Michel Hollands db493fbb39 Add Mimir dashboards
Signed-off-by: Michel Hollands <michel.hollands@gmail.com>
2023-07-27 15:35:34 +01:00

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"content": "<p>\n This dashboard shows health metrics for the ruler read path when remote operational mode is enabled.\n It is broken into sections for each service on the ruler read path, and organized by the order in which the read request flows.\n <br/>\n For each service, there are three panels showing (1) requests per second to that service, (2) average, median, and p99 latency of requests to that service, and (3) p99 latency of requests to each instance of that service.\n</p>\n",
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"datasource": "$datasource",
"description": "### Scaling metric\nThis panel shows the result of the query that is used as the scaling metric, and the target and threshold used.\nThe desired number of replicas is computed by HPA as: <scaling metric> / <target per replica>.\n\n",
"fill": 1,
"id": 12,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"links": [ ],
"nullPointMode": "null as zero",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "Target per replica",
"yaxis": 2
}
],
"spaceLength": 10,
"span": 4,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "keda_metrics_adapter_scaler_metrics_value +\non(metric) group_left\nlabel_replace(\n kube_horizontalpodautoscaler_spec_target_metric{cluster=~\"$cluster\", namespace=~\"$namespace\", horizontalpodautoscaler=~\"keda-hpa-ruler-querier\"}\n * 0, \"metric\", \"$1\", \"metric_name\", \"(.+)\"\n)\n",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "Scaling metric",
"legendLink": null
},
{
"expr": "kube_horizontalpodautoscaler_spec_target_metric{cluster=~\"$cluster\", namespace=~\"$namespace\", horizontalpodautoscaler=\"keda-hpa-ruler-querier\"}",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "Target per replica",
"legendLink": null
}
],
"thresholds": [ ],
"timeFrom": null,
"timeShift": null,
"title": "Scaling metric",
"tooltip": {
"shared": false,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": [ ]
},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": { },
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "$datasource",
"description": "### Autoscaler failures rate\nThe rate of failures in the KEDA custom metrics API server. Whenever an error occurs, the KEDA custom\nmetrics server is unable to query the scaling metric from Prometheus so the autoscaler does not work properly.\n\n",
"fill": 1,
"id": 13,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"links": [ ],
"nullPointMode": "null as zero",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [ ],
"spaceLength": 10,
"span": 4,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "sum by(metric) (rate(keda_metrics_adapter_scaler_errors[$__rate_interval])) +\non(metric) group_left\nlabel_replace(\n kube_horizontalpodautoscaler_spec_target_metric{cluster=~\"$cluster\", namespace=~\"$namespace\", horizontalpodautoscaler=~\"keda-hpa-ruler-querier\"}\n * 0, \"metric\", \"$1\", \"metric_name\", \"(.+)\"\n)\n",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "{{metric}} failures",
"legendLink": null
}
],
"thresholds": [ ],
"timeFrom": null,
"timeShift": null,
"title": "Autoscaler failures rate",
"tooltip": {
"shared": false,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": [ ]
},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": false
}
]
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": true,
"title": "Querier (dedicated to ruler) - autoscaling",
"titleSize": "h6"
}
],
"schemaVersion": 14,
"style": "dark",
"tags": [
"mimir"
],
"templating": {
"list": [
{
"current": {
"text": "default",
"value": "default"
},
"hide": 0,
"label": "Data Source",
"name": "datasource",
"options": [ ],
"query": "prometheus",
"refresh": 1,
"regex": "",
"type": "datasource"
},
{
"allValue": ".+",
"current": {
"selected": true,
"text": "All",
"value": "$__all"
},
"datasource": "$datasource",
"hide": 0,
"includeAll": true,
"label": "cluster",
"multi": true,
"name": "cluster",
"options": [ ],
"query": "label_values(cortex_build_info, cluster)",
"refresh": 1,
"regex": "",
"sort": 1,
"tagValuesQuery": "",
"tags": [ ],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": ".+",
"current": {
"selected": true,
"text": "All",
"value": "$__all"
},
"datasource": "$datasource",
"hide": 0,
"includeAll": true,
"label": "namespace",
"multi": true,
"name": "namespace",
"options": [ ],
"query": "label_values(cortex_build_info{cluster=~\"$cluster\"}, namespace)",
"refresh": 1,
"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": "Mimir / Remote ruler reads",
"uid": "f103238f7f5ab2f1345ce650cbfbfe2f",
"version": 0
}