Database Insights

PostgreSQL WAL retention is a balancing act — too little and standbys fall behind; too much and you risk disk exhaustion. Here's how to configure wal_keep_size and manage replication slots safely.

Five counterintuitive database performance truths every engineer gets wrong — over-indexing costs, N+1 queries, connection pool sizing, replica reads, and EXPLAIN limitations.

A practical guide to hardening PostgreSQL: configure SSL/TLS, tighten pg_hba.conf, implement least-privilege roles, enable row-level security, and set up audit logging.

PostgreSQL's logging system is powerful but requires careful configuration to be useful in production. Learn how to capture slow queries, connection events, and DDL changes without drowning in noise.

Explore PostgreSQL 18 revolutionary features including async I/O, improved parallelism, enhanced JSON support, and developer experience improvements coming in 2025.

A detailed comparison of Google Cloud SQL, Amazon RDS, and Azure Database for MySQL and PostgreSQL — HA architecture, failover times, connection pooling, pricing for equivalent instances, and platform-specific features.

PostgreSQL offers multiple index types for different access patterns — and choosing wrong means slow queries or wasted space. A comprehensive guide to indexing strategy, from type selection to monitoring and maintenance.

PostgreSQL disaster recovery requires more than just running pg_dump — it needs WAL archiving, PITR capability, regular restore testing, and clear RTO/RPO targets. Here's how to build it.

An honest comparison of MongoDB and PostgreSQL in 2026 — document model vs relational model, JSONB as a document store, ACID transaction trade-offs, horizontal scaling, licensing, and migration paths.

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'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