mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-23 20:37:12 +01:00
eff940aa76
* vmalert: remove `vmalert_execution_duration_seconds` metric The summary for `vmalert_execution_duration_seconds` metric gives no additional value comparing to `vmalert_iteration_duration_seconds` metric. * vmalert: update config reload success metric properly Previously, if there was unsuccessfull attempt to reload config and then rollback to previous version - the metric remained set to 0. * vmalert: add Grafana dashboard to overview application metrics * docker: include vmalert target into list for scraping * vmalert: extend notifier metrics with addr label The change adds an `addr` label to metrics for alerts_sent and alerts_send_errors to identify which exact address is having issues. The according change was made to vmalert dashboard. * vmalert: update documentation and docker environment for vmalert's dashboard Mention Grafana's dashboard in vmalert's README in a new section #Monitoring. Update docker-compose env to automatically add vmalert's dashboard. Update docker-compose README with additional info about services.
2300 lines
59 KiB
JSON
2300 lines
59 KiB
JSON
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{
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"expr": "sum(vmalert_alerts_pending{job=~\"$job\", instance=~\"$instance\", group=~\"$group\"}) by(group, alertname) > 0",
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"datasource": "$ds",
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"description": "Shows how many alerts are sent to Alertmanager per second. Only active alerts are sent.",
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"datasource": "$ds",
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"description": "Shows the error rate for the attempts to send alerts to Alertmanager. If not zero it means there issues on attempt to send notification to Alertmanager and some alerts may be not delivered properly. Check the logs for more details.",
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"interval": "",
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}
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],
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"title": "Alerting rules ($instance)",
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"type": "row"
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},
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"datasource": "$ds",
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"description": "Shows the top 10 recording rules which generate the most of samples. Each generated sample is basically a time series which then ingested into configured remote storage. Rules with high numbers may cause the most pressure on the remote database and become a source of too high cardinality.",
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"fill": 0,
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}
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},
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{
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"datasource": "$ds",
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"description": "Shows the rules which do not produce any samples during the evaluation. Usually it means that such rules are misconfigured, since they give no output during the evaluation.\nPlease check if rule's expression is correct and it is working as expected.",
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"fieldConfig": {
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"defaults": {
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"mode": "palette-classic"
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},
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"axisPlacement": "auto",
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"barAlignment": 0,
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"drawStyle": "line",
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},
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},
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"color": "red",
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"value": 80
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]
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"max",
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],
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"displayMode": "table",
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"placement": "bottom"
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"mode": "single"
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}
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],
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"title": "Rules with 0 produced samples ($group)",
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"type": "timeseries"
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},
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{
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},
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"hiddenSeries": false,
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"id": 30,
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}
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],
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}
|
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],
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"alignLevel": null
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}
|
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}
|
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],
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"title": "Recording rules ($instance)",
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"type": "row"
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},
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{
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},
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"id": 43,
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"datasource": "$ds",
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"description": "Shows the CPU usage per vmalert instance. \nIf you think that usage is abnormal or unexpected pls file an issue and attach CPU profile if possible.",
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"fieldConfig": {
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"defaults": {
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"links": []
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},
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},
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"id": 35,
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"avg": true,
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"current": true,
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"min": false,
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"show": true,
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"sort": "current",
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"total": false,
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"values": true
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},
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"lines": true,
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"linewidth": 1,
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"links": [
|
|
{
|
|
"targetBlank": true,
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|
"title": "Profiling",
|
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"url": "https://docs.victoriametrics.com/vmagent.html#profiling"
|
|
}
|
|
],
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"nullPointMode": "null",
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"options": {
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"alertThreshold": true
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},
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"percentage": false,
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