Database Insights

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.

Build a real-time analytics pipeline from PostgreSQL to ClickHouse using CDC — architecture, latency, and schema mapping

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.

How to size your database connection pool correctly — the HikariCP formula, the variables that determine optimal pool size, and the mistakes that cause connection exhaustion or underutilization.

How to use pg_stat_statements to identify slow queries, analyze execution stats, and optimize PostgreSQL performance

A production guide to zero-downtime database migrations — why ALTER TABLE causes downtime, the Expand-Contract pattern, safe migration patterns for PostgreSQL and MySQL, and tooling with Flyway, Liquibase, pt-osc, and gh-ost.

Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production

UUIDs as primary keys can destroy database performance. Learn why 50M rows went from 0.5ms to 2.3ms inserts, and how to fix it with hybrid approaches.

Detect query plan regressions in PostgreSQL using auto_explain, pg_hint_plan, and plan baseline management