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Chapter 7. Installing automation hub

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With the installation of the Ansible Automation Platform operator completed, the following steps install automation hub within a Red Hat OpenShift cluster.

Note

The resource requests and limits values are specific to this reference environment. Ensure to read the Chapter 3, Before you start section to properly calculate the values for your Red Hat OpenShift environment.

Warning

When an instance of automation hub is removed, the associated Persistent Volume Claims (PVCs) are not automatically deleted. This can cause issues during migration if the new deployment has the same name as the previous deployment. It is recommended to remove old PVCs prior to deploying a new automation hub instance in the same namespace. The steps to remove previous deployment PVCs can be found within Appendix B, Delete existing PVCs from previous AAP installations.

Note

Automation hub requires ReadWriteMany file-based storage, Azure Blob storage or Amazon S3-compliant storage for operation to ensure multiple pods can access shared content, such as collections.

  • Log in to the Red Hat OpenShift web console using your cluster credentials.
  • In the left-hand navigation menu, select Operators Installed Operators, select Ansible Automation Platform.
  • Navigate to the Automation Hub tab, then click Create AutomationHub.
  • Within the Form view

    • provide a Name, e.g. my-automation-hub
    • Within the Storage type, select your ReadWriteMany compliant storage.

      Note

      This reference environment uses Amazon S3 as its ReadWriteMany storage. Details to create an Amazon S3 bucket can be found in Appendix D, Create an Amazon S3 bucket.

    • Select the Advanced configuration to expand the additional options.
    • Within PostgreSQL container storage requirements (when using a managed instance)

      • set storage limit to 50Gi
      • set storage requests to 8Gi
    • Within PostgreSQL container resource requirements (when using a managed instance)

      • Limits: CPU cores: 500m, Memory: 1Gi
      • Requests: CPU cores: 200m, Memory: 1Gi
    • Within Redis deployment configuration, select Advanced configuration

      • Select In-memory data store resource requirements

        • Limits: CPU cores: 250m, Memory: 200Mi
        • Requests: CPU cores: 100m, Memory: 200Mi
    • Within API server configuration, select Advanced configuration

      • Select API server resource requirements

        • Limits: CPU cores: 250m, Memory: 400Mi
        • Requests: CPU cores: 150m, Memory: 400Mi
    • Within Content server configuration, select Advanced configuration

      • Select Content server resource requirements

        • Limits: CPU cores: 250m, Memory: 400Mi
        • Requests: CPU cores: 100m, Memory: 400Mi
    • Within Worker configuration, select Advanced configuration

      • Select Worker resource requirements

        • Limits: CPU cores: 1000m, Memory: 3Gi
        • Requests: CPU cores: 500m, Memory: 3Gi
  • Click the Create button
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