In this episode of the Software Plaza podcast, hosted by Twain Taylor, Akamas CEO Luca Forni and CTO Stefano Doni share how enterprises can achieve massive cost savings and greater reliability through AI-driven optimization.
They explain why configuration tuning across Kubernetes, JVMs, and the full technology stack is often overlooked, and how the “butterfly effect” makes manual optimization complex and risky. The conversation highlights why optimization must be continuous rather than one-time, covering scenarios from Black Friday load spikes to everyday workloads.
Watch this episode to learn how Akamas helps organizations balance cost, performance, and reliability seamlessly through automation and advanced optimization AI.
