How to Connect pgEdge AI DBA Workbench to Amazon Aurora RDS for Intelligent Monitoring:
This quickstart shows you how to connect Amazon Aurora RDS to the Workbench in a few minutes, before going into the experience you'll have once it's up and running. The pgEdge AI DBA Workbench works with any PostgreSQL 14+ database, including Supabase, Amazon RDS, Google Cloud SQL, or community PostgreSQL.
Overview
The pgEdge AI DBA Workbench works with any PostgreSQL 14+ database, including Supabase, Amazon RDS, Google Cloud SQL, or community PostgreSQL. This quickstart shows you how to connect Amazon Aurora RDS to 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:
Setting up an RDS cluster group in the Workbench
Connecting via RDS's Session Pooler
Live monitoring and AI-powered alerting across your RDS database
Ellie analyzing real workload data and walking through specific tuning recommendations:
work_mem, autovacuum thresholds, connection pool settings
Why this matters for Amazon Aurora RDS users:
You don't have to migrate, replatform, or rip anything out. The Workbench layers on top of your existing RDS project, adding deep Postgres observability and tuning guidance without disrupting what's already working. RDS's AI assistants 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
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