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[DOCS] Adds log pattern analysis docs to AIOps Labs subsection (#141939)

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István Zoltán Szabó 2022-09-29 17:34:53 +02:00 • committed by GitHub
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@ -118,8 +118,8 @@ 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.
You can find explain log rate spikes under **{ml-app}** > **AIOps** where you
can select the {data-source} or saved search that you want to analyze.
You can find explain log rate spikes under **{ml-app}** > **AIOps Labs** where
you can select the {data-source} or saved search that you want to analyze.
[role="screenshot"]
image::user/ml/images/ml-explain-log-rate-before.png[Log event histogram chart]
@ -142,3 +142,27 @@ deviation and rerun the analysis with the modified values.
[role="screenshot"]
image::user/ml/images/ml-explain-log-rate.png[Log rate spike explained]
[discrete]
[[log-pattern-analysis]]
=== Log pattern analysis
preview::[]
Log pattern analysis helps you to find patterns in unstructured log messages and
makes it easier to examine your data. It performs categorization analysis on a
selected field of a {data-source}, creates categories based on the data and
displays them together with a chart that shows the distribution of each category
and an example document that matches the category.
You can find log pattern analysis under **{ml-app}** > **AIOps Labs** where you
can select the {data-source} or saved search that you want to analyze.
[role="screenshot"]
image::user/ml/images/ml-log-pattern-analysis.png[Log pattern analysis UI]
Select a field for categorization and optionally apply any filters that you
want, then start the analysis. The analysis uses the same algorithms as a {ml}
categorization job. The results of the analysis are shown in a table that makes
it possible to open **Discover** and show or filter out the given category
there, which helps you to further examine your log messages.