Failure to Scale Due to Horizontal Pod Autoscaler Anomaly

Horizontal Pod Autoscaler (HPA) failed to scale up due to a temporary anomaly in the resource metrics.

Find this helpful?

What Happened

HPA failed to trigger a scale-up action during a high traffic period because resource metrics were temporarily inaccurate.

Diagnosis Steps

1Checked metrics server logs and found that there was a temporary issue with the metric collection process.
2Metrics were not properly reflecting the true resource usage due to a short-lived anomaly.

Root Cause

Temporary anomaly in the metric collection system led to inaccurate scaling decisions.

Fix/Workaround

• Implemented a fallback mechanism to trigger scaling based on last known good metrics.
• Used a more robust monitoring system to track resource usage in real time.

Lessons Learned

Autoscalers should have fallback mechanisms for temporary metric anomalies.

How to Avoid

1Set up fallback mechanisms and monitoring alerts to handle metric inconsistencies.
2Regularly test autoscaling responses to ensure reliability.

Previous Scenario Next Scenario