Postgres as Your AI Data Platform: Architecture, Vectors, and What to Watch Out For
We cover the architecture decisions that matter most, from data sovereignty and latency trade-offs to the operational challenges of running AI workloads alongside transactional ones. Leave with a clear picture of where Postgres fits in the modern AI stack.
EDB Summer Academy is a free virtual series covering high availability, Kubernetes, AI infrastructure, and analytics at scale. Each session goes beyond the basics, with practical depth you can apply straight away.
Stateful on Kubernetes: Running Postgres the Right Way
We dig into the failure scenarios teams overlook, the trade-offs between self-managed and operator-managed approaches, and what it takes to build a Kubernetes-native Postgres setup you can actually trust in production.
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.
As organizations shift to agentic AI, the divide between transactional and warehouse data must disappear. To power AI agents that reason in real-time, you need a data platform that is modern, observable, sovereign, with governance built in. Join our live session to learn how EDB Postgres AI eliminates silos and simplifies your architecture across hybrid estates.
기업들이 에이전틱 AI(Agentic AI) 시대로 전환함에 따라, 트랜잭션 데이터와 데이터 웨어하우스 간의 경계는 허물어져야 합니다. 실시간으로 상황을 판단하고 추론하는 AI 에이전트를 원활하게 구동하기 위해서는 현대적이고 가시성이 확보되며, 데이터 주권과 강력한 거버넌스가 내장된 데이터 플랫폼이 필수적입니다.
Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate
Although enterprises have invested in extracting, storing, and moving massive amounts of data, only 13% are successfully achieving ROI from their AI initiatives, according to a global study of over 2,000 executives. To overcome the challenges of data fragmentation, which can hinder AI implementation, companies need a transition to real-time workloads across the data to AI stack.
Navigating Disruption: Architecting Your Sovereign Data Estate for Resiliency
As systemic risks reshape the landscape in 2026, simply having a backup is no longer enough; true resiliency requires a fundamental shift in how database infrastructure is built to survive physical or geopolitical disruption.
Modernizing Database Migrations: From Manual to Automated to Agent-Assisted Workflows
As database migrations grow more complex across hybrid and heterogeneous environments, organizations are moving beyond manual processes toward more automated and intelligent workflows. While fully agentic migrations are still emerging, EDB is advancing the journey with new capabilities that bring greater efficiency and flexibility today.
In this webinar, we’ll highlight the latest Hybrid Manager enhancements, including expanded support for application migration, along with migration APIs exposed as MCP tools, enabling integration with AI assistants and agent-based workflows.
We’ll also showcase real-world custom solutions built using EDB’s APIs and MCP tools, demonstrating how teams are already extending automation and exploring agentic patterns.
