PostgreSQL Performance Tuning — From Slow Queries to Sub-Millisecond Responses
Identify slow queries with pg_stat_statements, read EXPLAIN ANALYZE output, tune work_mem and autovacuum, and configure PgBouncer for connection pooling.
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Identify slow queries with pg_stat_statements, read EXPLAIN ANALYZE output, tune work_mem and autovacuum, and configure PgBouncer for connection pooling.
pgai extends PostgreSQL with AI capabilities: auto-embedding, semantic search, and LLM function calls—all in SQL. No external vector database required.
Master PostgreSQL indexing strategies including B-Tree for general queries, GIN for JSONB/arrays, BRIN for time-series, partial indexes, covering indexes, and how to identify unused indexes with pg_stat_user_indexes.
Learn when sharding becomes necessary, compare hash vs range vs list partitioning, explore Citus for horizontal scaling, and understand the costs of distributed queries and shard key selection.
TechCrunch publishes your launch article at 9 AM. Traffic hits 50x normal. The servers that handled your beta just fine fail under the real launch. You''ve never tested what happens above 5x. The outage is the first piece of coverage that goes viral.