Expert PostgreSQL tutorials, tips, and performance optimization guides. Learn database administration, query optimization, and best practices for PostgreSQL 18 and beyond.
High‑availability setups, backups and recovery, major/minor upgrade strategies, and Kubernetes/containers content.
Patterns for multi‑tenant SaaS, read scaling, partitioning, and observability/monitoring.
Major version upgrades on Amazon RDS for PostgreSQL and Aurora PostgreSQL are the rare database operation that AWS deliberately keeps manual. There is a good reason: each major release can carry breaking changes, and AWS wants a human to sign off before the database switches formats. For Houston teams running energy trading, logistics, and healthcare […]
If you operate upstream assets in the Greater Houston area, you understand the data volume problem: thousands of sensors generating 5,000–10,000 data points per second across wells, compressors, SCADA systems, separators, and field infrastructure. Traditional relational databases buckle under that load. Time-series databases designed for financial markets don’t speak the language of oil and gas […]
Connection pooling is one of the fastest ways to fix a “slow” PostgreSQL-backed app without touching a single query. In 2026, most production stacks sit behind some mix of driver-level pooling, PgBouncer, and sometimes pgpool-II—but they’re not interchangeable. This post walks through how PostgreSQL handles connections, where pooling actually helps, and when you should reach […]
Table bloat is one of PostgreSQL’s most persistent operational challenges. It’s a natural byproduct of how PostgreSQL handles updates and deletes — old row versions (dead tuples) pile up inside heap files, wasting storage, degrading index efficiency, and slowing down queries. Left unchecked, bloat can double or triple the physical size of your busiest tables. […]
