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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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Description:
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/]
was:
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 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 (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
> 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
>
> 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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