Awesome-scalability
by binhnguyennus
Comprehensive System Design & Architecture Learning Hub
Curated collection of battle-tested patterns, architectures, and real-world case studies for building scalable distributed systems.
- 68,024+ GitHub stars
- Organized collection of 1000+ resources on distributed systems and scalability
- MIT License license
About This Project
This extensive knowledge repository serves as your complete guide to understanding how the world's largest tech companies architect their systems. It compiles proven patterns, architectural decisions, and engineering blog posts from industry leaders like Netflix, Uber, Facebook, and Google into one organized resource.
What sets this apart: Rather than theoretical concepts alone, you'll find real-world case studies showing how companies solved actual scaling challenges. From handling millions of concurrent users to processing petabytes of data, each example includes the reasoning behind architectural choices and lessons learned from production deployments.
The collection covers the full spectrum of distributed systems topics including database sharding strategies, caching layers, message queues, microservices patterns, load balancing techniques, and monitoring approaches. Each section links to authoritative sources, engineering blogs, and technical papers that dive deep into implementation details.
Whether you're preparing for system design interviews at top tech companies or architecting your next production system, this curated list provides the foundational knowledge and practical insights needed to make informed architectural decisions at scale.
Key Features
- Organized collection of 1000+ resources on distributed systems and scalability
- Real-world case studies from Netflix, Uber, Twitter, LinkedIn and other tech giants
- Comprehensive coverage of database strategies, caching, messaging, and microservices
- Interview preparation materials focused on system design questions
- Curated links to authoritative engineering blogs and technical papers
- Regularly updated with new architectural patterns and industry best practices
How You Can Use It
Preparing for system design interviews at FAANG and tech companies
Learning architecture patterns for building high-traffic web applications
Understanding how to scale existing systems from thousands to millions of users
Researching solutions for specific distributed systems challenges
Studying real-world case studies from industry-leading engineering teams
Building foundational knowledge in backend and infrastructure engineering
Who Is This For?
Backend engineers, system architects, senior developers, engineering managers, and computer science students seeking to understand production-scale distributed systems