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Watch Akamas optimization in action.

Performance. Reliability. Savings.

Akamas application-aware AI maximizes performance, cloud savings, and service reliability, helping developers, SREs, and performance engineers move fast without breaking things. Watch the video tour to learn how Akamas autonomous workload optimization works and discover its capabilities and features.

Learn:

How Akamas uses Application-Aware AI to optimize stacks
How to run Optimizations Studies in pre-production
How to run Live Optimizations in production cloud applications
How to set goals and constraints
How to achieve performance, reliability and savings targets

“Akamas helped us to rapidly mature on the performance tuning front, by allowing us to find an optimal configuration for our application. This resulted in significant cost savings as well as removing barriers to replatforming.“

Thanks to Akamas, TeamSystem has improved the efficiency of our critical microservices as we would never be able to do manually. The ability to consistently deliver the highest level of quality to our end-users at the lowest possible cost is an important differentiator for us.

Akamas ease of integration with our CI/CD pipelines enabled us to automate the configuration deployment to quickly find optimized configurations that had not been previously found with our manual approach.