In a previous post, we explored the importance of right-sizing PostgreSQL environments and avoiding the trap of overprovisioning for peak demand. While architecture choices play a major role in cost optimization, the work doesn’t stop there. For technical teams including DBAs, system architects, and engineering directors, query performance and workload patterns offer some of the most direct, controllable levers for reducing cost without sacrificing quality.