Scaling Failure Due to Node Memory Pressure

Pod scaling failed due to memory pressure on nodes, preventing new pods from being scheduled.

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What Happened

Memory pressure on nodes prevented new pods from being scheduled, even though scaling events were triggered.

Diagnosis Steps

1Checked memory utilization and found that nodes were operating under high memory pressure, causing scheduling failures.
2Noticed that pod resource requests were too high for the available memory.

Root Cause

Insufficient memory resources on nodes to accommodate the newly scaled pods.

Fix/Workaround

• Increased memory resources on nodes and adjusted pod resource requests to better match available resources.
• Implemented memory-based autoscaling to handle memory pressure better during scaling events.

Lessons Learned

Memory pressure must be monitored and managed effectively during scaling events to avoid pod scheduling failures.

How to Avoid

1Ensure nodes have sufficient memory available, and use memory-based autoscaling.
2Implement tighter control over pod resource requests and limits.

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