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% …
