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Multi-VM Restore

This restore mode orchestrates the restore process of multiple virtual machines from the VMware environment in a single restore job. You can select virtual machines backed up in different VMware backup jobs, choose the order in which the VMs will be restored and restore them to a new data store.

The virtual machines are restored in the instant virtualization mode, allowing quick access to the restored data. The VMs can then be fully restored, using the Rapid Return to Production (RRP) feature.

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Important. Restoring an encrypted VM in the VMware environment will result in creating a machine with unencrypted data. For details, see vSphere documentationarrow-up-right.

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Prerequisites

  • Successful agentless VMware backup of a Linux VM and a Windows VM

  • Access to a VMware vCenter node

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Running a Multi-VM Restore

  1. Log in to the DPX Master Server.

  2. Select Job Manager from the sidebar, then click New Restore Job in the upper right corner of the Jobs tab.

  1. Select Multi-VM Restore, click Next, then click Add virtual machines.

  1. Select both virtual machines and click Add.

  1. You can change the order in which the virtual machines will be restored or keep the random order. Click Next.

  1. Select the destination for the restored VMs:

    • Node name – select the target VMware vCenter node

    • Target Host/Cluster – select the host or cluster where the VM will be restored

    • Target Datastore – select the datastore for the VM data

    • VM Folder – select the destination folder within the VMware vCenter structure.

  2. Click Next.

  1. Leave Network Settings at their default. Click Next.

  1. Specify Job Name. Switch the Add prefix to the restored machines’ names to on, then specify a short prefix to distinguish your restored machines from the original ones. Leave other options at their default. Click Next.

  1. Review the job definition summary, and click Save.

  1. When prompted to confirm running the job, click Yes. You will be redirected to the Job Monitor view filtered with the job’s name, where you can monitor the progress of the job instance.

Once the job instance is finished successfully, you will see the Completed status in green.

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