Unexpected Pod Termination Due to Scaling Policy

Pods were unexpectedly terminated during scale-down due to aggressive scaling policies.

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What Happened

Scaling policy was too aggressive, and pods were removed even though they were still handling active traffic.

Diagnosis Steps

1Reviewed scaling policy logs and found that the scaleDown strategy was too aggressive.
2Metrics indicated that pods were removed before traffic spikes subsided.

Root Cause

Aggressive scale-down policies without sufficient cool-down periods.

Fix/Workaround

• Adjusted the scaleDown stabilization window and added buffer periods before termination.
• Revisited scaling policy settings to ensure more balanced scaling.

Lessons Learned

Scaling down should be done with more careful consideration, allowing for cool-down periods.

How to Avoid

1Implement soft termination strategies to avoid premature pod removal.
2Adjust the cool-down period in scale-down policies.

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