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https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17242243#comment-17242243
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Zhenxu Ke commented on COMDEV-386:
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>  The main idea of the skywalking is the giving user tool for showing what 
>happen at the time of the working his distributed sistem.

 

[~Yaro1]  yes, SkyWalking gives the users a deep and continuous insight into 
what is happening in the systems.

It's clever :), though it's not much about logging (we're right now planning to 
collect logs and some of them are under construction).

 

> 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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