mirror of
https://github.com/hanzoai/metrics.git
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Fred NavruzovandGitHub
1490cfe358
### Describe Your Changes > (currently in DRAFT) This dashboard and the docs may look differently after recent review and the feedback received. As requested by our customers, this PR introduces `anomaly score`-based dashboard for `vmanomaly` to improve the visual experience and ease the drill down debugging process for respective anomaly detection setups. Accompanying guide (under `default` preset mode) is provided as well. - [For additional benefits](https://docs.victoriametrics.com/victoriametrics-datasource/#motivation), the dashboard is based on [VictoriaMetrics datasource](https://docs.victoriametrics.com/victoriametrics-datasource/) rather than on `Prometheus` datasource - Tested locally and on our https://play.victoriametrics.com/ `anomaly_score` data (tenant ID 0) - To check the guide, build the docs locally (`vmdocs`, `make run local`) and follow to the http://localhost:1313/anomaly-detection/presets/#default section ### Checklist The following checks are **mandatory**: - [x] My change adheres [VictoriaMetrics contributing guidelines](https://docs.victoriametrics.com/contributing/).
1675 lines
54 KiB
JSON
1675 lines
54 KiB
JSON
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"content": "This dashboard shows **[anomaly score](https://docs.victoriametrics.com/anomaly-detection/faq/#what-is-anomaly-score)** statistics produced by [`vmanomaly`](https://victoriametrics.com/products/enterprise/anomaly-detection/) and stored in \"${DS_VM:text}\" datasource.\n\nTimezone: `$__timezone`\n\n<br>\n\n#### Usage Hints:\n- Hover over the **(i) icons** in the top-right corner of each visualization and variable to see a detailed description of its specifics.\n- **Dashboard-level filters** apply to all visualizations.\n - The most generic filters are already added, e.g. `model_alias`, `scheduler_alias`, <br>which are the labels that all `anomaly_score` metrics have by default\n - To filter on one or more labels, use `Ad hoc filters` [ad hoc Grafana filter](https://grafana.com/docs/grafana/latest/dashboards/use-dashboards/#filter-dashboard-data).\n- Adjust `Metrics prefix` (current = `${vmanomaly_prefix}`) according to output format, defined in `writer.metric_format` [config section](https://docs.victoriametrics.com/anomaly-detection/components/writer/?highlight=metric_format#config-parameters)\n - e.g. if your `writer.metric_format.__name__` was set to `vmanomaly_$VAR`, set the prefix to `vmanomaly_` string.\n- The **`Group by`** dashboard filter allows you to segment visualizations based on selected labels.\n - For example, setting it to `model_alias` will create separate sub-visualizations for each unique model alias.\n - This helps in analyzing anomaly patterns across different dimensions.\n- The **`Threshold`** dashboard constant (default: `1.0`, current: `$anomaly_score_threshold`) determines anomaly classification:\n - **Non-anomalous** data points: `anomaly_score` ≤ `Threshold`\n - **Anomalous** data points: `anomaly_score` > `Threshold`\n - Set the threshold value consistently with your **alerting rules** for accurate anomaly detection.\n- The **`Min Anomaly%`** dashboard constant helps to filter the visualizations in **Local Anomaly Score Statistics** dashboard section,<br>leaving only timeseries with % of anomalies over time > selected value (`$anomaly_share`%)\n- The **`Show series`** dashboard custom multi-valued list allows to specify what [vmanomaly output](https://docs.victoriametrics.com/anomaly-detection/components/models/#vmanomaly-output) series <br>to plot on \"local anomaly score statistics\" dashboard sections <br>(defaults to `y` - raw metric values model saw during prediction phase)",
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|
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"current": {
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"text": "5",
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"value": "5"
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"description": "Specify % of datapoints in a [$__interval] that has anomaly score > `Threshold` variable to filter timeseries in Local Anomaly Statistic section",
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"label": "Min. Anomaly%",
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"name": "anomaly_share",
|
|
"options": [
|
|
{
|
|
"selected": true,
|
|
"text": "5",
|
|
"value": "5"
|
|
}
|
|
],
|
|
"query": "5",
|
|
"type": "textbox"
|
|
},
|
|
{
|
|
"current": {
|
|
"text": [
|
|
"y"
|
|
],
|
|
"value": [
|
|
"y"
|
|
]
|
|
},
|
|
"description": "What series on raw metrics scale to show on local anomaly score statistic (defaults to `y` - raw metric values). Can be a multi-value subset of https://docs.victoriametrics.com/anomaly-detection/components/models/#vmanomaly-output - [`y`, `yhat`, `yhat_lower`, `yhat_upper`]",
|
|
"includeAll": false,
|
|
"label": "Show series",
|
|
"multi": true,
|
|
"name": "output_series",
|
|
"options": [
|
|
{
|
|
"selected": true,
|
|
"text": "y",
|
|
"value": "y"
|
|
},
|
|
{
|
|
"selected": false,
|
|
"text": "yhat",
|
|
"value": "yhat"
|
|
},
|
|
{
|
|
"selected": false,
|
|
"text": "yhat_lower",
|
|
"value": "yhat_lower"
|
|
},
|
|
{
|
|
"selected": false,
|
|
"text": "yhat_upper",
|
|
"value": "yhat_upper"
|
|
}
|
|
],
|
|
"query": "y, yhat, yhat_lower, yhat_upper",
|
|
"type": "custom"
|
|
},
|
|
{
|
|
"baseFilters": [],
|
|
"datasource": {
|
|
"type": "victoriametrics-metrics-datasource",
|
|
"uid": "${DS_VM}"
|
|
},
|
|
"description": "Ad hoc filters to apply to all queries of this dashboard, specified as a list of <label> <op> <value> triplets. See https://grafana.com/docs/grafana/latest/dashboards/use-dashboards/#filter-dashboard-data for the details",
|
|
"filters": [],
|
|
"label": "Ad hoc filters",
|
|
"name": "adhoc_filters",
|
|
"type": "adhoc"
|
|
}
|
|
]
|
|
},
|
|
"time": {
|
|
"from": "now-1h",
|
|
"to": "now"
|
|
},
|
|
"timepicker": {},
|
|
"timezone": "browser",
|
|
"title": "VictoriaMetrics - vmanomaly - anomaly statistics",
|
|
"uid": "vmanomaly-dashboard-anomaly-stats",
|
|
"version": 1,
|
|
"weekStart": ""
|
|
}
|