Unresponsive Cluster After Large-Scale Deployment

Cluster became unresponsive after deploying a large number of pods in a single batch.

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What Happened

The cluster became unresponsive after deploying a batch of 500 pods in a single operation, causing resource exhaustion.

Diagnosis Steps

1Checked cluster logs and found that the control plane was overwhelmed with API requests.
2Observed resource limits on the nodes, which were maxed out.

Root Cause

The large-scale deployment exhausted the cluster’s available resources, causing a spike in API server load.

Fix/Workaround

• Implemented gradual pod deployment using rolling updates instead of a batch deployment.
• Increased the node resource capacity to handle larger loads.

Lessons Learned

Gradual deployments and resource planning are necessary when deploying large numbers of pods.

How to Avoid

1Use rolling updates or deploy in smaller batches.
2Monitor cluster resources and scale nodes accordingly.

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