Author here! If you're running a Kubernetes cluster, I recommend you check `kubectl version` and see if you're running "Server Version: v1.36.[0,1,2]". If so, you may want to use the one-liner at the end of the article to check your "process_resident_memory_bytes" on each node, and consider restarting kubelet as a temporary workaround to tame the memory leak until v1.36.3 is released.
Not all heroes wear capes! Well done
Very cool. It's often daunting to contribute to such a well-established and recognizable project, but this is exactly how it should work.
A good reason to health check the kubelet process and restart it when the checks fail.
What kind of health checks? In my case, the kubelet process was staying alive and responsive to queries, I believe due to:
# cat /proc/$(pgrep kubelet)/oom_score_adj
-999
(from OOMScoreAdjust=-999 in /etc/systemd/system/kubelet.service)
Nice find.
Can't help but feel this is one of the subtle traps hidden beneath the advice that contexts aren't supposed to be stored. I know it's not always that easy, of course.
Thanks. I know there's a `go vet` tool that's run as part of Kubernetes CI, and one of its checks is:
lostcancel: check cancel func returned by context.WithCancel is called