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Book Overview & Buying
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Table Of Contents
AI-Ready PostgreSQL 18
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This chapter wraps up the transaction-focused part of the book by explaining how developers can analyze and optimize PostgreSQL database performance through systematic monitoring and benchmarking. Using tools such as pgbench, pg_stat_database, pg_stat_statements, and EXPLAIN, the chapter showed how to identify long-running queries, detect inefficient indexing, and manage table bloat. It also introduced visualization and analysis tools such as pgAdmin and pgBadger, along with extensions such as pg_squeeze to reclaim storage without downtime. Overall, the chapter highlighted that maintaining optimal database performance is an ongoing process of observation, tuning, and refinement—essential for ensuring scalability, stability, and responsiveness in transactional applications.
The following chapter will focus on analytics use cases. You will understand the requirements for analytics, how to optimize data for high-performance analytics with PostgreSQL, and how to leverage...