mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-11 14:53:49 +00:00
deb2f87074
The panel and alerting rule should help to understand whether VM
component doesn't have enough CPU resources or gets throttled. The alert
is applicable for all VM components.
The panel was added to vmalert, vmagent, vmsingle, vm clusert and
victorialogs dashes.
-------------------
This alerting rule should have help us identify resource shortage for
sandbox vmagent - see [this
link](https://play.victoriametrics.com/select/accounting/1/6a716b0f-38bc-4856-90ce-448fd713e3fe/prometheus/graph/#/?g0.range_input=23d13h25m25s424ms&g0.end_input=2024-09-23T14%3A11%3A00&g0.relative_time=none&g0.tab=0&g0.expr=histogram_quantile%280.99%2C+sum%28rate%28go_sched_latencies_seconds_bucket%7Bjob%3D%22vmagent-monitoring-vmagent%22%7D%5B5m%5D%29%29+by+%28le%2C+job%2C+instance%29%29+%3E+0.1)
for example. We weren't aware of resource shortage, because VM metrics
assumed this vmagent had 1vCPU while in fact its limit was 0.2vCPU.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 4d0b41e63b)
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296 KiB
JSON
9899 lines
No EOL
296 KiB
JSON
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"description": "How many [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) are in storage",
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"title": "Total datapoints",
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"uid": "$ds"
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},
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"description": "Shows the datapoints ingestion rate, including replication factor.",
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"range": false,
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"title": "Ingestion rate",
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},
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"exemplar": true,
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"expr": "sum(rate(vm_http_requests_total{job=~\"$job\", instance=~\"$instance\", path=~\"/select/.*\"}[$__rate_interval]))",
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"format": "time_series",
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"refId": "A"
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"title": "Read requests",
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{
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"datasource": {
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"type": "victoriametrics-datasource",
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"uid": "$ds"
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"description": "Shows the number of [active time series](https://docs.victoriametrics.com/faq/#what-is-an-active-time-series) with new data points inserted during the last hour. High value may result in ingestion slowdown.",
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"unit": "bytes"
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"id": 170,
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"instant": true,
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}
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],
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"title": "Non-default flags",
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{
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"expr": "quantile(0.5,\n max_over_time(process_resident_memory_bytes{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])\n /\n vm_available_memory_bytes{job=~\"$job_storage\", instance=~\"$instance\"}\n)",
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}
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],
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"title": "Memory usage % ($instance)",
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},
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"datasource": {
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"type": "victoriametrics-datasource",
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"uid": "$ds"
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},
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"description": "Shows how many ongoing insertions (not API /write calls) on disk are taking place, where:\n* `max` - equal to number of CPUs;\n* `current` - current number of goroutines busy with inserting rows into underlying storage.\n\nEvery successful API /write call results into flush on disk. The `max` is an internal limit and can't be changed. It is always equal to the number of CPUs. \n\nWhen `current` hits `max` constantly, it means storage is overloaded and requires more CPU (see CPU usage) or disks with more IOPS (see disk writes and reads panels in Resource Usage row).",
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"title": "Related discussion",
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"sort": "desc"
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"targets": [
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"uid": "$ds"
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},
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"editorMode": "code",
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"expr": "max(\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) /\n (\n sum(vm_free_disk_space_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) +\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)\n ) \n)",
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{
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"type": "victoriametrics-datasource",
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"uid": "$ds"
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"editorMode": "code",
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"expr": "min(\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) /\n (\n sum(vm_free_disk_space_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) +\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)\n ) \n)",
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"format": "time_series",
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"hide": false,
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"intervalFactor": 1,
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"legendFormat": "min",
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"range": true,
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"refId": "B"
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},
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{
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"type": "victoriametrics-datasource",
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"uid": "$ds"
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},
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"editorMode": "code",
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"expr": "quantile(0.5,\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) /\n (\n sum(vm_free_disk_space_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) +\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)\n ) \n)",
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"hide": false,
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"intervalFactor": 1,
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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"title": "Disk space usage % ($instance)",
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"type": "timeseries"
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},
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{
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"datasource": {
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"type": "victoriametrics-datasource",
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"uid": "$ds"
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},
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"description": "The max number of data parts of LSM tree across all storage nodes.\nHigh number of parts (the hard limit is 512) is an evidence of slow merge performance - check the resource utilization.\n* `indexdb` - inverted index\n* `storage/small` - recently added parts of data ingested into storage (hot data)\n* `storage/big` - small parts gradually merged into big parts (cold data)",
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"group": "A",
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"mode": "none"
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"mode": "off"
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}
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"links": [],
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"min": 0,
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"color": "green"
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{
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"color": "red",
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"value": 80
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"w": 12,
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"x": 12,
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"y": 45
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},
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"id": 22,
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"mean",
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"lastNotNull",
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"max"
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"uid": "$ds"
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},
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"editorMode": "code",
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"expr": "max(vm_parts{job=~\"$job_storage\", instance=~\"$instance\"}) by(type)",
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"format": "time_series",
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"interval": "",
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"intervalFactor": 1,
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"legendFormat": "__auto",
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"range": true,
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}
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],
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"title": "LSM parts max by type ($instance)",
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"type": "timeseries"
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},
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{
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"datasource": {
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"type": "victoriametrics-datasource",
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"uid": "$ds"
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},
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"description": "Shows the percentage of used disk space by type: datapoints or indexdb. Normally, indexdb takes much less space comparing to datapoints. But with high [churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate) the size of the indexdb could grow significantly.\n\nThe sum of the % can be > 100% since panel shows max % per-job and per-instance. It means different instance can have different ratio between datapoints and indexdb size.",
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{
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"targetBlank": true,
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"title": "Drilldown",
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"url": "/d/oS7Bi_0Wz_vm?viewPanel=201&var-ds=$ds&var-instance=$instance&${__url_time_range}"
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}
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},
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"editorMode": "code",
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"expr": "max(\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\", type=~\"indexdb.*\"}) by(job, instance)\n / \n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)\n)",
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"format": "time_series",
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{
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},
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"editorMode": "code",
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"expr": "max(\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\", type!~\"indexdb.*\"}) by(job, instance)\n / \n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)\n)",
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"format": "time_series",
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"range": true,
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"refId": "B"
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}
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"type": "timeseries"
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{
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"uid": "$ds"
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},
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"description": "How many datapoints are in RAM queue waiting to be written into storage. The number of pending data points should be in the range from 0 to `2*<ingestion_rate>`, since VictoriaMetrics pushes pending data to persistent storage every second. The index datapoints value in general is much lower.",
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{
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},
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"editorMode": "code",
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"expr": "sum(max_over_time(vm_pending_rows{job=~\"$job_storage\", instance=~\"$instance\", type=\"storage\"}[$__rate_interval]))",
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"editorMode": "code",
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"expr": "sum(max_over_time(vm_pending_rows{job=~\"$job_storage\", instance=~\"$instance\", type=\"indexdb\"}[$__rate_interval]))",
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"format": "time_series",
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"hide": false,
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"legendFormat": "pending index entries",
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"range": true,
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"refId": "B"
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}
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],
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"title": "Pending datapoints ($instance)",
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{
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"type": "victoriametrics-datasource",
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"uid": "$ds"
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},
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"description": "Shows network usage by vmstorage services.\n* Writes show traffic sent to clients.\n* Reads show traffic received from clients.",
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{
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{
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"title": "Network usage ($instance)",
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{
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