Designing Primary-Backup Replication in Distributed Systems

How do distributed databases keep data synchronized across multiple servers without losing consistency? Understanding how replication works is fundamental to building resilient, high-availability software systems. In this text-only course, you will transition from a basic understanding of single-node systems to designing reliable primary-backup replication systems. You will learn how to coordinate data flow between leader and follower nodes, handle network delays, and manage system failures. What you'll learn: - Understand the core terminology of distributed replication, including state machine replication and node roles. - Compare synchronous and asynchronous update propagation techniques and their trade-offs. - Configure failover mechanisms to handle leader crashes and prevent split-brain scenarios. - Analyze read and write paths to balance data consistency with system performance. - Master modern replication patterns, including semi-synchronous replication and eventual consistency. - Apply written design exercises to model fault-tolerant distributed architectures. You will start with foundational definitions of replication, progress through the mechanics of message propagation, and finish with strategies for handling network partitions and node failures. This course is designed for software developers and system architects who are new to distributed systems, with no advanced prerequisites required. Start reading today to build stronger, more resilient distributed databases.