Consensus in Distributed Systems: Paxos, Raft, and Practical Patterns

Building reliable software across multiple machines requires solving one of computer science's toughest challenges: getting independent nodes to agree on a single state. This text-based course guides you through the core mechanics of consensus algorithms, transforming abstract theory into practical system design principles you can apply to modern infrastructure. What you'll learn: 1. Understand the core challenges of distributed systems, including split-brain scenarios and network partitions. 2. Master the mechanics of the Paxos algorithm, from basic single-decree concepts to multi-Paxos. 3. Explore the Raft consensus protocol, focusing on leader election, log replication, and safety guarantees. 4. Apply consensus principles to real-world distributed databases and coordination services like etcd. 5. Compare modern consensus variants, including basic Byzantine Fault Tolerance concepts. 6. Practice your knowledge with written conceptual exercises and architectural scenario analyses. Your learning journey starts with key terminology, basic consistency models, and foundational definitions of fault tolerance. You will then progress to step-by-step breakdowns of Paxos and Raft, concluding with real-world system design tradeoffs. This course is designed for beginners, software engineers, and system architects who are new to distributed systems. No prior experience with consensus algorithms is required. Start reading today to build resilient, fault-tolerant distributed architectures.