What does OOMKilled mean and how do I prevent it?

Kubernetes OOMKilled errors occur when a pod exceeds its assigned memory limit, often appearing as exit code 137, and can quickly disrupt application availability, particularly during unexpected traffic spikes, memory leaks, or inefficient code execution. The discussion emphasizes maintaining sufficient CPU and memory headroom, balancing reliability against infrastructure cost, and using horizontal pod autoscaling where appropriate, while noting that scaling cannot help once underlying hardware capacity is exhausted. It demonstrates an underprovisioned Minikube deployment that fails under repeated HTTP requests, illustrating how resource limits and load testing expose production risks before release. Effective prevention includes realistic traffic replay and stress testing, monitoring pod status, memory and CPU use, network activity, latency, and crash loops through tools such as Prometheus, Grafana, Jaeger, and specialized platforms like Speedscale, which can also mock third-party dependencies. Based on load-test and production data, organizations should set resource requests and limits with adequate buffers, suggested as at least 30 percent above predictable peak demand and potentially 100 to 200 percent for highly variable workloads, then refine provisioning over time.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.