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Scenario #445
Scaling & Load
Kubernetes v1.24, GCP

Delayed Scaling Response to Traffic Spike

Scaling took too long to respond during a traffic spike, leading to degraded service.

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What Happened

Traffic surged unexpectedly, but the Horizontal Pod Autoscaler (HPA) was slow to scale up, leading to service delays.

Diagnosis Steps
  • 1Reviewed HPA logs and found that the scaling threshold was too high for the initial traffic spike.
  • 2Found that scaling policies were tuned for slower load increases, not sudden spikes.
Root Cause

Autoscaling thresholds were not tuned for quick response during traffic bursts.

Fix/Workaround
• Lowered scaling thresholds to trigger scaling faster.
• Used burst metrics for quicker scaling decisions.
Lessons Learned

Autoscaling policies should be tuned for fast responses to sudden traffic spikes.

How to Avoid
  • 1Implement adaptive scaling thresholds based on traffic patterns.
  • 2Use real-time metrics to respond to sudden traffic bursts.