VictoriaMetrics/dashboards/victoriametrics.json
Roman Khavronenko ea86716d06
dashboards: add row Caches to single node dasbhoard (#2208)
The new row Caches adds more visibility for cache utilization by VM.
It replaces the old `Cache size` panel.

Signed-off-by: hagen1778 <roman@victoriametrics.com>
2022-02-18 13:40:19 +02:00

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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. However, these two actions are separated and controlled via different concurrency limiters. The `max` on this panel can't be changed and always equal to number of CPUs. \n\nWhen `current` hits `max` constantly, it means storage is overloaded and requires more CPU.\n\n",
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"w": 12,
"x": 0,
"y": 22
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"hiddenSeries": false,
"id": 59,
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"avg": true,
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"hideEmpty": false,
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"show": true,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
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"lines": true,
"linewidth": 1,
"links": [],
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"pointradius": 2,
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"color": "#C4162A"
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],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
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"interval": "",
"intervalFactor": 1,
"legendFormat": "max",
"refId": "A"
},
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"format": "time_series",
"intervalFactor": 1,
"legendFormat": "current",
"refId": "B"
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],
"thresholds": [],
"timeRegions": [],
"title": "Concurrent flushes on disk ($instance)",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
"type": "graph",
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"mode": "time",
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"x": 0,
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"id": 92,
"panels": [
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"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
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"uid": "$ds"
},
"description": "VictoriaMetrics stores various caches in RAM. Memory size for these caches may be limited with -`memory.allowedPercent` flag. Line `max allowed` shows max allowed memory size for cache.",
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"fillGradient": 0,
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"w": 24,
"x": 0,
"y": 31
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"id": 94,
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"color": "#F2495C",
"fill": 0,
"stack": false
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"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"exemplar": true,
"expr": "sum(vm_cache_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(type)",
"interval": "",
"legendFormat": "{{type}}",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"exemplar": false,
"expr": "sum(vm_allowed_memory_bytes{job=~\"$job\", instance=~\"$instance\"})",
"hide": false,
"interval": "",
"legendFormat": "max allowed",
"refId": "B"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Cache size ($instance)",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
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"type": "graph",
"xaxis": {
"mode": "time",
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"dashes": false,
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"description": "Cache hit ratio shows cache efficiency. The higher is hit rate the better.",
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"w": 24,
"x": 0,
"y": 39
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"id": 95,
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"renderer": "flot",
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"fill": 0,
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"stack": false,
"steppedLine": false,
"targets": [
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"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"exemplar": true,
"expr": "1 - (\n sum(rate(vm_cache_misses_total{job=~\"$job\", instance=~\"$instance\"}[5m])) by (type) /\n sum(rate(vm_cache_requests_total{job=~\"$job\", instance=~\"$instance\"}[5m])) by (type)\n)",
"interval": "",
"legendFormat": "{{type}}",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Cache hit ratio ($instance)",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
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"yaxes": [
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"logBase": 1,
"show": true
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"logBase": 1,
"show": true
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],
"yaxis": {
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}
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"title": "Caches",
"type": "row"
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{
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"datasource": {
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},
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"h": 1,
"w": 24,
"x": 0,
"y": 31
},
"id": 14,
"panels": [
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"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"uid": "$ds"
},
"description": "How many datapoints are inserted into storage per second",
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},
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"w": 12,
"x": 0,
"y": 3
},
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"id": 10,
"legend": {
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"avg": true,
"current": true,
"hideZero": true,
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"min": false,
"show": true,
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"total": false,
"values": true
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"links": [],
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"pointradius": 2,
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"stack": false,
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"targets": [
{
"expr": "sum(rate(vm_rows_inserted_total{job=~\"$job\", instance=~\"$instance\"}[$__interval])) by (type) > 0",
"format": "time_series",
"hide": false,
"intervalFactor": 1,
"legendFormat": "{{type}}",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Datapoints ingestion rate ($instance)",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
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}
},
{
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"dashes": false,
"datasource": {
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},
"description": "Shows the time needed to reach the 100% of disk capacity based on the following params:\n* free disk space;\n* row ingestion rate;\n* dedup rate;\n* compression.\n\nUse this panel for capacity planning in order to estimate the time remaining for running out of the disk space.\n\n",
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},
"fill": 1,
"fillGradient": 0,
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"x": 12,
"y": 3
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"id": 73,
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"avg": true,
"current": true,
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"max": false,
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"show": true,
"sort": "current",
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"total": false,
"values": true
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"lines": true,
"linewidth": 1,
"links": [],
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"pointradius": 2,
"points": false,
"renderer": "flot",
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"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "vm_free_disk_space_bytes{job=~\"$job\", instance=~\"$instance\"} / ignoring(path) ((rate(vm_rows_added_to_storage_total{job=~\"$job\", instance=~\"$instance\"}[1d]) - ignoring(type) rate(vm_deduplicated_samples_total{job=~\"$job\", instance=~\"$instance\", type=\"merge\"}[1d])) * scalar(sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\", type!=\"indexdb\"}) / sum(vm_rows{job=~\"$job\", instance=~\"$instance\", type!=\"indexdb\"})))",
"format": "time_series",
"hide": false,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Storage full ETA ($instance)",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
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"mode": "time",
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"intervalFactor": 1,
"legendFormat": "total datapoints",
"refId": "A"
},
{
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