Databarracks and NCC launch Guidelines paper for ‘Disaster Recovery in the Cloud’

Infrastructure as a Service (IaaS) provider, Databarracks (www.databarracks.com), in association with the National Computer Centre (NCC), has launched the Guidelines for Disaster Recovery in the Cloud, aimed at providing practical advice on disaster recovery (DR) when using cloud services.

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99% of corporate IT users will be overpaying for storage performance in 2013

In a search for more IOPS to power business critical applications, SME and enterprise users are increasingly turning to solid state storage, but in the process 99% of them will overpay in 2013 for performance they don’t need and sacrifice capacity, according to industry experts at Tegile Systems (www.tegile.com), a provider of hybrid storage arrays for virtualized server and desktop environments.

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Computacenter honoured with EMC Enterprise Partner of the Year 2012

Computacenter has been named EMC Enterprise Partner of the Year at the EMC 2013 Channel Awards on February 12th for the second year running. The award recognises year-on-year growth and the continued work between the two companies in the channel.

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Fast, easy migration to Windows Azure

Vision Solutions, Inc. has confirmed that its Double-Take® MOVE™ solution has all the capabilities enterprises require to migrate their Windows Server workloads into Microsoft's Windows Azure Infrastructure Services cloud platform, which was announced on 16th April. Double-Take MOVE enables enterprises to perform easy, no-risk, near-zero downtime migrations from any combination of physical, virtual or cloud platforms into the new Windows Azure Infrastructure Services.

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Simplifies data management and leverages Microsoft Azure cloud infrastructure.
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How Clifton College solved its data backup problems

Clifton College is one of the UK’s leading co-educational independent schools. Cristie Data provides the Bristol-based private school with a fully managed, scalable and reliable cloud backup solution that protects pupil data and can easily scale to meet future data growth.

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