Governing EDB Postgres® AI at Scale with Red Hat Ansible

October 15, 2026

Ready to build a resilient automation foundation?

Part 1 of this webinar series reviewed closing the deployment gap: automated provisioning, sub–30-second failover, and validated HA/DR that helped one customer scale from 10 shared Postgres clusters to more than 500 individually managed instances, with automated failover replacing all-hands incident response.

But scaling to 500 resilient instances creates a new challenge. Maintaining consistency across 500 database instances. Every instance you spin up is a fresh surface for privilege creep and configuration drift across users, privileges, schemas, extensions, and pg_hba rules. And most of that still managed by hand or tribal runbook. A database that has drifted is a liability. While resilience keeps you online, but it does not guarantee you’ll pass your next audit

Join Steve Fulmer (Red Hat) and Anil Kumar (EDB) for a working session on edb.epas_postgresql, a Red Hat–certified Ansible Content Collection built specifically to govern EDB Postgres Advanced Server internals at scale.

What you'll learn:

• Data management evolution: How operational autonomy is shifting into the data-management layer to streamline governance and AI readiness.
• Multimodel architecture under the hood: How a single SQL interface and unified security model reach across relational, vector (pgvector), time-series, and geospatial (PostGIS) data while preserving ACID integrity.
• The value of a converged operational model: How running transactional, analytical and AI workloads on a single surface cuts complexity and cost while enforcing governance directly in the database.
• A practical adoption playbook: How to map workload requirements against platform capabilities to modernize current database footprints while establishing low-cost AI readiness.