pgEdge AI DBA Workbench Technical Walkthrough

The pgEdge AI DBA Workbench works with any PostgreSQL 14+ database, including Supabase, Amazon RDS, Google Cloud SQL, or community PostgreSQL. This video provides a technical walkthrough of the Workbench in a few minutes, before going into the experience you'll have once it's up and running.

What's covered in this video:

• Architecture overview

• Setting up your Workbench instance

• Live monitoring and AI-powered alerting across your Postgres database

• Ellie analyzing real workload data and walking through specific tuning recommendations: work_mem, autovacuum thresholds, connection pool settings

Why this matters for Postgres users:

You don't have to migrate, replatform, or rip anything out. The Workbench layers on top of your existing Postgres v14+ deployment, adding deep Postgres observability and tuning guidance without disrupting what's already working. The AI agents focus on your application while Ellie focuses on your database.

The AI DBA Workbench is 100% open source under the PostgreSQL License. Run it yourself, on your own infrastructure, with the LLM provider of your choice (Anthropic, OpenAI, Gemini, or a local Ollama model).

GitHub: https://github.com/pgEdge/ai-dba-workbench
Download: https://www.pgedge.com/download/ai-dba-workbench