Diagnosing slow auto-scaled PaaS workloads
WHAT IT TESTS: layered debugging under load. OUTLINE: application metrics like request latency, throughput, and DB query time; infrastructure metrics like CPU, memory, and scaling lag. RED FLAG: jumping to add instances without isolating the real bottleneck.
WHAT IT TESTS: whether you separate app-level from platform-level causes. ANSWER OUTLINE: application metrics include per-endpoint latency, throughput, error rates, and downstream dependency or database query time; infrastructure metrics include CPU and memory utilization, instance count, queue depth, and scaling reaction time. Correlate them: high latency with low CPU points to a downstream or lock bottleneck, not capacity.
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- #observability
- #auto-scaling
- #performance
- #metrics
- #paas
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