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October 25, 2012

Truliant Federal Credit Union Selects Caringo Object Storage

Recently, Caringo announced that Truliant Federal Credit Union has selected CAStor for the long-term storage of business-critical files. These files consist of video, call center audio, ATM receipts, check images and e-mail archives.

CAStor by Caringo is a piece of software that allows large scalability and future-proof accessibility of unstructured data. CAStor brings together server and networking resources and combines them with state-of-the-art management, optimization and self-healing technology, by using any combination of standard x86 server hardware, any size hard drive and any type of storage.

By utilizing CAStor, Truliant can produce a large scalable pool of storage on the company's choice of commodity x86 server hardware.

By doing this, the company gets high performance and immediate accessibility, irrespective of capacity or file count.

Also, facilitating the elimination of dedicated power distribution and network switches, the company can also look to decrease its storage footprint and expenses by 42 percent.

“Service is key for Truliant and its members' information is of paramount importance, which is why they needed a storage solution that evolves with their business and member needs," said Mark Goros, CEO at Caringo. "Our storage software removed Truliant's reliance on proprietary hardware offerings, giving them the flexibility to continue to benefit from hardware price, performance and capacity improvements without disruption to operations, all while ensuring data is completely secure and accessible for as long as they need it to be.”

Recently, the company announced a few tips to consider before investing in an object storage platform. An Object-based Storage Device is a computer storage device, identical to disk storage but functioning at a higher level. An OSD organizes data into flexible-sized data containers, called objects, instead of offering a block-oriented interface that reads and writes fixed sized blocks of data.

Edited by Braden Becker

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