Incorrect Scaling Triggers Due to Misconfigured Metrics Server

The HPA scaled pods incorrectly because the metrics server was misconfigured, leading to wrong scaling triggers.

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What Happened

The Horizontal Pod Autoscaler (HPA) triggered scaling events based on inaccurate metrics from a misconfigured metrics server, causing pods to scale up and down erratically.

Diagnosis Steps

1Reviewed HPA configuration and found that it was using incorrect metrics due to a misconfigured metrics server.
2Observed fluctuations in pod replicas despite stable traffic and resource utilization.

Root Cause

Misconfigured metrics server, providing inaccurate data for scaling.

Fix/Workaround

• Corrected the metrics server configuration to ensure it provided accurate resource data.
• Adjusted the scaling thresholds to be more aligned with actual traffic patterns.

Lessons Learned

Accurate metrics are crucial for autoscaling to work effectively.

How to Avoid

1Regularly audit metrics servers to ensure they are correctly collecting and reporting data.
2Use redundancy in metrics collection to avoid single points of failure.

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