LogReplikation

LogReplikation is a method for synchronizing data changes across multiple database or system instances by transmitting log records that capture modifications to the underlying data. The concept originates from the idea of a write‑ahead log; each change is recorded in a log before the data is applied to the primary system. A secondary system reads the log entries and replays them, thereby keeping its state consistent with the primary.

In relational database management systems such as PostgreSQL, LogReplikation is implemented through streaming replication. The primary sends a continuous stream of transactional log records to one or more replica nodes. Replicas parse the stream and replay the entries, applying the same changes to their local copies of the tables. Because the log is the source of truth, data loss is prevented and the replicas can recover from failures quickly.

Beyond database contexts, LogReplikation is also used in distributed file systems and messaging infrastructures. File system log replication ensures that file updates are propagated reliably to backup nodes. In messaging queues, log replication can maintain a persistent record of message delivery across broker clusters, providing durability and fault tolerance.

The main advantages of LogReplikation are minimal performance impact on the primary system—logging is a lightweight operation—and the ability to recover replicas to any point in time by replaying a subset of the log. Disadvantages include the need for sufficient network bandwidth and storage capacity, and the potential for replication lag if log entries accumulate faster than the replica can process them. Overall, LogReplikation is a foundational technique for high‑availability and disaster‑recovery architectures.