![]() Keep in mind that while remote backups improve your chances of recovery, keeping local copies provides faster and easier recovery. A remote location in this case can be physical offsite storage or the cloud. For this reason, the 3-2-1 backup strategy dictates that you should store one or more backup copies in a remote location, for example, in another city, state, country or even continent. Keeping all of your backups in a single place is not recommended since they could be entirely wiped out in a natural disaster or a building emergency like an office fire. To abide by the 3-2-1 rule, you need to store your primary data and backup copies on at least two different storage media, including internal or external hard drives, NAS, tape and others. Having all your backups on the same type of storage media makes it more likely that both devices would fail at about the same time due to a defect or simple wear and tear. Store two (2) backup copies on different storage media Having a single backup stored in the same location as the primary data means that any disaster that hits your production can also affect your secondary copies. It follows then that the more backup copies you have, the less likely it is that you would lose them all at once. Keeping 3 copies of data is the bare minimum required to ensure that you can recover in any failure scenario, keep recovery objectives low and avoid a single point of failure. Three copies mean the primary production data and two backup copies. Keep at least three (3) copies of your data Let’s take a closer look at each point of the 3-2-1 rule. ![]() This approach is not about choosing one medium over another but rather about finding the right combination of storage media and locations in terms of cost-efficiency, security and flexibility. One of the most common practices is to keep one copy of production data, one backup on a local repository and one backup copy in offsite storage or in the cloud. Store two (2) backup copies on different storage media.īy applying this rule, you ensure that data can be recovered in almost any failure scenario. ![]()
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