Distributed Systems

A comprehensive guide to building and understanding distributed systems.

What You'll Learn

Consistency models and CAP theorem
Consensus algorithms (Raft, Paxos)
Replication strategies
Leader election
Real-world implementations

Why This Matters

Distributed systems power modern infrastructure: databases, cloud services, microservices, blockchain. Understanding these concepts is essential for backend engineers and system designers.

Structure & Chapters

This section contains 9 chapters organized in 3 subsections:

Fundamentals (2 chapters)

Introduction to Distributed Systems
Challenges & Concepts

Consistency & Data (2 chapters)

Consistency Models
CAP Theorem

Algorithms & Practice (5 chapters)

Consensus Algorithms
Replication
Leader Election
Building a Distributed System
Common Pitfalls

Where to Start

Begin with Introduction to Distributed Systems