Insufficient Load Balancer Configuration After Scaling Pods

Load balancer configurations failed to scale with the increased number of pods, causing traffic routing issues.

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What Happened

After scaling the number of pods, the load balancer did not automatically update its configuration, leading to traffic not being evenly distributed and causing backend service outages.

Diagnosis Steps

1Checked load balancer settings and found that the auto-scaling rules were not properly linked to the increased pod count.
2Used the AKS CLI to verify that the service endpoints did not reflect the new pod instances.

Root Cause

Load balancer was not configured to automatically detect and adjust to the increased pod count.

Fix/Workaround

• Manually updated the load balancer configuration to accommodate new pods.
• Implemented an automated system to update the load balancer when new pods are scaled.

Lessons Learned

Load balancer configurations should always be dynamically tied to pod scaling events.

How to Avoid

1Implement a dynamic load balancing solution that automatically adjusts when scaling occurs.
2Use Kubernetes services with load balancing features that automatically handle pod scaling.

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