Amazon Compute Optimizer recommends optimal Amazon Web Services resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Over-provisioning resources can lead to unnecessary infrastructure cost, and under-provisioning resources can lead to poor application performance. Compute Optimizer helps you choose optimal configurations for four types of Amazon Web Services resources: Amazon EC2 instances, Amazon EBS volumes, Amazon Lambda functions, and Amazon ECS Services on Amazon Fargate, based on your utilization data.

By applying the knowledge drawn from Amazon’s own experience running diverse workloads in the cloud, Compute Optimizer identifies workload patterns and recommends optimal Amazon Web Services resources. Compute Optimizer analyzes the configuration and resource utilization of your workload to identify dozens of defining characteristics, for example, if a workload is CPU-intensive, if it exhibits a daily pattern, or if a workload accesses local storage frequently. The service processes these characteristics and identifies the hardware resource required by the workload. Compute Optimizer infers how the workload would have performed on various hardware platforms (e.g. Amazon EC2 instances types) or using different configurations (e.g. Amazon EBS volume IOPS settings, Amazon Lambda function memory sizes, and Amazon ECS services on Amazon Fargate vCPU and memory sizes) to offer recommendations.

Compute Optimizer is available to you at no additional charge. To get started, you can opt in to the service in the Compute Optimizer Console.