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.
Insights
Akamas Insights makes it easy for developers, SREs, DevOps and FinOps engineers to achieve rapid cost in Kubernetes environments, with no effort.
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.
Resources
Topics
Documentation
Learn how to setup, use and integrate Akamas
Blog
Expert insights, how-tos, and tips from the Akamas team
Company
We help DevOps, SREs and performance engineers maximize application performance, reliability, and cost savings.
News
Stay informed with our latest updates on AI-powered optimization, partnerships, and product releases.
Events
Join us online and around the world at key industry events focused on observability, AI and automation.
Careers
Discover all available positions
Conference
Aria, Las Vegas, 03 - 05 Feb 2025
Webinar
Online, 21 Nov 2024
Salt Palace Convention Center, 12 - 15 Nov 2024
Convene, 22 Oct 2024
Radialsystem, 08 Oct 2024
Hotel Okura Amsterdam, 08 - 09 Oct 2024
Online, 11 Apr 2024
Paris Expo Porte de Versailles, 19 - 22 Mar 2024
Aria, Las Vegas, 29 Jan - 01 Feb 2024
McCormick Place West. Chicago, 06 - 09 Nov 2023
Mia Platform HQ, 27 Jun 2023
Webinar, 29 Mar 2023
The Cosmopolitan, Las Vegas, 13 - 16 Feb 2023
Webinar, 25 Jan 2023
