Rightsizing cloud instances – and possibly also tuning application and middleware parameters – to optimize costs and reduce carbon footprint while assuring application performance, is an impossible challenge.

Even when focusing on a specific cloud provider, there are literally several hundreds of instance types to consider, with specific processors and architectures, CPU and memory and storage resources and special-purpose features.

Akamas leverages AI to autonomously identify full-stack configurations to optimize already-deployed cloud applications, support the ability to migrate workloads to the cloud or evaluate other options, such as managed services and serverless architecture.

Akamas Platform for AWS GCP Azure Cloud

Join Akamas in Detroit!

Come visit Akamas at booth S117 to see a demo of optimization studies and live optimizations and ask any questions about our unique AI-powered optimization. 

The dark side of Kubernetes?

Light it up with application-aware optimization

There is a “dark side” to Kubernetes that makes it difficult to ensure the desired performance and resilience of cloud-native applications, while keeping their costs under control. Join the next Akamas Ignite webinar to learn more. 

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