In this conversation with Luca Forni, CEO, and Stefano Doni, CTO of Akamas, we explore how enterprises can achieve massive savings and reliability improvements through AI-driven optimization. They share why configuration tuning is often overlooked, how Akamas addresses the “butterfly effect” across the stack, and why optimization must be continuous. From Black Friday load spikes to everyday workloads, they explain how organizations can balance cost, performance, and reliability seamlessly.
How Akamas IO Uses AI to Unlock 50–90% Cloud Cost Savings with Continuous Optimization
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