Database Insights

Configure PostgreSQL TLS with self-signed or CA-signed certificates. Force TLS via pg_hba.conf, set minimum TLS version, and verify server certs from clients.

Implement PostgreSQL Row Level Security for multi-tenant isolation. Covers USING clauses, WITH CHECK policies, tenant context via set_config, and performance indexing.

pgvector 0.8 delivers significant HNSW indexing improvements and new distance functions. Here is what changed and how to take advantage of it in production.

Set up PgBouncer in transaction pooling mode to handle thousands of PostgreSQL connections. Configuration, monitoring with SHOW POOLS, and common pitfalls.

Configure PostgreSQL logical replication for selective table sync and zero-downtime major version upgrades. Covers publications, subscriptions, and replication slot monitoring.

PostgreSQL 13 will officially reach end of life on November 13, 2025. After this date, the PostgreSQL Global Development Group will stop releasing security patc

PostgreSQL 17 is one of the most impactful releases in years. Incremental backups, vacuum improvements, logical replication failover slots, and planner enhancements are all production-critical changes.

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.

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