Today, IT stacks come with hundreds of configuration choices impacting application performance and infrastructure costs. Turning the right knobs can yield dramatic improvements, but the number of possible combinations has grown beyond what any human can manage. Akamas optimizes IT stacks automatically and safely at machine learning scale.
Akamas uses proprietary reinforcement learning algorithms to solve intractable optimization problems. It intelligently explores the vast and complex space of today’s software configurations to find optimal settings.
Akamas outperforms today’s trial-and-error manual optimization processes by automatically designing performance experiments, analyzing outcomes, evaluating configuration effectiveness and deploying settings to live systems.
Akamas optimizes the entire IT stack to achieve user-defined goals, such as the maximization of application throughput and minimization of latency. State the goal and let Akamas work out the best settings to improve specific KPIs.
Akamas provides a flexible, all-encompassing optimization platform for any technology, from operating systems to middleware and application-level configurations. No code changes are required.
A library of software modules supports a broad range of leading software technologies.
Need more? The Akamas platform is open and can be configured to optimize any custom environment via its SDK.
UniCredit Start Lab was set up to support innovation and new technologies. On 16 July 2019, at the UniCredit Tower in Milan, the Commission awarded the most innovative startups in the Digital sector. Akamas achieved a great result by placing second.Read more
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