This site helps PostgreSQL DBAs, platform engineers, Python DevOps builders, and database SREs treat PostgreSQL extensions as first-class infrastructure — tracking compatibility across major and minor versions, planning safe upgrade paths, and keeping production clusters predictable through every lifecycle phase.
You'll find tactical, copy-ready patterns for dependency resolution, compatibility matrices, CI/CD validation gates, and rollback automation built with Python and modern pipelines — engineered to survive partial failures and minimize downtime.
Everything here is geared toward compliance and audit readiness: deterministic catalog state, version-pinned manifests, and reproducible recovery workflows you can wire straight into your platform.
New to treating extensions as versioned infrastructure? These three guides are the fastest way into the material — one flagship walkthrough from each area of the site.
This page shows exactly how to tell what a PostgreSQL server could install from disk apart from what a specific database has installed, and how to…
Read the guideThis page shows how to generate a checksummed compatibility matrix for the two hardest extensions to keep aligned during an upgrade — PostGIS and…
Read the guideTurning ALTER EXTENSION UPDATE into a repeatable pipeline step is harder than it looks, because the statement is not ordinary DDL: it chains…
Read the guideThe site is organized into three areas, each drilling from architectural fundamentals down to hands-on, production-grade implementation guides.
Foundations: catalog synchronization, dependency resolution, security boundaries, version control, and rollback design.
Compatibility matrices, async upgrade simulation, error categorization, downtime thresholds, and test routing.
ALTER EXTENSION automation, snapshot & point-in-time recovery, and resilient rollback workflows.