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Effortless full-stack optimization to align devs, SREs, and Platform
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Automate application performance testing and tuning
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Optimize cloud-native applications in production
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AI and GPU Optimization
Akamas tunes the serving engine, runtime, GPU, and infrastructure together for AI and GPU workloads. Lower cost per token, latency targets that hold
JVM on Kubernetes Optimization
Java on K8s is responsible for over 50% of the cloud costs, 62% orgs say. While default JVM configurations are killing your performance
Kubernetes Workloads
Identify optimal Kubernetes pod resources and HPA scaling settings for max cost efficiency and app reliability
Cloud Instances
Let AI find the right instance for your workload to achieve cost savings, better performance, and a smaller carbon footprint
Application Runtimes
Optimize JVM, Node.js, and other language runtimes options to improve app performance and scalability
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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Just launched: AI Infrastructure Optimization →
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Go Beyond DevOps With Autonomous Full-Stack Optimization
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November 10, 2025
