Autonomous optimization for the Cloud

Benefits

Smarter Cloud, Lower Costs

Optimizing cloud instances – and even tuning app and middleware parameters – to cut costs and emissions without hurting performance seems nearly impossible. With hundreds of instance types per provider, each with different CPUs, memory, storage and features, the complexity is overwhelming. Akamas uses AI to automatically find the best full-stack configurations for your workloads, whether you’re optimizing existing deployments, migrating to the cloud, or exploring serverless and managed service options.