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Scenario #459
Scaling & Load
Kubernetes v1.25, Google Cloud

Node Over-Provisioning During Cluster Scaling

Nodes were over-provisioned, leading to unnecessary resource wastage during scaling.

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What Happened

Cluster Autoscaler added more nodes than necessary during scaling events, leading to resource wastage.

Diagnosis Steps
  • 1Reviewed the scaling logic and determined that the Autoscaler was provisioning more nodes than required to handle the traffic load.
  • 2Node usage data indicated that several nodes remained underutilized.
Root Cause

Over-provisioning by the Cluster Autoscaler due to overly conservative scaling settings.

Fix/Workaround
• Fine-tuned Cluster Autoscaler settings to scale nodes more precisely based on actual usage.
• Implemented tighter limits on node scaling thresholds.
Lessons Learned

Autoscaler settings must be precise to avoid over-provisioning and resource wastage.

How to Avoid
  • 1Regularly monitor node usage and adjust scaling thresholds.
  • 2Implement smarter autoscaling strategies that consider the actual resource demand.