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Cloud Service Provider Quadria Selects Proximal Data’s AutoCache to Deliver on Performance-based SLAs

Proximal Data, the leading provider of hypervisor I/O intelligence software solutions, today announced that Quadria, a cloud and managed services provider with 17 sites across Europe, has selected Proximal Data’s AutoCache to deliver on its performance-based service level agreements (SLAs) with customers. Quadria observed a three-times improvement in virtual machine (VM) density and dramatically improved performance for business applications while reducing high CAPEX costs. AutoCache is a server-side caching solution with I/O intelligence that removes I/O bottlenecks and increases virtual machine (VM) density by up to three times to attain maximum performance for business-critical applications.

Headquartered in France, Quadria serves more than 5,000 customers across key industries such as government, banking, insurance and health care. To meet its performance SLA obligations, Quadria had to dramatically overprovision its Dell servers with DRAM storage.

“What differentiates our services from those of other cloud service providers is being able to guarantee that our customers receive fast and consistent service,” said Cyril Ruche, director of operations at Quadria. “We found our only option was to increase the DRAM on each Dell server, which drove up the acquisition cost of the hardware and required more power, increasing our operational costs as well.”

Quadria learned of AutoCache through StoreAlliance, an EMEA-based storage industry sales and business development consultancy. AutoCache was deployed using a modest amount of Flash (300-400 GB) as a read cache with write-around and write-through semantics. AutoCache employs adaptive caching techniques to optimize performance and efficiency over time for servers running VMware ESXi and Microsoft Hyper-V hypervisors.

“With AutoCache, we were able to meet and even exceed our performance SLAs using much less DRAM,” said Ruche. “That reduced our CAPEX substantially, and we reduced our OPEX as well. Installing AutoCache resulted in a double win that was more than I ever expected.”

Quadria is so ecstatic about the results it received with AutoCache that it has decided to become an AutoCache reseller.

“AutoCache proved to be very cost-effective, with a value-to-cost proposition that is amazingly good,” said Ruche. “We installed and deployed AutoCache very easily, and without disrupting our existing environment. The Proximal Data engineering team was highly responsive whenever we had a question or required any assistance.”

To view the Quadria case study, go to http://proximaldata.com/product/resources/Proximal_Data_Quadria_Case_Study.php

Additional Resources:

Proximal Data AutoCache Data Sheet

Proximal Data AutoCache White Paper

Increasing VM Density With Server-side Caching: Proximal Data Briefing Report

Proximal Data AutoCache Video

Proximal Data AutoCache Tutorial

AutoCache 2.0 Hypervisor-based Caching Video

About Quadria

Quadria holds in France a leading position among local professional services firms. With 17 locations throughout Europe, Quadria has one of the largest representations in the region. The company achieved a consolidated turnover of € 95 million as of March 31, 2013, and employs 320 staff across the country. Quadria is a member of Euralliance’s Network. For more information, visit www.quadria.fr.

About Proximal Data

Proximal Data is the innovative creator of AutoCache server-side caching software with I/O Intelligence that works within virtualization hypervisors. Our technology allows for the granular characterization of each I/O in real time, complete with how the I/O is mapped through the hypervisor and how to control the I/O in the right context. AutoCache uses these hypervisor caching innovations to dramatically increase virtual machine density and performance by eliminating I/O bottlenecks without disrupting IT operations. AutoCache is the most simple, cost-effective way to use enterprise Flash in the data center. For more information, visit www.proximaldata.com.

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