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 AI allowed us to optimize our container-based Java services, significantly increase reliability under peak loads and drive towards our cost saving goals. AI-driven optimization by Akamas created a new competitive advantage for lastminute.com and better efficiency in our private cloud platform. Autonomous performance optimization is real and is here.”
Massimiliano Mazzarolo
Chief Technology Architect at lastminute.com
Akamas uses machine learning to solve intractable optimization problems. By intelligently shrinking the target configuration space, it delivers massive performance and cost improvements in hours instead of weeks.
Akamas radically outperforms trial-and-error manual optimization by using automation to iteratively design performance experiments, analyze outcomes and deploy settings.
Akamas discovers the best configuration tradeoffs for your performance goals. Availability. Throughput. Response time. Cost. You set the goal, Akamas figures out how to achieve it.
Akamas is a smart, technology-agnostic optimization platform that understands the interdependencies between operating system, middleware and application configurations.
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.
In this article, we explain all the new features and improvements that became available with the release of the 1.9 version.
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On August 31st, we presented the integration between Akamas and Dynatrace during the Performance Clinic webinar. This time we went a little more in-depth regarding the technical part, and there was also a demo.
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In this article, you can discover all the new features and improvements that we released with the 1.8 version.
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We've talked with Scott Moore and Stefano Doni about the state of our industry and its future.
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The ACM computing conference accepts an Akamas research paper introducing a novel approach to autonomous performance tuning.
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We are happy to announce that we are among the first launch partners of the new Dynatrace Marketplace!
Check it out!
