Got Postgres sprawl? Tired of chasing down performance issues? We're hosting an open technical session to walk through how the pgEdge AI DBA Workbench works — and to hear what the community thinks.

The AI DBA Workbench is a 100% open source observability and intelligence platform for PostgreSQL. It runs fleet-wide across any PostgreSQL 14+ instance — Community Postgres, Amazon RDS, Supabase, self-hosted, or pgEdge — with no agents to deploy and no vendor lock-in. Pull it down from GitHub, spin it up with Docker Compose, and you're collecting metrics in minutes.

Dave Page (CTO, creator of the AI DBA Workbench, creator of pgAdmin, and longtime Postgres Core Team Member), Antony Pegg (Director of Product Management), and Paul Rothrock (Solutions Engineer) will do a live, unscripted walkthrough and take questions throughout.

What we'll cover:

- AI-generated summaries of your entire Postgres estate, with drill-down into cluster, server, and database metrics

- How 3-tier anomaly detection (statistical baselines, vector similarity, and LLM classification) surfaces the signals that matter

- How Ellie, the built-in AI assistant, uses 21 MCP tools, a RAG knowledge base, and persistent memory to answer questions and act across your fleet

- Alerting channels, blackout windows, and RBAC configuration to fit your team's workflow

- Getting up and running in minutes with Docker Compose, self-hosted and air-gap ready, with support for Claude, OpenAI, Gemini, or local models via Ollama

- Live Q&A

The code is available now at github.com/pgEdge/ai-dba-workbench. Try it and watch this session on demand to learn more today!