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Adds docs about alerts data in Anomaly Explorer (#2598)
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Co-authored-by: Dima Arnautov <[email protected]>
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szabosteve and darnautov authored Nov 23, 2023
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16 changes: 16 additions & 0 deletions docs/en/stack/ml/anomaly-detection/ml-buckets.asciidoc
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Expand Up @@ -43,6 +43,22 @@ typical and actual values, and probability. The **Anomaly explanation** section
helps you to interpret a given anomaly by providing further insights about its
type, impact, and score.

If you have <<creating-anomaly-alert-rules>> applied to an {anomaly-job} and an
alert has occured for the rule, you can view how the alert correlates with the
{anomaly-detect} results in the **Anomaly Explorer** by using the
**Anomaly timeline** swimlane and the **Alerts** panel. The **Alerts** panel
contains a line chart with the alerts count over time. The cursor on the line
chart is in sync with the anomaly swimlane making it easier to review anomalous
buckets with the spike produced by the alerts. The panel also contains
aggregated information for each alert rule associated with the job selection
such as the total number of active, recovered, and untracked alerts for the
selected job and time range. An alert context menu is displayed when an anomaly
swimlane cell is selected with alerts in the chosen time range. The context menu
contains the alert counters for the selected time buckets.

[role="screenshot"]
image::images/anomaly-explorer-alerts.png["Alerts table in the Anomaly Explorer"]

If you have more than one {anomaly-job}, you can also obtain _overall bucket_
results, which combine and correlate anomalies from multiple jobs into an
overall score. When you view the results for job groups in {kib}, it provides
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