Introduction
The sudden spike in error rates for GovTech's Singpass authentication service last week is a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the service.
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, there was a minor security patch deployed. Impact on approach: If confirmed, we'd focus on the patch's impact and potential rollback.
Why it matters: Different error types point to different root causes. Expected answer: Mostly timeout errors. Impact on approach: This would lead us to investigate network or server capacity issues.
Why it matters: Helps quantify the severity and urgency of the issue. Expected answer: Error rates have increased from 0.1% to 2%. Impact on approach: This significant increase would prioritize our investigation and response.
Why it matters: External events can sometimes trigger unexpected system behavior. Expected answer: No significant changes in overall usage patterns. Impact on approach: This would lead us to focus more on internal system issues rather than external factors.
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