How Netflix, Uber, Amazon, Airbnb, Twitter and Spotify carry billions of users. Each chapter: one company, one problem, one architectural revolution.
Software architecture books are filled with abstract patterns. "Use microservices," "Go event-driven," "Apply CQRS" — but they rarely explain why, when, and at what cost.
This series examines the real architectural battles of the world's 6 largest tech companies. Each chapter covers:
- 🎯 Problem: The scale crisis the company faced
- 🏗️ Architectural Decision: What they did and why
- 💀 Trade-off: What they sacrificed
- 🛠️ Lesson: What we can take away for our own projects
Here's the lineup:
| # | Company | Core Problem | Key Pattern |
|---|---|---|---|
| 1 | Netflix | 3-day outage from a single DB failure | Microservices + Chaos Engineering |
| 2 | Uber | 47 services needed per trip event | Event-Driven Architecture + Kafka |
| 3 | Amazon | Teams lost in a massive monolith | SOA + Two-Pizza Teams |
| 4 | Airbnb | Central data team can't keep up | Data Mesh |
| 5 | 50M timelines to update per celebrity tweet | Fan-out Pattern (Hybrid) | |
| 6 | Spotify | Devs spend more time on infra than code | Platform Engineering + Golden Paths |
No company in this series adopted a pattern because it was trendy. Every decision was forced by a real crisis at a specific scale. The trade-offs are always there — and they're always expensive.
Ready? Let's climb on the shoulders of giants.
Chapter 1 drops tomorrow: Netflix — The Company That Killed the Monolith. 🎬
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