Data Storage, Data Backup and Storage Virtualization - eWeek

Data Storage, Data Backup and Storage Virtualization: Super 7 Storage Technologies--and How They Could Backfire


Following are seven storage technologies you must have on your radar, why they're important and how they could backfire.

by Dave Greenfield
 
  • 7 Super Storage Technologies—and How They Could Backfire
    by Dave Greenfield
  • Green Storage
    What it is: The use of storage technologies to reduce the amount of power consumed by enterprises.
    Why it's important: Companies are going green in their servers and in their data centers, so why not in their storage subsystems?
    The catch: What could be wrong about going green?
  • Hierarchical Storage Management in the Array
    What it is: Storage arrays that migrate data from Tier 1 storage to Tier 2 and Tier 3 storage based on a variety of criteria, including last access.
    Why it's important: HSM has been around since mainframe days as a means of optimizing storage investment. Now, vendors are delivering HSM in single arrays, making it simpler to implement the technology.
    The catch: While there is nothing technically wrong with the concept, adding more value-added software on the array is little more than an effort of vendors to prop up the price of already overpriced gear, according to Jon Toigo, former storage system architect and now independent storage analyst and consultant, as well as author of the DrunkenData.com storage blog.
  • Adoption of SSD
    What it is: SSD, or solid-state disk, refers to memory used to store data, be it flash or DD RAM. The technology responds faster and consumes less power than standard hard drives.
    Why it's important: Better performance and lower power consumption than disk.
    The catch: Cost. SSDs are more expensive than most hard-drive technologies right now.
  • Application-Focused Storage
    What it is: Storage architectures managed by the business or infrastructure applications, not the SAN.
    Why it's important: Application-focused storage shows four major benefits: better storage SLA design; improved likelihood of tiering across storage systems; reduced acquisition costs; and the ability to empower application groups to manage storage resources.
    The catch: Storage professionals could be seeing their critical resources taken over by the application people within the organization.
  • Data Deduplication
    What it is: Data deduplication technologies eliminate redundant data at the subfile level from backups.
    Why it's important: Data deduplication can reduce the amount of storage consumed by as much as 20- or 30-to-1.
    The catch: For one, regulatory restrictions require that data be stored unaltered; data deduplication technically violates these mandates by replacing the duplicated data with pointers to the original data, according to Toigo. Also, data deduplication may not be effective in all scenarios. "Based on studies with our vendors, we do not feel deduplication will provide significant benefits," said Melvin Ostrow, CIO at a leading legal firm. "Instead, our staff found an appliance vendor that reduced file size by about 40 percent."
  • Thin Provisioning
    What it is: A storage virtualization technique that provides enough disk capacity for applications to run efficiently, pooling the rest among applications.
    Why it's important: Thin provisioning saves on power and disk usage.
    The catch: Thin provisioning works fine in environments that are predictable, but where there are unexpected data surges, provisioning systems may falter, says Toigo.
  • Disaster Recovery
    What it is: Traditionally, organizations deployed disaster recovery programs to only a subset of technologies within the organization. Now, disaster recovery products use continuous data protection to deliver affordable DR for everyone.
    Why it's important: New DR products are less expensive than traditional offerings.
    The catch: Still requires a sizable investment.
  • Editor's Note: This slideshow was edited to include attribution of some data.
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