Introduction
The sudden 30% increase in API errors for Fabric (BPS)'s inventory management service yesterday is a critical issue that demands immediate attention and thorough analysis. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term implications for our product ecosystem.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden performance issues. Expected answer: Yes, a minor update was deployed yesterday morning. Impact on approach: If confirmed, we'd focus on the recent deployment as a primary suspect.
Why it matters: Helps narrow down the problem area and potential causes. Expected answer: The errors are concentrated in the stock update and query endpoints. Impact on approach: We'd prioritize investigating these specific endpoints and their dependencies.
Why it matters: Distinguishes between internal issues and external pressures. Expected answer: No significant traffic anomalies observed. Impact on approach: We'd focus more on internal system issues rather than capacity problems.
Why it matters: Helps determine if this is an isolated issue or part of a larger system problem. Expected answer: Some latency increases in related services, but no other major issues reported. Impact on approach: We'd investigate potential cascading effects and interdependencies between services.
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