Diagnose overloaded Kubernetes cluster
PerplexitySoftware Engineer · Technical ScreenLast updated
This question evaluates competency in diagnosing and mitigating production overloads in Kubernetes-based microservice architectures, emphasizing observability, autoscaling behavior, resource constraints, and incident-response reasoning.
A Kubernetes-based microservices system is experiencing overload (e.g., high tail latency, request timeouts, and autoscaling thrash). How would you debug and mitigate it end-to-end? Specify the metrics, logs, and traces you would examine; the tools and commands you would use; the hypotheses you would test; and your immediate mitigations versus longer-term fixes.
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