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[DOCS] Adjusts log rate analysis docs (#185008)
## Summary This PR slightly adjusts the Log rate analysis docs to: * separate the conceptual info more distinctively from the Kibana relevant parts, * highlight that the component is embedded in other UIs.
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@ -148,35 +148,27 @@ advanced statistical methods to help you interpret your data and its behavior.
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[[log-rate-analysis]]
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=== Log rate analysis
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Log rate analysis is a feature that uses advanced statistical methods to
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identify reasons for increases or decreases in log rates. It makes it easy to
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find and investigate causes of unusual spikes or drops by using the analysis
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workflow view. Examine the histogram chart of the log rates for a given
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{data-source}, and find the reason behind a particular change possibly in
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millions of log events across multiple fields and values.
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Log rate analysis uses advanced statistical methods to identify reasons for increases or decreases in log rates and displays the statistically significant data in a tabular format.
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It makes it easy to find and investigate causes of unusual spikes or drops by using the analysis workflow view.
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Examine the histogram chart of the log rates for a given {data-source}, and find the reason behind a particular change possibly in millions of log events across multiple fields and values.
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You can find log rate analysis under **{ml-app}** > **AIOps Labs** where
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you can select the {data-source} or saved search that you want to analyze.
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You can find log rate analysis embedded in multiple applications.
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In {kib}, you can find it under **{ml-app}** > **AIOps Labs** where you can select the {data-source} or saved search that you want to analyze.
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[role="screenshot"]
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image::user/ml/images/ml-log-rate-analysis-before.png[Log event histogram chart]
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Select a spike or drop in the log event histogram chart to start the analysis. It
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identifies statistically significant field-value combinations that contribute to
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the spike or drop and displays them in a table. You can optionally choose to summarize
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the results into groups. The table also shows an indicator of the level of
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impact and a sparkline showing the shape of the impact in the chart. Hovering
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over a row displays the impact on the histogram chart in more detail. You can
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inspect a field in **Discover**, further investigate in **Log pattern analysis**,
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or copy the table row information as a query filter to the clipboard by
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selecting the corresponding option under the **Actions** column. You can also
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pin a table row by clicking on it then move the cursor to the histogram chart.
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It displays a tooltip with exact count values for the pinned field which enables
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closer investigation.
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Select a spike or drop in the log event histogram chart to start the analysis.
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It identifies statistically significant field-value combinations that contribute to the spike or drop and displays them in a table.
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You can optionally choose to summarize the results into groups.
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The table also shows an indicator of the level of impact and a sparkline showing the shape of the impact in the chart.
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Hovering over a row displays the impact on the histogram chart in more detail.
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You can inspect a field in **Discover**, further investigate in **Log pattern analysis**, or copy the table row information as a query filter to the clipboard by selecting the corresponding option under the **Actions** column.
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You can also pin a table row by clicking on it then move the cursor to the histogram chart.
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It displays a tooltip with exact count values for the pinned field which enables closer investigation.
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Brushes in the chart show the baseline time range and the deviation in the
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analyzed data. You can move the brushes to redefine both the baseline and the
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deviation and rerun the analysis with the modified values.
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Brushes in the chart show the baseline time range and the deviation in the analyzed data.
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You can move the brushes to redefine both the baseline and the deviation and rerun the analysis with the modified values.
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[role="screenshot"]
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image::user/ml/images/ml-log-rate-analysis.png[Log rate spike explained]
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