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Chapter 3. Recovering a Red Hat Ansible Automation Platform deployment

If you lose information on your system or experience issues with an upgrade, you can use the backup resources of your deployment instances. Use the following procedures to recover your Ansible Automation Platform deployment files.

3.1. Recovering your Ansible Automation Platform deployment

Ansible Automation Platform manages any enabled components (such as, automation controller, automation hub, and Event-Driven Ansible), when you recover Ansible Automation Platform you also restore these components.

In previous versions of the Ansible Automation Platform Operator, it was necessary to create a restore object for each component of the platform. Now, you create a single AnsibleAutomationPlatformRestore resource, which creates and manages the other restore objects:

  • AutomationControllerRestore
  • AutomationHubRestore
  • EDARestore

Prerequisites

  • You must be authenticated with an OpenShift cluster.
  • You have installed the Ansible Automation Platform Operator on the cluster.
  • The AnsibleAutomationPlatformBackups deployment is available in your cluster.

Procedure

  1. Log in to Red Hat OpenShift Container Platform.
  2. Navigate to Operators Installed Operators.
  3. Select your Ansible Automation Platform Operator deployment.
  4. Go to your All Instances tab, and click Create New.
  5. Select Ansible Automation Platform Restore from the list.
  6. For Name enter the name for the recovery deployment.
  7. For New Ansible Automation Platform Name enter the new name for your Ansible Automation Platform instance.
  8. Backup Source defaults to CR.
  9. For Backup name enter the name your chose when creating the backup.
  10. Click Create.

Your backups starts restoring under the AnsibleAutomationPlatformRestores tab.

Note

The recovery is not complete until all the resources are successfully restored. Depending on the size of your database this this can take some time.

Verification

To verify that your recovery was successful you can:

  1. Go to Workloads Pods.
  2. Confirm that all pods are in a Running or Completed state.
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