Log Based Replication
Log Based Replication is a data replication technique where changes to a primary database are captured in a transaction log (like a write-ahead log or binlog) and then streamed to replica databases to keep them synchronized. It ensures data consistency across distributed systems by replaying the exact sequence of operations on replicas, making it a core mechanism for high availability, disaster recovery, and read scaling in databases. This approach is widely used in relational databases, NoSQL systems, and distributed data platforms.
Developers should learn Log Based Replication when building or maintaining systems that require data redundancy, fault tolerance, or low-latency read access across multiple nodes, such as in microservices architectures or global applications. It is essential for implementing master-slave or leader-follower setups in databases like PostgreSQL, MySQL, or MongoDB, where it helps prevent data loss during failures and supports real-time analytics by offloading queries to replicas. Understanding this concept is crucial for optimizing performance and ensuring data integrity in distributed environments.