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Druva Automates Storage Tiering for AWS

Druva’s cloud-native offering uses machine learning to automate storage tiering, moving data between tiers depending on how frequently the data is accessed.

Druva has announced an all-cloud storage and backup solution with built-in automated tiering designed for AWS storage.

The software-as-a-service (SaaS)-based offering uses machine learning and policy management to move files and records between different tiers of storage such as AWS Glacier S3 and Glacier Deep Archive based on how often they are accessed. For example, if data is accessed frequently for a period of two weeks, it will be available more quickly on premium storage levels, but once that data access drops off, it will automatically be moved to a less expensive storage tier.

While the concept of storage tiering isn’t new, the way Druva is using it in a pure Amazon environment is, said Phil Goodwin, a research director at IDC.

“We estimate that about 60% of an organization’s storage is cold [not expected to be accessed within 30 days], 30% is warm [expected to be accessed within 30 days] and 10% is hot [expected to be accessed within 24-48 hours],” he explained. “For cold and warm data, an all-flash infrastructure isn’t as economical because that data doesn’t need that kind of data access. This is a great method of optimizing the cost of storage.”

It’s a matter of practicality, he added. “The reality is that you probably won’t retrieve data from a backup after about a week. After it has been sitting in a backup for 30 days, chances are that it won’t be accessed for a long time—if ever—so it makes sense to move it to a much less expensive class of storage.”

Druva also calls out cost as a major driver for this type of solution. According to the company, using a product like this can reduce total cost of ownership (TCO) by up to 50%.

When it comes to implementing the new Druva offering, there are two basic options: Organizations can either rely on the system to analyze the data and assign it to the correct tier, or they can manually select data tiering based on their own criteria. Goodwin expects that while some organizations may start with the second option, they will begin to allow the system to manage storage tiering as they become more comfortable.

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