Name: Autotuning PostgreSQL: A deep dive into server parameter tuning with agentic AI
Start: 2025-11-17T18:00:00-08:00
End: 2025-11-17T20:00:00-08:00
Location: Hacker Dojo

Manual PostgreSQL performance tuning is a high-risk, trial-and-error process that frequently leads to volatile performance, costly over-provisioning, and unnecessary downtime. For enterprises managing large, heterogeneous database fleets, these issues result in spiraling infrastructure costs and unpredictable behavior. This session introduces an agentic-AI approach to permanently solve this four-decade-old problem. We will detail the specific challenges and advantages of using adaptive AI for tuning complex workloads and share valuable lessons learned while developing a commercial autotuner, [DBtune](http://www.dbtune.com/).

Learn how DBtune's intelligent agent analyzes unique workloads in real-time and dynamically adapts server parameters to maximize resource utilization and optimize query response time. We will provide a direct performance comparison between DBtune’s adaptive method and traditional, static tools like PGTune. Through a live demonstration, we’ll showcase DBtune operating across diverse environments—from self-hosted community PostgreSQL to managed cloud services like Amazon RDS, Aurora, Google Cloud SQL, and Azure Flexible Server.

The future of database tuning is AI-assisted.

Mason Sharp

Luigi Nardi

Silicon Valley Postgres

PostgresWorld

Command Prompt

Redgate

Technology

Open Source

Database Professionals

Software Development

PostgreSQL

Business Intelligence

Web Development

Hadoop

Big Data

Data Analytics

Predictive Analytics

Computer Programming

Data Science

Dr. Luigi Nardi is the founder and CEO of DBtune, a leading company driving advancements in AI, database systems, and cloud computing. Combining deep academic expertise, previously serving as a professor of AI at Lund University and a research staff member at Stanford University, with a strong foundation as a professional Software Engineer, Luigi brings a unique, dual perspective to optimizing complex systems. He is a public speaker having co-authored more than 50 peer-reviewed papers.

Autotuning PostgreSQL: A deep dive into server parameter tuning with agentic AI

Artificial Intelligence

Hacker Dojo

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Silicon Valley Postgres

Autotuning PostgreSQL: A deep dive into server parameter tuning with agentic AI

Silicon Valley Postgres

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