Are you managing PostgreSQL clusters that span multiple servers, regions, and cloud environments, and finding that most books stop exactly where your real problems begin? Have you ever needed a single reference that covers not just how replication works, but what to do when it breaks at 2 a.m., how to measure the performance impact before your users notice it, and how to secure the entire stack so it meets compliance requirements your auditors will actually accept?
This is that book.
PostgreSQL 18 Deep Reference Manual Volume 2 picks up where foundational database knowledge ends and takes you directly into the engineering decisions that define whether a production PostgreSQL system survives at scale. This volume is built for engineers who already understand the basics and need precise, unambiguous answers to hard operational questions.
What you will find inside:
Performance engineering coverage that goes beyond tips and tricks, walking through the complete pg_stat family of views, wait event diagnosis, connection pooling internals, vacuum cost management, index bloat remediation, and hardware-level tuning for CPU, storage, and cloud-managed environments.
A complete high availability and backup reference covering RTO and RPO design, pg_basebackup internals, native incremental backup introduced in PostgreSQL 18, WAL-based point-in-time recovery procedures, pgBackRest parallel restore architecture, Patroni DCS integration, HAProxy routing, and disaster recovery runbooks for real production failure scenarios.
Deep application-layer coverage including wire protocol internals, driver behavior across psycopg3, asyncpg, node-postgres and pgx, ORM anti-patterns that silently destroy performance, prepared statement mechanics, COPY protocol optimization, and event-driven architecture with logical replication consumers.
Advanced workload chapters on analytical and hybrid OLAP patterns, columnar storage extensions, vector search with pgvector for AI and machine learning applications, RAG pipeline architecture, hybrid full-text and vector search, distributed PostgreSQL with Citus, and multi-region write trade-offs.
A rigorous security chapter covering role hierarchies, SCRAM-SHA-256 internals, SSL/TLS configuration, row-level and column-level security, pgaudit compliance logging, encryption at rest, privilege escalation paths, and hardening for CIS and PCI-DSS requirements.
Operational engineering for teams running PostgreSQL at scale, including zero-downtime schema migrations, Kubernetes deployments with CloudNativePG, Prometheus observability stacks, and ten incident response runbooks for the most common production failures.
If your PostgreSQL systems have outgrown introductory documentation, this is the engineering reference built for where you are now.
