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Home/Questions/General/Other/How do you identify resource bottlenecks in cluster logs?

How do you identify resource bottlenecks in cluster logs?

General/Othereasy0.2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Sources**: Spark UI (tasks, stages, shuffle); executor logs (memory, GC, CPU); driver logs; iostat, top. **Signals**: Skew (one task 10x slower); memory (spill, OOM); network (shuffle); stragglers. Tools: Spark UI, Prometheus....

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Asked at 1 company
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243
questions in General/Other
Difficulty Split
151E|43M|49H
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Expert Answer
44 words

Sources: Spark UI (tasks, stages, shuffle); executor logs (memory, GC, CPU); driver logs; iostat, top. Signals: Skew (one task 10x slower); memory (spill, OOM); network (shuffle); stragglers. Tools: Spark UI, Prometheus. Add custom metrics; correlate with logic; profile (JVM, Python); document fixes in runbook.

⚡
Pro Tip

Pro-Move: 'Spark UI showed 1 task 45 min, others 2 min—skew. Salted join key; all tasks ~3 min. Added skew alert.'

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