Designing Distributed Transactions with Consensus Protocols

Building reliable software across multiple machines is challenging when network partitions and system crashes occur. This text-only course guides you through the foundational concepts of distributed transactions and the consensus algorithms that make them fault-tolerant. You will transition from understanding basic single-database transactions to designing robust, distributed state machines that maintain consistency even under adverse network conditions. What you'll learn: - Understand foundational distributed systems concepts, including the CAP theorem, ACID properties, and network partitions. - Master the mechanics of atomic commit protocols, comparing classic Two-Phase Commit with consensus-driven approaches. - Explore the core principles of the Paxos algorithm and how it solves the consensus problem. - Analyze the Raft consensus protocol, focusing on leader election, log replication, and safety. - Examine modern implementation patterns and observability practices for distributed consensus in production environments. The course begins with essential definitions of distributed state and transaction models before walking through step-by-step breakdowns of consensus protocols. You will read detailed architectural explanations and conceptual code snippets that illustrate how these complex algorithms operate in practice. This course is designed for beginner software engineers, system designers, and computer science students who want to understand distributed systems from the ground up. No prior experience with distributed systems is required, though a basic understanding of programming concepts is helpful. Start reading today to unlock the core principles behind reliable, large-scale distributed systems.