Zhenxu Ke created COMDEV-453:
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Summary: [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
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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