Introduction
Increased API error rates for Railsbank's embedded finance platform in the APAC region pose a significant challenge to the product's reliability and user experience. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps pinpoint if it's a region-wide issue or specific to certain areas. Expected answer: Variations exist between countries. Impact on approach: Focus on country-specific infrastructure or regulatory differences.
Why it matters: Recent changes often correlate with performance issues. Expected answer: A major API version update was rolled out two weeks ago. Impact on approach: Investigate the changes in the update and their potential impact.
Why it matters: Unexpected load can cause increased error rates. Expected answer: Several large clients recently onboarded in the region. Impact on approach: Analyze capacity planning and onboarding processes.
Why it matters: Helps narrow down potential causes (e.g., authentication issues vs. general system overload). Expected answer: Mixture of timeout errors and authentication failures. Impact on approach: Focus on network infrastructure and authentication systems.
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