You’re Right: You Don’t Need Another Storage Mousetrap

You’re Right: You Don’t Need Another Storage Mousetrap

Posted in tech

Storage veteran and blogger Marc Farley recently vlogged about how the industry is currently driving in circles. Flash-based and hyperconverged storage systems have been proliferating in recent years as companies battled to build a better mousetrap for customers. Sadly, this has recently led to layoffs at more than a few vendors, which is not a win for any company, customer or family. Primary Data co-founder David Flynn saw this shift taking shape from a front row seat a few years ago at Fusion-io, and began to think about solving the bigger problem: How to set data free from all these different storage silos.

Flash revolutionized the datacenter at exactly the same time that the cloud came to the mainstream.  These innovations brought us speed and savings, as well as more silos to add to enterprises’ existing collections of SAN, NAS, DAS and disk storage. David saw that companies had plenty of storage options that offered a variety of different features. What enterprises didn’t have was a way to see which data was active, which was cool, and, importantly, a way for data to move transparently across different storage types as needs changed. While storage virtualization had tried to achieve this within one storage silo, nothing could do this across all their existing storage, no forklift required.

Enter Data Virtualization

This vision was what brought about the development of DataSphere, Primary Data’s storage-agnostic data virtualization platform. DataSphere gives enterprises visibility into data access across different storage types, so companies can finally see what is hot and what is cold.

If you’ve got cold data sitting on a high performance resource, DataSphere can move it to a more cost-effective storage system to free up capacity for data in need of speed. This can all be driven by Smart Objectives so that IT can automatically ensure application Service Level Agreements are met, while also aligning resources to changing data demands.

Automated Management Ahead

Interestingly, industry research firm Gartner also sees policy- (or objective-) based management ahead. In an April 2015 report on the Software Defined Datacenter, Gartner analysts noted that IT will soon move to programming policies for storage, network and compute allocation rather than using manual processes.

With data demands exploding, storage has got to get smarter. DataSphere was designed to use what you’ve got to its maximum potential, so that your IT team can do the same and evolve systems to continually meet the needs of your enterprise.



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