Autonomous PostgreSQL optimization: End-to-end tuning for parameters, indexes, and autovacuum
October 20–23
As PostgreSQL workloads scale in complexity, maintaining peak performance and stability becomes an increasingly difficult challenge. Traditional performance management often relies on fragmented, single-purpose tools or manual, reactive expert interventions—straining database engineering bandwidth and leaving cloud infrastructure overprovisioned.
We introduce DBtune v4.0, marking our transition to a fully automated, unified platform for PostgreSQL optimization. We move beyond isolated server parameter tuning to introduce a holistic solution that brings together AI-driven GUC parameter optimization, index tuning, and Autovacuum monitoring.
By unifying server parameter configuration, index management, and bloat prevention under an autonomous optimization framework, we empower platform engineers and database teams to: - Eliminate operational overhead - Prevent overprovisioning - Supercharge application performance
Over half of this presentation is dedicated to a live demo.
