Scaling Delayed Due to Incorrect Resource Requests

Pod scaling was delayed because of incorrectly set resource requests, leading to resource over-provisioning.

Find this helpful?

What Happened

Pods were scaled up, but they failed to start due to overly high resource requests that exceeded available node capacity.

Diagnosis Steps

1Checked pod resource requests and found they were too high for the available nodes.
2Observed that scaling metrics showed no immediate response, and pods remained in a Pending state.

Root Cause

Resource requests were misconfigured, leading to a mismatch between node capacity and pod requirements.

Fix/Workaround

• Reduced resource requests to better align with the available cluster resources.
• Set resource limits more carefully based on load testing.

Lessons Learned

Ensure that resource requests are configured properly to match the actual load requirements.

How to Avoid

1Perform resource profiling and benchmarking before setting resource requests and limits.
2Use metrics-based scaling strategies to adjust resources dynamically.