Introduction
The increased error rate in KUBRA's Notifi alerts system, particularly for SMS notifications, over the past month is a critical issue that demands immediate attention. This problem directly impacts our ability to deliver timely and reliable notifications to users, potentially eroding trust in our service. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
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 could be directly linked to the error rate spike. Expected answer: Yes, there was a system update. Impact on approach: If confirmed, I'd focus on regression testing and rollback options.
Why it matters: Carrier-specific issues could indicate network problems or API changes. Expected answer: The issue is more prevalent with certain carriers. Impact on approach: I'd prioritize investigating carrier-specific integrations and APIs.
Why it matters: A sudden surge in volume could overwhelm the system. Expected answer: There's been a 20% increase in notification requests. Impact on approach: I'd look into scaling issues and system capacity.
Why it matters: Different error types point to different root causes. Expected answer: There's a mix of timeout errors and delivery failures. Impact on approach: I'd focus on both system performance and message delivery processes.
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