When Hot Data Goes Cold: Extend the Life of High-Performance Resources with Automated Data Migration

When Hot Data Goes Cold: Extend the Life of High-Performance Resources with Automated Data Migration

Posted in tech

The most recently created data in your organization is the hottest, most accessed data, and as such, it is usually kept on your fastest, most performance oriented and most expensive data tier. Unfortunately, as that data cools, it often remains there, taking up valuable space and adding unnecessary costs.

In fact, according to IBM, “approximately 75 percent of the data stored is typically inactive, rarely accessed by any user, process or application. An estimated 90 percent of all data access requests are serviced by new data—usually data that is less than a year old.” This means that most of the high-performance storage capacity is being wasted on data that is not being accessed.

Sometimes IT will set up tiered storage systems, manually migrating data to storage with appropriate price-to-performance levels as business demands evolve. The problem is that migrations take months of planning and consume a large portion of IT’s budget and resources. Since it’s so hard to move data without disrupting applications, IT may simply opt to pay more to avoid the need to move data, overpurchasing capacity well in excess of expected future demands.

DataSphere automatically moves data to the right resource as it cools, and can even move data back to higher performance storage if it heats up again in the future:


Automate the Flow of Data in Real-Time

Rather than waiting years for a planned migration, DataSphere automates the flow of data as it goes from hot to cold (and back again, as needed), perpetually optimizing data placement across performance and price in a way that is completely transparently to applications. With DataSphere, admins can select the specific storage capabilities required to meet business needs. They can then apply objectives to single files, directories, or shares to provide unprecedented control. DataSphere analyzes if objectives are being met and automatically tiers data, as needed between different storage devices to meet performance, cost or reliability requirements.

With DataSphere, data migrations no longer have to be a stressful event, instead they become a business opportunity for IT to add value by optimizing infrastructure use to meet changing data demands. The value of data changes quickly, and with DataSphere, you finally gain the agility to respond to rapidly evolving business demands.

Want to learn more?

Read the technology brief, Transform Data Migration: From An IT Headache To A Business Opportunity or contact us to schedule a discussion.




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