Your question is Kubernetes Bottleneck Troubleshooting. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What are the most common bottlenecks you have encountered in Kubernetes clusters and how did you resolve them?
Discuss bottlenecks affecting ETL, batch, or streaming workloads, including CPU, memory, storage I/O, network capacity, scheduling, and dependent services. Explain the metrics, Kubernetes tools, and monitoring strategy you would use to isolate the constraint, apply a safe remediation, and verify that pipeline reliability and latency improved.
