PostgreSQL Performance Tuning for Web Applications

PostgreSQL performance optimization requires understanding query execution and database configuration. Start with query analysis using EXPLAIN ANALYZE to identify slow queries. Create appropriate on query patterns: B-tree for general use, GIN for full-text search, and GiST for geometric data. Use partial indexes for frequently filtered queries. Implement connection pooling with PgBouncer to handle concurrent connections efficiently. Configure shared_buffers to 25% …