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    • IT Operations Management
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    Home New York IT Operations Management IT Operations Management ITOM Optimization ITOM Optimization: Cloud Insights application Cloud Insights admin guide Reducing costs due to unused machines Configure Unused Machines operations

    Configure Unused Machines operations

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    Configure Unused Machines operations

    The Unused Machines feature recommends termination or power-off for resources that are wasting money because they are not being used. Use the Settings page to configure Unused Machines processes and specify the potential savings that triggers notifications.

    Before you begin

    • Run Discovery on each service account.
    • Ensure that the Billing Download job has completed for each provider.
    • Ensure that the Price Sheet Download job has completed for each provider.
    • Role required: Cloud Insights Admin [sn_clin_core.insights_admin] or Insights Owner [sn_clin_core.insights_owner]

    About this task

    Note: Microsoft Azure only: The Azure Advisor service generates the recommendations that appear in Rightsizing and Unused Machines reports. The Cloud Insights app does not generate the recommendations.

    Procedure

    1. Navigate to Cloud Insights > Cost Optimization > Unused Machines.
    2. On any tab, click Settings and then specify the following settings as needed:
      Field Value

      Enable Unused Machines

      Option for enabling Unused Machines activities. Clearing the check box disables Unused Machines.

      Default: Enabled

      Notify when predicted savings exceed (%) of total spend

      The percentage of overall cloud spend on unused machines that triggers email notification to the users or groups that you specify. The value is calculated using the amount that could be saved if all Unused Machines recommendations are followed.

      The default value of 15 means that notifications are sent only when the cost of unused machines is greater than 15% of total costs.

      Notify users / Notify groups

      The users or groups to notify by email when the spend for unused machines exceeds the specified percentage of overall cloud spend.

      For information on configuring the email, see Create an email template Create an email template.

    3. The default change request templates that the system uses to generate change requests work well in most applications. To specify non-default change templates, follow this procedure.
      1. Select the Advanced check box.
      2. Select the tab for the approval type to configure.
      3. Specify the script include to use for change requests when a resource matches a policy of the specified type.
        Default values:
        • Auto-approval (Standard Change) policies (the Assignment group is derived from the Standard Change template and cannot be overridden): CLINRSStandardChangeRequestUtil
        • Manual approval (Normal Change) policies: CLINRSNormalChangeRequestUtil
        Note: You cannot modify the default scripts.
    4. Click Submit or Update.
    Related topics
    • Change Management

    Tags:

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      Configure Unused Machines operations

      • Save as PDF Selected topic Topic & subtopics All topics in contents
      • Unsubscribe Log in to subscribe to topics and get notified when content changes.
      • Share this page

      Configure Unused Machines operations

      The Unused Machines feature recommends termination or power-off for resources that are wasting money because they are not being used. Use the Settings page to configure Unused Machines processes and specify the potential savings that triggers notifications.

      Before you begin

      • Run Discovery on each service account.
      • Ensure that the Billing Download job has completed for each provider.
      • Ensure that the Price Sheet Download job has completed for each provider.
      • Role required: Cloud Insights Admin [sn_clin_core.insights_admin] or Insights Owner [sn_clin_core.insights_owner]

      About this task

      Note: Microsoft Azure only: The Azure Advisor service generates the recommendations that appear in Rightsizing and Unused Machines reports. The Cloud Insights app does not generate the recommendations.

      Procedure

      1. Navigate to Cloud Insights > Cost Optimization > Unused Machines.
      2. On any tab, click Settings and then specify the following settings as needed:
        Field Value

        Enable Unused Machines

        Option for enabling Unused Machines activities. Clearing the check box disables Unused Machines.

        Default: Enabled

        Notify when predicted savings exceed (%) of total spend

        The percentage of overall cloud spend on unused machines that triggers email notification to the users or groups that you specify. The value is calculated using the amount that could be saved if all Unused Machines recommendations are followed.

        The default value of 15 means that notifications are sent only when the cost of unused machines is greater than 15% of total costs.

        Notify users / Notify groups

        The users or groups to notify by email when the spend for unused machines exceeds the specified percentage of overall cloud spend.

        For information on configuring the email, see Create an email template Create an email template.

      3. The default change request templates that the system uses to generate change requests work well in most applications. To specify non-default change templates, follow this procedure.
        1. Select the Advanced check box.
        2. Select the tab for the approval type to configure.
        3. Specify the script include to use for change requests when a resource matches a policy of the specified type.
          Default values:
          • Auto-approval (Standard Change) policies (the Assignment group is derived from the Standard Change template and cannot be overridden): CLINRSStandardChangeRequestUtil
          • Manual approval (Normal Change) policies: CLINRSNormalChangeRequestUtil
          Note: You cannot modify the default scripts.
      4. Click Submit or Update.
      Related topics
      • Change Management

      Tags:

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