PostgreSQL Performance Tuning, End to End
Slow queries and poorly configured databases are among the most common causes of application bottlenecks in production. This track teaches you to diagnose, tune, and scale PostgreSQL — from reading your first EXPLAIN output to reasoning about MVCC internals, WAL behavior, and logical replication topologies. Every technique is grounded in how PostgreSQL actually works, not generic advice.
What You Will Learn
You will master index selection across B-tree, GIN, GiST, BRIN, and partial indexes, then apply those skills to JSONB columns, full-text search, and trigram matching. You will learn to read and interpret query plans produced by EXPLAIN ANALYZE, rewrite subqueries and joins for efficiency, control autovacuum and bloat, configure pg_bouncer for connection pooling, tune server memory and checkpoint settings, partition large tables, and use extended statistics to help the planner make better decisions. Advanced sections cover concurrency and locking, parallel query execution, logical replication, and the MVCC and WAL internals that underpin every optimization choice.
The Learning Path
Twenty-two courses progress from A2 through B1, B2, C1, and up to C2. The opening course establishes core performance concepts and vocabulary. B1 courses cover the practical fundamentals: essential indexing strategies, EXPLAIN-driven analysis, JSONB modeling, bulk loading throughput, and transaction management via vacuuming. B2 courses move into advanced index types, join and subquery optimization, server configuration, monitoring, table partitioning, storage efficiency, full-text search performance, and PgBouncer tuning. C1 courses shift to data modeling for performance, advanced query rewriting, concurrency and locking, extended statistics, and parallel query workloads. The two C2 courses close the track with scaling and high availability architecture, logical replication patterns, and a deep look at MVCC and WAL internals.
How It Works
Each course is split into short, focused lessons you complete in the built-in SQL editor with real-time feedback. An AI tutor is available whenever a concept needs clarification or a query is not behaving as expected.