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Product Management Root Cause Analysis Question: Investigating Messenger API rate limit triggers affecting 40% of applications
Image of author vinay

Vinay

Updated Dec 6, 2024

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Asked at Meta

15 mins

Why are Messenger API rate limits triggering for 40% of applications?

Problem Solving Data Analysis Technical Understanding Social Media Enterprise Software Cloud Communications
Messaging Platforms Performance Optimization Root Cause Analysis API Management

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)

  • Looking at the scale, I'm thinking this might be a recent change. When did we first notice this 40% rate limit issue?

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.

  • Considering the breadth, I'm wondering about application types. Are certain types of applications more affected than others?

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.

  • Given the API nature, I'm curious about traffic patterns. Have we seen any unusual spikes in API requests recently?

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.

  • Thinking about system health, I'm wondering about our infrastructure. Have there been any recent changes to our API infrastructure or rate limiting algorithms?

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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