An Intellyx Brain Candy Brief
A lot of tools deploy and manage configuration files. Some even help create them. But very few generate configuration files based on intelligence gleaned from observability data.
Akamas continuously analyzes observability data to recommend and generate application configuration improvements, on Kubernetes or off, using AI to analyze metrics data and more efficiently allocate application resources.
Akamas ingests data from observability tools using APIs and continuously analyzes ways to allocate resources to improve application performance.
Many optimization solutions focus on a single layer of a tech stack, leaving customers to pull together and correlate data from many sources to make config changes. Insteads, Akamas integrates observability data from all layers to automatically improve resource allocation for the application and its entire tech stack.
The platform has two modules that share the same optimization algorithms. One module finds the optimal configuration for any technology stack, while the other module is specifically adapted to optimizing the Kubernetes environment.
Akamas integrates with your GitOps to automatically open pull requests for recommended configuration changes, which are versioned, auditable, and compatible with Argo CD and Flux.
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