Kubernetes deployments are frequently experiencing unexpected "OOMKilled" errors and "CrashLoopBackOff" cycles, often triggered when containers exceed memory limits enforced by the Linux kernel. This is particularly relevant for AI/ML practitioners using microservices, as native memory leaks, page cache reclaim stalls, and Go runtime discrepancies can all contribute to these failures, bypassing standard memory tracking. To mitigate these issues, teams should implement Guaranteed QoS and carefully tune Kubernetes manifests, alongside leveraging diagnostic tools to profile memory usage and inspect kernel cgroup behavior.
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