Introduction
The sudden drop in Messenger API webhook delivery success rate to 65% is a critical issue that demands immediate attention. This significant decrease in performance could have far-reaching consequences for user experience, platform reliability, and overall business metrics. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
Framework overview
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 performance issues. Expected answer: Yes, there was a minor update to the API. Impact on approach: If confirmed, we'd focus on the recent change as a primary suspect.
Why it matters: Uneven distribution could point to specific infrastructure or regional issues. Expected answer: The issue is more pronounced in certain regions. Impact on approach: We'd prioritize investigating region-specific factors if confirmed.
Why it matters: Different error types suggest different root causes. Expected answer: There's a mix of timeouts and connection errors. Impact on approach: This would guide our technical investigation towards network and server capacity issues.
Why it matters: Sudden spikes in usage could overwhelm the system. Expected answer: Usage has been relatively stable. Impact on approach: If confirmed, we'd focus more on internal system issues rather than external pressures.
Why it matters: Ensures we're not chasing a phantom problem due to faulty metrics. Expected answer: No changes to the measurement system. Impact on approach: Confirms we should focus on actual delivery issues rather than metric calculation problems.
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