In a recent Performance Clinic, Stefano Doni, CTO and Co-Founder of Akamas, discussed how modern application development cycles have shifted to being measured in days, increasing the complexity and unpredictability of technology stacks. To address these challenges, Akamas leverages automation, AI, and machine learning to optimize software performance and reduce costs by automatically adjusting configurations based on real-time data. Akamas integrates with Dynatrace for comprehensive monitoring, allowing it to perform AI-driven experiments that optimize system configurations, such as JVM parameters, to achieve significant resource savings and performance gains. Akamas supports a wide range of technologies through its Optimization Pack library and allows for easy integration and customization, offering a flexible on-premises solution without requiring agents on hosts or applications. The platform's ability to automate and refine performance optimization demonstrates the potential for technology to handle the increasing demands of rapid software release cycles efficiently.