Scaling strategies
Introduction Scaling strategies in PostgreSQL are methods that help the database handle larger volumes of data, support high user concurrency and maintain high performance. These strategies are divided into the following main groups: In-Database Scaling First, you should choose Data & Structure Optimization solutions right within the Database , which saves resources and avoids incurring costs associated with upgrading hardware or purchasing additional servers. Table Partitioning Divide a massive table (hundreds of millions of rows) into smaller tables by Range, List, or Hash . Example: Divide the orders table by month. Postgres only needs to scan the exact partition containing the required data (Partition Pruning). Indexing : Use the correct index types such as B-Tree (default), GIN (for JSONB/Full-text search) and BRIN (for large time-series data) to accelerate query speeds. Vacuuming : Configure optimized Autovacuum to clean up Dead Tuples , avoiding Table Bloat that inflates d...