Investigate this performance issue step by step. Symptom: {{symptom}} Affected endpoint: {{endpoint}} Latency metrics: {{latency_metrics}} Think through systematically: 1. BASELINE: What is normal performance? How far off are we? 2. REPRODUCTION: Can we reproduce this consistently? Under what conditions? 3. PROFILING: Where is time being spent? (CPU, I/O, network, waiting) 4. DATABASE: Are there slow queries? Check query plans. 5. EXTERNAL CALLS: Are third-party APIs slow? Check timeouts. 6. RESOURCE CONTENTION: Is there lock contention or resource exhaustion? 7. CACHING: Are caches cold or missing? What is the hit ratio? 8. CODE PATH: Is there algorithmic inefficiency? (O(n^2) loops, etc.) 9. ISOLATION: Can we isolate the bottleneck to a specific component? 10. SOLUTION: What is the fix? What is the expected improvement?
Performance Bottleneck Investigation
Systematically investigate a performance issue to find the bottleneck.
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CodingUse Cases
Performance debugging workflowLatency investigation supportOptimization targeting
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claude-opus-4.5gpt-5.2gemini-2.0-flash
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