Why Every Backend Engineer Needs to Understand Distributed Systems
Your single-server architecture works great — until it doesn't.
One day your database hits connection limits. Your API response times spike from 50ms to 5 seconds. A deploy takes down your entire app because there's no redundancy.
This is the wall every backend engineer hits. The ones who break through understand distributed systems.
What Most Tutorials Get Wrong
They teach theory — CAP theorem, Paxos, consistent hashing — and leave you to figure out the implementation.
What This Course Does Differently
Every concept comes with production-ready Python/FastAPI code:
Build a distributed task queue with Redis Streams and consumer groups
Implement a rate limiter using Lua scripts for atomic operations
Design a URL shortener handling 10K+ redirects/sec with analytics
Architect microservices with API gateway, sagas, and event-driven communication
5 Chapters. 20 Lessons. Zero Fluff.
Foundations of Distributed Systems
Communication Patterns
Data Management at Scale
Reliability & Fault Tolerance
Real-World System Design with FastAPI
$222/month with a 1-day free trial. Certificate on completion.