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https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243136#comment-17243136
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Zhenxu Ke commented on COMDEV-386:
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https://github.com/apache/skywalking/issues/5943
> Apache SkyWalking: Python agent supports profiling
> --------------------------------------------------
>
> Key: COMDEV-386
> URL: https://issues.apache.org/jira/browse/COMDEV-386
> Project: Community Development
> Issue Type: Task
> Components: GSoC/Mentoring ideas
> Reporter: Zhenxu Ke
> Priority: Major
> Labels: SkyWalking, gsoc2021, mentor
>
> Apache SkyWalking [1] is an application performance monitor (APM) tool for
> distributed systems, especially designed for microservices, cloud native and
> container-based (Docker, K8s, Mesos) architectures.
> SkyWalking is based on agent to instrument (automatically) monitored
> services, for now, we have many agents for different languages, Python agent
> [2] is one of them, which supports automatic instrumentations.
> The goal of this project is to extend the agent's features by supporting
> profiling [3] a function's invocation stack, help the users to analyze which
> method costs the most major time in a cross-services call.
> To complete this task, you must be comfortable with Python, have some
> knowledge of tracing system, otherwise you'll have a hard time coming up to
> speed..
> [1] http://skywalking.apache.org
> [2] http://github.com/apache/skywalking-python
> [3]
> https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/
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