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Akamas is an autonomous Kubernetes optimization platform that uses AI and patented reinforcement learning to continuously optimize application performance, reliability, and cost across the full stack from infrastructure to runtimes. The platform automates configuration tuning by analyzing real workload behavior, enabling safe and explainable optimizations at scale while reducing cloud costs by up to 60%.
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