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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.