VictoriaMetrics/dashboards/victoriametrics-cluster.json

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        "w": 24,
        "x": 0,
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      "panels": [
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          "gridPos": {
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            "w": 24,
            "x": 0,
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          "links": [],
          "options": {
            "code": {
              "language": "plaintext",
              "showLineNumbers": false,
              "showMiniMap": false
            },
            "content": "See [Troubleshooting](https://docs.victoriametrics.com/troubleshooting/) docs.",
            "mode": "markdown"
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          "description": "Shows the rate and total number of new series created over last 24h.\n\nHigh [churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate) tightly connected with database performance and may result in unexpected OOM's or slow queries. It is recommended to always keep an eye on this metric to avoid unexpected [cardinality](https://docs.victoriametrics.com/keyconcepts/#cardinality) \"explosions\".\n\nThe higher churn rate is, the more resources required to handle it. Consider to keep the churn rate as low as possible.\n\nTo investigate stats about most expensive series use `api/v1/status/tsdb` handler. More details here https://docs.victoriametrics.com/cluster-victoriametrics/#url-format\n\nGood references to read:\n* https://www.robustperception.io/cardinality-is-key\n* https://valyala.medium.com/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b",
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                "lineInterpolation": "linear",
                "lineWidth": 1,
                "pointSize": 5,
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                "showPoints": "never",
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              "links": [],
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                "steps": [
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                  },
                  {
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                    "value": 80
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                ]
              },
              "unit": "short"
            },
            "overrides": [
              {
                "matcher": {
                  "id": "byName",
                  "options": "new series over 24h"
                },
                "properties": [
                  {
                    "id": "custom.axisPlacement",
                    "value": "right"
                  },
                  {
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          "id": 102,
          "options": {
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                "uid": "$ds"
              },
              "exemplar": true,
              "expr": "sum(rate(vm_new_timeseries_created_total{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval]))",
              "interval": "",
              "legendFormat": "churn rate",
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              "hide": false,
              "interval": "",
              "legendFormat": "new series over 24h",
              "refId": "B"
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          ],
          "title": "Churn rate ($instance)",
          "type": "timeseries"
        },
        {
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          },
          "description": "The percentage of slow inserts comparing to total insertion rate during the last 5 minutes. \n\nThe less value is better. If percentage remains high (>10%) during extended periods of time, then it is likely more RAM is needed for optimal handling of the current number of [active time series](https://docs.victoriametrics.com/faq/#what-is-an-active-time-series). \n\nIn general, VictoriaMetrics requires ~1KB or RAM per active time series, so it should be easy calculating the required amounts of RAM for the current workload according to capacity planning docs. But the resulting number may be far from the real number because the required amounts of memory depends on many other factors such as the number of labels per time series and the length of label values. See also [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3976#issuecomment-1476883183) for details.",
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          "targets": [
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              "legendFormat": "slow inserts",
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              "title": "Readonly mode",
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          ],
          "options": {
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              "format": "time_series",
              "interval": "",
              "intervalFactor": 1,
              "legendFormat": "{{instance}} => {{addr}}",
              "range": true,
              "refId": "A"
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        },
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          },
          "description": "Shows % of slow queries according to `search.logSlowQueryDuration` flag, which is `5s` by default.\n\nThe less value is better.",
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              "refId": "A"
            }
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        },
        {
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            "type": "prometheus",
            "uid": "$ds"
          },
          "description": "Merge assist happens when vmstorage can't keep up with merging parts. This is usually a sign of overload for vmstorage.",
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                "axisColorMode": "text",
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                "drawStyle": "bars",
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                "gradientMode": "none",
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            "x": 0,
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          "id": 170,
          "links": [],
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              "editorMode": "code",
              "exemplar": true,
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              "format": "time_series",
              "interval": "5m",
              "intervalFactor": 1,
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          "description": "VictoriaMetrics limits the number of labels per each metric with `-maxLabelsPerTimeseries` command-line flag.\n\nThis prevents from ingesting metrics with too many labels. The value of `maxLabelsPerTimeseries` must be adjusted for your workload.\n\nWhen limit is exceeded (graph is > 0) - extra labels are dropped, which could result in unexpected identical time series. See more details about dropped labels in vminsert logs.",
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                "axisColorMode": "text",
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              "decimals": 2,
              "links": [],
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              "exemplar": true,
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              "format": "time_series",
              "hide": false,
              "interval": "",
              "intervalFactor": 1,
              "legendFormat": "metrics with dropped labels",
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        },
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          "description": "Shows the percentage of used cache size from the allowed size by type. \nValues close to 100% show the maximum potential utilization.\nValues close to 0% show that cache is underutilized.",
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          "id": 144,
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              "editorMode": "code",
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        },
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            "type": "prometheus",
            "uid": "$ds"
          },
          "description": "Shows cache miss ratio. Lower is better.",
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          "links": [],
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              },
              "editorMode": "code",
              "exemplar": true,
              "expr": "max(\n    rate(vm_cache_misses_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])\n    /\n    rate(vm_cache_requests_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])\n) by(type)",
              "format": "time_series",
              "hide": false,
              "interval": "",
              "intervalFactor": 1,
              "legendFormat": "__auto",
              "range": true,
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        },
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          "fieldConfig": {
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            "x": 12,
            "y": 29
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            "w": 12,
            "x": 0,
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          "id": 20,
          "options": {
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              "intervalFactor": 1,
              "legendFormat": "min",
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              "refId": "B"
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              "legendFormat": "median",
              "range": true,
              "refId": "C"
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            "x": 12,
            "y": 37
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              "links": [
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                  "title": "Drilldown",
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              "mappings": [],
              "min": 0,
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                    "value": null
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            "w": 12,
            "x": 0,
            "y": 45
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          "id": 202,
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              "legendFormat": "indexdb",
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              "refId": "A"
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              "hide": false,
              "intervalFactor": 1,
              "legendFormat": "datapoints",
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              "refId": "B"
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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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                    "value": 3
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            "x": 12,
            "y": 45
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              "showLegend": true,
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              "legendFormat": "pending datapoints",
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              "displayMode": "list",
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              "legendFormat": "{{ instance }}",
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          "title": "Readonly mode",
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      "type": "row"
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        "w": 24,
        "x": 0,
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