HP boosts application performance with HP 3PAR Solid State technology

INDUSTRY

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Image: By HP
HP boosts application performance with HP 3PAR Solid State technology

HP recently announced an all-solid state drive (SSD) configuration for HP 3PAR P10000 Storage to improve organisations’ application performance while reducing operational costs and IT complexity.

Organisations with massive cloud and virtualised environments are turning to SSDs to address application performance gaps and improve infrastructure efficiency. However, integrating SSDs in legacy IT environments can be challenging and costly, requiring administrators to move data manually between storage tiers to optimise service levels. This extremely time-intensive process increases data-center maintenance requirements, which can eliminate the performance and cost benefits that SSDs deliver.

The new all-SSD configuration for HP 3PAR P10000 Storage solves these administrative challenges using automatic storage-tiering capabilities with the included HP 3PAR Adaptive Optimisation Software. The solution distributes data to the right storage tier at the right time, reducing data-center management costs and maximising system performance.

“Before our move to HP 3PAR Adaptive Optimisation Software with solid state, service levels were being compromised and substantial time was spent moving between tiers reactively,” said Ken Kirchoff, director, Unix Systems and Storage, Priceline.

“Now that data is automatically tiered using HP 3PAR Storage with Adaptive Optimisation Software, our total cost of ownership has dramatically improved, and our staff has more freedom to concentrate on strategic growth opportunities.”

 

The new all-SSD HP 3PAR P10000 Storage system delivers the same industry-leading performance as the existing HP 3PAR P10000 using a fraction of the number of drives, further reducing client data-center footprint and energy costs. This all-SSD system supports up to 512 SSDs per array—an increase of four times. As a result, it lowers client cost per input/output operations per second by 70 percent, and reduces cost per kilowatt hour by more than 80 percent, making it ideal for performance-driven applications.



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