Performance Troubleshooting

Overview

Performance troubleshooting identifies and resolves latency, throughput, and saturation issues across distributed systems.

Troubleshooting Workflow

flowchart TD
    A[Symptom Detected] --> B[Define Scope and Baseline]
    B --> C[Identify Bottleneck Layer]
    C --> D[Apply Targeted Fix]
    D --> E[Load Test and Verify]

Practical Example

• Compare p95 and p99 latency trends by endpoint
• Inspect database query duration histograms
• Validate retry amplification effects in downstream calls

Production Example

A checkout API regression was traced to missing database index after schema rollout; adding the index and adjusting query pattern restored SLA.

Common Pitfalls

• Focusing only on average latency
• Ignoring contention in shared dependencies
• Applying broad infrastructure scaling before root cause analysis

Key Takeaways

• Performance troubleshooting requires baseline and layer isolation.
• Tail latency analysis is critical for user-facing services.
• Targeted fixes outperform broad, expensive changes.