Day 83: Building a Root Cause Analysis Engine - Tracing Issues to Their Origin

What We're Building Today

Mission: Create an intelligent detective system that automatically connects the dots between seemingly unrelated log events to pinpoint exactly what went wrong and when.

Key Components We'll Implement:

Expected Outcome: A production-ready system processing 10,000+ events per second with 85%+ accuracy in identifying root causes within 30 seconds.

The Real-World Problem

When Netflix experiences a streaming outage affecting millions of users, engineers don't manually sift through terabytes of logs. They use sophisticated root cause analysis systems that trace the failure backwards through interconnected services, identifying the single API change or database timeout that triggered the cascade.

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\[Component Architecture Diagram\]

Your root cause analysis engine transforms chaotic log streams into clear causal narratives, automatically identifying:

Core Architecture Components

### 1\. Event Timeline Reconstructor

[Read more](https://sdcourse.substack.com/p/day-83-building-a-root-cause-analysis)

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