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https://issues.apache.org/jira/browse/COMDEV-393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhenxu Ke updated COMDEV-393:
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Attachment: image-2020-12-20-23-36-28-719.png
> Apache SkyWalking: Python agent collects and reports PVM metrics to backend
> ---------------------------------------------------------------------------
>
> Key: COMDEV-393
> URL: https://issues.apache.org/jira/browse/COMDEV-393
> Project: Community Development
> Issue Type: Task
> Components: GSoC/Mentoring ideas
> Reporter: Zhenxu Ke
> Priority: Major
> Labels: SkyWalking, gsoc2021, mentor
> Attachments: image-2020-12-20-23-36-28-719.png
>
>
> 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.
> Tracing distributed systems is one of the main features of SkyWalking, with
> those traces, it can analyze some service metrics such as CPM, success rate,
> error rate, apdex, etc. SkyWalking also supports receiving metrics from the
> agent side directly.
> In this task, we expect the Python agent to report its Python Virtual Machine
> (PVM) metrics, including (but not limited to, whatever metrics useful are
> also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine
> counts, garbage collection count, etc.
> To complete this task, you must be comfortable with Python and gRPC,
> otherwise you'll have a hard time coming up to speed.
> Live demo to play around:
> [http://122.112.182.72:8080|http://122.112.182.72:8080/] (under
> reconstruction, maybe unavailable but latest demo address can be found at the
> GitHub index page [http://github.com/apache/skywalking])
> [1] [http://skywalking.apache.org|http://skywalking.apache.org/]
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