Production Linux servers frequently crash or slow down due to memory issues, costing downtime and revenue. This guide outlines a systematic approach to troubleshooting, starting with diagnosing root causes like memory leaks or misconfigured parameters. It provides a clear workflow for developers and DevOps engineers to restore system stability.

The diagnostic process begins with core command-line tools. Use `free -m` for system-wide statistics, `ps` to identify top memory-consuming processes, and `htop` for real-time monitoring. Once a culprit process is found—like a Java app with a leak—you can adjust JVM flags or Kubernetes pod memory limits to resolve the immediate problem.

Verification is critical after applying fixes. Re-run the same diagnostic commands to confirm memory usage has normalized and the system is stable. The article also warns against common pitfalls, such as ignoring swap space or failing to document changes. Consistent monitoring and proper configuration are key to preventing future outages in containerized environments.