Using Virtualization, you can configure virtual machines (VMs) or instances for replication to one or more secondary sites and configure recovery groups for Commvault Auto Recovery. Auto Recovery uses backups of primary VMs to create destination VMs and keeps destination VMs updated using continued incremental backups. Auto Recovery was formerly referred to as Disaster Recovery and Live Sync.
The Commvault software includes multiple auto recovery solutions. Choose the solution that most closely fits your needs based on your environment.
Solution |
When to use |
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Note The RPO will depend on the following:
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Recovery Options
The table below explains how to choose a DR site for Auto Recovery.
DR site | Recovery options |
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Cloud | Hot site recovery: A normal AUX copy process transfers data from the primary storage to a secondary storage copy near the DR site. As each backup arrives, the system creates and updates virtual DR disks, ensuring they remain synchronized with production. During failover, new VMs are spun up in the cloud, and these pre-created DR disks are attached, enabling rapid recovery. Warm site recovery: A normal AUX copy process transfers data from the primary storage to a secondary storage copy near the DR site, but no DR disks or VMs are pre-created. When failover is initiated, DR disks and VMs are created using the latest data. This approach reduces operational cost but increases the recovery time objective. |
On-premises | Hot site recovery: A normal AUX copy process transfers data from the primary storage to a secondary storage copy near the DR site. As each backup arrives, the system creates and updates virtual DR disks and VMs, ensuring they remain synchronized with production. VMs are provisioned but remain idle. During failover, these VMs are turned on, enabling rapid recovery. Warm site recovery: A normal AUX copy process transfers data from the primary storage to a secondary storage copy near the DR site, but no DR disks or VMs are pre-created. When failover is initiated, DR disks and VMs are created using the latest data. This approach reduces operational cost but increases the recovery time objective. |