Welcome to the DBtune release notes page. This is where we share all the new features, improvements, and updates we've made to help you get the most out of your databases.

v4.0.0, October 6, 2026

• Autovacuum monitoring DBtune now shows you how healthy your database's autovacuum process is. We track metrics such as transaction ID utilization, worker saturation and table bloat over time. Because DBtune monitors continuously, we can layer information over what PostgreSQL provides, such as: how long do your tables spend waiting for vacuum to happen?
• Enhanced recommendations Index optimization is now generally available. It identifies new indexing opportunities focused on your workload and whether any of your existing indices are causing problems. We have extended our recommendation system to cover two more important restart parameters: shared_buffers and max_worker_processes.
• A redesigned DBtune We've been working on a new design across DBtune. A cleaner layout makes it easy to understand the benefits of our parameter tuning, index optimization and autovacuum monitoring. Paired with smarter data fetching, pages load and update faster so the DBtune experience is more satisfying than ever.

v3.8.1, June 18, 2026

• Index tuning recommendations (beta): We are just dropping a brand new product that tells you everything about your PostgreSQL indexes. Stop making guesses; let DBtune suggest the redundant indexes to drop and the indexes to create without the need to add an extension. Read more.
• max_connections recommendation: Alert that flags over-allocated connection limits, advising tighter, safer values that protect your database from memory bloat and instability. You will not believe that Amazon RDS recommends you 3,000 max_connections—let's fix that. Read more.
• Tuning scope control: ****Handpick which PostgreSQL parameters DBtune is allowed to target and optimize for you. Read more.

v3.7.2, May 13, 2026

• Extended Amazon Aurora optimization: We have expanded our parameter optimization space for Aurora to better tune complex join operations: apg_adaptive_join_cost_threshold and apg_adaptive_join_crossover_multiplier, which are available since PostgreSQL 17.4. Learn more about the new optimization space.
• New local demo benchmark: Want to test-drive DBtune before deploying it in your enterprise environment? Now, when you create a DBtune account, you have access to a built-in demo database benchmark. This allows new users to safely and easily experience the DBtune platform directly from their desktop or laptop machines on Linux, macOS, and Windows (via WSL).
• Tuning session scheduler: Gain more control over your optimization workflows. With our new scheduling tool, you can now set up tuning sessions to run automatically at a specific date and time in the future.

v3.6.8, April 9, 2026

• SOC 2 Type II compliance: We successfully completed our SOC 2 Type II audit with zero exceptions.
• Parameter importance: Spot which server parameters truly matter for your workload, with statistical correlation analysis that surfaces the settings having the greatest impact on your tuning results.
• Expanded tuning report: Compare your recommended configurations against your baseline with expanded performance indicators, providing the transparency needed to validate every optimization.
• Query analysis: Gain clear visibility into how each individual query in your Workload Fingerprint optimization target performs before, during, and after tuning—so you can precisely understand the impact of every change.

v3.5.7, March 12, 2026

• Patroni HA tuning: Introducing the first agentic AI tuning solution for highly-available Postgres Patroni clusters. Optimize self-hosted high availability without compromising uptime, slashing infrastructure costs and latency. Read more below.