PostgreSQL in Practice

PostgreSQL has quietly become the default database for a generation of SaaS companies, fintechs, and data-driven products, but the gap between "I can create a table" and "I can run PostgreSQL in production with confidence" is enormous. This book closes that gap.

Written for developers who can already write SQL but have never tuned an autovacuum, set up streaming replication, or diagnosed a bad query plan at 2 AM, this is a hands-on, project-driven guide to PostgreSQL as it's actually used in production. You'll move through schema design, indexing strategy, query optimization, transactions and concurrency, JSONB, and the extension ecosystem (PostGIS, pgvector, pg_partman, and more), then apply everything you've learned to three full end-to-end builds: a multi-tenant SaaS schema with row-level security, an analytics warehouse handling 200 million events, and a real-time ingestion pipeline processing 50,000 events per second.

Every chapter is anchored to a realistic problem, not an abstract concept. You won't just learn what a GIN index is, you'll build one to solve an actual full-text search problem. You won't just read about replication lag, you'll set up a primary and standby and watch the numbers move. Along the way, you'll pick up the operational instincts that separate developers who use PostgreSQL from developers who can design, build, and run a PostgreSQL system with confidence: how to read an EXPLAIN plan like a detective, how to size a connection pool, how to sleep soundly knowing your backups actually restore.

By the final page, you'll have written thousands of lines of SQL, broken and repaired several databases on purpose, and built the kind of pattern recognition that usually takes years of production incidents to earn.