Akamas Platform
Leverage patented reinforcement learning AI to optimize enterprise applications' cost, performance, and reliability.
Live Optimization
Akamas Live Optimization dynamically tunes production applications using real-time data for safe Kubernetes optimizations.
Offline Optimization
Akamas Offline Optimization streamlines performance testing and tuning for optimal full-stack application configurations.
Kubernetes Workloads
Identify optimal Kubernetes pod resources and HPA scaling settings for max cost efficiency and app reliability.
Application Runtimes
Optimize JVM, Node.js, and other language runtimes options to improve app performance and scalability.
Cloud Instances
Let AI find the right instance for your workload to achieve cost savings, better performance, and a smaller carbon footprint.
Big Data Applications
Automate Spark jobs and cluster tuning for maximum efficiency and reduced resource usage.
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We help DevOps, SREs and performance engineers maximize application performance, reliability, and cost savings.
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Join us online and around the world at key industry events focused on observability, AI and automation.
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Autonomous Optimization
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