Akamas application-aware AI maximizes performance, cloud savings, and service reliability, helping developers, SREs, and performance engineers move fast without breaking things. It uses reinforcement learning, telemetry, and user-defined goals to autonomously optimize full-stack configurations of enterprise applications, both live in production and offline in testing environments.