[jira] [Updated] (COMDEV-453) [SkyWalking] Log outlier detection

["Maxim Solodovnik (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/COMDEV-453?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Maxim Solodovnik updated COMDEV-453:
------------------------------------
    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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