The AI-powered platform for live and offline application optimization
Traditional configuration methods struggle with the complexity of modern cloud applications. Akamas employs patented reinforcement learning AI to optimize enterprise applications dynamically.
What is application-aware optimization?
Optimize your entire applications, not just the cloud. Unlike traditional tools, Akamas considers the configuration and behavior of distributed applications, ensuring infrastructure improvements don’t compromise availability, performance, or critical business KPIs.
Full-Stack
Optimize the full infrastructure and application stack
Akamas supports multiple technologies in IT and cloud stacks, including Kubernetes and runtimes like Node.js and JVM. It considers configuration interdependencies to avoid changes that may harm the system.
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Goal-oriented
Balance optimization goals, SLOs and constraints
Akamas users can assign the AI user-defined optimization goals, like maximizing application throughput or minimizing cloud resource usage. You can also set hard SLOs or constraints, such as maximum latency or minimum transaction guarantees.
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Safe
Prevent dangerous configuration changes in production
Akamas, with its application-awareness, continuously learns from system behavior and avoids configuration changes that might harm performance, costs, or availability. It acts as a vigilant copilot, preventing configuration errors before they occur.
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Automated
Automate testing campaign and continuous optimization
Akamas can autonomously manage extensive testing studies, encompassing hundreds of test iterations. It can also continuously optimize application configurations in production. These configurations can be reviewed and approved by humans, or applied in CI/CD pipelines automatically by Akamas itself.
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Production or testing in one platform
Improve Service Quality
Increase server resilience
Reduce cloud & IT Costs
Increase business agility
The Akamas AI technology
At its core, the Akamas platform uses proprietary reinforcement learning algorithms, observability, and cloud technology to autonomously optimize workloads. Read the white paper for a deep dive into Akamas AI.
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Insights
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Online optimization
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Offline Optimization
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See for Yourself
Experience the benefits of Akamas autonomous optimization.
No overselling, no strings attached, no commitments.