We are proud to launch Human-in-the-loop tuning. This feature transforms our autonomous optimizer into a high-powered assistant, allowing you to harness the speed of AI-driven PostgreSQL performance tuning while maintaining a manual "Go/No-go" gate for every suggested change.

We understand that for database administrators, accountability is paramount and production environments are sacred. With Human-in-the-loop enabled, you can now review side-by-side comparisons of proposed configurations, ensuring complete transparency and compliance before deployment and also revealing optimization insights. Whether you need to satisfy strict auditing requirements or simply want to stay in the driver's seat during critical windows, our new workflow provides the perfect combination of AI speed and comprehensive optimization with human expertise. 

Read our full blog post and documentation to see how Human-in-the-loop can transform your PostgreSQL optimization strategy, or try it out. 

DBtune now integrates with CloudNativePG, bringing AI-driven performance optimization to the industry-leading Kubernetes operator for PostgreSQL. This integration eliminates the manual guesswork of tuning database parameters in K8s, allowing teams to automate configuration changes that were previously handled through risky trial-and-error. By deploying a lightweight agent directly into your cluster, DBtune analyzes your unique workload and applies real-time optimizations to ensure your databases run at peak efficiency.

CloudNativePG users can achieve significant gains in throughput and latency while reducing infrastructure overhead. The integration respects Kubernetes native workflows, providing automated guardrails that guarantee stability while pushing performance boundaries. If you’re looking to maximize your database ROI and move away from static "best practice" configurations, this update is a game-changer for your cloud-native stack.

Check out the full announcement and documentation to learn more. 

Midwest Tape, a leading distributor of DVDs, Blu-rays, and Audiobooks to libraries in the US, faced this exact challenge with their Hoopla service focused on digital content. Their AWS RDS for PostgreSQL production database was struggling to keep up with peak demand, threatening the experience for library users nationwide.

Enter the DBtune AI agent.

In a single 4-hour session, DBtune worked alongside their DBAs to identify bottlenecks and autotune the database server. The outcome? A 10x performance boost and a more resilient infrastructure. Now, their team is free to focus on innovation, not troubleshooting.

For IT Director Victor Del Corral, the value is strategic: "Knowing our database performance is expertly and automatically managed by DBtune frees the team to focus on core product innovation."

Read their full blog post to get their view of the results and their setup details!

In this episode of Talking Postgres, the most beloved podcast in the PostgreSQL community, our founder and CEO Luigi Nardi, discusses the evolution of AI-driven database optimization. Luigi shares his journey from Stanford research to building "Level 5" autonomous tuning solutions, and why Postgres is the ideal platform for self-driving database technology. They also explore how machine learning and system performance intersect, and how automation is reshaping the future of database administration. Listen to the full episode here.