Accessing Auto Scaling group recommendations and details - AWS Compute Optimizer
Procedures

Accessing Auto Scaling group recommendations and details

You can use one of the following procedures to access either the Auto Scaling groups recommendations or the Auto Scaling group details pages in the AWS Console.

On the Auto Scaling groups recommendations page you can view the recommendations for your current Auto Scaling groups. On the Auto Scaling group details page you can view the details of a specific group and its recommendations.

Procedures

To access the Auto Scaling group recommendations page

  1. Open the Compute Optimizer console at https://console.aws.amazon.com/compute-optimizer/.

  2. Choose Auto Scaling groups in the navigation pane.

    The recommendations page lists the specifications and finding classifications of your Auto Scaling groups, along with the specifications of the recommended groups. The current Auto Scaling groups listed are from the AWS Region that is currently selected, in the selected account.

  3. You can perform the following actions on the recommendations page:

    • View the price and performance impact of running your workload on AWS Graviton-based instances. To do this, choose Graviton (aws-arm64) in the CPU architecture preference dropdown list. Otherwise, the Current (default) option displays recommendations that are based on the same CPU vendor and architecture as the current instance.

    • Filter recommendations by AWS Regions, Findings, or Finding reasons. To do this, first select the Filter by one or more properties text box. Then, choose the property and a value in the dropdown list that appears.

    • View recommendations for instances in another account. To do this, choose Account, and then select a different account ID.

      Note

      If you're signed in to a management account of an organization and trusted access with Compute Optimizer is enabled, you can view recommendations for resources in other accounts. For more information, see Accounts supported by Compute Optimizer and Trusted access for AWS Organizations.

    • Clear the selected filters. To do this, choose Clear filters next to the filter.

    • Change the purchasing option that is displayed.To do this, first choose Settings (the gear icon), then choose On-Demand Instances, Reserved Instances, standard 1-year no upfront, or Reserved Instances, standard 3-year no upfront.

    • Access the Auto Scaling group details page for a specific Auto Scaling group. To do this, choose the finding classification listed next to the desired group.

To access the Auto Scaling group details page

  1. Open the Compute Optimizer console at https://console.aws.amazon.com/compute-optimizer/.

  2. Choose Auto Scaling groups in the navigation pane.

  3. Choose the finding classification listed next to the Auto Scaling group for which you wish to view detailed information.

    The details page lists up to three optimization recommendations for the Auto Scaling group that you chose. It lists the specifications of current instances in the Auto Scaling group, the specifications and performance risks of the recommended instances, and utilization metric graphs.

  4. You can perform the following actions on the details page:

    • To view the price and performance impact of running your workload on AWS Graviton-based instances, choose Graviton (aws-arm64) in the CPU architecture preference dropdown. Otherwise, the Current (default) option displays recommendations that are based on the same CPU vendor and architecture as the current instance.

    • Activate the enhanced infrastructure metrics paid feature to extend the metrics analysis look-back period for the Auto Scaling group you're viewing up to three months (compared to the 14-day default). For more information, see Enhanced infrastructure metrics.

    • The utilization metric graphs for your current instance are displayed at the bottom of the page. The solid blue line is the utilization of current instances in the Auto Scaling group.

    • To change the time range of the graphs, choose Time Range, and then choose Last 24 hours, Last 3 days, Last week, or Last 2 weeks. If you activate the enhanced infrastructure metrics recommendation preference, you can also choose Last 3 months.

      Choosing a shorter time range displays the data points at a higher granularity, which provides a higher level of detail.

    • To change the purchasing option that is displayed, choose Settings (the gear icon), then choose On-Demand Instances, Reserved Instances, standard 1-year no upfront, or Reserved Instances, standard 3-year no upfront.