Join Lizzy Nguyen (EDB) and featured speaker Indranil Bandyopadhyay (Forrester), to dissect the multimodel data-platform market: where it's heading, what a converged approach unlocks, what enterprise buyers need to watch out for, and how to approach adoption.
Building Postgres High Availability That Holds Up Under Pressure
We dig into the scenarios teams most often overlook: replication lag during a failover, split-brain risks, fencing a demoted primary, and why automated failover can make an outage worse if not done carefully.
Automating for Resilience: Ansible and EDB Postgres at Scale
Red Hat Ansible Automation Platform is only as resilient as the database beneath it — yet most organizations leave their PostgreSQL backend to manual, unprotected management, and outside their automation program. In this session, Red Hat and EDB walk through the architecture, tooling, and operational patterns that turn Postgres into a fully automated, enterprise-grade foundation for Ansible Automation Platform. Whether you're running community Postgres today or evaluating a more resilient path forward, you'll leave with practical knowledge you can apply.
[EDB 웨비나 시리즈 4]PostgreSQL/Warehouse PG용 MCP 소개 및 데모
최근 기업용 AI 도입이 가속화되면서, 데이터를 어떻게 효율적으로 관리하고 AI 모델과 결합할 것인지가 비즈니스의 핵심 과제가 되었습니다.
이에 EDB는 오픈소스 기반 Postgres의 강력한 성능을 AI 환경에 최적화하여 활용할 수 있는 3부작 웨비나 시리즈를 준비했습니다. 단순한 이론을 넘어 실무 데모와 하이브리드 관리 전략까지, EDB가 제시하는 AI 데이터 인프라의 미래를 직접 확인해 보시기 바랍니다.
Beyond the DBaaS Trap: Achieving Data Sovereignty with Kubernetes and CloudNativePG
The convenience of managed cloud databases comes with a hidden cost. On day 1, a production-grade PostgreSQL cluster appears with a single click. By day 2, organizations discover that the operational controls, replication capabilities, and migration tools they need are locked inside a hyperscaler’s proprietary console. When compliance requirements shift or costs spike, the steering wheel isn’t in their hands.
Sovereign Data Strategies: Scaling Postgres for Large Scale Analytics
As data volumes continue to grow at around 40% annually, the cloud-first promise of effortless scale has hit a wall of unpredictable consumption costs and vendor lock-in. Many organizations now find themselves renting their insights through proprietary platforms, sacrificing data sovereignty and architectural flexibility in the process. To regain control, leaders are moving toward sovereign analytics; infrastructure that offers cloud-level performance without the cloud-provider tax.
최근 기업용 AI 도입이 가속화되면서, 데이터를 어떻게 효율적으로 관리하고 AI 모델과 결합할 것인지가 비즈니스의 핵심 과제가 되었습니다.
이에 EDB는 오픈소스 기반 Postgres의 강력한 성능을 AI 환경에 최적화하여 활용할 수 있는 3부작 웨비나 시리즈를 준비했습니다. 단순한 이론을 넘어 실무 데모와 하이브리드 관리 전략까지, EDB가 제시하는 AI 데이터 인프라의 미래를 직접 확인해 보시기 바랍니다.
PostgreSQL vs MySQL: Migration Without the Migraine
EDB positions PostgreSQL as a higher‑capability, enterprise‑ready alternative to MySQL and outlines a proven, risk‑reduced migration methodology used in 65,000+ projects. The framework spans assessment, conversion, implementation, operations, normalization, and cutover, with continuous validation for 100% data integrity, unified tooling, and predictable phases that shorten timelines and minimize rollbacks.
