Cirrus data Solutions, a software developer for migration and data caching for corporate data centers and storage area networks (SAN), now supports the SAN migration for legacy Microsoft Azure, making it easy for companies to migrate to Azure cloud hosting services.
the platform of Microsoft's cloud computing, Azure, is a growing collection of integrated services - analysis, data processing, database, mobile, network, storage and web. As Microsoft Azure Cloud Partner Certified , Cirrus data provides a solution that responds to large-scale migration projects within tight deadlines.
The Data Migration Server (DMS) data Cirrus Solutions eliminate both the need for downtime and the load on the virtual machines associated with the migration of their existing locations and can be throttled so that there is no effect on production.
appliance software supports all data types of migration programs , including :. Local refresh storage, remote storage (data center move), cloud inheritance (physical to virtual), cloud to cloud, cloud data center, and other common storage management practices
"Microsoft Azure is a cloud hosting platform attractive for companies to offload their workloads," said Wayne Lam, CEO of Cirrus data . "We are pleased to add Azure as a destination of migration tested and optimized to help companies eliminate downtime and risk when what is otherwise a migration process nerve-wracking. "
Data Storage
Based in Syosset, NY, Cirrus data solutions was founded in August 2011 by a data storage expert team, each with more than 20 years of experience and specializes in providing plug and play solutions based on SAN storage data requires zero changes to existing infrastructure
"We are delighted that the solutions Cirrus data will now be available in the Microsoft Azure Marketplace, "said Nicole Herskowitz, senior product marketing manager, Microsoft Azure ." the Cirrus data Solutions DMS solution provides a unique toolset that eliminates a much of the work and complexity associated with migration from the principle of data centers. "
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