Identify optimal AWS Compute resources

Benefits

Workload preferences

Rightsize workloads according to your workload preferences through artificial intelligence and machine learning-based analytics to reduce costs by up to 25%.

Resolve performance issues

Resolve performance issues by implementing recommendations that identify underprovisioned resources.

Increase recommendation savings

Increase recommendation savings and visibility into memory utilization by enabling Amazon CloudWatch metrics.

Optimize

Optimize licensing cost through automated license optimization recommendations after authentication.

Clean up un-used resources

Reduce cloud spend by cleaning up un-used resources.

Use cases

Customizable rightsizing recommendations

Optimize Amazon EC2 and Amazon RDS instances with customizable rightsizing recommendations tailored to your workload requirements

Configure infrastructure and external metrics

Get improved recommendations for optimizing EC2 instances and EC2 Auto Scaling groups by using historical data, as well as third-party metrics from your Application Performance Monitoring (APM) tools.

Streamline migration to AWS Graviton CPUs

Find the EC2, EC2 Auto Scaling, and RDS workloads that will deliver the biggest return for the smallest migration effort in a shift to AWS Graviton CPUs.

Licensing optimization recommendations

Discover commercial applications like Microsoft SQL Server and receive automated license recommendations to reduce licensing cost.

Idle resource recommendations

Delete or shut down un-used resources via idle recommendations.