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Scenario #80
Cluster Management
K8s v1.23, Azure AKS
Inefficient Resource Usage Due to Misconfigured Horizontal Pod Autoscaler
The Horizontal Pod Autoscaler (HPA) was inefficiently scaling due to misconfigured metrics.
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What Happened
HPA did not scale pods appropriately, either under-scaling or over-scaling, due to incorrect metric definitions.
Diagnosis Steps
- 1Checked HPA configuration and identified incorrect CPU utilization metrics.
- 2Monitored metrics-server logs and found that the metrics were inconsistent.
Root Cause
HPA was configured to scale based on inaccurate or inappropriate metrics, leading to inefficient scaling behavior.
Fix/Workaround
• Reconfigured the HPA to scale based on correct metrics (e.g., memory, custom metrics).
• Verified that the metrics-server was reporting accurate data.Lessons Learned
Always ensure that the right metrics are used for scaling to avoid inefficient scaling behavior.
How to Avoid
- 1Regularly review HPA configurations and metrics definitions.
- 2Test scaling behavior under different load conditions.