A comprehensive guide to designing scalable, highly available, and performant distributed systems.
Master distributed systems by first understanding the fundamental Building Blocks — like Load Balancers, Consensus, and Caching — and then applying them to real-world Case Studies like Uber, Netflix, and WhatsApp. Start with the fundamentals below, then scroll down to the applied case studies.
The core components and protocols that power all modern distributed systems.
How machines talk to each other over the wire.
Core algorithmic building blocks used across distributed systems.
How data is stored, indexed, replicated, and partitioned at scale.
Patterns for communication, caching, and system-wide coordination.
Making systems survive failures, overloads, and misbehaving clients.
Consensus, ordering, and coordination across multiple nodes.
Understanding what's happening inside a running distributed system.
Deep dives into the architectures of planetary-scale applications.