π ~1 min read
Table of contents
Symptom & Impact
Critical processes are killed unexpectedly, causing application outages and transaction loss.
Environment & Reproduction
Appears during traffic spikes, batch workloads, or memory leaks in long-running services.
Root Cause Analysis
Total committed memory exceeds limits and kernel OOM policy selects victim processes.
Quick Triage
Capture OOM log lines and identify repeat victim patterns before restarting everything.
Step-by-Step Diagnosis
Analyze memory footprints over time and map killers to service roles and priorities.

Solution – Primary Fix
Increase headroom, tune service memory limits, and apply process priority safeguards.
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Solution – Alternative Approaches
Split workloads across nodes to reduce single-host memory contention and blast radius.
Verification & Acceptance Criteria
No OOM events occur during peak test scenarios and critical services remain available.
Rollback Plan
Revert limit and kernel changes if tuning destabilizes scheduler or workload behavior.
Prevention & Hardening
Implement memory SLOs, leak detection, and cgroup-based protection for key daemons.
Related Errors & Cross-Refs
Closely linked with swap thrashing and runaway process memory growth patterns.
Related tutorial: View the step-by-step tutorial for Debian 9.
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References & Further Reading
Linux OOM handling and capacity planning guidance for reliable service operation.
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