How is Cloud backup different from standard datacenter backup?

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How is Cloud backup different from standard datacenter backup?
How is Cloud backup different from standard datacenter backup?
August 30, 2019

Having a backup is recommended since critical data can be lost during disasters. To keep the business running during a disaster, enterprises need the ability to back up data and applications somewhere secure and provide reliable backup while restoring the system.

These backups can be active or passive depending on the method of execution and DR choice made by the enterprise in the SLAs.Inactive backups, the backup process happens quite instantly from disabled systems with the latest data and codes and keeps it in the repository without prompting permissions from the user. Passive backups, on the other hand, take a short period of time to restore and get back to operations. The former happens to be costlier than passive process and therefore it is ultimately the choice of the business to opt the right method of disaster recovery.

Apart from the above two differences, the process of data center recovery is different from Cloud-based recovery systems and therefore Core Technologies Services, Inc lays out the options for DR management below in both the systems.

Regional Recovery: Setting up recovery at two or more places in the same public cloud can be useful when a disaster hits a system. Data and apps can be replicated exactly to have a seamless and a more cost-effective approach, such as scheduled backup to passive mass storage, to help in the recovery process. This is usually how the data centers work in recovering data during DR management. 

Cloud-to-cloud DR: Using a single public cloud to provide backup to another public cloud allows you to recover your data more efficiently. This seems like the killer method but - multicloud just to supports disaster recovery and that means keeping around two different skill sets, platform configurations, and other costs and risks.

What we understand is that bot he methods are viable but it depends on the criticality of data as both methods require significant investments