pgEdge AI DBA Workbench with Microsoft Flexible Server Quickstart
This quickstart shows you how to connect Microsoft Flexible Server 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
This quickstart shows you how to connect Microsoft Flexible Server 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.
What's covered in this video:
Setting up a Flexible Server cluster group in the Workbench
Connecting via Flexible Server's Session Pooler
Live monitoring and AI-powered alerting across your Supabase database
Ellie analyzing real workload data and walking through specific tuning recommendations:
work_mem, autovacuum thresholds, connection pool settings
Why this matters for Microsoft Flexible Server users:
You don't have to migrate, replatform, or rip anything out. The Workbench layers on top of your existing Flexible Server instances, adding deep Postgres observability and tuning guidance without disrupting what's already working.
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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