News, releases, technical articles, cool stories, and more.
Newsletter
Marc Linster sits down with DBtune founder and CEO Luigi Nardi to trace autonomous PostgreSQL from Stanford research to production breakthroughs, and share where the technology is heading next.
Explore DBtune's Q1 2026 report on PostgreSQL performance tuning. Learn how an agentic AI database achieves database cost optimization and faster PostgreSQL query optimization.
DBtune achieves SOC 2 Type II compliance for secure, zero-knowledge Agentic AI database tuning.
Optimizing the edge case: Maintaining performance and high availability with agentic failover-aware tuning.
DBtune for Patroni: Orchestrating high performance for self-hosted high availability.
AI proposes — DBAs approve.
Using Agentic AI for Kubernetes PostgreSQL optimization.
From 75.9 ms to 7 ms: Midwest Tape’s automatic PostgreSQL breakthrough with DBtune agentic AI.
Unlock the true potential of your managed PostgreSQL on AWS RDS with autonomous tuning.
A recap of all the activities of the DBtune team at PostgreSQL Conference Europe 2025 in Riga.
This features a selection of the key parameters under DBtune’s control, and why they matter.
A recap of the PostgreSQL & AI Summit on Community Events Day at PostgreSQL Conference Europe 2025 in Riga.
DBtune announces Workload Fingerprints, a groundbreaking method that brings precision and engineering to PostgreSQL performance tuning.
Now you can automatically tune your EPAS server parameters for breakthrough performance and efficiency using AI.
How DBtune AI boosts performance on Aiven.
Now you can automatically tune and optimize your Aiven PostgreSQL databases for better performance and efficiency.
Unlock up to 114% PostgreSQL performance improvement with DBtune and HammerDB: A practical guide to automating PostgreSQL optimization without code changes or hardware upgrades.
Artificial Intelligence database tuning changes the game for energy-intensive data centers.
Navigate your database optimization with confidence and ease.
OpenSourceDB discusses in a blog post on the crucial role of PostgreSQL DBAs in optimizing database performance through parameter tuning, which involves adjusting configuration settings to match specific workloads and environments.
Stormatics documented their experience leveraging DBtune to fine-tune PostgreSQL configuration in an attempt to improve performance and reduce query run time.
DBtune and REVSYS partner to boost PostgreSQL performance with AI-driven optimization, merging DBtune's automated tuning and REVSYS's scalability expertise.
DBtune is excited to announce a €2.4 million seed funding milestone, led by 42Cap, to fuel our mission to boost organizational efficiency and sustainability.
