
"1m",
|
|
||||||
"5m",
|
|
||||||
"15m",
|
|
||||||
"30m",
|
|
||||||
"1h",
|
|
||||||
"2h",
|
|
||||||
"1d"
|
|
||||||
],
|
|
||||||
"time_options": [
|
|
||||||
"5m",
|
|
||||||
"15m",
|
|
||||||
"1h",
|
|
||||||
"6h",
|
|
||||||
"12h",
|
|
||||||
"24h",
|
|
||||||
"2d",
|
|
||||||
"7d",
|
|
||||||
"30d"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"timezone": "utc",
|
|
||||||
"title": "Loki / Recording Rules",
|
|
||||||
"uid": "recording-rules",
|
|
||||||
"version": 0,
|
|
||||||
"weekStart": ""
|
|
||||||
}
|
|
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -67,7 +67,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job_pod:cortex_alertmanager_alerts:sum{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum(cluster_job_pod:cortex_alertmanager_alerts:sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -143,7 +143,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job_pod:cortex_alertmanager_silences:sum{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum(cluster_job_pod:cortex_alertmanager_silences:sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -219,7 +219,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "max(cortex_alertmanager_tenants_discovered{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "max(cortex_alertmanager_tenants_discovered{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -315,7 +315,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -390,7 +390,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -398,7 +398,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -406,7 +406,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\", route=~\"/alertmanagerpb.Alertmanager/HandleRequest\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -497,14 +497,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job:cortex_alertmanager_alerts_received_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job:cortex_alertmanager_alerts_invalid_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
"expr": "sum(cluster_job:cortex_alertmanager_alerts_received_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job:cortex_alertmanager_alerts_invalid_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job:cortex_alertmanager_alerts_invalid_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum(cluster_job:cortex_alertmanager_alerts_invalid_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -591,7 +591,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "cortex_alertmanager_dispatcher_aggregation_groups{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}",
|
"expr": "cortex_alertmanager_dispatcher_aggregation_groups{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -681,14 +681,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job_integration:cortex_alertmanager_notifications_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
"expr": "sum(cluster_job_integration:cortex_alertmanager_notifications_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
"expr": "sum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -763,14 +763,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "(\nsum(cluster_job_integration:cortex_alertmanager_notifications_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}) by(integration)\n-\nsum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}) by(integration)\n) > 0\nor on () vector(0)\n",
|
"expr": "(\nsum(cluster_job_integration:cortex_alertmanager_notifications_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}) by(integration)\n-\nsum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}) by(integration)\n) > 0\nor on () vector(0)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "success - {{ integration }}",
|
"legendFormat": "success - {{ integration }}",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}) by(integration)",
|
"expr": "sum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}) by(integration)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed - {{ integration }}",
|
"legendFormat": "failed - {{ integration }}",
|
||||||
@@ -845,21 +845,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_alertmanager_notification_latency_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_alertmanager_notification_latency_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_alertmanager_notification_latency_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_alertmanager_notification_latency_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_notification_latency_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_alertmanager_notification_latency_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_alertmanager_notification_latency_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_alertmanager_notification_latency_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1613,7 +1613,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "max by(pod) (cortex_alertmanager_tenants_owned{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "max by(pod) (cortex_alertmanager_tenants_owned{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -1688,7 +1688,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(pod) (cluster_job_pod:cortex_alertmanager_alerts:sum{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum by(pod) (cluster_job_pod:cortex_alertmanager_alerts:sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -1763,7 +1763,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(pod) (cluster_job_pod:cortex_alertmanager_silences:sum{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum by(pod) (cluster_job_pod:cortex_alertmanager_silences:sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -1853,14 +1853,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_sync_configs_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_alertmanager_sync_configs_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_alertmanager_sync_configs_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_alertmanager_sync_configs_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_sync_configs_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_alertmanager_sync_configs_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -1935,7 +1935,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(reason) (rate(cortex_alertmanager_sync_configs_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum by(reason) (rate(cortex_alertmanager_sync_configs_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{reason}}",
|
"legendFormat": "{{reason}}",
|
||||||
@@ -2010,7 +2010,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum (rate(cortex_alertmanager_ring_check_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum (rate(cortex_alertmanager_ring_check_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "errors",
|
"legendFormat": "errors",
|
||||||
@@ -2097,7 +2097,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(outcome) (rate(cortex_alertmanager_state_initial_sync_completed_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum by(outcome) (rate(cortex_alertmanager_state_initial_sync_completed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2173,7 +2173,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2181,7 +2181,7 @@
|
|||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2189,7 +2189,7 @@
|
|||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_alertmanager_state_initial_sync_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2268,7 +2268,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_state_fetch_replica_state_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_alertmanager_state_fetch_replica_state_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_alertmanager_state_fetch_replica_state_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_alertmanager_state_fetch_replica_state_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2276,7 +2276,7 @@
|
|||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_state_fetch_replica_state_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_alertmanager_state_fetch_replica_state_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2367,14 +2367,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job:cortex_alertmanager_state_replication_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job:cortex_alertmanager_state_replication_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
"expr": "sum(cluster_job:cortex_alertmanager_state_replication_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job:cortex_alertmanager_state_replication_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job:cortex_alertmanager_state_replication_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum(cluster_job:cortex_alertmanager_state_replication_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -2452,14 +2452,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job:cortex_alertmanager_partial_state_merges_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job:cortex_alertmanager_partial_state_merges_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
"expr": "sum(cluster_job:cortex_alertmanager_partial_state_merges_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n-\nsum(cluster_job:cortex_alertmanager_partial_state_merges_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_job:cortex_alertmanager_partial_state_merges_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum(cluster_job:cortex_alertmanager_partial_state_merges_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -2537,14 +2537,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_state_persist_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_alertmanager_state_persist_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_alertmanager_state_persist_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_alertmanager_state_persist_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_alertmanager_state_persist_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_alertmanager_state_persist_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
|
@@ -71,21 +71,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_runs_started_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_compactor_runs_started_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "started",
|
"legendFormat": "started",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_runs_completed_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_compactor_runs_completed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "completed",
|
"legendFormat": "completed",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_runs_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_compactor_runs_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -152,7 +152,7 @@
|
|||||||
"span": 3,
|
"span": 3,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "(\n cortex_compactor_tenants_processing_succeeded{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"} +\n cortex_compactor_tenants_processing_failed{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"} +\n cortex_compactor_tenants_skipped{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}\n)\n/\ncortex_compactor_tenants_discovered{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"} > 0\n",
|
"expr": "(\n cortex_compactor_tenants_processing_succeeded{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"} +\n cortex_compactor_tenants_processing_failed{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"} +\n cortex_compactor_tenants_skipped{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}\n)\n/\ncortex_compactor_tenants_discovered{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"} > 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -279,7 +279,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "max by(pod)\n(\n (time() * (max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[1h]) !=bool 0))\n -\n max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[1h])\n)\n",
|
"expr": "max by(pod)\n(\n (time() * (max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[1h]) !=bool 0))\n -\n max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[1h])\n)\n",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -505,7 +505,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "max by(pod)\n(\n (time() * (max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[1h]) !=bool 0))\n -\n max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[1h])\n)\n",
|
"expr": "max by(pod)\n(\n (time() * (max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[1h]) !=bool 0))\n -\n max_over_time(cortex_compactor_last_successful_run_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[1h])\n)\n",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -654,7 +654,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(prometheus_tsdb_compactions_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(prometheus_tsdb_compactions_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "compactions",
|
"legendFormat": "compactions",
|
||||||
@@ -730,21 +730,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(prometheus_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(prometheus_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(prometheus_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(prometheus_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(prometheus_tsdb_compaction_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(prometheus_tsdb_compaction_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(prometheus_tsdb_compaction_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(prometheus_tsdb_compaction_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -831,7 +831,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "avg(max by(user) (cortex_bucket_blocks_count{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}))",
|
"expr": "avg(max by(user) (cortex_bucket_blocks_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "avg",
|
"legendFormat": "avg",
|
||||||
@@ -907,7 +907,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk(10, max by(user) (cortex_bucket_blocks_count{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}))",
|
"expr": "topk(10, max by(user) (cortex_bucket_blocks_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{user}}",
|
"legendFormat": "{{user}}",
|
||||||
@@ -994,7 +994,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_blocks_marked_for_deletion_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_compactor_blocks_marked_for_deletion_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "blocks",
|
"legendFormat": "blocks",
|
||||||
@@ -1072,14 +1072,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_blocks_cleaned_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_compactor_blocks_cleaned_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_block_cleanup_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_compactor_block_cleanup_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -1169,14 +1169,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_meta_syncs_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_compactor_meta_sync_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_compactor_meta_syncs_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_compactor_meta_sync_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_meta_sync_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_compactor_meta_sync_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -1251,21 +1251,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_compactor_meta_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_compactor_meta_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_compactor_meta_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_compactor_meta_sync_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_compactor_meta_sync_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_compactor_meta_sync_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_compactor_meta_sync_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_compactor_meta_sync_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2028,7 +2028,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -2103,21 +2103,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\", kv_name=~\".+\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
|
@@ -81,7 +81,7 @@
|
|||||||
"uid": "$datasource"
|
"uid": "$datasource"
|
||||||
},
|
},
|
||||||
"exemplar": false,
|
"exemplar": false,
|
||||||
"expr": "(\n # gRPC errors are not tracked as 5xx but \"error\".\n sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"5.*|error\"}[$__rate_interval]))\n or\n # Handle the case no failure has been tracked yet.\n vector(0)\n)\n/\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
"expr": "(\n # gRPC errors are not tracked as 5xx but \"error\".\n sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"5.*|error\"}[$__rate_interval]))\n or\n # Handle the case no failure has been tracked yet.\n vector(0)\n)\n/\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"legendFormat": "Writes",
|
"legendFormat": "Writes",
|
||||||
"range": true
|
"range": true
|
||||||
@@ -91,7 +91,7 @@
|
|||||||
"uid": "$datasource"
|
"uid": "$datasource"
|
||||||
},
|
},
|
||||||
"exemplar": false,
|
"exemplar": false,
|
||||||
"expr": "(\n sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"5.*\"}[$__rate_interval]))\n or\n # Handle the case no failure has been tracked yet.\n vector(0)\n)\n/\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
"expr": "(\n sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"5.*\"}[$__rate_interval]))\n or\n # Handle the case no failure has been tracked yet.\n vector(0)\n)\n/\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"legendFormat": "Reads",
|
"legendFormat": "Reads",
|
||||||
"range": true
|
"range": true
|
||||||
@@ -101,7 +101,7 @@
|
|||||||
"uid": "$datasource"
|
"uid": "$datasource"
|
||||||
},
|
},
|
||||||
"exemplar": false,
|
"exemplar": false,
|
||||||
"expr": "(\n (\n sum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n +\n # Consider missed evaluations as failures.\n sum(rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n )\n or\n # Handle the case no failure has been tracked yet.\n vector(0)\n)\n/\nsum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "(\n (\n sum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n +\n # Consider missed evaluations as failures.\n sum(rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n )\n or\n # Handle the case no failure has been tracked yet.\n vector(0)\n)\n/\nsum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"legendFormat": "Rule evaluations",
|
"legendFormat": "Rule evaluations",
|
||||||
"range": true
|
"range": true
|
||||||
@@ -111,7 +111,7 @@
|
|||||||
"uid": "$datasource"
|
"uid": "$datasource"
|
||||||
},
|
},
|
||||||
"exemplar": false,
|
"exemplar": false,
|
||||||
"expr": "(\n # Failed notifications from ruler to Alertmanager (handling the case the ruler metrics are missing).\n ((sum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n) or vector(0))\n +\n # Failed notifications from Alertmanager to receivers (handling the case the alertmanager metrics are missing).\n ((sum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n) or vector(0))\n)\n/\n(\n # Total notifications from ruler to Alertmanager (handling the case the ruler metrics are missing).\n ((sum(rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n) or vector(0))\n +\n # Total notifications from Alertmanager to receivers (handling the case the alertmanager metrics are missing).\n ((sum(cluster_job_integration:cortex_alertmanager_notifications_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((alertmanager|cortex|mimir|mimir-backend.*))\"})\n) or vector(0))\n)\n",
|
"expr": "(\n # Failed notifications from ruler to Alertmanager (handling the case the ruler metrics are missing).\n ((sum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n) or vector(0))\n +\n # Failed notifications from Alertmanager to receivers (handling the case the alertmanager metrics are missing).\n ((sum(cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n) or vector(0))\n)\n/\n(\n # Total notifications from ruler to Alertmanager (handling the case the ruler metrics are missing).\n ((sum(rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n) or vector(0))\n +\n # Total notifications from Alertmanager to receivers (handling the case the alertmanager metrics are missing).\n ((sum(cluster_job_integration:cortex_alertmanager_notifications_total:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*alertmanager|cortex|mimir|mimir-backend.*))\"})\n) or vector(0))\n)\n",
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"legendFormat": "Alerting notifications",
|
"legendFormat": "Alerting notifications",
|
||||||
"range": true
|
"range": true
|
||||||
@@ -214,7 +214,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -289,7 +289,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -297,7 +297,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -305,7 +305,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -381,14 +381,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_namespace_job:cortex_distributor_received_samples:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})",
|
"expr": "sum(cluster_namespace_job:cortex_distributor_received_samples:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "samples / sec",
|
"legendFormat": "samples / sec",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_namespace_job:cortex_distributor_received_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})",
|
"expr": "sum(cluster_namespace_job:cortex_distributor_received_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "exemplars / sec",
|
"legendFormat": "exemplars / sec",
|
||||||
@@ -495,7 +495,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -570,7 +570,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -578,7 +578,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -586,7 +586,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -699,63 +699,63 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "instant queries",
|
"legendFormat": "instant queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query_range\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query_range\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "range queries",
|
"legendFormat": "range queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_labels\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_labels\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "\"label names\" queries",
|
"legendFormat": "\"label names\" queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_label_name_values\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_label_name_values\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "\"label values\" queries",
|
"legendFormat": "\"label values\" queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_series\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_series\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "series queries",
|
"legendFormat": "series queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_read\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_read\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "remote read queries",
|
"legendFormat": "remote read queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_metadata\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_metadata\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "metadata queries",
|
"legendFormat": "metadata queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query_exemplars\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query_exemplars\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "exemplar queries",
|
"legendFormat": "exemplar queries",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_.*\",route!~\".*(query|query_range|label.*|series|read|metadata|query_exemplars)\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_.*\",route!~\".*(query|query_range|label.*|series|read|metadata|query_exemplars)\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "other",
|
"legendFormat": "other",
|
||||||
@@ -856,21 +856,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "success",
|
"legendFormat": "success",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "missed",
|
"legendFormat": "missed",
|
||||||
@@ -945,7 +945,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum (rate(cortex_prometheus_rule_evaluation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum (rate(cortex_prometheus_rule_evaluation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum (rate(cortex_prometheus_rule_evaluation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum (rate(cortex_prometheus_rule_evaluation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "average",
|
"legendFormat": "average",
|
||||||
@@ -1023,14 +1023,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n -\nsum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n -\nsum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -1317,7 +1317,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(max by(user) (max_over_time(cortex_bucket_blocks_count{cluster=~\"$cluster\", job=~\"($namespace)/((compactor.*|cortex|mimir|mimir-backend.*))\"}[15m])))",
|
"expr": "sum(max by(user) (max_over_time(cortex_bucket_blocks_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*compactor.*|cortex|mimir|mimir-backend.*))\"}[15m])))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "blocks",
|
"legendFormat": "blocks",
|
||||||
|
@@ -66,21 +66,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_query_frontend_queue_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_query_frontend_queue_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_query_frontend_queue_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_query_frontend_queue_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -155,21 +155,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_query_frontend_retries_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_query_frontend_retries_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_query_frontend_retries_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_query_frontend_retries_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_query_frontend_retries_sum{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_query_frontend_retries_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_query_frontend_retries_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_query_frontend_retries_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -244,7 +244,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(pod) (cortex_query_frontend_queue_length{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"})",
|
"expr": "sum by(pod) (cortex_query_frontend_queue_length{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -309,7 +309,7 @@
|
|||||||
"span": 3,
|
"span": 3,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(user) (cortex_query_frontend_queue_length{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}) > 0",
|
"expr": "sum by(user) (cortex_query_frontend_queue_length{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}) > 0",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{user}}",
|
"legendFormat": "{{user}}",
|
||||||
@@ -572,7 +572,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_frontend_split_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) / sum(rate(cortex_frontend_query_range_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", method=\"split_by_interval_and_results_cache\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_frontend_split_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) / sum(rate(cortex_frontend_query_range_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", method=\"split_by_interval_and_results_cache\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "splitting rate",
|
"legendFormat": "splitting rate",
|
||||||
@@ -647,7 +647,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "# Query the new metric introduced in Mimir 2.10.\n(\n sum by(request_type) (rate(cortex_frontend_query_result_cache_hits_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n /\n sum by(request_type) (rate(cortex_frontend_query_result_cache_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n)\n# Otherwise fallback to the previous general-purpose metrics.\nor\n(\n label_replace(\n # Query metrics before and after migration to new memcached backend.\n sum (\n rate(cortex_cache_hits{name=~\"frontend.+\", cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n or\n rate(thanos_cache_memcached_hits_total{name=\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n )\n /\n sum (\n rate(cortex_cache_fetched_keys{name=~\"frontend.+\", cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n or\n rate(thanos_cache_memcached_requests_total{name=~\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n ),\n \"request_type\", \"query_range\", \"\", \"\")\n)\n",
|
"expr": "# Query the new metric introduced in Mimir 2.10.\n(\n sum by(request_type) (rate(cortex_frontend_query_result_cache_hits_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n /\n sum by(request_type) (rate(cortex_frontend_query_result_cache_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n)\n# Otherwise fallback to the previous general-purpose metrics.\nor\n(\n label_replace(\n # Query metrics before and after migration to new memcached backend.\n sum (\n rate(cortex_cache_hits{name=~\"frontend.+\", cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n or\n rate(thanos_cache_memcached_hits_total{name=\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n )\n /\n sum (\n rate(cortex_cache_fetched_keys{name=~\"frontend.+\", cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n or\n rate(thanos_cache_memcached_requests_total{name=~\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n ),\n \"request_type\", \"query_range\", \"\", \"\")\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{request_type}}",
|
"legendFormat": "{{request_type}}",
|
||||||
@@ -723,7 +723,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_frontend_query_result_cache_skipped_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (reason) /\nignoring (reason) group_left sum(rate(cortex_frontend_query_result_cache_attempted_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_frontend_query_result_cache_skipped_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (reason) /\nignoring (reason) group_left sum(rate(cortex_frontend_query_result_cache_attempted_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{reason}}",
|
"legendFormat": "{{reason}}",
|
||||||
@@ -811,7 +811,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_frontend_query_sharding_rewrites_succeeded_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) /\nsum(rate(cortex_frontend_query_sharding_rewrites_attempted_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_frontend_query_sharding_rewrites_succeeded_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) /\nsum(rate(cortex_frontend_query_sharding_rewrites_attempted_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "sharded queries ratio",
|
"legendFormat": "sharded queries ratio",
|
||||||
@@ -887,21 +887,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_frontend_sharded_queries_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_frontend_sharded_queries_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_frontend_sharded_queries_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_frontend_sharded_queries_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_frontend_sharded_queries_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_frontend_sharded_queries_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_frontend_sharded_queries_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_frontend_sharded_queries_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -988,7 +988,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job:cortex_ingester_queried_series_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job:cortex_ingester_queried_series_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -996,7 +996,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job:cortex_ingester_queried_series_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job:cortex_ingester_queried_series_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -1004,7 +1004,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1 * sum(cluster_job:cortex_ingester_queried_series_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}) / sum(cluster_job:cortex_ingester_queried_series_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})",
|
"expr": "1 * sum(cluster_job:cortex_ingester_queried_series_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}) / sum(cluster_job:cortex_ingester_queried_series_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1080,7 +1080,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job:cortex_ingester_queried_samples_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job:cortex_ingester_queried_samples_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -1088,7 +1088,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job:cortex_ingester_queried_samples_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job:cortex_ingester_queried_samples_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -1096,7 +1096,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1 * sum(cluster_job:cortex_ingester_queried_samples_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}) / sum(cluster_job:cortex_ingester_queried_samples_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})",
|
"expr": "1 * sum(cluster_job:cortex_ingester_queried_samples_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}) / sum(cluster_job:cortex_ingester_queried_samples_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1172,7 +1172,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job:cortex_ingester_queried_exemplars_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job:cortex_ingester_queried_exemplars_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -1180,7 +1180,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job:cortex_ingester_queried_exemplars_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job:cortex_ingester_queried_exemplars_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -1188,7 +1188,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1 * sum(cluster_job:cortex_ingester_queried_exemplars_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}) / sum(cluster_job:cortex_ingester_queried_exemplars_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})",
|
"expr": "1 * sum(cluster_job:cortex_ingester_queried_exemplars_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}) / sum(cluster_job:cortex_ingester_queried_exemplars_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1276,21 +1276,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_querier_storegateway_instances_hit_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_instances_hit_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_querier_storegateway_instances_hit_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_instances_hit_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1365,21 +1365,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_querier_storegateway_refetches_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_refetches_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_querier_storegateway_refetches_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_refetches_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1456,7 +1456,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_querier_blocks_consistency_checks_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) / sum(rate(cortex_querier_blocks_consistency_checks_total{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_querier_blocks_consistency_checks_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) / sum(rate(cortex_querier_blocks_consistency_checks_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Failure Rate",
|
"legendFormat": "Failure Rate",
|
||||||
@@ -1532,7 +1532,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (reason) (rate(cortex_querier_queries_rejected_total{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) / ignoring (reason) group_left sum(rate(cortex_querier_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_query(_range)?\"}[$__rate_interval]))",
|
"expr": "sum by (reason) (rate(cortex_querier_queries_rejected_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) / ignoring (reason) group_left sum(rate(cortex_querier_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_query(_range)?\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{reason}}",
|
"legendFormat": "{{reason}}",
|
||||||
@@ -1619,21 +1619,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "max(cortex_bucket_index_loaded{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"})",
|
"expr": "max(cortex_bucket_index_loaded{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Max",
|
"legendFormat": "Max",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "min(cortex_bucket_index_loaded{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"})",
|
"expr": "min(cortex_bucket_index_loaded{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Min",
|
"legendFormat": "Min",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "avg(cortex_bucket_index_loaded{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"})",
|
"expr": "avg(cortex_bucket_index_loaded{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1711,14 +1711,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_index_loads_total{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) - sum(rate(cortex_bucket_index_load_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_index_loads_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) - sum(rate(cortex_bucket_index_load_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_index_load_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_index_load_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -1793,21 +1793,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_bucket_index_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_bucket_index_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_bucket_index_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_bucket_index_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_index_load_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_bucket_index_load_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_index_load_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_bucket_index_load_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1894,7 +1894,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_store_series_blocks_queried_sum{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_store_series_blocks_queried_sum{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "blocks",
|
"legendFormat": "blocks",
|
||||||
@@ -1969,7 +1969,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(data_type) (\n # Exclude \"chunks refetched\".\n rate(cortex_bucket_store_series_data_size_fetched_bytes_sum{component=\"store-gateway\", stage!=\"refetched\", cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n)\n",
|
"expr": "sum by(data_type) (\n # Exclude \"chunks refetched\".\n rate(cortex_bucket_store_series_data_size_fetched_bytes_sum{component=\"store-gateway\", stage!=\"refetched\", cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{data_type}}",
|
"legendFormat": "{{data_type}}",
|
||||||
@@ -2044,7 +2044,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(data_type) (\n # Exclude \"chunks processed\" to only count \"chunks returned\", other than postings and series.\n rate(cortex_bucket_store_series_data_size_touched_bytes_sum{component=\"store-gateway\", stage!=\"processed\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n)\n",
|
"expr": "sum by(data_type) (\n # Exclude \"chunks processed\" to only count \"chunks returned\", other than postings and series.\n rate(cortex_bucket_store_series_data_size_touched_bytes_sum{component=\"store-gateway\", stage!=\"processed\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{data_type}}",
|
"legendFormat": "{{data_type}}",
|
||||||
@@ -2131,7 +2131,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(stage) (rate(cortex_bucket_store_series_request_stage_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum by(stage) (rate(cortex_bucket_store_series_request_stage_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum by(stage) (rate(cortex_bucket_store_series_request_stage_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum by(stage) (rate(cortex_bucket_store_series_request_stage_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{stage}}",
|
"legendFormat": "{{stage}}",
|
||||||
@@ -2206,7 +2206,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by(stage, le) (rate(cortex_bucket_store_series_request_stage_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])))\n",
|
"expr": "histogram_quantile(0.99, sum by(stage, le) (rate(cortex_bucket_store_series_request_stage_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{stage}}",
|
"legendFormat": "{{stage}}",
|
||||||
@@ -2282,7 +2282,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "# Clamping min to 0 because if preloading not useful at all, then the actual value we get is\n# slightly negative because of the small overhead introduced by preloading.\nclamp_min(1 - (\n sum(rate(cortex_bucket_store_series_batch_preloading_wait_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\n sum(rate(cortex_bucket_store_series_batch_preloading_load_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n), 0)\n",
|
"expr": "# Clamping min to 0 because if preloading not useful at all, then the actual value we get is\n# slightly negative because of the small overhead introduced by preloading.\nclamp_min(1 - (\n sum(rate(cortex_bucket_store_series_batch_preloading_wait_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\n sum(rate(cortex_bucket_store_series_batch_preloading_load_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n), 0)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "% of time reduced by preloading",
|
"legendFormat": "% of time reduced by preloading",
|
||||||
@@ -2369,7 +2369,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "cortex_bucket_store_blocks_loaded{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}",
|
"expr": "cortex_bucket_store_blocks_loaded{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -2447,14 +2447,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_store_block_loads_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) - sum(rate(cortex_bucket_store_block_load_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_store_block_loads_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) - sum(rate(cortex_bucket_store_block_load_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_store_block_load_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_store_block_load_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -2532,14 +2532,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_store_block_drops_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) - sum(rate(cortex_bucket_store_block_drop_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_store_block_drops_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) - sum(rate(cortex_bucket_store_block_drop_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_store_block_drop_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_store_block_drop_failures_total{component=\"store-gateway\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -2626,7 +2626,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "cortex_bucket_store_indexheader_lazy_load_total{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"} - cortex_bucket_store_indexheader_lazy_unload_total{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}",
|
"expr": "cortex_bucket_store_indexheader_lazy_load_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"} - cortex_bucket_store_indexheader_lazy_unload_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -2701,21 +2701,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_bucket_store_indexheader_lazy_load_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2791,21 +2791,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_bucket_stores_gate_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_bucket_stores_gate_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_bucket_stores_gate_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_bucket_stores_gate_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_stores_gate_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_bucket_stores_gate_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_bucket_stores_gate_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_bucket_stores_gate_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",gate=\"index_header\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2892,7 +2892,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_bucket_store_series_hash_cache_hits_total{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum(rate(cortex_bucket_store_series_hash_cache_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_bucket_store_series_hash_cache_hits_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum(rate(cortex_bucket_store_series_hash_cache_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "hit ratio",
|
"legendFormat": "hit ratio",
|
||||||
@@ -2967,7 +2967,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(thanos_store_index_cache_hits_total{item_type=\"ExpandedPostings\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum(rate(thanos_store_index_cache_requests_total{item_type=\"ExpandedPostings\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(thanos_store_index_cache_hits_total{item_type=\"ExpandedPostings\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum(rate(thanos_store_index_cache_requests_total{item_type=\"ExpandedPostings\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "hit ratio",
|
"legendFormat": "hit ratio",
|
||||||
@@ -3042,7 +3042,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_cache_memory_hits_total{name=\"chunks-attributes-cache\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum(rate(cortex_cache_memory_requests_total{name=\"chunks-attributes-cache\",cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_cache_memory_hits_total{name=\"chunks-attributes-cache\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n/\nsum(rate(cortex_cache_memory_requests_total{name=\"chunks-attributes-cache\",cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "hit ratio",
|
"legendFormat": "hit ratio",
|
||||||
|
@@ -1571,7 +1571,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(pod) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum by(pod) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
|
@@ -91,7 +91,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n rate(\n cortex_request_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",\n route=~\"(prometheus|api_prom)_api_v1_query\"\n }[$__rate_interval]\n )\n or\n rate(\n cortex_prometheus_rule_evaluations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n",
|
"expr": "sum(\n rate(\n cortex_request_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",\n route=~\"(prometheus|api_prom)_api_v1_query\"\n }[$__rate_interval]\n )\n or\n rate(\n cortex_prometheus_rule_evaluations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -168,7 +168,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query_range\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_query_range\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -245,7 +245,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_labels\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_labels\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -322,7 +322,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_label_name_values\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_label_name_values\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -399,7 +399,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_series\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\",route=~\"(prometheus|api_prom)_api_v1_series\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -495,7 +495,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -570,7 +570,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -578,7 +578,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -586,7 +586,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -670,7 +670,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval])))",
|
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval])))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
@@ -920,7 +920,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum (\n rate(thanos_memcached_operations_total{name=\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{name=\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n)\n",
|
"expr": "sum (\n rate(thanos_memcached_operations_total{name=\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{name=\"frontend-cache\", cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\"}[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Requests/s",
|
"legendFormat": "Requests/s",
|
||||||
@@ -995,7 +995,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -1003,7 +1003,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -1011,7 +1011,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", name=\"frontend-cache\"}[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1108,7 +1108,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_querier_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_querier_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -1183,7 +1183,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -1191,7 +1191,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -1199,7 +1199,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_querier_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}) / sum(cluster_job_route:cortex_querier_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_querier_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}) / sum(cluster_job_route:cortex_querier_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1283,7 +1283,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_querier_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval])))",
|
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_querier_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval])))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
@@ -1346,7 +1346,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\",route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\",route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -1421,7 +1421,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -1429,7 +1429,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -1437,7 +1437,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1521,7 +1521,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"}[$__rate_interval])))",
|
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=~\"/cortex.Ingester/Query(Stream)?|/cortex.Ingester/MetricsForLabelMatchers|/cortex.Ingester/LabelValues|/cortex.Ingester/MetricsMetadata\"}[$__rate_interval])))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
@@ -1584,7 +1584,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",route=~\"/gatewaypb.StoreGateway/.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",route=~\"/gatewaypb.StoreGateway/.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -1659,7 +1659,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -1667,7 +1667,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -1675,7 +1675,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1759,7 +1759,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"}[$__rate_interval])))",
|
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", route=~\"/gatewaypb.StoreGateway/.*\"}[$__rate_interval])))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
@@ -2084,7 +2084,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -2159,21 +2159,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\", kv_name=~\"store-gateway\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2260,7 +2260,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(\n thanos_memcached_operations_total{\n component=\"store-gateway\",\n name=\"index-cache\",\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n or ignoring(backend)\n rate(\n thanos_cache_operations_total{\n component=\"store-gateway\",\n name=\"index-cache\",\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n",
|
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(\n thanos_memcached_operations_total{\n component=\"store-gateway\",\n name=\"index-cache\",\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n or ignoring(backend)\n rate(\n thanos_cache_operations_total{\n component=\"store-gateway\",\n name=\"index-cache\",\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{operation}}",
|
"legendFormat": "{{operation}}",
|
||||||
@@ -2335,7 +2335,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -2343,7 +2343,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -2351,7 +2351,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"index-cache\"\n}\n[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2428,7 +2428,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(item_type) (\n rate(\n thanos_store_index_cache_hits_total{\n component=\"store-gateway\",\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n/\nsum by(item_type) (\n rate(\n thanos_store_index_cache_requests_total{\n component=\"store-gateway\",\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n",
|
"expr": "sum by(item_type) (\n rate(\n thanos_store_index_cache_hits_total{\n component=\"store-gateway\",\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n/\nsum by(item_type) (\n rate(\n thanos_store_index_cache_requests_total{\n component=\"store-gateway\",\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\"\n }[$__rate_interval]\n )\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{item_type}}",
|
"legendFormat": "{{item_type}}",
|
||||||
@@ -2515,7 +2515,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(thanos_memcached_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n)\n",
|
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(thanos_memcached_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{operation}}",
|
"legendFormat": "{{operation}}",
|
||||||
@@ -2590,7 +2590,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -2598,7 +2598,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -2606,7 +2606,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n}\n[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2682,7 +2682,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_cache_memcached_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n)\n/\nsum(\n # Backwards compatibility\n rate(thanos_cache_memcached_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_cache_memcached_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n)\n/\nsum(\n # Backwards compatibility\n rate(thanos_cache_memcached_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"chunks-cache\"\n }[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "items",
|
"legendFormat": "items",
|
||||||
@@ -2769,7 +2769,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(thanos_memcached_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(thanos_memcached_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{operation}}",
|
"legendFormat": "{{operation}}",
|
||||||
@@ -2844,7 +2844,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -2852,7 +2852,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -2860,7 +2860,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n operation=\"getmulti\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2936,7 +2936,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_cache_memcached_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n/\nsum(\n # Backwards compatibility\n rate(thanos_cache_memcached_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_cache_memcached_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n/\nsum(\n # Backwards compatibility\n rate(thanos_cache_memcached_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*store-gateway.*|cortex|mimir|mimir-backend.*))\",\n component=\"store-gateway\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "items",
|
"legendFormat": "items",
|
||||||
@@ -3023,7 +3023,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(thanos_memcached_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
"expr": "sum by(operation) (\n # Backwards compatibility\n rate(thanos_memcached_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or ignoring(backend)\n rate(thanos_cache_operations_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{operation}}",
|
"legendFormat": "{{operation}}",
|
||||||
@@ -3098,7 +3098,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.99, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -3106,7 +3106,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
"expr": "histogram_quantile(0.50, sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_bucket{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) by (le)) * 1e3\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -3114,7 +3114,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_sum{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n) * 1e3\n/\nsum(\n # Backwards compatibility\n rate(thanos_memcached_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n or\n rate(thanos_cache_operation_duration_seconds_count{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n operation=\"getmulti\",\n component=\"querier\",\n name=\"metadata-cache\"\n}\n[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -3190,7 +3190,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n # Backwards compatibility\n rate(thanos_cache_memcached_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n/\nsum(\n # Backwards compatibility\n rate(thanos_cache_memcached_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
"expr": "sum(\n # Backwards compatibility\n rate(thanos_cache_memcached_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_hits_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n/\nsum(\n # Backwards compatibility\n rate(thanos_cache_memcached_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n or\n rate(thanos_cache_requests_total{\n cluster=~\"$cluster\", job=~\"($namespace)/((.*querier.*|cortex|mimir|mimir-read.*))\",\n component=\"querier\",\n name=\"metadata-cache\"\n }[$__rate_interval])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "items",
|
"legendFormat": "items",
|
||||||
|
@@ -242,7 +242,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"2.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"2.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -354,7 +354,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"4.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"4.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -462,7 +462,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"5.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\",status_code=~\"5.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -574,7 +574,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}))\n",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -678,7 +678,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"2.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"2.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -790,7 +790,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"4.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"4.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -898,7 +898,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"5.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\",status_code=~\"5.+\"}[$__rate_interval])) /\nsum(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}[$__rate_interval]))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -1010,7 +1010,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}))\n",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}))\n",
|
||||||
"format": null,
|
"format": null,
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
@@ -1290,14 +1290,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "1 - (\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"} offset 24h))[1h:])\n /\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}))[1h:])\n)\n",
|
"expr": "1 - (\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"} offset 24h))[1h:])\n /\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"api_(v1|prom)_push|otlp_v1_metrics\"}))[1h:])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "writes",
|
"legendFormat": "writes",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1 - (\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"} offset 24h))[1h:])\n /\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}))[1h:])\n)\n",
|
"expr": "1 - (\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"} offset 24h))[1h:])\n /\n avg_over_time(histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", route=~\"(prometheus|api_prom)_api_v1_.+\"}))[1h:])\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "reads",
|
"legendFormat": "reads",
|
||||||
|
@@ -67,7 +67,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cortex_ruler_managers_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum(cortex_ruler_managers_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -143,7 +143,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"})",
|
"expr": "sum(cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -220,7 +220,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -296,7 +296,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -386,21 +386,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n-\nsum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "success",
|
"legendFormat": "success",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "missed",
|
"legendFormat": "missed",
|
||||||
@@ -475,7 +475,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum (rate(cortex_prometheus_rule_evaluation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum (rate(cortex_prometheus_rule_evaluation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum (rate(cortex_prometheus_rule_evaluation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum (rate(cortex_prometheus_rule_evaluation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "average",
|
"legendFormat": "average",
|
||||||
@@ -571,7 +571,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -646,21 +646,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", operation=\"/cortex.Ingester/Push\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -756,7 +756,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -831,21 +831,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_ingester_client_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_client_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_ingester_client_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*|ruler-querier.*))\", operation=\"/cortex.Ingester/QueryStream\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -941,7 +941,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -1016,21 +1016,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", kv_name=~\"ruler\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1117,21 +1117,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_instances_hit_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_querier_storegateway_instances_hit_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_instances_hit_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_querier_storegateway_instances_hit_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_instances_hit_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1206,21 +1206,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_querier_storegateway_refetches_per_query_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) by (le)) * 1",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_querier_storegateway_refetches_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_refetches_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_querier_storegateway_refetches_per_query_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) * 1 / sum(rate(cortex_querier_storegateway_refetches_per_query_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1297,7 +1297,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_querier_blocks_consistency_checks_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) / sum(rate(cortex_querier_blocks_consistency_checks_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_querier_blocks_consistency_checks_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) / sum(rate(cortex_querier_blocks_consistency_checks_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Failures / sec",
|
"legendFormat": "Failures / sec",
|
||||||
@@ -1374,7 +1374,7 @@
|
|||||||
"span": 4,
|
"span": 4,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(user) (rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum by(user) (rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]) > 0)\n> 0\n",
|
"expr": "sum by(user) (rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum by(user) (rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]) > 0)\n> 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -1422,7 +1422,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(user) (rate(cortex_prometheus_notifications_queue_length{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum by(user) (rate(cortex_prometheus_notifications_queue_capacity{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0\n",
|
"expr": "sum by(user) (rate(cortex_prometheus_notifications_queue_length{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum by(user) (rate(cortex_prometheus_notifications_queue_capacity{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -1487,7 +1487,7 @@
|
|||||||
"span": 4,
|
"span": 4,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (user) (increase(cortex_prometheus_notifications_dropped_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0\n",
|
"expr": "sum by (user) (increase(cortex_prometheus_notifications_dropped_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -1541,7 +1541,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(user) (rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0",
|
"expr": "sum by(user) (rate(cortex_prometheus_rule_group_iterations_missed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -1616,7 +1616,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "rate(cortex_prometheus_rule_group_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n /\nrate(cortex_prometheus_rule_group_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n",
|
"expr": "rate(cortex_prometheus_rule_group_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n /\nrate(cortex_prometheus_rule_group_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -1691,7 +1691,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(rule_group) (rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0",
|
"expr": "sum by(rule_group) (rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval])) > 0",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ rule_group }}",
|
"legendFormat": "{{ rule_group }}",
|
||||||
@@ -1778,7 +1778,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(user) (rate(cortex_prometheus_rule_evaluation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum by(user) (rate(cortex_prometheus_rule_evaluation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
"expr": "sum by(user) (rate(cortex_prometheus_rule_evaluation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n /\nsum by(user) (rate(cortex_prometheus_rule_evaluation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}[$__rate_interval]))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
|
@@ -96,7 +96,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n (\n cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n - cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n (\n cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n - cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "in-memory",
|
"legendFormat": "in-memory",
|
||||||
@@ -110,14 +110,14 @@
|
|||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(\n cortex_ingester_active_series{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n cortex_ingester_active_series{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "active",
|
"legendFormat": "active",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum by (name) (\n cortex_ingester_active_series_custom_tracker{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n) > 0\n",
|
"expr": "sum by (name) (\n cortex_ingester_active_series_custom_tracker{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n) > 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "active ({{ name }})",
|
"legendFormat": "active ({{ name }})",
|
||||||
@@ -199,14 +199,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n cortex_ingester_active_native_histogram_series{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n cortex_ingester_active_native_histogram_series{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "active",
|
"legendFormat": "active",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum by (name) (\n cortex_ingester_active_native_histogram_series_custom_tracker{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n) > 0\n",
|
"expr": "sum by (name) (\n cortex_ingester_active_native_histogram_series_custom_tracker{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n) > 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "active ({{ name }})",
|
"legendFormat": "active ({{ name }})",
|
||||||
@@ -288,14 +288,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n cortex_ingester_active_native_histogram_buckets{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n cortex_ingester_active_native_histogram_buckets{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "buckets",
|
"legendFormat": "buckets",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum by (name) (\n cortex_ingester_active_native_histogram_buckets_custom_tracker{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n) > 0\n",
|
"expr": "sum by (name) (\n cortex_ingester_active_native_histogram_buckets_custom_tracker{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n) > 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "buckets ({{ name }})",
|
"legendFormat": "buckets ({{ name }})",
|
||||||
@@ -377,7 +377,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n cortex_ingester_tsdb_exemplar_series_with_exemplars_in_storage{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n cortex_ingester_tsdb_exemplar_series_with_exemplars_in_storage{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "series",
|
"legendFormat": "series",
|
||||||
@@ -447,7 +447,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "time() - max(cortex_distributor_latest_seen_sample_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"} > 0)",
|
"expr": "time() - max(cortex_distributor_latest_seen_sample_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"} > 0)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "age",
|
"legendFormat": "age",
|
||||||
@@ -517,7 +517,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "time() - min(cortex_ingester_tsdb_exemplar_last_exemplars_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"} > 0)",
|
"expr": "time() - min(cortex_ingester_tsdb_exemplar_last_exemplars_timestamp_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"} > 0)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "age",
|
"legendFormat": "age",
|
||||||
@@ -599,7 +599,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_requests_in_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_requests_in_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -681,7 +681,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_received_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_received_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -764,7 +764,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (reason) (rate(cortex_discarded_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum by (reason) (rate(cortex_discarded_requests_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ reason }}",
|
"legendFormat": "{{ reason }}",
|
||||||
@@ -846,7 +846,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_samples_in_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_samples_in_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -928,7 +928,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -1011,14 +1011,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_deduped_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_deduped_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "deduplicated",
|
"legendFormat": "deduplicated",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_non_ha_samples_received_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_non_ha_samples_received_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "non-HA",
|
"legendFormat": "non-HA",
|
||||||
@@ -1094,14 +1094,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (reason) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum by (reason) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ reason }} (distributor)",
|
"legendFormat": "{{ reason }} (distributor)",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum by (reason) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum by (reason) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ reason }} (ingester)",
|
"legendFormat": "{{ reason }} (ingester)",
|
||||||
@@ -1183,7 +1183,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_exemplars_in_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_exemplars_in_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -1253,7 +1253,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_distributor_received_exemplars_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_distributor_received_exemplars_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -1329,7 +1329,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (reason) (rate(cortex_discarded_exemplars_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum by (reason) (rate(cortex_discarded_exemplars_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ reason }}",
|
"legendFormat": "{{ reason }}",
|
||||||
@@ -1399,7 +1399,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n rate(cortex_ingester_tsdb_exemplar_exemplars_appended_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval])\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n rate(cortex_ingester_tsdb_exemplar_exemplars_appended_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"}[$__rate_interval])\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -1487,7 +1487,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (job) (cortex_ingester_tsdb_symbol_table_size_bytes{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"})",
|
"expr": "sum by (job) (cortex_ingester_tsdb_symbol_table_size_bytes{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ job }}",
|
"legendFormat": "{{ job }}",
|
||||||
@@ -1563,7 +1563,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (job) (cortex_ingester_tsdb_storage_blocks_bytes{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"})",
|
"expr": "sum by (job) (cortex_ingester_tsdb_storage_blocks_bytes{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", user=\"$user\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ job }}",
|
"legendFormat": "{{ job }}",
|
||||||
@@ -1657,7 +1657,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "count(sum by (rule_group) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}))",
|
"expr": "count(sum by (rule_group) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "groups",
|
"legendFormat": "groups",
|
||||||
@@ -1734,7 +1734,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"})",
|
"expr": "sum(cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rules",
|
"legendFormat": "rules",
|
||||||
@@ -1803,7 +1803,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_prometheus_rule_evaluations_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -1878,7 +1878,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (rule_group) (rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval])) > 0",
|
"expr": "sum by (rule_group) (rate(cortex_prometheus_rule_evaluation_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval])) > 0",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ rule_group }}",
|
"legendFormat": "{{ rule_group }}",
|
||||||
@@ -2003,7 +2003,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (rule_group) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}))",
|
"expr": "topk($limit, sum by (rule_group) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}))",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2118,7 +2118,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (rule_group) (cortex_prometheus_rule_group_last_duration_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}))",
|
"expr": "topk($limit, sum by (rule_group) (cortex_prometheus_rule_group_last_duration_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}))",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2201,7 +2201,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_prometheus_notifications_sent_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -2272,7 +2272,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_prometheus_notifications_errors_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "rate",
|
"legendFormat": "rate",
|
||||||
@@ -2359,7 +2359,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_query_frontend_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/((query-frontend.*|cortex|mimir|mimir-read.*))\", user=\"$user\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_query_frontend_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*query-frontend.*|cortex|mimir|mimir-read.*))\", user=\"$user\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Queries / Sec",
|
"legendFormat": "Queries / Sec",
|
||||||
|
@@ -127,7 +127,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit,\n sum by (user) (\n cortex_ingester_active_series{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n )\n)\n",
|
"expr": "topk($limit,\n sum by (user) (\n cortex_ingester_active_series{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n )\n)\n",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -254,7 +254,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} )\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} )\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"} )\n)\n)",
|
"expr": "topk($limit, sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} )\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} )\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"} )\n)\n)",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -343,7 +343,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} )\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} )\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"} )\n)\n\nand\ntopk($limit, sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} @ end())\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} @ end())\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"} @ end())\n)\n - sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} @ start())\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"} @ start())\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"} @ start())\n)\n)\n",
|
"expr": "sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} )\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} )\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"} )\n)\n\nand\ntopk($limit, sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} @ end())\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} @ end())\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"} @ end())\n)\n - sum by (user) (\n (\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_created_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} @ start())\n -\n sum by (user, cluster, namespace) (cortex_ingester_memory_series_removed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"} @ start())\n )\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"} @ start())\n)\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -468,7 +468,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"}[5m])))",
|
"expr": "topk($limit, sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"}[5m])))",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -557,7 +557,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))\nand\ntopk($limit,\n sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ end()))\n -\n sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ start()))\n)\n",
|
"expr": "sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))\nand\ntopk($limit,\n sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ end()))\n -\n sum by (user) (rate(cortex_distributor_received_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ start()))\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -682,7 +682,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*|distributor|cortex|mimir|mimir-write.*))\"}[5m])))",
|
"expr": "topk($limit, sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*|.*distributor|cortex|mimir|mimir-write.*))\"}[5m])))",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -771,7 +771,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*|distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))\nand\ntopk($limit,\n sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*|distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ end()))\n -\n sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*|distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ start()))\n)\n",
|
"expr": "sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*|.*distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))\nand\ntopk($limit,\n sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*|.*distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ end()))\n -\n sum by (user) (rate(cortex_discarded_samples_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*|.*distributor|cortex|mimir|mimir-write.*))\"}[$__rate_interval] @ start()))\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{ user }}",
|
"legendFormat": "{{ user }}",
|
||||||
@@ -896,7 +896,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit,\n sum by (user) (\n cortex_ingester_tsdb_exemplar_series_with_exemplars_in_storage{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n )\n)\n",
|
"expr": "topk($limit,\n sum by (user) (\n cortex_ingester_tsdb_exemplar_series_with_exemplars_in_storage{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n )\n)\n",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1023,7 +1023,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (user) (rate(cortex_distributor_received_exemplars_total{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"}[5m])))",
|
"expr": "topk($limit, sum by (user) (rate(cortex_distributor_received_exemplars_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"}[5m])))",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1150,7 +1150,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (rule_group, user) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}))",
|
"expr": "topk($limit, sum by (rule_group, user) (cortex_prometheus_rule_group_rules{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}))",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1277,7 +1277,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "topk($limit, sum by (rule_group, user) (cortex_prometheus_rule_group_last_duration_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((ruler|cortex|mimir|mimir-backend.*))\"}))",
|
"expr": "topk($limit, sum by (rule_group, user) (cortex_prometheus_rule_group_last_duration_seconds{cluster=~\"$cluster\", job=~\"($namespace)/((.*ruler|cortex|mimir|mimir-backend.*))\"}))",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
|
@@ -590,7 +590,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(pod) (cortex_ingester_memory_series{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"})",
|
"expr": "sum by(pod) (cortex_ingester_memory_series{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
|
@@ -90,7 +90,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_namespace_job:cortex_distributor_received_samples:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})",
|
"expr": "sum(cluster_namespace_job:cortex_distributor_received_samples:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -167,7 +167,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_namespace_job:cortex_distributor_received_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})",
|
"expr": "sum(cluster_namespace_job:cortex_distributor_received_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -244,7 +244,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cortex_ingester_memory_series{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}\n/ on(cluster, namespace) group_left\nmax by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"}))\n",
|
"expr": "sum(cortex_ingester_memory_series{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}\n/ on(cluster, namespace) group_left\nmax by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"}))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -321,7 +321,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cortex_ingester_tsdb_exemplar_exemplars_in_storage{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}\n/ on(cluster, namespace) group_left\nmax by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"}))\n",
|
"expr": "sum(cortex_ingester_tsdb_exemplar_exemplars_in_storage{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}\n/ on(cluster, namespace) group_left\nmax by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"}))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -397,7 +397,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "count(count by(user) (cortex_ingester_active_series{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}))",
|
"expr": "count(count by(user) (cortex_ingester_active_series{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -493,7 +493,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -568,7 +568,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -576,7 +576,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -584,7 +584,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -668,7 +668,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval])))",
|
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", route=~\"/distributor.Distributor/Push|/httpgrpc.*|api_(v1|prom)_push|otlp_v1_metrics\"}[$__rate_interval])))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
@@ -731,7 +731,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\",route=\"/cortex.Ingester/Push\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\",route=\"/cortex.Ingester/Push\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -806,7 +806,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"})) * 1e3",
|
"expr": "histogram_quantile(0.99, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
@@ -814,7 +814,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"})) * 1e3",
|
"expr": "histogram_quantile(0.50, sum by (le) (cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"})) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
@@ -822,7 +822,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"})",
|
"expr": "1e3 * sum(cluster_job_route:cortex_request_duration_seconds_sum:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"}) / sum(cluster_job_route:cortex_request_duration_seconds_count:sum_rate{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -906,7 +906,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"}[$__rate_interval])))",
|
"expr": "histogram_quantile(0.99, sum by(le, pod) (rate(cortex_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", route=\"/cortex.Ingester/Push\"}[$__rate_interval])))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
@@ -1302,7 +1302,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -1377,21 +1377,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-hatracker\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1487,7 +1487,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -1562,21 +1562,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\", kv_name=~\"distributor-(lifecycler|ring)\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1672,7 +1672,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "{{status}}",
|
"legendFormat": "{{status}}",
|
||||||
@@ -1747,21 +1747,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_kv_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_kv_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\", kv_name=~\"ingester-.*\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -1852,14 +1852,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_shipper_uploads_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) - sum(rate(cortex_ingester_shipper_upload_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_shipper_uploads_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) - sum(rate(cortex_ingester_shipper_upload_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_shipper_upload_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_shipper_upload_failures_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -1935,21 +1935,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(thanos_objstore_bucket_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(thanos_objstore_bucket_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(thanos_objstore_bucket_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(thanos_objstore_bucket_operation_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(thanos_objstore_bucket_operation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval])) * 1e3 / sum(rate(thanos_objstore_bucket_operation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval]))",
|
"expr": "sum(rate(thanos_objstore_bucket_operation_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval])) * 1e3 / sum(rate(thanos_objstore_bucket_operation_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\",component=\"ingester\",operation=\"upload\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2040,14 +2040,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_compactions_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_compactions_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_compactions_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_compactions_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -2123,21 +2123,21 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "99th Percentile",
|
"legendFormat": "99th Percentile",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) by (le)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "50th Percentile",
|
"legendFormat": "50th Percentile",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) * 1e3 / sum(rate(cortex_ingester_tsdb_compaction_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "Average",
|
"legendFormat": "Average",
|
||||||
@@ -2228,14 +2228,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_wal_truncations_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) - sum(rate(cortex_ingester_tsdb_wal_truncations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_wal_truncations_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) - sum(rate(cortex_ingester_tsdb_wal_truncations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_wal_truncations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_wal_truncations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -2314,14 +2314,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_checkpoint_creations_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) - sum(rate(cortex_ingester_tsdb_checkpoint_creations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_checkpoint_creations_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) - sum(rate(cortex_ingester_tsdb_checkpoint_creations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "successful",
|
"legendFormat": "successful",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_checkpoint_creations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_checkpoint_creations_failed_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "failed",
|
"legendFormat": "failed",
|
||||||
@@ -2387,7 +2387,7 @@
|
|||||||
"span": 3,
|
"span": 3,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_wal_truncate_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))\n/\nsum(rate(cortex_ingester_tsdb_wal_truncate_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) >= 0\n",
|
"expr": "sum(rate(cortex_ingester_tsdb_wal_truncate_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))\n/\nsum(rate(cortex_ingester_tsdb_wal_truncate_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval])) >= 0\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "avg",
|
"legendFormat": "avg",
|
||||||
@@ -2432,14 +2432,14 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_wal_corruptions_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_wal_corruptions_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "WAL",
|
"legendFormat": "WAL",
|
||||||
"legendLink": null
|
"legendLink": null
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(cortex_ingester_tsdb_mmap_chunk_corruptions_total{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
"expr": "sum(rate(cortex_ingester_tsdb_mmap_chunk_corruptions_total{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "mmap-ed chunks",
|
"legendFormat": "mmap-ed chunks",
|
||||||
@@ -2527,7 +2527,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_namespace_job:cortex_distributor_exemplars_in:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})",
|
"expr": "sum(cluster_namespace_job:cortex_distributor_exemplars_in:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "incoming exemplars",
|
"legendFormat": "incoming exemplars",
|
||||||
@@ -2603,7 +2603,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(cluster_namespace_job:cortex_distributor_received_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})",
|
"expr": "sum(cluster_namespace_job:cortex_distributor_received_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "received exemplars",
|
"legendFormat": "received exemplars",
|
||||||
@@ -2679,7 +2679,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n cluster_namespace_job:cortex_ingester_ingested_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n cluster_namespace_job:cortex_ingester_ingested_exemplars:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "ingested exemplars",
|
"legendFormat": "ingested exemplars",
|
||||||
@@ -2755,7 +2755,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(\n cluster_namespace_job:cortex_ingester_tsdb_exemplar_exemplars_appended:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
"expr": "sum(\n cluster_namespace_job:cortex_ingester_tsdb_exemplar_exemplars_appended:rate5m{cluster=~\"$cluster\", job=~\"($namespace)/((.*ingester.*|cortex|mimir|mimir-write.*))\"}\n / on(cluster, namespace) group_left\n max by (cluster, namespace) (cortex_distributor_replication_factor{cluster=~\"$cluster\", job=~\"($namespace)/((.*distributor|cortex|mimir|mimir-write.*))\"})\n)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
"legendFormat": "appended exemplars",
|
"legendFormat": "appended exemplars",
|
||||||
|
@@ -161,7 +161,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "rate(go_gc_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])",
|
"expr": "rate(go_gc_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -256,7 +256,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "go_memstats_heap_inuse_bytes{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}",
|
"expr": "go_memstats_heap_inuse_bytes{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -351,7 +351,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "go_goroutines{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}",
|
"expr": "go_goroutines{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}",
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
@@ -441,7 +441,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "rate(container_cpu_usage_seconds_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$component.*\", container!=\"POD\"}[$__rate_interval])",
|
"expr": "rate(container_cpu_usage_seconds_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\".*$component.*\", container!=\"POD\"}[$__rate_interval])",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"intervalFactor": 5,
|
"intervalFactor": 5,
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
@@ -537,7 +537,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "container_memory_working_set_bytes{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$component.*\", container!=\"POD\"}",
|
"expr": "container_memory_working_set_bytes{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\".*$component.*\", container!=\"POD\"}",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -632,14 +632,14 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "rate(container_network_receive_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$component.*\"}[$__rate_interval])",
|
"expr": "rate(container_network_receive_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\".*$component.*\"}[$__rate_interval])",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "rx-{{pod}}",
|
"legendFormat": "rx-{{pod}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "rate(container_network_transmit_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\"$component.*\"}[$__rate_interval])",
|
"expr": "rate(container_network_transmit_bytes_total{cluster=\"$cluster\", namespace=\"$namespace\", pod=~\".*$component.*\"}[$__rate_interval])",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "tx-{{pod}}",
|
"legendFormat": "tx-{{pod}}",
|
||||||
@@ -735,7 +735,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "kubelet_volume_stats_available_bytes{cluster=\"$cluster\", namespace=\"$namespace\", persistentvolumeclaim=~\"$component.*\"}",
|
"expr": "kubelet_volume_stats_available_bytes{cluster=\"$cluster\", namespace=\"$namespace\", persistentvolumeclaim=~\".*$component.*\"}",
|
||||||
"legendFormat": "{{persistentvolumeclaim}}",
|
"legendFormat": "{{persistentvolumeclaim}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
@@ -829,7 +829,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "rate(promtail_custom_bad_words_total{cluster=\"$cluster\", exported_namespace=\"$namespace\", app=~\"$component.*\"}[$__rate_interval])",
|
"expr": "rate(promtail_custom_bad_words_total{cluster=\"$cluster\", exported_namespace=\"$namespace\", app=~\".*$component.*\"}[$__rate_interval])",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{exported_pod}}",
|
"legendFormat": "{{exported_pod}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -934,7 +934,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "tempodb_work_queue_length{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"} / tempodb_work_queue_max{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}",
|
"expr": "tempodb_work_queue_length{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"} / tempodb_work_queue_max{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}",
|
||||||
"legendFormat": "{{instance}}",
|
"legendFormat": "{{instance}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
}
|
}
|
||||||
@@ -1024,17 +1024,17 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(tempodb_compaction_errors_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (job)",
|
"expr": "sum(increase(tempodb_compaction_errors_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (job)",
|
||||||
"legendFormat": "compaction_err",
|
"legendFormat": "compaction_err",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(tempodb_retention_errors_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (job)",
|
"expr": "sum(increase(tempodb_retention_errors_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (job)",
|
||||||
"legendFormat": "retention_err",
|
"legendFormat": "retention_err",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(tempodb_blocklist_poll_errors_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (job)",
|
"expr": "sum(increase(tempodb_blocklist_poll_errors_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (job)",
|
||||||
"legendFormat": "blocklist_err",
|
"legendFormat": "blocklist_err",
|
||||||
"refId": "D"
|
"refId": "D"
|
||||||
}
|
}
|
||||||
@@ -1124,18 +1124,18 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempodb_blocklist_poll_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempodb_blocklist_poll_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempodb_blocklist_poll_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempodb_blocklist_poll_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (le))",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempodb_blocklist_poll_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempodb_blocklist_poll_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
@@ -1227,7 +1227,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "avg(tempodb_blocklist_length{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}) by (tenant)",
|
"expr": "avg(tempodb_blocklist_length{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}) by (tenant)",
|
||||||
"instant": false,
|
"instant": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{tenant}}",
|
"legendFormat": "{{tenant}}",
|
||||||
@@ -1319,19 +1319,19 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempodb_retention_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/compactor\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempodb_retention_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*compactor\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempodb_retention_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/compactor\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempodb_retention_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*compactor\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempodb_retention_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/compactor\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempodb_retention_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*compactor\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
@@ -1422,13 +1422,13 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(tempodb_retention_deleted_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval]))",
|
"expr": "sum(increase(tempodb_retention_deleted_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval]))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "deleted",
|
"legendFormat": "deleted",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(tempodb_retention_marked_for_deletion_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval]))",
|
"expr": "sum(increase(tempodb_retention_marked_for_deletion_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval]))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "marked_for_deletion",
|
"legendFormat": "marked_for_deletion",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
@@ -2049,7 +2049,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", route=~\".*api_traces_traceid\", job=\"$namespace/query-frontend\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", route=~\".*api_traces_traceid\", job=\"$namespace/.*query-frontend\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -2145,19 +2145,19 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
@@ -2253,7 +2253,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", route=~\".*api_search.*\", job=\"$namespace/query-frontend\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", route=~\".*api_search.*\", job=\"$namespace/.*query-frontend\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -2351,7 +2351,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A",
|
"refId": "A",
|
||||||
@@ -2359,7 +2359,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B",
|
"refId": "B",
|
||||||
@@ -2367,7 +2367,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C",
|
"refId": "C",
|
||||||
@@ -2463,7 +2463,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"querier_.*api_traces_traceid\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"querier_.*api_traces_traceid\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -2559,19 +2559,19 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_traces_traceid\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
@@ -2667,7 +2667,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"querier_.*api_search.*\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"querier_.*api_search.*\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -2765,7 +2765,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A",
|
"refId": "A",
|
||||||
@@ -2773,7 +2773,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B",
|
"refId": "B",
|
||||||
@@ -2781,7 +2781,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C",
|
"refId": "C",
|
||||||
@@ -2877,7 +2877,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{route=\"/tempopb.Querier/FindTraceByID\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{route=\"/tempopb.Querier/FindTraceByID\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -2973,19 +2973,19 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=\"/tempopb.Querier/FindTraceByID\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=\"/tempopb.Querier/FindTraceByID\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=\"/tempopb.Querier/FindTraceByID\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=\"/tempopb.Querier/FindTraceByID\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=\"/tempopb.Querier/FindTraceByID\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=\"/tempopb.Querier/FindTraceByID\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
@@ -3081,7 +3081,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"/tempopb.Querier/Search.*\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"/tempopb.Querier/Search.*\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -3179,7 +3179,7 @@
|
|||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=~\"/tempopb.Querier/Search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=~\"/tempopb.Querier/Search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A",
|
"refId": "A",
|
||||||
@@ -3187,7 +3187,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=~\"/tempopb.Querier/Search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=~\"/tempopb.Querier/Search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B",
|
"refId": "B",
|
||||||
@@ -3195,7 +3195,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=~\"/tempopb.Querier/Search.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=~\"/tempopb.Querier/Search.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C",
|
"refId": "C",
|
||||||
@@ -3527,7 +3527,7 @@
|
|||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", route=~\".*api_metrics.*\", job=\"$namespace/query-frontend\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", route=~\".*api_metrics.*\", job=\"$namespace/.*query-frontend\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -3632,7 +3632,7 @@
|
|||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_metrics.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_metrics.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -3646,7 +3646,7 @@
|
|||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_metrics.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_metrics.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -3660,7 +3660,7 @@
|
|||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"exemplar": true,
|
"exemplar": true,
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/query-frontend\", route=~\".*api_metrics.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*query-frontend\", route=~\".*api_metrics.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -3763,7 +3763,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"querier_.*api_metrics.*\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{route=~\"querier_.*api_metrics.*\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}} {{route}}",
|
"legendFormat": "{{status_code}} {{route}}",
|
||||||
@@ -3866,7 +3866,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_metrics.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_metrics.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -3878,7 +3878,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_metrics.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_metrics.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -3890,7 +3890,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/querier\", route=~\"querier_.*api_metrics.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*querier\", route=~\"querier_.*api_metrics.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -3992,7 +3992,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_count{route=\"/tempopb.MetricsGenerator/GetMetrics\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/metrics-generator\"}[$__rate_interval])) by (status_code)",
|
"expr": "sum(rate(tempo_request_duration_seconds_count{route=\"/tempopb.MetricsGenerator/GetMetrics\", cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*metrics-generator\"}[$__rate_interval])) by (status_code)",
|
||||||
"hide": false,
|
"hide": false,
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}",
|
"legendFormat": "{{status_code}}",
|
||||||
@@ -4095,7 +4095,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/metrics-generator\", route=\"/tempopb.MetricsGenerator/GetMetrics\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*metrics-generator\", route=\"/tempopb.MetricsGenerator/GetMetrics\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -4107,7 +4107,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/metrics-generator\", route=\"/tempopb.MetricsGenerator/GetMetrics\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*metrics-generator\", route=\"/tempopb.MetricsGenerator/GetMetrics\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -4119,7 +4119,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/metrics-generator\", route=\"/tempopb.MetricsGenerator/GetMetrics\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*metrics-generator\", route=\"/tempopb.MetricsGenerator/GetMetrics\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -4437,7 +4437,7 @@
|
|||||||
"pluginVersion": "9.0.0-d452322apre",
|
"pluginVersion": "9.0.0-d452322apre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(increase(tempo_ingester_blocks_flushed_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\"}[1h]))",
|
"expr": "sum(increase(tempo_ingester_blocks_flushed_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\"}[1h]))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{pod}}",
|
"legendFormat": "{{pod}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -5132,19 +5132,19 @@
|
|||||||
"pluginVersion": "9.0.0-d452322apre",
|
"pluginVersion": "9.0.0-d452322apre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
@@ -5359,7 +5359,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/metrics-generator\", route=~\"/tempopb.MetricsGenerator/PushSpans\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*metrics-generator\", route=~\"/tempopb.MetricsGenerator/PushSpans\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99",
|
"legendFormat": ".99",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -5371,7 +5371,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/metrics-generator\", route=~\"/tempopb.MetricsGenerator/PushSpans\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*metrics-generator\", route=~\"/tempopb.MetricsGenerator/PushSpans\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9",
|
"legendFormat": ".9",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -5383,7 +5383,7 @@
|
|||||||
"uid": "cortex-ops-01"
|
"uid": "cortex-ops-01"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/metrics-generator\", route=~\"/tempopb.MetricsGenerator/PushSpans\"}[$__rate_interval])) by (le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*metrics-generator\", route=~\"/tempopb.MetricsGenerator/PushSpans\"}[$__rate_interval])) by (le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5",
|
"legendFormat": ".5",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -5496,7 +5496,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_memcache_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (status_code, method)",
|
"expr": "sum(rate(tempo_memcache_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (status_code, method)",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}-{{method}}",
|
"legendFormat": "{{status_code}}-{{method}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -5590,19 +5590,19 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (method, le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (method, le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".99-{{method}}",
|
"legendFormat": ".99-{{method}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (method, le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (method, le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".9-{{method}}",
|
"legendFormat": ".9-{{method}}",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (method, le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (method, le))",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": ".5-{{method}}",
|
"legendFormat": ".5-{{method}}",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
@@ -5714,7 +5714,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempodb_backend_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (status_code, operation)",
|
"expr": "sum(rate(tempodb_backend_request_duration_seconds_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (status_code, operation)",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{status_code}}-{{operation}}",
|
"legendFormat": "{{status_code}}-{{operation}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -5808,17 +5808,17 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (operation, le))",
|
"expr": "histogram_quantile(.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (operation, le))",
|
||||||
"legendFormat": ".99-{{operation}}",
|
"legendFormat": ".99-{{operation}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.9, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (operation, le))",
|
"expr": "histogram_quantile(.9, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (operation, le))",
|
||||||
"legendFormat": ".9-{{operation}}",
|
"legendFormat": ".9-{{operation}}",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(.5, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}[$__rate_interval])) by (operation, le))",
|
"expr": "histogram_quantile(.5, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}[$__rate_interval])) by (operation, le))",
|
||||||
"legendFormat": ".5-{{operation}}",
|
"legendFormat": ".5-{{operation}}",
|
||||||
"refId": "C"
|
"refId": "C"
|
||||||
}
|
}
|
||||||
@@ -5934,7 +5934,7 @@
|
|||||||
"type": "prometheus",
|
"type": "prometheus",
|
||||||
"uid": "P666011C0B63BDCA4"
|
"uid": "P666011C0B63BDCA4"
|
||||||
},
|
},
|
||||||
"expr": "gauge_memberlist_health_score{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}",
|
"expr": "gauge_memberlist_health_score{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{instance}}",
|
"legendFormat": "{{instance}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -6028,7 +6028,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "tempo_memberlist_client_cluster_node_health_score{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"}",
|
"expr": "tempo_memberlist_client_cluster_node_health_score{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"}",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "{{instance}}",
|
"legendFormat": "{{instance}}",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -6122,13 +6122,13 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "min(tempo_memberlist_client_cluster_members_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"})",
|
"expr": "min(tempo_memberlist_client_cluster_members_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"})",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "min",
|
"legendFormat": "min",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "max(tempo_memberlist_client_cluster_members_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"})",
|
"expr": "max(tempo_memberlist_client_cluster_members_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"})",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "max",
|
"legendFormat": "max",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
@@ -6227,7 +6227,7 @@
|
|||||||
"type": "prometheus",
|
"type": "prometheus",
|
||||||
"uid": "P666011C0B63BDCA4"
|
"uid": "P666011C0B63BDCA4"
|
||||||
},
|
},
|
||||||
"expr": "min(tempo_memberlist_client_kv_store_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"})",
|
"expr": "min(tempo_memberlist_client_kv_store_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"})",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "min",
|
"legendFormat": "min",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -6237,7 +6237,7 @@
|
|||||||
"type": "prometheus",
|
"type": "prometheus",
|
||||||
"uid": "P666011C0B63BDCA4"
|
"uid": "P666011C0B63BDCA4"
|
||||||
},
|
},
|
||||||
"expr": "max(tempo_memberlist_client_kv_store_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/$component\"})",
|
"expr": "max(tempo_memberlist_client_kv_store_count{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*$component\"})",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "max",
|
"legendFormat": "max",
|
||||||
"refId": "B"
|
"refId": "B"
|
||||||
@@ -6516,7 +6516,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempodb_compaction_objects_combined_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/compactor\"}[$__rate_interval])) by (level)",
|
"expr": "sum(rate(tempodb_compaction_objects_combined_total{cluster=\"$cluster\", namespace=\"$namespace\", job=~\"$namespace/.*compactor\"}[$__rate_interval])) by (level)",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -6608,7 +6608,7 @@
|
|||||||
"pluginVersion": "9.0.0-d373beebpre",
|
"pluginVersion": "9.0.0-d373beebpre",
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempodb_compaction_objects_written_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/compactor\"}[$__rate_interval])) by (level)",
|
"expr": "sum(rate(tempodb_compaction_objects_written_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*compactor\"}[$__rate_interval])) by (level)",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "",
|
"legendFormat": "",
|
||||||
"refId": "A"
|
"refId": "A"
|
||||||
@@ -6701,7 +6701,7 @@
|
|||||||
"uid": "P666011C0B63BDCA4"
|
"uid": "P666011C0B63BDCA4"
|
||||||
},
|
},
|
||||||
"editorMode": "builder",
|
"editorMode": "builder",
|
||||||
"expr": "sum(rate(tempodb_compaction_bytes_written_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/compactor\"}[$__rate_interval])) by (level)",
|
"expr": "sum(rate(tempodb_compaction_bytes_written_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*compactor\"}[$__rate_interval])) by (level)",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "__auto",
|
"legendFormat": "__auto",
|
||||||
"range": true,
|
"range": true,
|
||||||
@@ -6795,7 +6795,7 @@
|
|||||||
"uid": "P666011C0B63BDCA4"
|
"uid": "P666011C0B63BDCA4"
|
||||||
},
|
},
|
||||||
"editorMode": "code",
|
"editorMode": "code",
|
||||||
"expr": "sum(increase(tempodb_compaction_blocks_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/compactor\"}[5m])) by (level)",
|
"expr": "sum(increase(tempodb_compaction_blocks_total{cluster=\"$cluster\", namespace=\"$namespace\", job=\"$namespace/.*compactor\"}[5m])) by (level)",
|
||||||
"interval": "",
|
"interval": "",
|
||||||
"legendFormat": "__auto",
|
"legendFormat": "__auto",
|
||||||
"range": true,
|
"range": true,
|
||||||
|
@@ -282,7 +282,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\", route=~\"api_.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\", route=~\"api_.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -369,7 +369,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\",route=~\"api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\",route=~\"api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -378,7 +378,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\",route=~\"api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\",route=~\"api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -387,7 +387,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\",route=~\"api_.*\"}[$__interval])) by (route) * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\",route=~\"api_.*\"}[$__interval])) by (route)",
|
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\",route=~\"api_.*\"}[$__interval])) by (route) * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\",route=~\"api_.*\"}[$__interval])) by (route)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -492,7 +492,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\", route=~\"querier_api_.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\", route=~\"querier_api_.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -579,7 +579,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\",route=~\"querier_api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",route=~\"querier_api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -588,7 +588,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\",route=~\"querier_api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",route=~\"querier_api_.*\"}[$__interval])) by (le,route)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -597,7 +597,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/querier\",route=~\"querier_api_.*\"}[$__interval])) by (route) * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\",route=~\"querier_api_.*\"}[$__interval])) by (route)",
|
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",route=~\"querier_api_.*\"}[$__interval])) by (route) * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",route=~\"querier_api_.*\"}[$__interval])) by (route)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -702,7 +702,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_querier_external_endpoint_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_querier_external_endpoint_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -789,7 +789,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_querier_external_endpoint_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\"}[$__interval])) by (le,endpoint)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_querier_external_endpoint_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\"}[$__interval])) by (le,endpoint)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -798,7 +798,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_querier_external_endpoint_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\"}[$__interval])) by (le,endpoint)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_querier_external_endpoint_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\"}[$__interval])) by (le,endpoint)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -807,7 +807,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_querier_external_endpoint_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/querier\"}[$__interval])) by (endpoint) * 1e3 / sum(rate(tempo_querier_external_endpoint_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\"}[$__interval])) by (endpoint)",
|
"expr": "sum(rate(tempo_querier_external_endpoint_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\"}[$__interval])) by (endpoint) * 1e3 / sum(rate(tempo_querier_external_endpoint_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\"}[$__interval])) by (endpoint)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -912,7 +912,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\", route=~\"/tempopb.Querier/.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\", route=~\"/tempopb.Querier/.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -999,7 +999,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (le,route)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (le,route)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1008,7 +1008,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (le,route)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (le,route)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1017,7 +1017,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (route) * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (route)",
|
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (route) * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Querier/.*\"}[$__interval])) by (route)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1122,7 +1122,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1209,7 +1209,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1218,7 +1218,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1227,7 +1227,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_memcache_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by () * 1e3 / sum(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempo_memcache_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by () * 1e3 / sum(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",method=~\"Memcache.Get|Memcache.GetMulti\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1332,7 +1332,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\",operation=\"GET\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",operation=\"GET\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1419,7 +1419,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\",operation=\"GET\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",operation=\"GET\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1428,7 +1428,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/querier\",operation=\"GET\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",operation=\"GET\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1437,7 +1437,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempodb_backend_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/querier\",operation=\"GET\"}[$__interval])) by () * 1e3 / sum(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/querier\",operation=\"GET\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempodb_backend_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",operation=\"GET\"}[$__interval])) by () * 1e3 / sum(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\",operation=\"GET\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
|
@@ -621,7 +621,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/distributor\"})",
|
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -948,7 +948,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/ingester\"})",
|
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1275,7 +1275,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/metrics-generator\"})",
|
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/.*metrics-generator\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1602,7 +1602,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\"})",
|
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1929,7 +1929,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/querier\"})",
|
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/.*querier\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -2256,7 +2256,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/compactor\"})",
|
"expr": "sum by(instance) (go_memstats_heap_inuse_bytes{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
|
@@ -89,7 +89,7 @@
|
|||||||
],
|
],
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",user=\"$tenant\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/compactor\"})\n) by (limit_name)\n",
|
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",user=\"$tenant\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\"})\n) by (limit_name)\n",
|
||||||
"format": "table",
|
"format": "table",
|
||||||
"instant": true,
|
"instant": true,
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -198,7 +198,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_distributor_bytes_received_total{cluster=~\"$cluster\", job=~\"($namespace)/distributor\",tenant=\"$tenant\"}[$__rate_interval]))",
|
"expr": "sum(rate(tempo_distributor_bytes_received_total{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\",tenant=\"$tenant\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -207,7 +207,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",user=\"$tenant\",limit_name=\"ingestion_rate_limit_bytes\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",limit_name=\"ingestion_rate_limit_bytes\"})\n) by (ingestion_rate_limit_bytes)\n",
|
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",user=\"$tenant\",limit_name=\"ingestion_rate_limit_bytes\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",limit_name=\"ingestion_rate_limit_bytes\"})\n) by (ingestion_rate_limit_bytes)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -216,7 +216,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",user=\"$tenant\",limit_name=\"ingestion_burst_size_bytes\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",limit_name=\"ingestion_burst_size_bytes\"})\n) by (ingestion_burst_size_bytes)\n",
|
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",user=\"$tenant\",limit_name=\"ingestion_burst_size_bytes\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",limit_name=\"ingestion_burst_size_bytes\"})\n) by (ingestion_burst_size_bytes)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -303,7 +303,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_distributor_spans_received_total{cluster=~\"$cluster\", job=~\"($namespace)/distributor\",tenant=\"$tenant\"}[$__rate_interval]))",
|
"expr": "sum(rate(tempo_distributor_spans_received_total{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\",tenant=\"$tenant\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -312,7 +312,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_discarded_spans_total{cluster=~\"$cluster\", job=~\"($namespace)/distributor\",tenant=\"$tenant\"}[$__rate_interval])) by (reason)",
|
"expr": "sum(rate(tempo_discarded_spans_total{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\",tenant=\"$tenant\"}[$__rate_interval])) by (reason)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -408,7 +408,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "max(tempo_ingester_live_traces{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",tenant=\"$tenant\"})",
|
"expr": "max(tempo_ingester_live_traces{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",tenant=\"$tenant\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -417,7 +417,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",user=\"$tenant\",limit_name=\"max_global_traces_per_user\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",limit_name=\"max_global_traces_per_user\"})\n) by (max_global_traces_per_user)\n",
|
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",user=\"$tenant\",limit_name=\"max_global_traces_per_user\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",limit_name=\"max_global_traces_per_user\"})\n) by (max_global_traces_per_user)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -426,7 +426,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",user=\"$tenant\",limit_name=\"max_local_traces_per_user\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",limit_name=\"max_local_traces_per_user\"})\n) by (max_local_traces_per_user)\n",
|
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",user=\"$tenant\",limit_name=\"max_local_traces_per_user\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",limit_name=\"max_local_traces_per_user\"})\n) by (max_local_traces_per_user)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -525,7 +525,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_query_frontend_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\",tenant=\"$tenant\",op=\"traces\"}[$__rate_interval])) by (status)",
|
"expr": "sum(rate(tempo_query_frontend_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\",tenant=\"$tenant\",op=\"traces\"}[$__rate_interval])) by (status)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -612,7 +612,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_query_frontend_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/query-frontend\",tenant=\"$tenant\",op=\"search\"}[$__rate_interval])) by (status)",
|
"expr": "sum(rate(tempo_query_frontend_queries_total{cluster=~\"$cluster\", job=~\"($namespace)/.*query-frontend\",tenant=\"$tenant\",op=\"search\"}[$__rate_interval])) by (status)",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -705,7 +705,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "avg(tempodb_blocklist_length{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",tenant=\"$tenant\"})",
|
"expr": "avg(tempodb_blocklist_length{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",tenant=\"$tenant\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -786,7 +786,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(tempodb_compaction_outstanding_blocks{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",tenant=\"$tenant\"})\n/\ncount(tempo_build_info{cluster=~\"$cluster\", job=~\"($namespace)/compactor\"})\n",
|
"expr": "sum(tempodb_compaction_outstanding_blocks{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",tenant=\"$tenant\"})\n/\ncount(tempo_build_info{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\"})\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -879,7 +879,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_metrics_generator_bytes_received_total{cluster=~\"$cluster\", job=~\"($namespace)/metrics-generator\",tenant=\"$tenant\"}[$__rate_interval]))",
|
"expr": "sum(rate(tempo_metrics_generator_bytes_received_total{cluster=~\"$cluster\", job=~\"($namespace)/.*metrics-generator\",tenant=\"$tenant\"}[$__rate_interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -970,7 +970,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(tempo_metrics_generator_registry_active_series{cluster=~\"$cluster\", job=~\"($namespace)/metrics-generator\",tenant=\"$tenant\"})",
|
"expr": "sum(tempo_metrics_generator_registry_active_series{cluster=~\"$cluster\", job=~\"($namespace)/.*metrics-generator\",tenant=\"$tenant\"})",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -979,7 +979,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",user=\"$tenant\",limit_name=\"metrics_generator_max_active_series\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",limit_name=\"metrics_generator_max_active_series\"})\n) by (metrics_generator_max_active_series)\n",
|
"expr": "max(\n max by (cluster, namespace, limit_name) (tempo_limits_overrides{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",user=\"$tenant\",limit_name=\"metrics_generator_max_active_series\"})\n or max by (cluster, namespace, limit_name) (tempo_limits_defaults{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",limit_name=\"metrics_generator_max_active_series\"})\n) by (metrics_generator_max_active_series)\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1131,7 +1131,7 @@
|
|||||||
"options": [
|
"options": [
|
||||||
|
|
||||||
],
|
],
|
||||||
"query": "label_values(tempodb_blocklist_length{cluster=~\"$cluster\", job=~\"($namespace)/compactor\"}, tenant)",
|
"query": "label_values(tempodb_blocklist_length{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\"}, tenant)",
|
||||||
"refresh": 1,
|
"refresh": 1,
|
||||||
"regex": "",
|
"regex": "",
|
||||||
"sort": 2,
|
"sort": 2,
|
||||||
|
@@ -399,7 +399,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_receiver_accepted_spans{cluster=~\"$cluster\", job=~\"($namespace)/distributor\"}[$__interval]))",
|
"expr": "sum(rate(tempo_receiver_accepted_spans{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\"}[$__interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -408,7 +408,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_receiver_refused_spans{cluster=~\"$cluster\", job=~\"($namespace)/distributor\"}[$__interval]))",
|
"expr": "sum(rate(tempo_receiver_refused_spans{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\"}[$__interval]))",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -495,7 +495,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_distributor_push_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/distributor\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_distributor_push_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -504,7 +504,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_distributor_push_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/distributor\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_distributor_push_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -513,7 +513,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_distributor_push_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/distributor\"}[$__interval])) by () * 1e3 / sum(rate(tempo_distributor_push_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/distributor\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempo_distributor_push_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\"}[$__interval])) by () * 1e3 / sum(rate(tempo_distributor_push_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*distributor\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -618,7 +618,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\", route=~\"/tempopb.Pusher/Push.*\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -705,7 +705,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -714,7 +714,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -723,7 +723,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by () * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempo_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by () * 1e3 / sum(rate(tempo_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",route=~\"/tempopb.Pusher/Push.*\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -828,7 +828,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",method=\"Memcache.Put\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",method=\"Memcache.Put\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -915,7 +915,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -924,7 +924,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -933,7 +933,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_memcache_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",method=\"Memcache.Put\"}[$__interval])) by () * 1e3 / sum(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",method=\"Memcache.Put\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempo_memcache_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",method=\"Memcache.Put\"}[$__interval])) by () * 1e3 / sum(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",method=\"Memcache.Put\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1038,7 +1038,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",operation=~\"(PUT|POST)\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",operation=~\"(PUT|POST)\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1125,7 +1125,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1134,7 +1134,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1143,7 +1143,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempodb_backend_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by () * 1e3 / sum(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempodb_backend_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by () * 1e3 / sum(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*ingester\",operation=~\"(PUT|POST)\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1248,7 +1248,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",method=\"Memcache.Put\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",method=\"Memcache.Put\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1335,7 +1335,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1344,7 +1344,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempo_memcache_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",method=\"Memcache.Put\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1353,7 +1353,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempo_memcache_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",method=\"Memcache.Put\"}[$__interval])) by () * 1e3 / sum(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",method=\"Memcache.Put\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempo_memcache_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",method=\"Memcache.Put\"}[$__interval])) by () * 1e3 / sum(rate(tempo_memcache_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",method=\"Memcache.Put\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1458,7 +1458,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",operation=~\"(PUT|POST)\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
"expr": "sum by (status) (\n label_replace(label_replace(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",operation=~\"(PUT|POST)\"}[$__rate_interval]),\n \"status\", \"${1}xx\", \"status_code\", \"([0-9])..\"),\n \"status\", \"${1}\", \"status_code\", \"([a-z]+)\"))\n",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1545,7 +1545,7 @@
|
|||||||
"steppedLine": false,
|
"steppedLine": false,
|
||||||
"targets": [
|
"targets": [
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.99, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1554,7 +1554,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "histogram_quantile(0.50, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
"expr": "histogram_quantile(0.50, sum(rate(tempodb_backend_request_duration_seconds_bucket{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by (le,)) * 1e3",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
@@ -1563,7 +1563,7 @@
|
|||||||
"step": 10
|
"step": 10
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"expr": "sum(rate(tempodb_backend_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by () * 1e3 / sum(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by ()",
|
"expr": "sum(rate(tempodb_backend_request_duration_seconds_sum{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by () * 1e3 / sum(rate(tempodb_backend_request_duration_seconds_count{cluster=~\"$cluster\", job=~\"($namespace)/.*compactor\",operation=~\"(PUT|POST)\"}[$__interval])) by ()",
|
||||||
"format": "time_series",
|
"format": "time_series",
|
||||||
"interval": "1m",
|
"interval": "1m",
|
||||||
"intervalFactor": 2,
|
"intervalFactor": 2,
|
||||||
|
@@ -1,53 +1,52 @@
|
|||||||
groups:
|
- name: "loki_rules"
|
||||||
- name: loki_rules
|
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(loki_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(loki_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:loki_request_duration_seconds:99quantile
|
record: "cluster_job:loki_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(loki_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(loki_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:loki_request_duration_seconds:50quantile
|
record: "cluster_job:loki_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_sum[1m])) by (cluster, job) / sum(rate(loki_request_duration_seconds_count[1m]))
|
- expr: "sum(rate(loki_request_duration_seconds_sum[5m])) by (cluster, job) / sum(rate(loki_request_duration_seconds_count[5m]))
|
||||||
by (cluster, job)
|
by (cluster, job)"
|
||||||
record: cluster_job:loki_request_duration_seconds:avg
|
record: "cluster_job:loki_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_bucket[1m])) by (le, cluster, job)
|
- expr: "sum(rate(loki_request_duration_seconds_bucket[5m])) by (le, cluster, job)"
|
||||||
record: cluster_job:loki_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job:loki_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(loki_request_duration_seconds_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:loki_request_duration_seconds_sum:sum_rate
|
record: "cluster_job:loki_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_count[1m])) by (cluster, job)
|
- expr: "sum(rate(loki_request_duration_seconds_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:loki_request_duration_seconds_count:sum_rate
|
record: "cluster_job:loki_request_duration_seconds_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(loki_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(loki_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, route))
|
by (le, cluster, job, route))"
|
||||||
record: cluster_job_route:loki_request_duration_seconds:99quantile
|
record: "cluster_job_route:loki_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(loki_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(loki_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, route))
|
by (le, cluster, job, route))"
|
||||||
record: cluster_job_route:loki_request_duration_seconds:50quantile
|
record: "cluster_job_route:loki_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_sum[1m])) by (cluster, job, route)
|
- expr: "sum(rate(loki_request_duration_seconds_sum[5m])) by (cluster, job, route)
|
||||||
/ sum(rate(loki_request_duration_seconds_count[1m])) by (cluster, job, route)
|
/ sum(rate(loki_request_duration_seconds_count[5m])) by (cluster, job, route)"
|
||||||
record: cluster_job_route:loki_request_duration_seconds:avg
|
record: "cluster_job_route:loki_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_bucket[1m])) by (le, cluster, job,
|
- expr: "sum(rate(loki_request_duration_seconds_bucket[5m])) by (le, cluster, job,
|
||||||
route)
|
route)"
|
||||||
record: cluster_job_route:loki_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job_route:loki_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_sum[1m])) by (cluster, job, route)
|
- expr: "sum(rate(loki_request_duration_seconds_sum[5m])) by (cluster, job, route)"
|
||||||
record: cluster_job_route:loki_request_duration_seconds_sum:sum_rate
|
record: "cluster_job_route:loki_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_count[1m])) by (cluster, job, route)
|
- expr: "sum(rate(loki_request_duration_seconds_count[5m])) by (cluster, job, route)"
|
||||||
record: cluster_job_route:loki_request_duration_seconds_count:sum_rate
|
record: "cluster_job_route:loki_request_duration_seconds_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(loki_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(loki_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, namespace, job, route))
|
by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:loki_request_duration_seconds:99quantile
|
record: "cluster_namespace_job_route:loki_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(loki_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(loki_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, namespace, job, route))
|
by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:loki_request_duration_seconds:50quantile
|
record: "cluster_namespace_job_route:loki_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_sum[1m])) by (cluster, namespace,
|
- expr: "sum(rate(loki_request_duration_seconds_sum[5m])) by (cluster, namespace,
|
||||||
job, route) / sum(rate(loki_request_duration_seconds_count[1m])) by (cluster,
|
job, route) / sum(rate(loki_request_duration_seconds_count[5m])) by (cluster,
|
||||||
namespace, job, route)
|
namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:loki_request_duration_seconds:avg
|
record: "cluster_namespace_job_route:loki_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_bucket[1m])) by (le, cluster, namespace,
|
- expr: "sum(rate(loki_request_duration_seconds_bucket[5m])) by (le, cluster, namespace,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_namespace_job_route:loki_request_duration_seconds_bucket:sum_rate
|
record: "cluster_namespace_job_route:loki_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_sum[1m])) by (cluster, namespace,
|
- expr: "sum(rate(loki_request_duration_seconds_sum[5m])) by (cluster, namespace,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_namespace_job_route:loki_request_duration_seconds_sum:sum_rate
|
record: "cluster_namespace_job_route:loki_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(loki_request_duration_seconds_count[1m])) by (cluster, namespace,
|
- expr: "sum(rate(loki_request_duration_seconds_count[5m])) by (cluster, namespace,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_namespace_job_route:loki_request_duration_seconds_count:sum_rate
|
record: "cluster_namespace_job_route:loki_request_duration_seconds_count:sum_rate"
|
@@ -1,304 +1,299 @@
|
|||||||
groups:
|
groups:
|
||||||
- name: mimir_api_1
|
- name: "mimir_api_1"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_request_duration_seconds:99quantile
|
record: "cluster_job:cortex_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_request_duration_seconds:50quantile
|
record: "cluster_job:cortex_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_sum[1m])) by (cluster, job) / sum(rate(cortex_request_duration_seconds_count[1m]))
|
- expr: "sum(rate(cortex_request_duration_seconds_sum[5m])) by (cluster, job) / sum(rate(cortex_request_duration_seconds_count[5m]))
|
||||||
by (cluster, job)
|
by (cluster, job)"
|
||||||
record: cluster_job:cortex_request_duration_seconds:avg
|
record: "cluster_job:cortex_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_bucket[1m])) by (le, cluster, job)
|
- expr: "sum(rate(cortex_request_duration_seconds_bucket[5m])) by (le, cluster, job)"
|
||||||
record: cluster_job:cortex_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job:cortex_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_request_duration_seconds_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_request_duration_seconds_sum:sum_rate
|
record: "cluster_job:cortex_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_count[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_request_duration_seconds_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_request_duration_seconds_count:sum_rate
|
record: "cluster_job:cortex_request_duration_seconds_count:sum_rate"
|
||||||
- name: mimir_api_2
|
- name: "mimir_api_2"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, route))
|
by (le, cluster, job, route))"
|
||||||
record: cluster_job_route:cortex_request_duration_seconds:99quantile
|
record: "cluster_job_route:cortex_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, route))
|
by (le, cluster, job, route))"
|
||||||
record: cluster_job_route:cortex_request_duration_seconds:50quantile
|
record: "cluster_job_route:cortex_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_sum[1m])) by (cluster, job, route)
|
- expr: "sum(rate(cortex_request_duration_seconds_sum[5m])) by (cluster, job, route)
|
||||||
/ sum(rate(cortex_request_duration_seconds_count[1m])) by (cluster, job, route)
|
/ sum(rate(cortex_request_duration_seconds_count[5m])) by (cluster, job, route)"
|
||||||
record: cluster_job_route:cortex_request_duration_seconds:avg
|
record: "cluster_job_route:cortex_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_bucket[1m])) by (le, cluster, job,
|
- expr: "sum(rate(cortex_request_duration_seconds_bucket[5m])) by (le, cluster, job,
|
||||||
route)
|
route)"
|
||||||
record: cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job_route:cortex_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_sum[1m])) by (cluster, job, route)
|
- expr: "sum(rate(cortex_request_duration_seconds_sum[5m])) by (cluster, job, route)"
|
||||||
record: cluster_job_route:cortex_request_duration_seconds_sum:sum_rate
|
record: "cluster_job_route:cortex_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_count[1m])) by (cluster, job, route)
|
- expr: "sum(rate(cortex_request_duration_seconds_count[5m])) by (cluster, job, route)"
|
||||||
record: cluster_job_route:cortex_request_duration_seconds_count:sum_rate
|
record: "cluster_job_route:cortex_request_duration_seconds_count:sum_rate"
|
||||||
- name: mimir_api_3
|
- name: "mimir_api_3"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, namespace, job, route))
|
by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:cortex_request_duration_seconds:99quantile
|
record: "cluster_namespace_job_route:cortex_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, namespace, job, route))
|
by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:cortex_request_duration_seconds:50quantile
|
record: "cluster_namespace_job_route:cortex_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_sum[1m])) by (cluster, namespace,
|
- expr: "sum(rate(cortex_request_duration_seconds_sum[5m])) by (cluster, namespace,
|
||||||
job, route) / sum(rate(cortex_request_duration_seconds_count[1m])) by (cluster,
|
job, route) / sum(rate(cortex_request_duration_seconds_count[5m])) by (cluster,
|
||||||
namespace, job, route)
|
namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_request_duration_seconds:avg
|
record: "cluster_namespace_job_route:cortex_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_bucket[1m])) by (le, cluster, namespace,
|
- expr: "sum(rate(cortex_request_duration_seconds_bucket[5m])) by (le, cluster, namespace,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_request_duration_seconds_bucket:sum_rate
|
record: "cluster_namespace_job_route:cortex_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_sum[1m])) by (cluster, namespace,
|
- expr: "sum(rate(cortex_request_duration_seconds_sum[5m])) by (cluster, namespace,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_request_duration_seconds_sum:sum_rate
|
record: "cluster_namespace_job_route:cortex_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_request_duration_seconds_count[1m])) by (cluster, namespace,
|
- expr: "sum(rate(cortex_request_duration_seconds_count[5m])) by (cluster, namespace,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_request_duration_seconds_count:sum_rate
|
record: "cluster_namespace_job_route:cortex_request_duration_seconds_count:sum_rate"
|
||||||
- name: mimir_querier_api
|
- name: "mimir_querier_api"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_querier_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_querier_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_querier_request_duration_seconds:99quantile
|
record: "cluster_job:cortex_querier_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_querier_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_querier_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_querier_request_duration_seconds:50quantile
|
record: "cluster_job:cortex_querier_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
job) / sum(rate(cortex_querier_request_duration_seconds_count[1m])) by (cluster,
|
job) / sum(rate(cortex_querier_request_duration_seconds_count[5m])) by (cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_querier_request_duration_seconds:avg
|
record: "cluster_job:cortex_querier_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_bucket[5m])) by (le, cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_querier_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job:cortex_querier_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_querier_request_duration_seconds_sum:sum_rate
|
record: "cluster_job:cortex_querier_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_count[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_count[5m])) by (cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_querier_request_duration_seconds_count:sum_rate
|
record: "cluster_job:cortex_querier_request_duration_seconds_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_querier_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_querier_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, route))
|
by (le, cluster, job, route))"
|
||||||
record: cluster_job_route:cortex_querier_request_duration_seconds:99quantile
|
record: "cluster_job_route:cortex_querier_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_querier_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_querier_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, route))
|
by (le, cluster, job, route))"
|
||||||
record: cluster_job_route:cortex_querier_request_duration_seconds:50quantile
|
record: "cluster_job_route:cortex_querier_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
job, route) / sum(rate(cortex_querier_request_duration_seconds_count[1m])) by
|
job, route) / sum(rate(cortex_querier_request_duration_seconds_count[5m])) by
|
||||||
(cluster, job, route)
|
(cluster, job, route)"
|
||||||
record: cluster_job_route:cortex_querier_request_duration_seconds:avg
|
record: "cluster_job_route:cortex_querier_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_bucket[5m])) by (le, cluster,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_job_route:cortex_querier_request_duration_seconds_sum:sum_rate
|
record: "cluster_job_route:cortex_querier_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_count[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_count[5m])) by (cluster,
|
||||||
job, route)
|
job, route)"
|
||||||
record: cluster_job_route:cortex_querier_request_duration_seconds_count:sum_rate
|
record: "cluster_job_route:cortex_querier_request_duration_seconds_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_querier_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_querier_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, namespace, job, route))
|
by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:cortex_querier_request_duration_seconds:99quantile
|
record: "cluster_namespace_job_route:cortex_querier_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_querier_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_querier_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, namespace, job, route))
|
by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:cortex_querier_request_duration_seconds:50quantile
|
record: "cluster_namespace_job_route:cortex_querier_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
namespace, job, route) / sum(rate(cortex_querier_request_duration_seconds_count[1m]))
|
namespace, job, route) / sum(rate(cortex_querier_request_duration_seconds_count[5m]))
|
||||||
by (cluster, namespace, job, route)
|
by (cluster, namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_querier_request_duration_seconds:avg
|
record: "cluster_namespace_job_route:cortex_querier_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_bucket[5m])) by (le, cluster,
|
||||||
namespace, job, route)
|
namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate
|
record: "cluster_namespace_job_route:cortex_querier_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
namespace, job, route)
|
namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_querier_request_duration_seconds_sum:sum_rate
|
record: "cluster_namespace_job_route:cortex_querier_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_querier_request_duration_seconds_count[1m])) by (cluster,
|
- expr: "sum(rate(cortex_querier_request_duration_seconds_count[5m])) by (cluster,
|
||||||
namespace, job, route)
|
namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:cortex_querier_request_duration_seconds_count:sum_rate
|
record: "cluster_namespace_job_route:cortex_querier_request_duration_seconds_count:sum_rate"
|
||||||
- name: mimir_cache
|
- name: "mimir_cache"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_memcache_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_memcache_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, method))
|
by (le, cluster, job, method))"
|
||||||
record: cluster_job_method:cortex_memcache_request_duration_seconds:99quantile
|
record: "cluster_job_method:cortex_memcache_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_memcache_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_memcache_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, method))
|
by (le, cluster, job, method))"
|
||||||
record: cluster_job_method:cortex_memcache_request_duration_seconds:50quantile
|
record: "cluster_job_method:cortex_memcache_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_memcache_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_memcache_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
job, method) / sum(rate(cortex_memcache_request_duration_seconds_count[1m]))
|
job, method) / sum(rate(cortex_memcache_request_duration_seconds_count[5m]))
|
||||||
by (cluster, job, method)
|
by (cluster, job, method)"
|
||||||
record: cluster_job_method:cortex_memcache_request_duration_seconds:avg
|
record: "cluster_job_method:cortex_memcache_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_memcache_request_duration_seconds_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_memcache_request_duration_seconds_bucket[5m])) by (le, cluster,
|
||||||
job, method)
|
job, method)"
|
||||||
record: cluster_job_method:cortex_memcache_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job_method:cortex_memcache_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_memcache_request_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_memcache_request_duration_seconds_sum[5m])) by (cluster,
|
||||||
job, method)
|
job, method)"
|
||||||
record: cluster_job_method:cortex_memcache_request_duration_seconds_sum:sum_rate
|
record: "cluster_job_method:cortex_memcache_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_memcache_request_duration_seconds_count[1m])) by (cluster,
|
- expr: "sum(rate(cortex_memcache_request_duration_seconds_count[5m])) by (cluster,
|
||||||
job, method)
|
job, method)"
|
||||||
record: cluster_job_method:cortex_memcache_request_duration_seconds_count:sum_rate
|
record: "cluster_job_method:cortex_memcache_request_duration_seconds_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_cache_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_cache_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_cache_request_duration_seconds:99quantile
|
record: "cluster_job:cortex_cache_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_cache_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_cache_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_cache_request_duration_seconds:50quantile
|
record: "cluster_job:cortex_cache_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_sum[5m])) by (cluster, job)
|
||||||
/ sum(rate(cortex_cache_request_duration_seconds_count[1m])) by (cluster, job)
|
/ sum(rate(cortex_cache_request_duration_seconds_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_cache_request_duration_seconds:avg
|
record: "cluster_job:cortex_cache_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_bucket[5m])) by (le, cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_cache_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job:cortex_cache_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_cache_request_duration_seconds_sum:sum_rate
|
record: "cluster_job:cortex_cache_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_count[1m])) by (cluster,
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_count[5m])) by (cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_cache_request_duration_seconds_count:sum_rate
|
record: "cluster_job:cortex_cache_request_duration_seconds_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_cache_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_cache_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, method))
|
by (le, cluster, job, method))"
|
||||||
record: cluster_job_method:cortex_cache_request_duration_seconds:99quantile
|
record: "cluster_job_method:cortex_cache_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_cache_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_cache_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job, method))
|
by (le, cluster, job, method))"
|
||||||
record: cluster_job_method:cortex_cache_request_duration_seconds:50quantile
|
record: "cluster_job_method:cortex_cache_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_sum[1m])) by (cluster, job,
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_sum[5m])) by (cluster, job,
|
||||||
method) / sum(rate(cortex_cache_request_duration_seconds_count[1m])) by (cluster,
|
method) / sum(rate(cortex_cache_request_duration_seconds_count[5m])) by (cluster,
|
||||||
job, method)
|
job, method)"
|
||||||
record: cluster_job_method:cortex_cache_request_duration_seconds:avg
|
record: "cluster_job_method:cortex_cache_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_bucket[5m])) by (le, cluster,
|
||||||
job, method)
|
job, method)"
|
||||||
record: cluster_job_method:cortex_cache_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job_method:cortex_cache_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_sum[1m])) by (cluster, job,
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_sum[5m])) by (cluster, job,
|
||||||
method)
|
method)"
|
||||||
record: cluster_job_method:cortex_cache_request_duration_seconds_sum:sum_rate
|
record: "cluster_job_method:cortex_cache_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_cache_request_duration_seconds_count[1m])) by (cluster,
|
- expr: "sum(rate(cortex_cache_request_duration_seconds_count[5m])) by (cluster,
|
||||||
job, method)
|
job, method)"
|
||||||
record: cluster_job_method:cortex_cache_request_duration_seconds_count:sum_rate
|
record: "cluster_job_method:cortex_cache_request_duration_seconds_count:sum_rate"
|
||||||
- name: mimir_storage
|
- name: "mimir_storage"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_kv_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_kv_request_duration_seconds:99quantile
|
record: "cluster_job:cortex_kv_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_kv_request_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_kv_request_duration_seconds:50quantile
|
record: "cluster_job:cortex_kv_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_kv_request_duration_seconds_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_kv_request_duration_seconds_sum[5m])) by (cluster, job)
|
||||||
/ sum(rate(cortex_kv_request_duration_seconds_count[1m])) by (cluster, job)
|
/ sum(rate(cortex_kv_request_duration_seconds_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_kv_request_duration_seconds:avg
|
record: "cluster_job:cortex_kv_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_kv_request_duration_seconds_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_kv_request_duration_seconds_bucket[5m])) by (le, cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_kv_request_duration_seconds_bucket:sum_rate
|
record: "cluster_job:cortex_kv_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_kv_request_duration_seconds_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_kv_request_duration_seconds_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_kv_request_duration_seconds_sum:sum_rate
|
record: "cluster_job:cortex_kv_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_kv_request_duration_seconds_count[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_kv_request_duration_seconds_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_kv_request_duration_seconds_count:sum_rate
|
record: "cluster_job:cortex_kv_request_duration_seconds_count:sum_rate"
|
||||||
- name: mimir_queries
|
- name: "mimir_queries"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_query_frontend_retries_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_query_frontend_retries_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_query_frontend_retries:99quantile
|
record: "cluster_job:cortex_query_frontend_retries:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_query_frontend_retries_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_query_frontend_retries_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_query_frontend_retries:50quantile
|
record: "cluster_job:cortex_query_frontend_retries:50quantile"
|
||||||
- expr: sum(rate(cortex_query_frontend_retries_sum[1m])) by (cluster, job) / sum(rate(cortex_query_frontend_retries_count[1m]))
|
- expr: "sum(rate(cortex_query_frontend_retries_sum[5m])) by (cluster, job) / sum(rate(cortex_query_frontend_retries_count[5m]))
|
||||||
by (cluster, job)
|
by (cluster, job)"
|
||||||
record: cluster_job:cortex_query_frontend_retries:avg
|
record: "cluster_job:cortex_query_frontend_retries:avg"
|
||||||
- expr: sum(rate(cortex_query_frontend_retries_bucket[1m])) by (le, cluster, job)
|
- expr: "sum(rate(cortex_query_frontend_retries_bucket[5m])) by (le, cluster, job)"
|
||||||
record: cluster_job:cortex_query_frontend_retries_bucket:sum_rate
|
record: "cluster_job:cortex_query_frontend_retries_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_query_frontend_retries_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_query_frontend_retries_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_query_frontend_retries_sum:sum_rate
|
record: "cluster_job:cortex_query_frontend_retries_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_query_frontend_retries_count[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_query_frontend_retries_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_query_frontend_retries_count:sum_rate
|
record: "cluster_job:cortex_query_frontend_retries_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_query_frontend_queue_duration_seconds:99quantile
|
record: "cluster_job:cortex_query_frontend_queue_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_query_frontend_queue_duration_seconds_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_query_frontend_queue_duration_seconds:50quantile
|
record: "cluster_job:cortex_query_frontend_queue_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(cortex_query_frontend_queue_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_query_frontend_queue_duration_seconds_sum[5m])) by (cluster,
|
||||||
job) / sum(rate(cortex_query_frontend_queue_duration_seconds_count[1m])) by
|
job) / sum(rate(cortex_query_frontend_queue_duration_seconds_count[5m])) by
|
||||||
(cluster, job)
|
(cluster, job)"
|
||||||
record: cluster_job:cortex_query_frontend_queue_duration_seconds:avg
|
record: "cluster_job:cortex_query_frontend_queue_duration_seconds:avg"
|
||||||
- expr: sum(rate(cortex_query_frontend_queue_duration_seconds_bucket[1m])) by (le,
|
- expr: "sum(rate(cortex_query_frontend_queue_duration_seconds_bucket[5m])) by (le,
|
||||||
cluster, job)
|
cluster, job)"
|
||||||
record: cluster_job:cortex_query_frontend_queue_duration_seconds_bucket:sum_rate
|
record: "cluster_job:cortex_query_frontend_queue_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_query_frontend_queue_duration_seconds_sum[1m])) by (cluster,
|
- expr: "sum(rate(cortex_query_frontend_queue_duration_seconds_sum[5m])) by (cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_query_frontend_queue_duration_seconds_sum:sum_rate
|
record: "cluster_job:cortex_query_frontend_queue_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_query_frontend_queue_duration_seconds_count[1m])) by (cluster,
|
- expr: "sum(rate(cortex_query_frontend_queue_duration_seconds_count[5m])) by (cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_query_frontend_queue_duration_seconds_count:sum_rate
|
record: "cluster_job:cortex_query_frontend_queue_duration_seconds_count:sum_rate"
|
||||||
- name: mimir_ingester_queries
|
- name: "mimir_ingester_queries"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_ingester_queried_series_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_ingester_queried_series_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_ingester_queried_series:99quantile
|
record: "cluster_job:cortex_ingester_queried_series:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_ingester_queried_series_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_ingester_queried_series_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_ingester_queried_series:50quantile
|
record: "cluster_job:cortex_ingester_queried_series:50quantile"
|
||||||
- expr: sum(rate(cortex_ingester_queried_series_sum[1m])) by (cluster, job) / sum(rate(cortex_ingester_queried_series_count[1m]))
|
- expr: "sum(rate(cortex_ingester_queried_series_sum[5m])) by (cluster, job) / sum(rate(cortex_ingester_queried_series_count[5m]))
|
||||||
by (cluster, job)
|
by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_series:avg
|
record: "cluster_job:cortex_ingester_queried_series:avg"
|
||||||
- expr: sum(rate(cortex_ingester_queried_series_bucket[1m])) by (le, cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_series_bucket[5m])) by (le, cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_series_bucket:sum_rate
|
record: "cluster_job:cortex_ingester_queried_series_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_ingester_queried_series_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_series_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_series_sum:sum_rate
|
record: "cluster_job:cortex_ingester_queried_series_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_ingester_queried_series_count[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_series_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_series_count:sum_rate
|
record: "cluster_job:cortex_ingester_queried_series_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_ingester_queried_samples_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_ingester_queried_samples_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_ingester_queried_samples:99quantile
|
record: "cluster_job:cortex_ingester_queried_samples:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_ingester_queried_samples_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_ingester_queried_samples_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_ingester_queried_samples:50quantile
|
record: "cluster_job:cortex_ingester_queried_samples:50quantile"
|
||||||
- expr: sum(rate(cortex_ingester_queried_samples_sum[1m])) by (cluster, job) / sum(rate(cortex_ingester_queried_samples_count[1m]))
|
- expr: "sum(rate(cortex_ingester_queried_samples_sum[5m])) by (cluster, job) / sum(rate(cortex_ingester_queried_samples_count[5m]))
|
||||||
by (cluster, job)
|
by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_samples:avg
|
record: "cluster_job:cortex_ingester_queried_samples:avg"
|
||||||
- expr: sum(rate(cortex_ingester_queried_samples_bucket[1m])) by (le, cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_samples_bucket[5m])) by (le, cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_samples_bucket:sum_rate
|
record: "cluster_job:cortex_ingester_queried_samples_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_ingester_queried_samples_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_samples_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_samples_sum:sum_rate
|
record: "cluster_job:cortex_ingester_queried_samples_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_ingester_queried_samples_count[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_samples_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_samples_count:sum_rate
|
record: "cluster_job:cortex_ingester_queried_samples_count:sum_rate"
|
||||||
- expr: histogram_quantile(0.99, sum(rate(cortex_ingester_queried_exemplars_bucket[1m]))
|
- expr: "histogram_quantile(0.99, sum(rate(cortex_ingester_queried_exemplars_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_ingester_queried_exemplars:99quantile
|
record: "cluster_job:cortex_ingester_queried_exemplars:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(cortex_ingester_queried_exemplars_bucket[1m]))
|
- expr: "histogram_quantile(0.50, sum(rate(cortex_ingester_queried_exemplars_bucket[5m]))
|
||||||
by (le, cluster, job))
|
by (le, cluster, job))"
|
||||||
record: cluster_job:cortex_ingester_queried_exemplars:50quantile
|
record: "cluster_job:cortex_ingester_queried_exemplars:50quantile"
|
||||||
- expr: sum(rate(cortex_ingester_queried_exemplars_sum[1m])) by (cluster, job) /
|
- expr: "sum(rate(cortex_ingester_queried_exemplars_sum[5m])) by (cluster, job) /
|
||||||
sum(rate(cortex_ingester_queried_exemplars_count[1m])) by (cluster, job)
|
sum(rate(cortex_ingester_queried_exemplars_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_exemplars:avg
|
record: "cluster_job:cortex_ingester_queried_exemplars:avg"
|
||||||
- expr: sum(rate(cortex_ingester_queried_exemplars_bucket[1m])) by (le, cluster,
|
- expr: "sum(rate(cortex_ingester_queried_exemplars_bucket[5m])) by (le, cluster,
|
||||||
job)
|
job)"
|
||||||
record: cluster_job:cortex_ingester_queried_exemplars_bucket:sum_rate
|
record: "cluster_job:cortex_ingester_queried_exemplars_bucket:sum_rate"
|
||||||
- expr: sum(rate(cortex_ingester_queried_exemplars_sum[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_exemplars_sum[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_exemplars_sum:sum_rate
|
record: "cluster_job:cortex_ingester_queried_exemplars_sum:sum_rate"
|
||||||
- expr: sum(rate(cortex_ingester_queried_exemplars_count[1m])) by (cluster, job)
|
- expr: "sum(rate(cortex_ingester_queried_exemplars_count[5m])) by (cluster, job)"
|
||||||
record: cluster_job:cortex_ingester_queried_exemplars_count:sum_rate
|
record: "cluster_job:cortex_ingester_queried_exemplars_count:sum_rate"
|
||||||
- name: mimir_received_samples
|
- name: "mimir_received_samples"
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: "sum by (cluster, namespace, job) (rate(cortex_distributor_received_samples_total[5m]))"
|
||||||
sum by (cluster, namespace, job) (rate(cortex_distributor_received_samples_total[5m]))
|
record: "cluster_namespace_job:cortex_distributor_received_samples:rate5m"
|
||||||
record: cluster_namespace_job:cortex_distributor_received_samples:rate5m
|
- name: "mimir_exemplars_in"
|
||||||
- name: mimir_exemplars_in
|
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: "sum by (cluster, namespace, job) (rate(cortex_distributor_exemplars_in_total[5m]))"
|
||||||
sum by (cluster, namespace, job) (rate(cortex_distributor_exemplars_in_total[5m]))
|
record: "cluster_namespace_job:cortex_distributor_exemplars_in:rate5m"
|
||||||
record: cluster_namespace_job:cortex_distributor_exemplars_in:rate5m
|
- name: "mimir_received_exemplars"
|
||||||
- name: mimir_received_exemplars
|
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: "sum by (cluster, namespace, job) (rate(cortex_distributor_received_exemplars_total[5m]))"
|
||||||
sum by (cluster, namespace, job) (rate(cortex_distributor_received_exemplars_total[5m]))
|
record: "cluster_namespace_job:cortex_distributor_received_exemplars:rate5m"
|
||||||
record: cluster_namespace_job:cortex_distributor_received_exemplars:rate5m
|
- name: "mimir_exemplars_ingested"
|
||||||
- name: mimir_exemplars_ingested
|
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: "sum by (cluster, namespace, job) (rate(cortex_ingester_ingested_exemplars_total[5m]))"
|
||||||
sum by (cluster, namespace, job) (rate(cortex_ingester_ingested_exemplars_total[5m]))
|
record: "cluster_namespace_job:cortex_ingester_ingested_exemplars:rate5m"
|
||||||
record: cluster_namespace_job:cortex_ingester_ingested_exemplars:rate5m
|
- name: "mimir_exemplars_appended"
|
||||||
- name: mimir_exemplars_appended
|
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: "sum by (cluster, namespace, job) (rate(cortex_ingester_tsdb_exemplar_exemplars_appended_total[5m]))"
|
||||||
sum by (cluster, namespace, job) (rate(cortex_ingester_tsdb_exemplar_exemplars_appended_total[5m]))
|
record: "cluster_namespace_job:cortex_ingester_tsdb_exemplar_exemplars_appended:rate5m"
|
||||||
record: cluster_namespace_job:cortex_ingester_tsdb_exemplar_exemplars_appended:rate5m
|
- name: "mimir_scaling_rules"
|
||||||
- name: mimir_scaling_rules
|
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: |
|
||||||
# Convenience rule to get the number of replicas for both a deployment and a statefulset.
|
# Convenience rule to get the number of replicas for both a deployment and a statefulset.
|
||||||
@@ -315,7 +310,7 @@ groups:
|
|||||||
sum by (cluster, namespace, deployment) (
|
sum by (cluster, namespace, deployment) (
|
||||||
label_replace(kube_statefulset_replicas, "deployment", "$1", "statefulset", "(.*?)(?:-zone-[a-z])?")
|
label_replace(kube_statefulset_replicas, "deployment", "$1", "statefulset", "(.*?)(?:-zone-[a-z])?")
|
||||||
)
|
)
|
||||||
record: cluster_namespace_deployment:actual_replicas:count
|
record: "cluster_namespace_deployment:actual_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
ceil(
|
ceil(
|
||||||
quantile_over_time(0.99,
|
quantile_over_time(0.99,
|
||||||
@@ -326,18 +321,18 @@ groups:
|
|||||||
/ 240000
|
/ 240000
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
deployment: distributor
|
deployment: "distributor"
|
||||||
reason: sample_rate
|
reason: "sample_rate"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
ceil(
|
ceil(
|
||||||
sum by (cluster, namespace) (cortex_limits_overrides{limit_name="ingestion_rate"})
|
sum by (cluster, namespace) (cortex_limits_overrides{limit_name="ingestion_rate"})
|
||||||
* 0.59999999999999998 / 240000
|
* 0.59999999999999998 / 240000
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
deployment: distributor
|
deployment: "distributor"
|
||||||
reason: sample_rate_limits
|
reason: "sample_rate_limits"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
ceil(
|
ceil(
|
||||||
quantile_over_time(0.99,
|
quantile_over_time(0.99,
|
||||||
@@ -348,9 +343,9 @@ groups:
|
|||||||
* 3 / 80000
|
* 3 / 80000
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
deployment: ingester
|
deployment: "ingester"
|
||||||
reason: sample_rate
|
reason: "sample_rate"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
ceil(
|
ceil(
|
||||||
quantile_over_time(0.99,
|
quantile_over_time(0.99,
|
||||||
@@ -361,27 +356,27 @@ groups:
|
|||||||
/ 1500000
|
/ 1500000
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
deployment: ingester
|
deployment: "ingester"
|
||||||
reason: active_series
|
reason: "active_series"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
ceil(
|
ceil(
|
||||||
sum by (cluster, namespace) (cortex_limits_overrides{limit_name="max_global_series_per_user"})
|
sum by (cluster, namespace) (cortex_limits_overrides{limit_name="max_global_series_per_user"})
|
||||||
* 3 * 0.59999999999999998 / 1500000
|
* 3 * 0.59999999999999998 / 1500000
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
deployment: ingester
|
deployment: "ingester"
|
||||||
reason: active_series_limits
|
reason: "active_series_limits"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
ceil(
|
ceil(
|
||||||
sum by (cluster, namespace) (cortex_limits_overrides{limit_name="ingestion_rate"})
|
sum by (cluster, namespace) (cortex_limits_overrides{limit_name="ingestion_rate"})
|
||||||
* 0.59999999999999998 / 80000
|
* 0.59999999999999998 / 80000
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
deployment: ingester
|
deployment: "ingester"
|
||||||
reason: sample_rate_limits
|
reason: "sample_rate_limits"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
ceil(
|
ceil(
|
||||||
(sum by (cluster, namespace) (
|
(sum by (cluster, namespace) (
|
||||||
@@ -393,14 +388,14 @@ groups:
|
|||||||
)
|
)
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
deployment: memcached
|
deployment: "memcached"
|
||||||
reason: active_series
|
reason: "active_series"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
sum by (cluster, namespace, deployment) (
|
sum by (cluster, namespace, deployment) (
|
||||||
label_replace(
|
label_replace(
|
||||||
label_replace(
|
label_replace(
|
||||||
sum by (cluster, namespace, pod)(rate(container_cpu_usage_seconds_total[1m])),
|
sum by (cluster, namespace, pod)(rate(container_cpu_usage_seconds_total[5m])),
|
||||||
"deployment", "$1", "pod", "(.*)-(?:([0-9]+)|([a-z0-9]+)-([a-z0-9]+))"
|
"deployment", "$1", "pod", "(.*)-(?:([0-9]+)|([a-z0-9]+)-([a-z0-9]+))"
|
||||||
),
|
),
|
||||||
# The question mark in "(.*?)" is used to make it non-greedy, otherwise it
|
# The question mark in "(.*?)" is used to make it non-greedy, otherwise it
|
||||||
@@ -408,7 +403,7 @@ groups:
|
|||||||
"deployment", "$1", "deployment", "(.*?)(?:-zone-[a-z])?"
|
"deployment", "$1", "deployment", "(.*?)(?:-zone-[a-z])?"
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
record: cluster_namespace_deployment:container_cpu_usage_seconds_total:sum_rate
|
record: "cluster_namespace_deployment:container_cpu_usage_seconds_total:sum_rate"
|
||||||
- expr: |
|
- expr: |
|
||||||
# Convenience rule to get the CPU request for both a deployment and a statefulset.
|
# Convenience rule to get the CPU request for both a deployment and a statefulset.
|
||||||
# Multi-zone deployments are grouped together removing the "zone-X" suffix.
|
# Multi-zone deployments are grouped together removing the "zone-X" suffix.
|
||||||
@@ -448,7 +443,7 @@ groups:
|
|||||||
)
|
)
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
record: cluster_namespace_deployment:kube_pod_container_resource_requests_cpu_cores:sum
|
record: "cluster_namespace_deployment:kube_pod_container_resource_requests_cpu_cores:sum"
|
||||||
- expr: |
|
- expr: |
|
||||||
# Jobs should be sized to their CPU usage.
|
# Jobs should be sized to their CPU usage.
|
||||||
# We do this by comparing 99th percentile usage over the last 24hrs to
|
# We do this by comparing 99th percentile usage over the last 24hrs to
|
||||||
@@ -461,8 +456,8 @@ groups:
|
|||||||
cluster_namespace_deployment:kube_pod_container_resource_requests_cpu_cores:sum
|
cluster_namespace_deployment:kube_pod_container_resource_requests_cpu_cores:sum
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
reason: cpu_usage
|
reason: "cpu_usage"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- expr: |
|
- expr: |
|
||||||
# Convenience rule to get the Memory utilization for both a deployment and a statefulset.
|
# Convenience rule to get the Memory utilization for both a deployment and a statefulset.
|
||||||
# Multi-zone deployments are grouped together removing the "zone-X" suffix.
|
# Multi-zone deployments are grouped together removing the "zone-X" suffix.
|
||||||
@@ -477,7 +472,7 @@ groups:
|
|||||||
"deployment", "$1", "deployment", "(.*?)(?:-zone-[a-z])?"
|
"deployment", "$1", "deployment", "(.*?)(?:-zone-[a-z])?"
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
record: cluster_namespace_deployment:container_memory_usage_bytes:sum
|
record: "cluster_namespace_deployment:container_memory_usage_bytes:sum"
|
||||||
- expr: |
|
- expr: |
|
||||||
# Convenience rule to get the Memory request for both a deployment and a statefulset.
|
# Convenience rule to get the Memory request for both a deployment and a statefulset.
|
||||||
# Multi-zone deployments are grouped together removing the "zone-X" suffix.
|
# Multi-zone deployments are grouped together removing the "zone-X" suffix.
|
||||||
@@ -517,7 +512,7 @@ groups:
|
|||||||
)
|
)
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
record: cluster_namespace_deployment:kube_pod_container_resource_requests_memory_bytes:sum
|
record: "cluster_namespace_deployment:kube_pod_container_resource_requests_memory_bytes:sum"
|
||||||
- expr: |
|
- expr: |
|
||||||
# Jobs should be sized to their Memory usage.
|
# Jobs should be sized to their Memory usage.
|
||||||
# We do this by comparing 99th percentile usage over the last 24hrs to
|
# We do this by comparing 99th percentile usage over the last 24hrs to
|
||||||
@@ -530,42 +525,31 @@ groups:
|
|||||||
cluster_namespace_deployment:kube_pod_container_resource_requests_memory_bytes:sum
|
cluster_namespace_deployment:kube_pod_container_resource_requests_memory_bytes:sum
|
||||||
)
|
)
|
||||||
labels:
|
labels:
|
||||||
reason: memory_usage
|
reason: "memory_usage"
|
||||||
record: cluster_namespace_deployment_reason:required_replicas:count
|
record: "cluster_namespace_deployment_reason:required_replicas:count"
|
||||||
- name: mimir_alertmanager_rules
|
- name: "mimir_alertmanager_rules"
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: "sum by (cluster, job, pod) (cortex_alertmanager_alerts)"
|
||||||
sum by (cluster, job, pod) (cortex_alertmanager_alerts)
|
record: "cluster_job_pod:cortex_alertmanager_alerts:sum"
|
||||||
record: cluster_job_pod:cortex_alertmanager_alerts:sum
|
- expr: "sum by (cluster, job, pod) (cortex_alertmanager_silences)"
|
||||||
- expr: |
|
record: "cluster_job_pod:cortex_alertmanager_silences:sum"
|
||||||
sum by (cluster, job, pod) (cortex_alertmanager_silences)
|
- expr: "sum by (cluster, job) (rate(cortex_alertmanager_alerts_received_total[5m]))"
|
||||||
record: cluster_job_pod:cortex_alertmanager_silences:sum
|
record: "cluster_job:cortex_alertmanager_alerts_received_total:rate5m"
|
||||||
- expr: |
|
- expr: "sum by (cluster, job) (rate(cortex_alertmanager_alerts_invalid_total[5m]))"
|
||||||
sum by (cluster, job) (rate(cortex_alertmanager_alerts_received_total[5m]))
|
record: "cluster_job:cortex_alertmanager_alerts_invalid_total:rate5m"
|
||||||
record: cluster_job:cortex_alertmanager_alerts_received_total:rate5m
|
- expr: "sum by (cluster, job, integration) (rate(cortex_alertmanager_notifications_total[5m]))"
|
||||||
- expr: |
|
record: "cluster_job_integration:cortex_alertmanager_notifications_total:rate5m"
|
||||||
sum by (cluster, job) (rate(cortex_alertmanager_alerts_invalid_total[5m]))
|
- expr: "sum by (cluster, job, integration) (rate(cortex_alertmanager_notifications_failed_total[5m]))"
|
||||||
record: cluster_job:cortex_alertmanager_alerts_invalid_total:rate5m
|
record: "cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m"
|
||||||
- expr: |
|
- expr: "sum by (cluster, job) (rate(cortex_alertmanager_state_replication_total[5m]))"
|
||||||
sum by (cluster, job, integration) (rate(cortex_alertmanager_notifications_total[5m]))
|
record: "cluster_job:cortex_alertmanager_state_replication_total:rate5m"
|
||||||
record: cluster_job_integration:cortex_alertmanager_notifications_total:rate5m
|
- expr: "sum by (cluster, job) (rate(cortex_alertmanager_state_replication_failed_total[5m]))"
|
||||||
- expr: |
|
record: "cluster_job:cortex_alertmanager_state_replication_failed_total:rate5m"
|
||||||
sum by (cluster, job, integration) (rate(cortex_alertmanager_notifications_failed_total[5m]))
|
- expr: "sum by (cluster, job) (rate(cortex_alertmanager_partial_state_merges_total[5m]))"
|
||||||
record: cluster_job_integration:cortex_alertmanager_notifications_failed_total:rate5m
|
record: "cluster_job:cortex_alertmanager_partial_state_merges_total:rate5m"
|
||||||
- expr: |
|
- expr: "sum by (cluster, job) (rate(cortex_alertmanager_partial_state_merges_failed_total[5m]))"
|
||||||
sum by (cluster, job) (rate(cortex_alertmanager_state_replication_total[5m]))
|
record: "cluster_job:cortex_alertmanager_partial_state_merges_failed_total:rate5m"
|
||||||
record: cluster_job:cortex_alertmanager_state_replication_total:rate5m
|
- name: "mimir_ingester_rules"
|
||||||
- expr: |
|
|
||||||
sum by (cluster, job) (rate(cortex_alertmanager_state_replication_failed_total[5m]))
|
|
||||||
record: cluster_job:cortex_alertmanager_state_replication_failed_total:rate5m
|
|
||||||
- expr: |
|
|
||||||
sum by (cluster, job) (rate(cortex_alertmanager_partial_state_merges_total[5m]))
|
|
||||||
record: cluster_job:cortex_alertmanager_partial_state_merges_total:rate5m
|
|
||||||
- expr: |
|
|
||||||
sum by (cluster, job) (rate(cortex_alertmanager_partial_state_merges_failed_total[5m]))
|
|
||||||
record: cluster_job:cortex_alertmanager_partial_state_merges_failed_total:rate5m
|
|
||||||
- name: mimir_ingester_rules
|
|
||||||
rules:
|
rules:
|
||||||
- expr: |
|
- expr: "sum by(cluster, namespace, pod) (rate(cortex_ingester_ingested_samples_total[5m]))"
|
||||||
sum by(cluster, namespace, pod) (rate(cortex_ingester_ingested_samples_total[1m]))
|
record: "cluster_namespace_pod:cortex_ingester_ingested_samples_total:rate1m"
|
||||||
record: cluster_namespace_pod:cortex_ingester_ingested_samples_total:rate1m
|
|
||||||
|
@@ -1,15 +1,15 @@
|
|||||||
groups:
|
groups:
|
||||||
- name: tempo_rules
|
- name: "tempo_rules"
|
||||||
rules:
|
rules:
|
||||||
- expr: histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket[1m])) by (le, cluster, namespace, job, route))
|
- expr: "histogram_quantile(0.99, sum(rate(tempo_request_duration_seconds_bucket[5m])) by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:tempo_request_duration_seconds:99quantile
|
record: "cluster_namespace_job_route:tempo_request_duration_seconds:99quantile"
|
||||||
- expr: histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket[1m])) by (le, cluster, namespace, job, route))
|
- expr: "histogram_quantile(0.50, sum(rate(tempo_request_duration_seconds_bucket[5m])) by (le, cluster, namespace, job, route))"
|
||||||
record: cluster_namespace_job_route:tempo_request_duration_seconds:50quantile
|
record: "cluster_namespace_job_route:tempo_request_duration_seconds:50quantile"
|
||||||
- expr: sum(rate(tempo_request_duration_seconds_sum[1m])) by (cluster, namespace, job, route) / sum(rate(tempo_request_duration_seconds_count[1m])) by (cluster, namespace, job, route)
|
- expr: "sum(rate(tempo_request_duration_seconds_sum[5m])) by (cluster, namespace, job, route) / sum(rate(tempo_request_duration_seconds_count[5m])) by (cluster, namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:tempo_request_duration_seconds:avg
|
record: "cluster_namespace_job_route:tempo_request_duration_seconds:avg"
|
||||||
- expr: sum(rate(tempo_request_duration_seconds_bucket[1m])) by (le, cluster, namespace, job, route)
|
- expr: "sum(rate(tempo_request_duration_seconds_bucket[5m])) by (le, cluster, namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:tempo_request_duration_seconds_bucket:sum_rate
|
record: "cluster_namespace_job_route:tempo_request_duration_seconds_bucket:sum_rate"
|
||||||
- expr: sum(rate(tempo_request_duration_seconds_sum[1m])) by (cluster, namespace, job, route)
|
- expr: "sum(rate(tempo_request_duration_seconds_sum[5m])) by (cluster, namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:tempo_request_duration_seconds_sum:sum_rate
|
record: "cluster_namespace_job_route:tempo_request_duration_seconds_sum:sum_rate"
|
||||||
- expr: sum(rate(tempo_request_duration_seconds_count[1m])) by (cluster, namespace, job, route)
|
- expr: "sum(rate(tempo_request_duration_seconds_count[5m])) by (cluster, namespace, job, route)"
|
||||||
record: cluster_namespace_job_route:tempo_request_duration_seconds_count:sum_rate
|
record: "cluster_namespace_job_route:tempo_request_duration_seconds_count:sum_rate"
|
||||||
|
33
charts/meta-monitoring/templates/_helpers.tpl
Normal file
33
charts/meta-monitoring/templates/_helpers.tpl
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
{{/*
|
||||||
|
Return the appropriate apiVersion for ingress.
|
||||||
|
*/}}
|
||||||
|
{{- define "ingress.apiVersion" -}}
|
||||||
|
{{- if and (.Capabilities.APIVersions.Has "networking.k8s.io/v1") (semverCompare ">= 1.19-0" .Capabilities.KubeVersion.Version) -}}
|
||||||
|
{{- print "networking.k8s.io/v1" -}}
|
||||||
|
{{- else if .Capabilities.APIVersions.Has "networking.k8s.io/v1beta1" -}}
|
||||||
|
{{- print "networking.k8s.io/v1beta1" -}}
|
||||||
|
{{- else -}}
|
||||||
|
{{- print "extensions/v1beta1" -}}
|
||||||
|
{{- end -}}
|
||||||
|
{{- end -}}
|
||||||
|
|
||||||
|
{{/*
|
||||||
|
Return if ingress is stable.
|
||||||
|
*/}}
|
||||||
|
{{- define "ingress.isStable" -}}
|
||||||
|
{{- eq (include "ingress.apiVersion" .) "networking.k8s.io/v1" -}}
|
||||||
|
{{- end -}}
|
||||||
|
|
||||||
|
{{/*
|
||||||
|
Return if ingress supports ingressClassName.
|
||||||
|
*/}}
|
||||||
|
{{- define "ingress.supportsIngressClassName" -}}
|
||||||
|
{{- or (eq (include "ingress.isStable" .) "true") (and (eq (include "ingress.apiVersion" .) "networking.k8s.io/v1beta1") (semverCompare ">= 1.18-0" .Capabilities.KubeVersion.Version)) -}}
|
||||||
|
{{- end -}}
|
||||||
|
|
||||||
|
{{/*
|
||||||
|
Return if ingress supports pathType.
|
||||||
|
*/}}
|
||||||
|
{{- define "ingress.supportsPathType" -}}
|
||||||
|
{{- or (eq (include "ingress.isStable" .) "true") (and (eq (include "ingress.apiVersion" .) "networking.k8s.io/v1beta1") (semverCompare ">= 1.18-0" .Capabilities.KubeVersion.Version)) -}}
|
||||||
|
{{- end -}}
|
@@ -6,6 +6,15 @@
|
|||||||
{{- join ", " $list }}
|
{{- join ", " $list }}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
|
||||||
|
{{- define "agent.all_namespaces" -}}
|
||||||
|
{{- $list := list }}
|
||||||
|
{{- range .Values.namespacesToMonitor }}
|
||||||
|
{{- $list = append $list (printf "%s" .) }}
|
||||||
|
{{- end }}
|
||||||
|
{{- $list = append $list .Release.Namespace }}
|
||||||
|
{{- join "|" $list }}
|
||||||
|
{{- end }}
|
||||||
|
|
||||||
{{- define "agent.loki_write_targets" -}}
|
{{- define "agent.loki_write_targets" -}}
|
||||||
{{- $list := list }}
|
{{- $list := list }}
|
||||||
{{- if .Values.local.logs.enabled }}
|
{{- if .Values.local.logs.enabled }}
|
||||||
@@ -18,10 +27,10 @@
|
|||||||
{{- end }}
|
{{- end }}
|
||||||
|
|
||||||
{{- define "agent.loki_process_targets" -}}
|
{{- define "agent.loki_process_targets" -}}
|
||||||
{{- if empty .Values.logs.piiRegexes }}
|
{{- if and (empty .Values.logs.piiRegexes) (empty .Values.logs.retain) }}
|
||||||
{{- include "agent.loki_write_targets" . }}
|
{{- include "agent.loki_write_targets" . }}
|
||||||
{{- else }}
|
{{- else }}
|
||||||
{{- printf "loki.process.PII.receiver" }}
|
{{- printf "loki.process.filter.receiver" }}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
|
||||||
|
@@ -8,7 +8,7 @@ data:
|
|||||||
discovery.kubernetes "pods" {
|
discovery.kubernetes "pods" {
|
||||||
role = "pod"
|
role = "pod"
|
||||||
namespaces {
|
namespaces {
|
||||||
own_namespace = false
|
own_namespace = true
|
||||||
names = [ {{ include "agent.namespaces" . }} ]
|
names = [ {{ include "agent.namespaces" . }} ]
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
@@ -33,22 +33,40 @@ data:
|
|||||||
}
|
}
|
||||||
rule {
|
rule {
|
||||||
target_label = "cluster"
|
target_label = "cluster"
|
||||||
replacement = "{{- .Values.clusterName -}}"
|
replacement = "{{- .Values.clusterLabelValue -}}"
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
{{- if or .Values.local.logs.enabled .Values.cloud.logs.enabled }}
|
||||||
// Logs
|
// Logs
|
||||||
|
|
||||||
{{- if or .Values.local.logs.enabled .Values.cloud.logs.enabled }}
|
{{- if .Values.cloud.logs.enabled }}
|
||||||
|
remote.kubernetes.secret "logs_credentials" {
|
||||||
|
namespace = "{{- $.Release.Namespace -}}"
|
||||||
|
name = "{{- .Values.cloud.logs.secret -}}"
|
||||||
|
}
|
||||||
|
{{- end }}
|
||||||
|
|
||||||
loki.source.kubernetes "pods" {
|
loki.source.kubernetes "pods" {
|
||||||
|
clustering {
|
||||||
|
enabled = true
|
||||||
|
}
|
||||||
targets = discovery.relabel.rename_meta_labels.output
|
targets = discovery.relabel.rename_meta_labels.output
|
||||||
forward_to = [ {{ include "agent.loki_process_targets" . }} ]
|
forward_to = [ {{ include "agent.loki_process_targets" . }} ]
|
||||||
}
|
}
|
||||||
|
|
||||||
{{- if not (empty .Values.logs.piiRegexes) }}
|
{{- if or (not (empty .Values.logs.retain)) (not (empty .Values.logs.piiRegexes)) }}
|
||||||
loki.process "PII" {
|
loki.process "filter" {
|
||||||
forward_to = [ {{ include "agent.loki_write_targets" . }} ]
|
forward_to = [ {{ include "agent.loki_write_targets" . }} ]
|
||||||
|
|
||||||
|
{{- if not (empty .Values.logs.retain) }}
|
||||||
|
stage.match {
|
||||||
|
selector = "{cluster=\"{{- .Values.clusterLabelValue -}}\", namespace=~\"{{- join "|" .Values.namespacesToMonitor -}}|{{- $.Release.Namespace -}}\", pod=~\"loki.*\"} !~ \"{{ join "|" .Values.logs.retain }}\""
|
||||||
|
action = "drop"
|
||||||
|
}
|
||||||
|
{{- end }}
|
||||||
|
|
||||||
|
{{- if not (empty .Values.logs.piiRegexes) }}
|
||||||
{{- range .Values.logs.piiRegexes }}
|
{{- range .Values.logs.piiRegexes }}
|
||||||
stage.replace {
|
stage.replace {
|
||||||
expression = "{{ .expression }}"
|
expression = "{{ .expression }}"
|
||||||
@@ -56,29 +74,101 @@ data:
|
|||||||
replace = "{{ .replace }}"
|
replace = "{{ .replace }}"
|
||||||
}
|
}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
{{- end }}
|
||||||
}
|
}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
|
||||||
|
{{- if or .Values.local.metrics.enabled .Values.cloud.metrics.enabled }}
|
||||||
// Metrics
|
// Metrics
|
||||||
|
|
||||||
{{- if or .Values.local.metrics.enabled .Values.cloud.metrics.enabled }}
|
{{- if .Values.cloud.metrics.enabled }}
|
||||||
|
remote.kubernetes.secret "metrics_credentials" {
|
||||||
|
namespace = "{{- $.Release.Namespace -}}"
|
||||||
|
name = "{{- .Values.cloud.metrics.secret -}}"
|
||||||
|
}
|
||||||
|
{{- end }}
|
||||||
|
|
||||||
|
discovery.kubernetes "metric_pods" {
|
||||||
|
role = "pod"
|
||||||
|
namespaces {
|
||||||
|
own_namespace = true
|
||||||
|
names = [ {{ include "agent.namespaces" . }} ]
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
discovery.relabel "only_http_metrics" {
|
||||||
|
targets = discovery.kubernetes.metric_pods.targets
|
||||||
|
|
||||||
|
rule {
|
||||||
|
source_labels = ["__meta_kubernetes_namespace"]
|
||||||
|
target_label = "namespace"
|
||||||
|
}
|
||||||
|
rule {
|
||||||
|
source_labels = ["__meta_kubernetes_pod_name"]
|
||||||
|
target_label = "pod"
|
||||||
|
}
|
||||||
|
rule {
|
||||||
|
source_labels = ["__meta_kubernetes_namespace", "__meta_kubernetes_pod_label_app_kubernetes_io_name", "__meta_kubernetes_pod_label_app_kubernetes_io_component"]
|
||||||
|
separator = "/"
|
||||||
|
regex = "(.*)/(.*)/(.*)"
|
||||||
|
replacement = "${1}/${2}-${3}"
|
||||||
|
target_label = "job"
|
||||||
|
}
|
||||||
|
rule {
|
||||||
|
target_label = "cluster"
|
||||||
|
replacement = "{{- .Values.clusterLabelValue -}}"
|
||||||
|
}
|
||||||
|
rule {
|
||||||
|
source_labels = ["__meta_kubernetes_pod_container_port_number"]
|
||||||
|
action = "drop"
|
||||||
|
regex = "9095"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
prometheus.scrape "pods" {
|
prometheus.scrape "pods" {
|
||||||
targets = discovery.relabel.rename_meta_labels.output
|
clustering {
|
||||||
|
enabled = true
|
||||||
|
}
|
||||||
|
targets = discovery.relabel.only_http_metrics.output
|
||||||
|
forward_to = [ prometheus.relabel.filter.receiver ]
|
||||||
|
}
|
||||||
|
|
||||||
|
prometheus.relabel "filter" {
|
||||||
|
rule {
|
||||||
|
source_labels = ["__name__"]
|
||||||
|
regex = "({{ join "|" .Values.metrics.retain }})"
|
||||||
|
action = "keep"
|
||||||
|
}
|
||||||
|
|
||||||
|
rule {
|
||||||
|
source_labels = ["namespace"]
|
||||||
|
regex = "{{ include "agent.all_namespaces" . }}"
|
||||||
|
|
||||||
|
action = "keep"
|
||||||
|
}
|
||||||
|
|
||||||
forward_to = [ {{ include "agent.prometheus_write_targets" . }} ]
|
forward_to = [ {{ include "agent.prometheus_write_targets" . }} ]
|
||||||
}
|
}
|
||||||
{{- if .Values.kubeStateMetrics.enabled }}
|
{{- if .Values.kubeStateMetrics.enabled }}
|
||||||
|
|
||||||
prometheus.scrape "kubeStateMetrics" {
|
prometheus.scrape "kubeStateMetrics" {
|
||||||
|
clustering {
|
||||||
|
enabled = true
|
||||||
|
}
|
||||||
targets = [ { "__address__" = "{{ .Values.kubeStateMetrics.endpoint }}" } ]
|
targets = [ { "__address__" = "{{ .Values.kubeStateMetrics.endpoint }}" } ]
|
||||||
forward_to = [ {{ include "agent.prometheus_write_targets" . }} ]
|
forward_to = [ prometheus.relabel.filter.receiver ]
|
||||||
}
|
}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
|
||||||
// cAdvisor and Kubelete metrics
|
// cAdvisor and Kubelet metrics
|
||||||
// Based on https://github.com/Chewie/loutretelecom-manifests/blob/main/manifests/addons/monitoring/config.river
|
// Based on https://github.com/Chewie/loutretelecom-manifests/blob/main/manifests/addons/monitoring/config.river
|
||||||
discovery.kubernetes "all_nodes" {
|
discovery.kubernetes "all_nodes" {
|
||||||
role = "node"
|
role = "node"
|
||||||
|
namespaces {
|
||||||
|
own_namespace = true
|
||||||
|
names = [ {{ include "agent.namespaces" . }} ]
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
discovery.relabel "all_nodes" {
|
discovery.relabel "all_nodes" {
|
||||||
@@ -104,15 +194,17 @@ data:
|
|||||||
}
|
}
|
||||||
rule {
|
rule {
|
||||||
target_label = "cluster"
|
target_label = "cluster"
|
||||||
replacement = "{{- .Values.clusterName -}}"
|
replacement = "{{- .Values.clusterLabelValue -}}"
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
prometheus.scrape "cadvisor" {
|
prometheus.scrape "cadvisor" {
|
||||||
|
clustering {
|
||||||
|
enabled = true
|
||||||
|
}
|
||||||
targets = discovery.relabel.all_nodes.output
|
targets = discovery.relabel.all_nodes.output
|
||||||
forward_to = [ {{ include "agent.prometheus_write_targets" . }} ]
|
forward_to = [ prometheus.relabel.filter.receiver ]
|
||||||
|
|
||||||
scrape_interval = "15s"
|
|
||||||
metrics_path = "/metrics/cadvisor"
|
metrics_path = "/metrics/cadvisor"
|
||||||
scheme = "https"
|
scheme = "https"
|
||||||
|
|
||||||
@@ -123,10 +215,12 @@ data:
|
|||||||
}
|
}
|
||||||
|
|
||||||
prometheus.scrape "kubelet" {
|
prometheus.scrape "kubelet" {
|
||||||
|
clustering {
|
||||||
|
enabled = true
|
||||||
|
}
|
||||||
targets = discovery.relabel.all_nodes.output
|
targets = discovery.relabel.all_nodes.output
|
||||||
forward_to = [ {{ include "agent.prometheus_write_targets" . }} ]
|
forward_to = [ prometheus.relabel.filter.receiver ]
|
||||||
|
|
||||||
scrape_interval = "15s"
|
|
||||||
metrics_path = "/metrics"
|
metrics_path = "/metrics"
|
||||||
scheme = "https"
|
scheme = "https"
|
||||||
|
|
||||||
@@ -136,18 +230,20 @@ data:
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
prometheus.exporter.unix {}
|
prometheus.exporter.unix "promexporter" {}
|
||||||
|
|
||||||
prometheus.scrape "node_exporter" {
|
prometheus.scrape "node_exporter" {
|
||||||
targets = prometheus.exporter.unix.targets
|
clustering {
|
||||||
|
enabled = true
|
||||||
|
}
|
||||||
|
targets = prometheus.exporter.unix.promexporter.targets
|
||||||
forward_to = [prometheus.relabel.node_exporter.receiver]
|
forward_to = [prometheus.relabel.node_exporter.receiver]
|
||||||
|
|
||||||
job_name = "node-exporter"
|
job_name = "node-exporter"
|
||||||
scrape_interval = "15s"
|
|
||||||
}
|
}
|
||||||
|
|
||||||
prometheus.relabel "node_exporter" {
|
prometheus.relabel "node_exporter" {
|
||||||
forward_to = [ {{ include "agent.prometheus_write_targets" . }} ]
|
forward_to = [ prometheus.relabel.filter.receiver ]
|
||||||
|
|
||||||
rule {
|
rule {
|
||||||
replacement = env("HOSTNAME")
|
replacement = env("HOSTNAME")
|
||||||
@@ -178,14 +274,21 @@ data:
|
|||||||
}
|
}
|
||||||
rule {
|
rule {
|
||||||
target_label = "cluster"
|
target_label = "cluster"
|
||||||
replacement = "{{- .Values.clusterName -}}"
|
replacement = "{{- .Values.clusterLabelValue -}}"
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
|
||||||
|
{{- if or .Values.local.traces.enabled .Values.cloud.traces.enabled }}
|
||||||
// Traces
|
// Traces
|
||||||
|
|
||||||
{{- if or .Values.local.traces.enabled .Values.cloud.traces.enabled }}
|
{{- if .Values.cloud.traces.enabled }}
|
||||||
|
remote.kubernetes.secret "traces_credentials" {
|
||||||
|
namespace = "{{- $.Release.Namespace -}}"
|
||||||
|
name = "{{- .Values.cloud.traces.secret -}}"
|
||||||
|
}
|
||||||
|
{{- end }}
|
||||||
|
|
||||||
// Shamelessly copied from https://github.com/grafana/intro-to-mlt/blob/main/agent/config.river
|
// Shamelessly copied from https://github.com/grafana/intro-to-mlt/blob/main/agent/config.river
|
||||||
otelcol.receiver.otlp "otlp_receiver" {
|
otelcol.receiver.otlp "otlp_receiver" {
|
||||||
// We don't technically need this, but it shows how to change listen address and incoming port.
|
// We don't technically need this, but it shows how to change listen address and incoming port.
|
||||||
@@ -219,7 +322,7 @@ data:
|
|||||||
{{- if .Values.local.logs.enabled }}
|
{{- if .Values.local.logs.enabled }}
|
||||||
loki.write "local" {
|
loki.write "local" {
|
||||||
endpoint {
|
endpoint {
|
||||||
url = "http://loki-gateway.{{- .Release.Namespace -}}.svc.cluster.local:80/loki/api/v1/push"
|
url = "http://{{- .Release.Namespace -}}-loki-gateway.{{- .Release.Namespace -}}.svc.cluster.local:80/loki/api/v1/push"
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
@@ -254,11 +357,10 @@ data:
|
|||||||
{{- if .Values.cloud.logs.enabled }}
|
{{- if .Values.cloud.logs.enabled }}
|
||||||
loki.write "cloud" {
|
loki.write "cloud" {
|
||||||
endpoint {
|
endpoint {
|
||||||
url = "{{- .Values.cloud.logs.endpoint -}}/loki/api/v1/push"
|
url = nonsensitive(remote.kubernetes.secret.logs_credentials.data["endpoint"])
|
||||||
|
|
||||||
basic_auth {
|
basic_auth {
|
||||||
username = "{{- .Values.cloud.logs.username -}}"
|
username = nonsensitive(remote.kubernetes.secret.logs_credentials.data["username"])
|
||||||
password = "{{- .Values.cloud.logs.password -}}"
|
password = remote.kubernetes.secret.logs_credentials.data["password"]
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
@@ -267,11 +369,10 @@ data:
|
|||||||
{{- if .Values.cloud.metrics.enabled }}
|
{{- if .Values.cloud.metrics.enabled }}
|
||||||
prometheus.remote_write "cloud" {
|
prometheus.remote_write "cloud" {
|
||||||
endpoint {
|
endpoint {
|
||||||
url = "{{- .Values.cloud.metrics.endpoint -}}/api/prom/push"
|
url = nonsensitive(remote.kubernetes.secret.metrics_credentials.data["endpoint"])
|
||||||
|
|
||||||
basic_auth {
|
basic_auth {
|
||||||
username = "{{- .Values.cloud.metrics.username -}}"
|
username = nonsensitive(remote.kubernetes.secret.metrics_credentials.data["username"])
|
||||||
password = "{{- .Values.cloud.metrics.password -}}"
|
password = remote.kubernetes.secret.metrics_credentials.data["password"]
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
@@ -280,13 +381,13 @@ data:
|
|||||||
{{- if .Values.cloud.traces.enabled }}
|
{{- if .Values.cloud.traces.enabled }}
|
||||||
otelcol.exporter.otlp "cloud" {
|
otelcol.exporter.otlp "cloud" {
|
||||||
client {
|
client {
|
||||||
endpoint = "{{- .Values.cloud.traces.endpoint -}}"
|
endpoint = nonsensitive(remote.kubernetes.secret.traces_credentials.data["endpoint"])
|
||||||
auth = otelcol.auth.basic.creds.handler
|
auth = otelcol.auth.basic.creds.handler
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
otelcol.auth.basic "creds" {
|
otelcol.auth.basic "creds" {
|
||||||
username = "{{- .Values.cloud.traces.username -}}"
|
username = nonsensitive(remote.kubernetes.secret.traces_credentials.data["username"])
|
||||||
password = "{{- .Values.cloud.traces.password -}}"
|
password = remote.kubernetes.secret.traces_credentials.data["password"]
|
||||||
}
|
}
|
||||||
{{- end }}
|
{{- end }}
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.traces.enabled }}
|
{{- if and .Values.local.grafana.enabled (or .Values.dashboards.logs.enabled .Values.dashboards.metrics.enabled .Values.dashboards.traces.enabled) }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if or (or .Values.dashboards.logs.enabled .Values.dashboards.metrics.enabled) .Values.dashboards.traces.enabled }}
|
{{- if and .Values.local.grafana.enabled (or .Values.dashboards.logs.enabled .Values.dashboards.metrics.enabled .Values.dashboards.traces.enabled) }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if or (or .Values.local.logs.enabled .Values.local.metrics.enabled) .Values.local.traces.enabled }}
|
{{- if .Values.local.grafana.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
@@ -12,7 +12,7 @@ data:
|
|||||||
|
|
||||||
# List of data sources to delete from the database.
|
# List of data sources to delete from the database.
|
||||||
deleteDatasources:
|
deleteDatasources:
|
||||||
- name: Loki
|
- name: Loki
|
||||||
orgId: 1
|
orgId: 1
|
||||||
|
|
||||||
# List of data sources to insert/update depending on what's
|
# List of data sources to insert/update depending on what's
|
||||||
@@ -32,7 +32,7 @@ data:
|
|||||||
uid: loki_ds
|
uid: loki_ds
|
||||||
# <string> Sets the data source's URL, including the
|
# <string> Sets the data source's URL, including the
|
||||||
# port.
|
# port.
|
||||||
url: http://loki-gateway.{{- $.Release.Namespace -}}.svc.cluster.local
|
url: http://{{- $.Release.Namespace -}}-loki-gateway.{{- $.Release.Namespace -}}.svc.cluster.local
|
||||||
# <bool> Toggles whether the data source is pre-selected
|
# <bool> Toggles whether the data source is pre-selected
|
||||||
# for new panels. You can set only one default
|
# for new panels. You can set only one default
|
||||||
# data source per organization.
|
# data source per organization.
|
||||||
|
@@ -0,0 +1,57 @@
|
|||||||
|
{{- if and .Values.local.grafana.enabled .Values.grafana.ingress.enabled -}}
|
||||||
|
{{- $ingressApiIsStable := eq (include "ingress.isStable" .) "true" -}}
|
||||||
|
{{- $ingressSupportsIngressClassName := eq (include "ingress.supportsIngressClassName" .) "true" -}}
|
||||||
|
{{- $ingressSupportsPathType := eq (include "ingress.supportsPathType" .) "true" -}}
|
||||||
|
apiVersion: {{ include "ingress.apiVersion" . }}
|
||||||
|
kind: Ingress
|
||||||
|
metadata:
|
||||||
|
name: grafana
|
||||||
|
namespace: {{ $.Release.Namespace }}
|
||||||
|
labels:
|
||||||
|
app: grafana
|
||||||
|
{{- range $labelKey, $labelValue := .Values.grafana.ingress.labels }}
|
||||||
|
{{ $labelKey }}: {{ $labelValue | toYaml }}
|
||||||
|
{{- end }}
|
||||||
|
{{- with .Values.grafana.ingress.annotations }}
|
||||||
|
annotations:
|
||||||
|
{{- toYaml . | nindent 4 }}
|
||||||
|
{{- end }}
|
||||||
|
spec:
|
||||||
|
{{- if and $ingressSupportsIngressClassName .Values.grafana.ingress.ingressClassName }}
|
||||||
|
ingressClassName: {{ .Values.grafana.ingress.ingressClassName }}
|
||||||
|
{{- end -}}
|
||||||
|
{{- if .Values.grafana.ingress.tls }}
|
||||||
|
tls:
|
||||||
|
{{- range .Values.grafana.ingress.tls }}
|
||||||
|
- hosts:
|
||||||
|
{{- range .hosts }}
|
||||||
|
- {{ tpl . $ | quote }}
|
||||||
|
{{- end }}
|
||||||
|
{{- with .secretName }}
|
||||||
|
secretName: {{ . }}
|
||||||
|
{{- end }}
|
||||||
|
{{- end }}
|
||||||
|
{{- end }}
|
||||||
|
rules:
|
||||||
|
{{- range .Values.grafana.ingress.hosts }}
|
||||||
|
- host: {{ tpl .host $ | quote }}
|
||||||
|
http:
|
||||||
|
paths:
|
||||||
|
{{- range .paths }}
|
||||||
|
- path: {{ .path }}
|
||||||
|
{{- if $ingressSupportsPathType }}
|
||||||
|
pathType: {{ .pathType }}
|
||||||
|
{{- end }}
|
||||||
|
backend:
|
||||||
|
{{- if $ingressApiIsStable }}
|
||||||
|
service:
|
||||||
|
name: grafana
|
||||||
|
port:
|
||||||
|
number: 3000
|
||||||
|
{{- else }}
|
||||||
|
serviceName: grafana
|
||||||
|
servicePort: 3000
|
||||||
|
{{- end }}
|
||||||
|
{{- end }}
|
||||||
|
{{- end }}
|
||||||
|
{{- end }}
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if or (or .Values.local.logs.enabled .Values.local.metrics.enabled) .Values.local.traces.enabled }}
|
{{- if .Values.local.grafana.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: PersistentVolumeClaim
|
kind: PersistentVolumeClaim
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.logs.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.logs.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.logs.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.logs.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.metrics.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.metrics.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.metrics.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.metrics.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.metrics.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.metrics.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.metrics.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.metrics.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.metrics.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.metrics.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
@@ -1,4 +1,4 @@
|
|||||||
{{- if .Values.dashboards.traces.enabled }}
|
{{- if and .Values.local.grafana.enabled .Values.dashboards.traces.enabled }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
|
@@ -1,9 +1,10 @@
|
|||||||
{{- if or (or .Values.dashboards.logs.enabled .Values.dashboards.metrics.enabled) .Values.dashboards.traces.enabled }}
|
{{- if .Values.local.grafana.enabled }}
|
||||||
|
{{- if and .Values.local.grafana.enabled (or .Values.dashboards.logs.enabled .Values.dashboards.metrics.enabled .Values.dashboards.traces.enabled) }}
|
||||||
apiVersion: apps/v1
|
apiVersion: apps/v1
|
||||||
kind: Deployment
|
kind: Deployment
|
||||||
metadata:
|
metadata:
|
||||||
name: meta-mimir-ruler-for-dashboards
|
name: {{ $.Release.Namespace }}-mimir-ruler-for-dashboards
|
||||||
namespace: meta
|
namespace: {{ $.Release.Namespace }}
|
||||||
spec:
|
spec:
|
||||||
progressDeadlineSeconds: 600
|
progressDeadlineSeconds: 600
|
||||||
replicas: 1
|
replicas: 1
|
||||||
@@ -24,7 +25,7 @@ spec:
|
|||||||
app.kubernetes.io/component: ruler-for-dashboards
|
app.kubernetes.io/component: ruler-for-dashboards
|
||||||
app.kubernetes.io/instance: meta
|
app.kubernetes.io/instance: meta
|
||||||
app.kubernetes.io/name: mimir
|
app.kubernetes.io/name: mimir
|
||||||
namespace: meta
|
namespace: {{ $.Release.Namespace }}
|
||||||
spec:
|
spec:
|
||||||
containers:
|
containers:
|
||||||
- args:
|
- args:
|
||||||
@@ -91,8 +92,6 @@ spec:
|
|||||||
runAsUser: 10001
|
runAsUser: 10001
|
||||||
seccompProfile:
|
seccompProfile:
|
||||||
type: RuntimeDefault
|
type: RuntimeDefault
|
||||||
serviceAccount: meta-mimir
|
|
||||||
serviceAccountName: meta-mimir
|
|
||||||
terminationGracePeriodSeconds: 180
|
terminationGracePeriodSeconds: 180
|
||||||
topologySpreadConstraints:
|
topologySpreadConstraints:
|
||||||
- labelSelector:
|
- labelSelector:
|
||||||
@@ -109,11 +108,11 @@ spec:
|
|||||||
items:
|
items:
|
||||||
- key: mimir.yaml
|
- key: mimir.yaml
|
||||||
path: mimir.yaml
|
path: mimir.yaml
|
||||||
name: meta-mimir-config
|
name: {{ $.Release.Namespace }}-mimir-config
|
||||||
name: config
|
name: config
|
||||||
- configMap:
|
- configMap:
|
||||||
defaultMode: 420
|
defaultMode: 420
|
||||||
name: meta-mimir-runtime
|
name: {{ $.Release.Namespace }}-mimir-runtime
|
||||||
name: runtime-config
|
name: runtime-config
|
||||||
- emptyDir: {}
|
- emptyDir: {}
|
||||||
name: storage
|
name: storage
|
||||||
@@ -124,3 +123,4 @@ spec:
|
|||||||
name: rules
|
name: rules
|
||||||
name: rules
|
name: rules
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
{{- end }}
|
||||||
|
@@ -1,4 +1,5 @@
|
|||||||
{{- if or (or .Values.dashboards.logs.enabled .Values.dashboards.metrics.enabled) .Values.dashboards.traces.enabled }}
|
{{- if .Values.local.metrics.enabled }}
|
||||||
|
{{- if and .Values.local.grafana.enabled (or .Values.dashboards.logs.enabled .Values.dashboards.metrics.enabled .Values.dashboards.traces.enabled) }}
|
||||||
---
|
---
|
||||||
apiVersion: v1
|
apiVersion: v1
|
||||||
kind: ConfigMap
|
kind: ConfigMap
|
||||||
@@ -16,3 +17,4 @@ data:
|
|||||||
{{ ($.Files.Glob "src/rules/tempo-rules.yaml").AsConfig | indent 2 }}
|
{{ ($.Files.Glob "src/rules/tempo-rules.yaml").AsConfig | indent 2 }}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
{{- end }}
|
{{- end }}
|
||||||
|
{{- end }}
|
||||||
|
@@ -3,20 +3,20 @@
|
|||||||
{{- end -}}
|
{{- end -}}
|
||||||
|
|
||||||
{{- if eq .Values.cloud.logs.enabled true -}}
|
{{- if eq .Values.cloud.logs.enabled true -}}
|
||||||
{{- if or (empty .Values.cloud.logs.endpoint) (or (empty .Values.cloud.logs.username) (empty .Values.cloud.logs.password)) -}}
|
{{- if empty .Values.cloud.logs.secret -}}
|
||||||
{{- fail "if cloud.logs is enabled then the endpoint, username and password have to be filled in" -}}
|
{{- fail "if cloud.logs is enabled then the secret has to be filled in" -}}
|
||||||
{{- end -}}
|
{{- end -}}
|
||||||
{{- end -}}
|
{{- end -}}
|
||||||
|
|
||||||
{{- if eq .Values.cloud.metrics.enabled true -}}
|
{{- if eq .Values.cloud.metrics.enabled true -}}
|
||||||
{{- if or (empty .Values.cloud.metrics.endpoint) (or (empty .Values.cloud.metrics.username) (empty .Values.cloud.metrics.password)) -}}
|
{{- if empty .Values.cloud.metrics.secret -}}
|
||||||
{{- fail "if cloud.metrics is enabled then the endpoint, username and password have to be filled in" -}}
|
{{- fail "if cloud.metrics is enabled then the secret has to be filled in" -}}
|
||||||
{{- end -}}
|
{{- end -}}
|
||||||
{{- end -}}
|
{{- end -}}
|
||||||
|
|
||||||
{{- if eq .Values.cloud.traces.enabled true -}}
|
{{- if eq .Values.cloud.traces.enabled true -}}
|
||||||
{{- if or (empty .Values.cloud.traces.endpoint) (or (empty .Values.cloud.traces.username) (empty .Values.cloud.traces.password)) -}}
|
{{- if empty .Values.cloud.traces.secret -}}
|
||||||
{{- fail "if cloud.traces is enabled then the endpoint, username and password have to be filled in" -}}
|
{{- fail "if cloud.traces is enabled then the secret has to be filled in" -}}
|
||||||
{{- end -}}
|
{{- end -}}
|
||||||
{{- end -}}
|
{{- end -}}
|
||||||
|
|
||||||
@@ -37,3 +37,7 @@
|
|||||||
{{- if empty .Values.namespacesToMonitor -}}
|
{{- if empty .Values.namespacesToMonitor -}}
|
||||||
{{- fail "No namespaces have been specified in namespacesToMonitor" -}}
|
{{- fail "No namespaces have been specified in namespacesToMonitor" -}}
|
||||||
{{- end -}}
|
{{- end -}}
|
||||||
|
|
||||||
|
{{- if empty .Values.metrics.retain -}}
|
||||||
|
{{- fail "All metrics will be collected, please specify some in metrics.retain" -}}
|
||||||
|
{{- end -}}
|
||||||
|
@@ -1,10 +1,26 @@
|
|||||||
|
# Specify the namespaces to monitor here
|
||||||
namespacesToMonitor:
|
namespacesToMonitor:
|
||||||
- loki
|
- loki
|
||||||
- mimir
|
# The name of the cluster where this will be installed
|
||||||
- tempo
|
clusterLabelValue: "meta-monitoring"
|
||||||
clusterName: "meta-monitoring" # TODO check if this can be derived
|
|
||||||
|
|
||||||
|
# Set to true to write logs, metrics or traces to Grafana Cloud
|
||||||
|
# The secrets have to be created first
|
||||||
|
cloud:
|
||||||
|
logs:
|
||||||
|
enabled: true
|
||||||
|
secret: "logs"
|
||||||
|
metrics:
|
||||||
|
enabled: true
|
||||||
|
secret: "metrics"
|
||||||
|
traces:
|
||||||
|
enabled: true
|
||||||
|
secret: "traces"
|
||||||
|
|
||||||
|
# Set to true for a local version of logs, metrics or traces
|
||||||
local:
|
local:
|
||||||
|
grafana:
|
||||||
|
enabled: false
|
||||||
logs:
|
logs:
|
||||||
enabled: false
|
enabled: false
|
||||||
metrics:
|
metrics:
|
||||||
@@ -14,32 +30,152 @@ local:
|
|||||||
minio:
|
minio:
|
||||||
enabled: false # This should be set to true if any of the previous is enabled
|
enabled: false # This should be set to true if any of the previous is enabled
|
||||||
|
|
||||||
cloud:
|
grafana:
|
||||||
logs:
|
# Gateway ingress configuration
|
||||||
|
ingress:
|
||||||
|
# -- Specifies whether an ingress for the gateway should be created
|
||||||
enabled: true
|
enabled: true
|
||||||
endpoint:
|
# -- Ingress Class Name. MAY be required for Kubernetes versions >= 1.18
|
||||||
username:
|
ingressClassName: ""
|
||||||
password:
|
# -- Annotations for the gateway ingress
|
||||||
metrics:
|
annotations: { }
|
||||||
enabled: true
|
# -- Labels for the gateway ingress
|
||||||
endpoint:
|
labels: { }
|
||||||
username:
|
# -- Hosts configuration for the gateway ingress, passed through the `tpl` function to allow templating
|
||||||
password:
|
hosts:
|
||||||
traces:
|
- host: monitoring.example.com
|
||||||
enabled: true
|
paths:
|
||||||
endpoint:
|
- path: /
|
||||||
username:
|
# -- pathType (e.g. ImplementationSpecific, Prefix, .. etc.) might also be required by some Ingress Controllers
|
||||||
password:
|
# pathType: Prefix
|
||||||
|
# -- TLS configuration for the gateway ingress. Hosts passed through the `tpl` function to allow templating
|
||||||
|
#tls:
|
||||||
|
# - secretName: grafana-tls
|
||||||
|
# hosts:
|
||||||
|
# - monitoring.example.com
|
||||||
|
|
||||||
|
|
||||||
# Adding regexes here will add a stage.replace block. For more information see
|
|
||||||
# https://grafana.com/docs/agent/latest/flow/reference/components/loki.process/#stagereplace-block
|
|
||||||
logs:
|
logs:
|
||||||
|
# Adding regexes here will add a stage.replace block for logs. For more information see
|
||||||
|
# https://grafana.com/docs/agent/latest/flow/reference/components/loki.process/#stagereplace-block
|
||||||
piiRegexes:
|
piiRegexes:
|
||||||
# This example replaces the word after password with *****
|
# This example replaces the word after password with *****
|
||||||
# - expression: "password (\\\\S+)"
|
# - expression: "password (\\\\S+)"
|
||||||
# source: "" # Empty uses the log message
|
# source: "" # Empty uses the log message
|
||||||
# replace: "*****""
|
# replace: "*****""
|
||||||
|
|
||||||
|
# The lines matching these will be kept in Loki
|
||||||
|
retain:
|
||||||
|
# This shows the queries
|
||||||
|
- caller=metrics.go
|
||||||
|
# This shows any errors
|
||||||
|
- level=error
|
||||||
|
# This shows the ingest requests and is very noisy. Uncomment to include.
|
||||||
|
# - caller=push.go
|
||||||
|
# Log lines for delete requests
|
||||||
|
- delete request for user added
|
||||||
|
- Started processing delete request
|
||||||
|
- delete request for user marked as processed
|
||||||
|
|
||||||
|
metrics:
|
||||||
|
# The list of metrics to retain for logging dashboards
|
||||||
|
retain:
|
||||||
|
- agent_config_last_load_success_timestamp_seconds
|
||||||
|
- agent_config_last_load_successful
|
||||||
|
- agent_config_load_failures_total
|
||||||
|
- container_cpu_usage_seconds_total
|
||||||
|
- container_fs_writes_bytes_total
|
||||||
|
- container_memory_working_set_bytes
|
||||||
|
- container_network_receive_bytes_total
|
||||||
|
- container_network_transmit_bytes_total
|
||||||
|
- container_spec_cpu_period
|
||||||
|
- container_spec_cpu_quota
|
||||||
|
- container_spec_memory_limit_bytes
|
||||||
|
- cortex_ingester_flush_queue_length
|
||||||
|
- cortex_prometheus_rule_group_iterations_total
|
||||||
|
- cortex_prometheus_rule_evaluation_failures_total
|
||||||
|
- cortex_prometheus_rule_group_rules
|
||||||
|
- cortex_prometheus_rule_group_last_duration_seconds
|
||||||
|
- cortex_prometheus_rule_group_last_evaluation_timestamp_seconds
|
||||||
|
- cortex_prometheus_rule_group_iterations_missed_total
|
||||||
|
- go_gc_duration_seconds
|
||||||
|
- go_goroutines
|
||||||
|
- go_memstats_heap_inuse_bytes
|
||||||
|
- kubelet_volume_stats_used_bytes
|
||||||
|
- kubelet_volume_stats_capacity_bytes
|
||||||
|
- kube_deployment_created
|
||||||
|
- kube_persistentvolumeclaim_labels
|
||||||
|
- kube_pod_container_info
|
||||||
|
- kube_pod_container_resource_requests
|
||||||
|
- kube_pod_container_status_last_terminated_reason
|
||||||
|
- kube_pod_container_status_restarts_total
|
||||||
|
- loki_boltdb_shipper_compact_tables_operation_duration_seconds
|
||||||
|
- loki_boltdb_shipper_compact_tables_operation_last_successful_run_timestamp_seconds
|
||||||
|
- loki_boltdb_shipper_retention_marker_count_total
|
||||||
|
- loki_boltdb_shipper_retention_marker_table_processed_duration_seconds_bucket
|
||||||
|
- loki_boltdb_shipper_retention_marker_table_processed_duration_seconds_count
|
||||||
|
- loki_boltdb_shipper_retention_marker_table_processed_duration_seconds_sum
|
||||||
|
- loki_boltdb_shipper_retention_marker_table_processed_total
|
||||||
|
- loki_boltdb_shipper_request_duration_seconds_bucket
|
||||||
|
- loki_boltdb_shipper_request_duration_seconds_count
|
||||||
|
- loki_boltdb_shipper_request_duration_seconds_sum
|
||||||
|
- loki_boltdb_shipper_retention_sweeper_chunk_deleted_duration_seconds_bucket
|
||||||
|
- loki_boltdb_shipper_retention_sweeper_chunk_deleted_duration_seconds_count
|
||||||
|
- loki_boltdb_shipper_retention_sweeper_chunk_deleted_duration_seconds_sum
|
||||||
|
- loki_boltdb_shipper_retention_sweeper_marker_files_current
|
||||||
|
- loki_boltdb_shipper_retention_sweeper_marker_file_processing_current_time
|
||||||
|
- loki_build_info
|
||||||
|
- loki_chunk_store_deduped_chunks_total
|
||||||
|
- loki_chunk_store_index_entries_per_chunk_bucket
|
||||||
|
- loki_chunk_store_index_entries_per_chunk_count
|
||||||
|
- loki_chunk_store_index_entries_per_chunk_sum
|
||||||
|
- loki_compactor_delete_requests_processed_total
|
||||||
|
- loki_compactor_delete_requests_received_total
|
||||||
|
- loki_compactor_deleted_lines
|
||||||
|
- loki_compactor_oldest_pending_delete_request_age_seconds
|
||||||
|
- loki_compactor_pending_delete_requests_count
|
||||||
|
- loki_discarded_samples_total
|
||||||
|
- loki_distributor_bytes_received_total
|
||||||
|
- loki_distributor_lines_received_total
|
||||||
|
- loki_distributor_structured_metadata_bytes_received_total
|
||||||
|
- loki_index_request_duration_seconds_count
|
||||||
|
- loki_ingester_chunk_age_seconds_bucket
|
||||||
|
- loki_ingester_chunk_age_seconds_count
|
||||||
|
- loki_ingester_chunk_age_seconds_sum
|
||||||
|
- loki_ingester_chunk_bounds_hours_bucket
|
||||||
|
- loki_ingester_chunk_bounds_hours_count
|
||||||
|
- loki_ingester_chunk_bounds_hours_sum
|
||||||
|
- loki_ingester_chunk_entries_bucket
|
||||||
|
- loki_ingester_chunk_entries_count
|
||||||
|
- loki_ingester_chunk_entries_sum
|
||||||
|
- loki_ingester_chunk_size_bytes_bucket
|
||||||
|
- loki_ingester_chunk_utilization_bucket
|
||||||
|
- loki_ingester_chunk_utilization_sum
|
||||||
|
- loki_ingester_chunks_flushed_total
|
||||||
|
- loki_ingester_flush_queue_length
|
||||||
|
- loki_ingester_memory_chunks
|
||||||
|
- loki_ingester_memory_streams
|
||||||
|
- loki_ingester_streams_created_total
|
||||||
|
- loki_request_duration_seconds_bucket
|
||||||
|
- loki_request_duration_seconds_count
|
||||||
|
- loki_request_duration_seconds_sum
|
||||||
|
- loki_ruler_wal_appender_ready
|
||||||
|
- loki_ruler_wal_disk_size
|
||||||
|
- loki_ruler_wal_prometheus_remote_storage_highest_timestamp_in_seconds
|
||||||
|
- loki_ruler_wal_prometheus_remote_storage_queue_highest_sent_timestamp_seconds
|
||||||
|
- loki_ruler_wal_prometheus_remote_storage_samples_pending
|
||||||
|
- loki_ruler_wal_prometheus_remote_storage_samples_total
|
||||||
|
- loki_ruler_wal_samples_appended_total
|
||||||
|
- loki_ruler_wal_storage_created_series_total
|
||||||
|
- loki_write_batch_retries_total
|
||||||
|
- loki_write_dropped_bytes_total
|
||||||
|
- loki_write_dropped_entries_total
|
||||||
|
- loki_write_sent_bytes_total
|
||||||
|
- loki_write_sent_entries_total
|
||||||
|
- node_disk_read_bytes_total
|
||||||
|
- node_disk_written_bytes_total
|
||||||
|
- promtail_custom_bad_words_total
|
||||||
|
|
||||||
# Set enabled = true to add the default logs/metrics/traces dashboards to the local Grafana
|
# Set enabled = true to add the default logs/metrics/traces dashboards to the local Grafana
|
||||||
dashboards:
|
dashboards:
|
||||||
logs:
|
logs:
|
||||||
@@ -63,21 +199,44 @@ kubeStateMetrics:
|
|||||||
endpoint: kube-state-metrics.kube-state-metrics.svc.cluster.local:8080
|
endpoint: kube-state-metrics.kube-state-metrics.svc.cluster.local:8080
|
||||||
|
|
||||||
# The following are configuration for the dependencies.
|
# The following are configuration for the dependencies.
|
||||||
# These should not be changed.
|
# These should usually not be changed.
|
||||||
|
|
||||||
loki:
|
loki:
|
||||||
loki:
|
loki:
|
||||||
auth_enabled: false
|
auth_enabled: false
|
||||||
|
schemaConfig:
|
||||||
|
configs:
|
||||||
|
- from: 2024-03-29
|
||||||
|
store: tsdb
|
||||||
|
object_store: s3
|
||||||
|
schema: v13
|
||||||
|
index:
|
||||||
|
prefix: index_
|
||||||
|
period: 24h
|
||||||
storage:
|
storage:
|
||||||
type: "s3"
|
type: "s3"
|
||||||
s3:
|
s3:
|
||||||
endpoint: "meta-minio.meta.svc:9000"
|
|
||||||
access_key_id: rootuser
|
|
||||||
secret_access_key: rootpassword
|
|
||||||
insecure: true
|
insecure: true
|
||||||
|
s3ForcePathStyle: true
|
||||||
bucketNames:
|
bucketNames:
|
||||||
chunks: loki-chunks
|
chunks: loki-chunks
|
||||||
ruler: loki-ruler
|
ruler: loki-ruler
|
||||||
|
structuredConfig:
|
||||||
|
common:
|
||||||
|
storage:
|
||||||
|
s3:
|
||||||
|
access_key_id: "{{ .Values.global.minio.rootUser }}"
|
||||||
|
endpoint: "{{ .Release.Name }}-minio.{{ .Release.Namespace }}.svc:9000"
|
||||||
|
secret_access_key: "{{ .Values.global.minio.rootPassword }}"
|
||||||
|
compactor:
|
||||||
|
retention_enabled: true
|
||||||
|
delete_request_store: s3
|
||||||
|
limits_config:
|
||||||
|
retention_period: 30d
|
||||||
|
lokiCanary:
|
||||||
|
enabled: false
|
||||||
|
test:
|
||||||
|
enabled: false
|
||||||
monitoring:
|
monitoring:
|
||||||
dashboards:
|
dashboards:
|
||||||
enabled: false
|
enabled: false
|
||||||
@@ -94,12 +253,28 @@ loki:
|
|||||||
test:
|
test:
|
||||||
enabled: false
|
enabled: false
|
||||||
|
|
||||||
grafana-agent:
|
alloy:
|
||||||
agent:
|
alloy:
|
||||||
|
clustering:
|
||||||
|
enabled: true
|
||||||
configMap:
|
configMap:
|
||||||
create: false
|
create: false
|
||||||
name: "agent-configmap"
|
name: "agent-configmap"
|
||||||
key: 'config.river'
|
key: 'config.river'
|
||||||
|
resources:
|
||||||
|
requests:
|
||||||
|
cpu: '1000m'
|
||||||
|
memory: '600Mi'
|
||||||
|
limits:
|
||||||
|
memory: '4Gi'
|
||||||
|
controller:
|
||||||
|
type: "statefulset"
|
||||||
|
autoscaling:
|
||||||
|
enabled: true
|
||||||
|
minReplicas: 3
|
||||||
|
maxReplicas: 30
|
||||||
|
targetMemoryUtilizationPercentage: 90
|
||||||
|
targetCPUUtilizationPercentage: 90
|
||||||
|
|
||||||
mimir-distributed:
|
mimir-distributed:
|
||||||
minio:
|
minio:
|
||||||
@@ -128,6 +303,8 @@ mimir-distributed:
|
|||||||
endpoint: "{{ .Release.Name }}-minio.{{ .Release.Namespace }}.svc:9000"
|
endpoint: "{{ .Release.Name }}-minio.{{ .Release.Namespace }}.svc:9000"
|
||||||
secret_access_key: "{{ .Values.global.minio.rootPassword }}"
|
secret_access_key: "{{ .Values.global.minio.rootPassword }}"
|
||||||
insecure: true
|
insecure: true
|
||||||
|
limits:
|
||||||
|
compactor_blocks_retention_period: 30d
|
||||||
|
|
||||||
tempo-distributed:
|
tempo-distributed:
|
||||||
tempo:
|
tempo:
|
||||||
@@ -141,6 +318,9 @@ tempo-distributed:
|
|||||||
access_key: "{{ .Values.global.minio.rootUser }}"
|
access_key: "{{ .Values.global.minio.rootUser }}"
|
||||||
secret_key: "{{ .Values.global.minio.rootPassword }}"
|
secret_key: "{{ .Values.global.minio.rootPassword }}"
|
||||||
insecure: true
|
insecure: true
|
||||||
|
compactor:
|
||||||
|
compaction:
|
||||||
|
block_retention: 30d
|
||||||
traces:
|
traces:
|
||||||
otlp:
|
otlp:
|
||||||
http:
|
http:
|
||||||
@@ -175,4 +355,4 @@ minio:
|
|||||||
cpu: 100m
|
cpu: 100m
|
||||||
memory: 128Mi
|
memory: 128Mi
|
||||||
# Changed the mc config path to '/tmp' from '/etc' as '/etc' is only writable by root and OpenShift will not permit this.
|
# Changed the mc config path to '/tmp' from '/etc' as '/etc' is only writable by root and OpenShift will not permit this.
|
||||||
configPathmc: "/tmp/minio/mc/"
|
configPathmc: "/tmp/minio/mc/"
|
||||||
|
10
docs/create_new_release.md
Normal file
10
docs/create_new_release.md
Normal file
@@ -0,0 +1,10 @@
|
|||||||
|
# Create a new release
|
||||||
|
|
||||||
|
1. Update the version field in charts/meta-monitoring/Chart.yaml in a new PR. Merge this PR if approved.
|
||||||
|
|
||||||
|
2. On the [Actions tab](https://github.com/grafana/meta-monitoring-chart/actions):
|
||||||
|
- Select `Release Helm chart` in the workflows on the left
|
||||||
|
- Click the `Run workflow` button
|
||||||
|
- Leave the `main` branch as is
|
||||||
|
- Click the green `Run workflow` button
|
||||||
|
|
@@ -1,27 +1,166 @@
|
|||||||
# Install this chart
|
# Install this chart
|
||||||
|
|
||||||
|
## Preparation for Cloud mode (preferred)
|
||||||
|
|
||||||
|
1. Use an existing Grafana Cloud account or setup a new one. Then create an access token:
|
||||||
|
|
||||||
|
1. In Grafana go to Administration -> Users and Access -> Cloud access policies.
|
||||||
|
|
||||||
|
1. Click `Create access policy`.
|
||||||
|
|
||||||
|
1. Fill in the `Display name` field and check the `Write` check box for metrics, logs and traces. Then click `Create`.
|
||||||
|
|
||||||
|
1. On the newly created access policy click `Add token`.
|
||||||
|
|
||||||
|
1. Fill in the `Token name` field and click `Create`. Make a copy of the token as it will be used later on.
|
||||||
|
|
||||||
1. Create the meta namespace
|
1. Create the meta namespace
|
||||||
|
|
||||||
```
|
```
|
||||||
kubectl create namespace meta
|
kubectl create namespace meta
|
||||||
```
|
```
|
||||||
|
|
||||||
1. Create a values.yaml file based on the [default one](../charts/meta-monitoring/values.yaml).
|
1. Create secrets with credentials and the endpoint when sending logs, metrics or traces to Grafana Cloud.
|
||||||
|
|
||||||
|
```
|
||||||
|
kubectl create secret generic logs -n meta \
|
||||||
|
--from-literal=username=<logs username> \
|
||||||
|
--from-literal=password=<token>
|
||||||
|
--from-literal=endpoint='https://logs-prod-us-central1.grafana.net/loki/api/v1/push'
|
||||||
|
|
||||||
|
kubectl create secret generic metrics -n meta \
|
||||||
|
--from-literal=username=<metrics username> \
|
||||||
|
--from-literal=password=<token>
|
||||||
|
--from-literal=endpoint='https://prometheus-us-central1.grafana.net/api/prom/push'
|
||||||
|
|
||||||
|
kubectl create secret generic traces -n meta \
|
||||||
|
--from-literal=username=<traces username> \
|
||||||
|
--from-literal=password=<token>
|
||||||
|
--from-literal=endpoint='https://tempo-us-central1.grafana.net/tempo'
|
||||||
|
```
|
||||||
|
|
||||||
|
The logs, metrics and traces usernames are the `User / Username / Instance IDs` of the Loki, Prometheus/Mimir and Tempo instances in Grafana Cloud. From `Home` in Grafana click on `Stacks`. Then go to the `Details` pages of Loki, Prometheus/Mimir and Tempo.
|
||||||
|
|
||||||
|
1. Create a values.yaml file based on the [default one](../charts/meta-monitoring/values.yaml). Fill in the names of the secrets created above as needed. An example minimal values.yaml looks like this:
|
||||||
|
|
||||||
|
```
|
||||||
|
namespacesToMonitor:
|
||||||
|
- loki
|
||||||
|
|
||||||
|
cloud:
|
||||||
|
logs:
|
||||||
|
enabled: true
|
||||||
|
secret: "logs"
|
||||||
|
metrics:
|
||||||
|
enabled: true
|
||||||
|
secret: "metrics"
|
||||||
|
traces:
|
||||||
|
enabled: true
|
||||||
|
secret: "traces"
|
||||||
|
```
|
||||||
|
|
||||||
|
## Preparation for Local mode
|
||||||
|
|
||||||
|
1. Create the meta namespace
|
||||||
|
|
||||||
|
```
|
||||||
|
kubectl create namespace meta
|
||||||
|
```
|
||||||
|
|
||||||
|
1. Create a values.yaml file based on the [default one](../charts/meta-monitoring/values.yaml). An example minimal values.yaml looks like this:
|
||||||
|
|
||||||
|
```
|
||||||
|
namespacesToMonitor:
|
||||||
|
- loki
|
||||||
|
|
||||||
|
cloud:
|
||||||
|
logs:
|
||||||
|
enabled: false
|
||||||
|
metrics:
|
||||||
|
enabled: false
|
||||||
|
traces:
|
||||||
|
enabled: false
|
||||||
|
|
||||||
|
local:
|
||||||
|
grafana:
|
||||||
|
enabled:true
|
||||||
|
logs:
|
||||||
|
enabled: true
|
||||||
|
metrics:
|
||||||
|
enabled: true
|
||||||
|
traces:
|
||||||
|
enabled: true
|
||||||
|
minio:
|
||||||
|
enabled: true
|
||||||
|
```
|
||||||
|
|
||||||
|
## Installing the chart
|
||||||
|
|
||||||
|
1. Add the repo
|
||||||
|
|
||||||
|
```
|
||||||
|
helm repo add grafana https://grafana.github.io/helm-charts
|
||||||
|
```
|
||||||
|
|
||||||
|
1. Fetch the latest charts from the grafana repo
|
||||||
|
|
||||||
|
```
|
||||||
|
helm repo update grafana
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
1. Install this helm chart
|
1. Install this helm chart
|
||||||
|
|
||||||
```
|
```
|
||||||
helm install -n meta -f values.yaml meta ./charts/meta-monitoring
|
helm install -n meta -f values.yaml meta grafana/meta-monitoring
|
||||||
```
|
```
|
||||||
|
|
||||||
1. Upgrade
|
1. Upgrade
|
||||||
|
|
||||||
```
|
```
|
||||||
helm upgrade --install -f values.yaml -n meta meta ./charts/meta-monitoring
|
helm upgrade --install -f values.yaml -n meta meta grafana/meta-monitoring
|
||||||
```
|
```
|
||||||
|
|
||||||
1. Delete this chart:
|
1. Delete this chart:
|
||||||
|
|
||||||
```
|
```
|
||||||
helm delete -n meta meta
|
helm delete -n meta meta
|
||||||
```
|
```
|
||||||
|
|
||||||
|
## Installing the dashboards and rules on Grafana Cloud
|
||||||
|
|
||||||
|
## Installing the dashboards on Grafana Cloud
|
||||||
|
|
||||||
|
Only the files for the application monitored have to be copied. When monitoring Loki import dashboard files starting with 'loki-'.
|
||||||
|
|
||||||
|
For each of the dashboard files in charts/meta-monitoring/src/dashboards folder do the following:
|
||||||
|
|
||||||
|
1. Click on 'Dashboards' in Grafana
|
||||||
|
|
||||||
|
1. Click on the 'New` button and select 'Import'
|
||||||
|
|
||||||
|
1. Drop the dashboard file to the 'Upload dashboard JSON file' drop area
|
||||||
|
|
||||||
|
1. Click 'Import'
|
||||||
|
|
||||||
|
## Installing the rules on Grafana Cloud
|
||||||
|
|
||||||
|
1. Select the rules files in charts/meta-monitoring/src/rules for the application to monitor. When monitoring Loki use loki-rules.yaml.
|
||||||
|
|
||||||
|
1. Install mimirtool as per the [instructions](https://grafana.com/docs/mimir/latest/manage/tools/mimirtool/)
|
||||||
|
|
||||||
|
1. Create an access policy with Read and Write permission for Rules. Also create a token and record the token.
|
||||||
|
|
||||||
|
1. Get your cloud Prometheus endpoint and Instance ID from the `Prometheus` page in `Stacks`.
|
||||||
|
|
||||||
|
1. Use them to load the rules using mimirtool as follows:
|
||||||
|
|
||||||
|
```
|
||||||
|
mimirtool rules load --address=<your_cloud_prometheus_endpoint> --id=<your_instance_id> --key=<your_cloud_access_policy_token> *.yaml
|
||||||
|
```
|
||||||
|
|
||||||
|
1. To check the rules you have uploaded run:
|
||||||
|
|
||||||
|
```
|
||||||
|
mimirtool rules print --address=<your_cloud_prometheus_endpoint> --id=<your_instance_id> --key=<your_cloud_access_policy_token>
|
||||||
|
```
|
20
scripts/clone_loki_mixin.sh
Executable file
20
scripts/clone_loki_mixin.sh
Executable file
@@ -0,0 +1,20 @@
|
|||||||
|
#!/usr/bin/env bash
|
||||||
|
|
||||||
|
clean_up() {
|
||||||
|
test -d "$tmp_dir" && rm -fr "$tmp_dir"
|
||||||
|
}
|
||||||
|
|
||||||
|
here=${PWD}
|
||||||
|
|
||||||
|
tmp_dir=$( mktemp -d -t my-script )
|
||||||
|
cd $tmp_dir
|
||||||
|
|
||||||
|
echo "Cloning Loki"
|
||||||
|
git clone --filter=blob:none --no-checkout "https://github.com/grafana/loki"
|
||||||
|
cd loki
|
||||||
|
git sparse-checkout init --cone
|
||||||
|
git checkout main
|
||||||
|
git sparse-checkout set production/loki-mixin
|
||||||
|
|
||||||
|
echo "Copying production/loki-mixin to ${here}"
|
||||||
|
cp -r production ${here}
|
18
scripts/mixin-meta-monitoring.libsonnet
Normal file
18
scripts/mixin-meta-monitoring.libsonnet
Normal file
@@ -0,0 +1,18 @@
|
|||||||
|
(import 'dashboards.libsonnet') +
|
||||||
|
(import 'alerts.libsonnet') +
|
||||||
|
(import 'recording_rules.libsonnet') + {
|
||||||
|
grafanaDashboardFolder: 'Loki Meta Monitoring',
|
||||||
|
|
||||||
|
_config+:: {
|
||||||
|
internal_components: false,
|
||||||
|
|
||||||
|
// The Meta Monitoring helm chart uses Grafana Alloy instead of promtail
|
||||||
|
promtail+: {
|
||||||
|
enabled: false,
|
||||||
|
},
|
||||||
|
|
||||||
|
meta_monitoring+: {
|
||||||
|
enabled: true,
|
||||||
|
},
|
||||||
|
},
|
||||||
|
}
|
9
tools/kind.config
Normal file
9
tools/kind.config
Normal file
@@ -0,0 +1,9 @@
|
|||||||
|
kind: Cluster
|
||||||
|
apiVersion: kind.x-k8s.io/v1alpha4
|
||||||
|
name: meta
|
||||||
|
nodes:
|
||||||
|
- role: control-plane
|
||||||
|
- role: worker
|
||||||
|
- role: worker
|
||||||
|
- role: worker
|
||||||
|
|
Reference in New Issue
Block a user