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[tracecompass-dev] Fwd: Fwd: Linux Containers analysis module proposal (WIP)

Hello Trace Compass folks,

We are students from Polytechnique Montreal and we are currently working on an TraceCompass analysis module for Linux containers (LXC/Docker/Etc...). The information we track is mostly CPU usage by pid namespace, which would allow the identification of CPU-utilization related bottlenecks on a Linux container host.

Currently, it is still a W.I.P. version with test cases coming soon and hopefully a push to gerrit for code review.
If you guys don't mind, we are asking for quick advices/recommendations on the W.I.P. analysis.
  • What do you guys think about it in general?
  • What would be nice to have that is not currently in the analysis?
  • Are we aiming right? If you were managing a Linux container host (lxc/docker/etc), would this kind of view help you to identify performance bottlenecks?

We know not everyone have the time to actually apply the patch, get the traces and run tracecompass, so here's a quick preview of the analysis :

In green : The CPU time is allocated to the container.
In orange : The CPU time is allocated to a nested container of that container.
In grey : The CPU time is not allocated to that container.

Container Analysis

A lot of you will quickly realize that the container number is not relevant. It only servers as a "unique container ID". In the future, we could replace it with the container's hostname.
Also, the view dosen't show which process is currently executed by the containers. We are currently working on it and this information IS in the statesystem!!

The patch can be obtained here :
https://github.com/Selora/tracecompass/tree/container

Note : to run the analysis, you need to import "containerView.xml" located inside the "lttng2.kernel.core.analysis.container" package.

A sample of nested LXC container trace can be ontained here :
https://github.com/Selora/lttng_container_traces

A patch for lttng-modules is required to be able to produce trace compatible with this analysis :
https://github.com/Selora/lttng-modules


Cheers!
Sebastien & Francis.

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