Webinars

Postgres Uptime Starts with Failover Design: A Production Blueprint for High Availability

A Postgres database can have replicas, a failover manager, and a green dashboard, and still go down the first time the network misbehaves. Uptime isn't a feature you switch on. It comes from design decisions made across every tier between your application and your data.

EDB in the Loop | Unlock Hybrid Control and Unified Observability in a Sovereign Environment

Postgres is rarely in one place anymore, and running it well across data centers and clouds takes a lot of administrative effort. Many teams feel forced to choose between managing everything by hand and giving up control of their data. EDB Postgres AI Hybrid Manager gives you one control plane to provision, operate, and monitor Postgres on your own Kubernetes infrastructure, on-premises or in the cloud, with your data staying under your control. You'll also see how EDB's Managed Experiences lets EDB experts run it for you.

[EDB 웨비나] EDB AI 플랫폼 아키텍처

9월 EDB Postgres AI Summit Seoul 2026에서 큰 호응을 얻었던 'EDB AI 플랫폼 아키텍처' 세션의 Continue 편입니다. AI Data Platform/AI Agent로서의 EDB 제품 라인업부터 pgvector·vectorplus, AIDB Extension 기반 In-DB AI 파이프라인까지, 오픈소스 기반 AI 데이터 플랫폼을 실전 데모로 확인하세요.

Own What's Next: Modernize Your Data Foundation for the AI Era with EDB and SUSE

Every enterprise database strategy is under the same pressure at once: control costs, escape proprietary lock-in, meet sovereignty requirements, and get ready for AI. Modernizing legacy databases, Oracle first, is often the opening move, but migration itself isn't the destination.

Governing EDB Postgres® AI at Scale with Red Hat Ansible

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

Own Your Data Lifecycle: The Converged Analytics Series

Analytics is converging — Postgres, open lakehouses, and specialized engines are merging into one governed platform. This six-part series traces the full arc: why convergence is happening now, how Postgres data becomes a live analytical estate on Apache Iceberg, and how ClickHouse and WarehousePG query it together with zero duplication. From there, live demos show the model in action — real-time personalization, log and observability consolidation, and governed AI agent access — proving that moving less data, not moving it faster, is what makes an analytics stack defensible, auditable, and yours to control.