AWS Compute Optimizer vs. Hyperglance

AWS Compute Optimizer is a service that leverages machine learning to analyze the configuration and utilization metrics of your AWS resources, such as Amazon EC2 instances, Amazon EBS volumes, AWS Lambda functions, and Amazon ECS services on Fargate. It provides actionable recommendations to help you rightsize your resources, enhancing performance and reducing costs by up to 25%. By evaluating your workload patterns, Compute Optimizer identifies under-provisioned or over-provisioned resources and suggests optimal configurations to meet your performance and capacity requirements.

Hyperglance helps cloud, FinOps, platform, and security teams understand what is running across AWS, Azure, Google Cloud, Kubernetes, AWS GovCloud, and Azure Government. Instead of looking at cost, ownership, architecture, and risk in separate tools, teams can use Hyperglance to connect them in one place. See what each resource supports, who owns it, what it costs, how it connects to the rest of your environment, and whether it needs attention. Hyperglance is built for complex cloud estates where visibility alone isn’t enough.