Midwest Tape (distributor for Hoopla) was hitting performance ceilings on their RDS PostgreSQL production database during peak demand.
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.
Midwest Tape (distributor for Hoopla) was hitting performance ceilings on their RDS PostgreSQL production database during peak demand.
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.
Pretty phenomenal, and without changing any code or having to retest/redeploy