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https://issues.apache.org/jira/browse/COMDEV-453?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Solodovnik updated COMDEV-453:
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Labels: SkyWalking full-time gsoc2022 (was: full-time gsoc2022)
> [SkyWalking] Log outlier detection
> ----------------------------------
>
> Key: COMDEV-453
> URL: https://issues.apache.org/jira/browse/COMDEV-453
> Project: Community Development
> Issue Type: Task
> Components: GSoC/Mentoring ideas
> Reporter: Zhenxu Ke
> Priority: Major
> Labels: SkyWalking, full-time, gsoc2022
>
> Currently Apache SkyWalking can collect logs from various sources like user
> agents and Envoy access logs, it also provides a log analysis language to
> analyze the logs and produce some metrics, with those metrics, users can
> configure rules to trigger alerts and react to those abnormal/exceptional
> logs.
>
> But in reality, production environment exceptional logs are not known in
> advance and users can't enumerate all possible exceptional logs.
>
> This task aims to add an algorithm that can identify outlier log(s) from the
> massive logs, and draw the users attention to see whether there is error in
> the system.
>
> The algorithm should be able to learn from bot the history logs and streaming
> logs, and adjust itself to increase the accuracy.
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