PostgreSQL's logical replication is a powerful, flexible feature, yet for many, it remains a complex and intimidating topic. You might have heard about its capabilities for advanced scaling, data integration, or seamless migrations, but struggled to find a clear, comprehensive path to truly leverage it.
This series aims to simplify PostgreSQL logical replication, covering its architecture, practical use, and advanced applications to transform your data management.
Work in progress, with new articles coming throughout this year (2025). If you want to stay updated, consider subscribing to our newsletter to receive notifications when the next part is published!
Part 1: First steps with Logical Replication
Learn the fundamentals of logical replication in PostgreSQL. Stream row-level changes, set up publishers and subscribers, and manage key components for scaling and integration.
Part 2: Beyond the Basic of Logical Replication
Deep dive into advanced PostgreSQL logical replication: operational management, monitoring, and understanding logical decoding internals. Learn data copy strategies, manual sync, and fine-grained publication control with security best practices.
Part 3: Conflict Resolution, Performance, and Advanced Topologies (coming soon)
Explores advanced challenges in logical replication and deep dive into conflict types and resolution strategies. You'll also learn to optimise replication performance for high-volume environments and discover how to build complex data distribution networks through cascading logical replication, setting the scene for advanced use cases.
Part 4: Zero-Downtime Major PostgreSQL Version Upgrades (coming soon)
Learn the step-by-step process of migrating from an older to a newer PostgreSQL version with minimal downtime, covering initial setup, data synchronization, monitoring, the cutover process, and essential considerations like DDL and sequence management.
Part 5: Blue/Green Schema Migrations with Logical Replication (coming soon)
Explore how PostgreSQL logical replication forms the backbone of robust blue/green schema changes. Cover the blue/green methodology and provides a detailed workflow for setting up a live replica, testing it and performing a controlled switchover with the option for rapid rollback, significantly reducing deployment risks.
Part 6: Real-Time Change Data Capture (CDC) (later this year)
Understand the concept of CDC, how logical decoding provides the raw change stream, and how to leverage logical replication to build efficient pipelines for data warehousing, event-driven architectures, auditing, or cache invalidation by integrating with external systems