Check for Compute Optimizer Auto Scaling group findings in order to take the necessary actions to optimize under-performing Amazon EC2 Auto Scaling groups identified within your AWS account. AWS Compute Optimizer evaluates CPU, network, memory and I/O usage to determine if your Auto Scaling group (ASGs) are optimized for your workloads.
The Compute Optimizer findings for Amazon EC2 Auto Scaling groups are classified in the following ways:
Not optimized - An Auto Scaling group (ASG) is not optimized when AWS Compute Optimizer has identified a recommendation that can provide better performance or cost for your workload.
Optimized - An Auto Scaling group (ASG) is optimized when AWS Compute Optimizer determines that the ASG is correctly provisioned to run your workload, based on the chosen EC2 instance type.
With Auto Scaling group findings, AWS Compute Optimizer can help you optimize your ASGs by recommending optimal compute resources to reduce costs and improve performance, using machine learning (ML) on historical utilization metrics. You can take advantage of the actionable recommendations provided by Compute Optimizer to optimize your under-performing Auto Scaling groups and increase the overall performance of your workloads.
Note: AWS Compute Optimizer currently generates recommendations for Amazon EC2 Auto Scaling groups that are of a single instance type, and that have the same values for desired, minimum, and maximum capacity.
To check your AWS cloud account for Compute Optimizer Auto Scaling group findings, perform the following operations:
Remediation / Resolution
To access, review, and implement the Compute Optimizer finding recommendations generated for your under-optimized Amazon EC2 Auto Scaling groups, perform the following operations:
- AWS Documentation
- Auto Scaling groups
- Getting started with AWS Compute Optimizer
- Metrics analyzed by AWS Compute Optimizer
- Viewing the AWS Compute Optimizer dashboard
- Viewing resource recommendations
- What is AWS Compute Optimizer?
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You are auditing:
Compute Optimizer Auto Scaling Group Findings
Risk level: Medium