I've been running into issues with pods getting OOMKilled way too often. My usual approach is to check some metrics, guess a new memory limit (sometimes just doubling it), and hope it won't happen again. Is everyone okay with this method, or is there a better way to handle OOMKilled pods without constantly tweaking things manually?
5 Answers
Honestly, you might just need to tell your application teams to sort out their memory usage. If they're constantly hitting limits, it's a sign something isn't right on their end.
If you can, try reproducing the memory issue locally or using a profiler to analyze memory usage. It might help you pinpoint what's going wrong instead of playing guesswork with limits.
If you're looking for automation, check out the StormForge K8s rightsizing platform. It has a feature that detects OOM kills and automatically increases memory allocations as needed.
Sometimes, a quick fix is just to increase the memory limit. But you should look into how your application is throwing the OOM error in the first place.
The best practice is to keep your requests.memory and limits.memory the same. If they're different, Kubernetes might kill the pod due to insufficient memory when it hits that limit. Just keep that in mind to avoid further OOM issues!
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