AWS Compute Optimizer

AWS Compute Optimizer recommends optimal AWS Compute resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Over-provisioning compute can lead to unnecessary infrastructure cost and under-provisioning compute can lead to poor application performance. Compute Optimizer helps you choose the optimal Amazon EC2 instance types, including those that are part of an Amazon EC2 Auto Scaling group, 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 compute 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, or if it exhibits a daily pattern or if a workload accesses local storage frequently. The service processes these characteristics and identifies the hardware resource headroom required by the workload. Compute Optimizer infers how the workload would have performed on various hardware platforms (e.g. Amazon EC2 instances types) and offers recommendations.

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

Below are the cmdlets which are available with AWS Compute Optimizer

You can also check other AWS Services, and each services cmdlets we are providing.

Click on this Link for an Single place, where you get all the PowerShell cmdlets sorted based on the modules.

You can also refer other blogs on PowerShell at link

You can also refer other blogs on Microsoft at link

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References are taken from Microsoft and AWS