What this error means
CrashLoopBackOff | kubelet eviction node memory pressure/disk pressure | OOMKilled (Exit Code 137) is a Kubernetes failure pattern reported for developers trying to debug kubernetes crashloopbackoff pod with empty logs, distinguish between application crashes vs node resource eviction (oom/memory pressure). Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Comprehensive June 2026 guide identifies 7 root causes of CrashLoopBackOff including liveness probe failures, missing ConfigMaps, wrong volume permissions, and node-level pressure evictions. Key insight: empty logs often indicate node eviction (not app crash). Distinct actionable workflow with kubectl --previous logs, dmesg OOM check, and securityContext.fsGroup fix. Not a duplicate of generic K8s tutorials — focuses on specific diagnostic confusion that blocks production debugging. Category: Cloud Platforms per approved list.
Common causes
- Comprehensive June 2026 guide identifies 7 root causes of CrashLoopBackOff including liveness probe failures, missing ConfigMaps, wrong volume permissions, and node-level pressure evictions. Key insight: empty logs often indicate node eviction (not app crash). Distinct actionable workflow with kubectl --previous logs, dmesg OOM check, and securityContext.fsGroup fix. Not a duplicate of generic K8s tutorials — focuses on specific diagnostic confusion that blocks production debugging. Category: Cloud Platforms per approved list.
Quick fixes
- Confirm the exact error signature matches
CrashLoopBackOff | kubelet eviction node memory pressure/disk pressure | OOMKilled (Exit Code 137). - Check the Kubernetes account, local tool state, and provider configuration involved in the failing workflow.
- Compare the failing environment with a known working setup, then change one configuration value at a time.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.