Inconsistent Pod Scaling Due to Resource Limits

Pods were not scaling properly due to overly restrictive resource limits.

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What Happened

While scaling a service with the Horizontal Pod Autoscaler (HPA), the new pods failed to start due to insufficient resource allocation defined in the pod's resource limits.

Diagnosis Steps

1Reviewed the pod specifications and found that the resource requests and limits were set too low, especially during peak usage periods.
2Noticed that the nodes had sufficient capacity, but the pod constraints caused scheduling failures.

Root Cause

Misconfigured resource requests and limits preventing successful pod scaling.

Fix/Workaround

• Increased the resource requests and limits for the affected pods.
• Used kubectl describe pod to validate that the new configuration was sufficient for pod scheduling.

Lessons Learned

Proper resource configuration is critical to ensure that HPA can scale up pods without issues.

How to Avoid

1Regularly review and adjust resource requests and limits for pods, especially before scaling events.
2Monitor resource utilization and adjust configurations dynamically.

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