Introduction
The Messenger API rate limit issue affecting 40% of applications is a critical problem that demands immediate attention. This widespread impact suggests a systemic issue rather than isolated incidents. I'll approach this analysis 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: Timing could indicate correlation with recent updates or changes. Expected answer: Within the last week or two. Impact on approach: Recent timing would focus our investigation on recent changes.
Why it matters: Helps identify if the issue is universal or specific to certain use cases. Expected answer: Higher impact on high-volume messaging applications. Impact on approach: Would guide us to investigate specific API usage patterns.
Why it matters: Could indicate changes in user behavior or potential abuse. Expected answer: Some increase, but not proportional to the rate limit triggers. Impact on approach: Would lead us to investigate both client-side and server-side factors.
Why it matters: Could point to internal changes as the root cause. Expected answer: Minor updates, but nothing directly related to rate limiting. Impact on approach: Would focus our investigation on unintended consequences of recent changes.
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