Database Insights

Aurora PostgreSQL offers sub-30-second failover and 15 read replicas but costs more per instance and adds per-I/O pricing. Learn when Aurora's HA wins over RDS simplicity with real cost modeling for 2025.

pg_dump takes 4 hours on your 200GB database. pg_basebackup takes 20 minutes and enables point-in-time recovery to any second. Learn to set up WAL archiving, take base backups, and execute a PITR restore.

Your PostgreSQL table is 120GB but only contains 40GB of live data. Learn to measure bloat with pgstattuple, understand why autovacuum falls behind, and reclaim space with pg_repack without table locks.

pg_stat_statements tracks every query's total time, call count, and cache hit ratio. Learn to enable it, find your highest-cost queries, hunt for cache misses, and measure the impact of every optimization.

EXPLAIN ANALYZE tells you exactly why your PostgreSQL query is slow, but reading its output is a skill most developers never learn. Learn every node type, identify the five worst plan patterns, and fix them.

PostgreSQL's pg_stat_activity view exposes every connection's state — but understanding what 'idle in transaction' means and why it's dangerous requires knowing the full lifecycle of a PostgreSQL backend process.

Use Neon for serverless PostgreSQL — database branching for dev/test, autoscaling, and cost model

PostgreSQL 17 finally adds native incremental backup support — allowing subsequent backups to capture only changed blocks since the last full backup.

pgvector brings vector similarity search to PostgreSQL — enabling semantic search, recommendation engines, and RAG pipelines without a separate vector database.

A detailed comparison of PgBouncer, Odyssey, and pgcat for PostgreSQL connection pooling — architecture differences, threading models, pool modes, TLS support, and decision criteria for each workload type.

A practical guide to choosing between read replicas and caching layers — replication lag behavior, cache invalidation strategies, thundering herd prevention, tiered read architecture patterns, and decision framework.

Transform PostgreSQL into a vector database with pgvector. Learn embedding storage, ANN index creation, similarity search optimization, and AI/ML integration patterns.