What is hypervisor-based replication, and how does it compare with other software-based replication?
Hypervisor replication is a technology that automatically creates and maintains replicas of virtual hard disks or entire virtual machines (depending on the platform that is being used). This is different from traditional backups because the replication process is ongoing as opposed to traditional backups that normally run at scheduled intervals.
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Generally speaking, hypervisor replicas are more of a disaster recovery solution than a backup replacement. If a host server or a storage array were to be damaged, resulting in the loss of virtual machines, then replicas could be used to replace those virtual machines. However, replicas are not good for performing item-level restoration of files, folders, applications, etc. The reason for this is that replicas usually mirror the contents of the primary host server.
If a file has been erased from the primary copy of a virtual machine, that file will be removed from the replica as well. Some replica solutions allow for the creation of snapshots (which make point-in-time restorations possible), but snapshots are not a good substitute for a traditional backup.
Dig Deeper on Backup for virtual servers
Related Q&A from Brien Posey
Setting up Office 365 generally involves multiple devices. With nonpersistent VDI, the rules of the game change for IT admins.continue reading
Much has been said about the inability to scale storage separately from other resources in a hyper-converged system, but are there any advantages to ...continue reading
The definition of hyper-converged infrastructure has evolved as the technology has grown. But the phrase still means different things depending on ...continue reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.