PostgreSQL Performance Engineering, from Indexing to Replication
PostgreSQL is the open-source relational database trusted by teams running everything from analytics pipelines to high-traffic SaaS products. This track focuses on the three pillars that determine whether a PostgreSQL deployment scales gracefully or collapses under load: indexing, partitioning, and replication. You will move from solid B1-level fundamentals to C2-level production techniques used to keep large databases fast, consistent, and available.
What You Will Learn
You will learn how indexes are structured and when each type pays off, how to tune index performance and eliminate redundant scans, how to partition tables by range, list, or hash and maintain those partitions over time, and how to set up both streaming and logical replication with pub/sub semantics. Advanced courses cover high availability, automatic failover, and the combined discipline of indexing and partitioning at scale, finishing with comprehensive database performance analysis across a full production schema.
The Learning Path
Eleven courses span B1 through C2. The track opens with PostgreSQL Indexing Fundamentals, Introduction to PostgreSQL Partitioning, and PostgreSQL Replication Basics — three B1 courses that establish the vocabulary and core mechanics. B2 sharpens practical skill with PostgreSQL Index Performance Tuning and Logical Replication and Pub/Sub. The C1 tier raises the difficulty with Advanced PostgreSQL Partitioning Strategies, Partitioning Performance and Maintenance, Advanced Replication Architectures, and High Availability and Failover. The track closes at C2 with Indexing and Partitioning at Scale and Comprehensive Database Performance, where all three pillars converge in a full-system view.
How It Works
Each course is built from short, focused lessons you complete in the built-in code editor with real-time feedback. When you get stuck, an AI tutor explains the concept and points you to the specific query or configuration causing the issue — so you fix your mental model, not just the syntax.
