PostgreSQL Multi-Master: The Truth DBAs Need to Know
PostgreSQL multi-master sounds simple until conflicts, sequences, schema changes, and application logic enter production.
Learn how to design and operate multi-master workflows in PostgreSQL using logical replication. In this deep technical session, Dr. Ibrar Ahmed explains where physical replication ends, how logical replication works, and what it takes to build safe active-active systems with publications, subscriptions, replication slots, conflict handling, identity strategy, DDL discipline, split-brain prevention, and production observability.
This session is for database engineers, architects, DBAs, and backend teams who want a practical mental model for multi-master PostgreSQL deployments.
Timeline
00:00 Introduction
02:30 Physical replication vs logical replication
06:30 Why single-primary replication has limits
10:00 Logical replication architecture
14:00 Publications, subscriptions, and replication slots
19:00 SQL workflow: publisher to subscriber
25:00 Three PostgreSQL replication models
31:00 Identity strategy for multi-master systems
37:00 UUIDs, sequences, and key ownership
43:00 Active-active topology design
49:00 Conflict management: avoid, route, resolve
56:00 Last Committer Wins and commit timestamps
1:03:00 Clock skew and correctness risks
1:10:00 Split-brain prevention
1:17:00 Quorum, witness nodes, and fencing
1:24:00 Application routing and ownership
1:31:00 Operating model for multi-master postgres
1:38:00 Schema changes and DDL replication
1:45:00 Spock and active-active logical replication
1:52:00 Production guardrails and observability
1:58:00 Key takeaways
#PostgreSQL #Postgres #LogicalReplication #MultiMaster #ActiveActive #DatabaseReplication #DatabaseArchitecture #HighAvailability #DistributedDatabases #PostgresDBA #DBA #DatabaseEngineering #DatabaseDesign #ReplicationSlots #Publications #Subscriptions #LogicalDecoding #PostgreSQLTutorial #PostgresTutorial #OpenSourceDatabase #SQL #BackendEngineering #DataEngineering #CloudDatabase #DatabaseScaling #DatabasePerformance #SystemDesign #FaultTolerance #SplitBrain #ConflictResolution #Spock #pgEdge #DevOps #SRE #DatabaseReliability #ProductionPostgres #TechTalk