AWS Compute Optimizer now expands idle and rightsizing recommendations to Amazon EC2 Auto Scaling groups with scaling policies and multiple instance types. With the new recommendations, you can take actions to optimize cost and performance of these groups without requiring specialized knowledge or engineering resources to analyze them.
Compute Optimizer analyzes EC2 Auto Scaling groups’ scaling policies, instance configurations, and utilization metrics to understand their usage patterns and identify opportunities for cost and performance optimization. For EC2 Auto Scaling groups using multiple instance types, Compute Optimizer helps identify the most cost-efficient instance types, enabling you to prioritize them in your groups. When EC2 Auto Scaling groups use scaling policies to scale based on CPU utilization, Compute Optimizer recommends optimizing the CPU-to-memory ratio by considering only instance types with identical vCPU counts. Compute Optimizer also identifies and flags EC2 Auto Scaling groups that demonstrate consistently low CPU and network usage throughout the lookback period as idle, recommending that you scale them down to save costs.
This new feature is available in all AWS Regions where AWS Compute Optimizer is available, except the AWS GovCloud (US) and AWS China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide .