New in DBtune: AWS Marketplace, RDS support, single query insights, and more
AWS Marketplace: DBtune is now available on AWS Marketplace! No matter where your PostgreSQL instances live—Aurora, RDS, or EC2—you can now access the DBtune AI agent directly into AWS. See the blog.
Amazon RDS: Now fully supported, enabling you to tune the performance of 18 server parameters of your RDS server instances. Read the blog.
Single query insights: Per-query average query runtime metrics allow users to track and analyze query performance at a granular level for precise tuning.
Delete query text:Stay in control of your data — if you previously allowed DBtune to collect your SQL query statements, now you can delete them whenever you prefer.
Minimized agent overhead: We've minimized the query load for the collection of pg_stat_statements, ensuring the DBtune agent has a minimal performance impact on your databases.
DBtune now supports Amazon RDS for PostgreSQL. This integration allows RDS users to safely and effortlessly achieve superior database performance, letting your team offload the complex tuning burden to the AI. Amazon RDS for PostgreSQL is a powerful service that simplifies database administration, and with DBtune's AI-powered, automated server parameter tuning, you can elevate your RDS deployments to new heights. Read more here.
Learn more about the product and setup guides in ourdocumentation.
Customer spotlight: Papershift
Papershift running their core product on Amazon RDS for PostgreSQL, saw their database performance default to generic RDS settings after a version upgrade. Instead of undertaking complex manual tuning, they utilized DBtune for automated optimization. They achieved a ~50% reduction in average query runtime and drastically lowered peak CPU utilization from 80% to 40% in their production instance.
Their take? For RDS users DBtune is "a no-brainer." A fantastic, detailed write-up on offloading database performance tuning to automation — Read their full blog post to get their view of the results and their setup details!
Inside the engine: DBtune's multi-dimensional tuning space
In his latest blog, DBtune Fellow, Marc Linster, explains how DBtune's AI engine manages and optimizes a complex, multi-dimensional parameter space across five core areas of database performance: memory and caching, query planning, parallelism, WAL and checkpointing, and the background writer. A crucial feature enabling this is the 'reload-only' mode — By focusing on configuration reloads, the platform can safely apply tuning recommendations in continuous, low-risk intervals of 5-10 minutes, achieving significant performance improvements in hours with no downtimes.
Learn more about the server parameters that power DBtune here.
Upcoming events
Prague PostgreSQL Developer Day (Jan 27-28): ■ A benchmark study on the impact of PostgreSQL server parameter tuning (Luigi Nardi) ■ Why your PostgreSQL tuning guide might be wrong (and what to do about it) (Mohsin Ejaz)
Microsoft Azure training with Azure Skåne (Jan 24) on tuning Azure Database for PostgreSQL flexible server. Stay tuned for registration link.
by Ellyne Phneah A recap of all the activities of the DBtune team at PostgreSQL Conference Europe 2025 in Riga including being a Gold Sponsor, organizing the PostgreSQL & AI summit, our talk and demo on "AI-driven tuning for all PostgreSQL flavors", and more.
by Hans-Jürgen Schönig The CEO of Cybertec notes that PostgreSQL 19 achieves super-fast aggregations by having the optimizer switch from "Join first, aggregate later" to "Aggregate first, join later", dramatically reducing redundant lookups on large tables for massive performance gains.
by Vibhor Kumar, VP/CX Technical Advisor at EDB Vibhor discusses how PostgreSQL's technical power is no longer the central question for core enterprise systems. The real challenge is establishing the required trust, security, governance, and talent to ensure successful, mission-critical open source adoption at scale.
Reinventing PostgreSQL for the next generation of apps by Chris Preimesberger The New Stack spoke with Dave Page, pgEdge on how the trend is not about choosing the "cheaper" database, but about reliability, control and the ability to run modern workloads: AI-driven, edge-distributed or Kubernetes-orchestrated without vendor lock-in or infrastructure dead ends.
Stay in touch
Your direct line to ask questions, share insights, connect with the team and other DBtune users on Slack.
.png?upscale=true&width=1120&upscale=true&name=7th%20newsletter%20(1).png)
-1.png?upscale=true&width=1120&upscale=true&name=AWS%20marketing%20(1)-1.png)
.png?upscale=true&width=1120&upscale=true&name=Papershift%20(1).png)
