By using an ML-driven tuning agent, they were able to identify bottlenecks in server-key parameters that manual inspection missed. In a 4-hour session, they achieved a 10x boost in query performance (75ms to 7ms).
This aligns with the "Autonomous Postgres" trend—moving the burden of tuning from the DBA to agents.