WHITE PAPER:
Learn about a scalable, on-demand infrastructure that leverages Ethernet and a powerful switching platform to help you achieve the most from your private cloud.
WHITE PAPER:
This paper examines the complexity and management challenges presented by the current storage landscape, the explosive growth of data storage requirements and what it all means to businesses.
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In this white paper, you will gain insight on how storage resource management (SRM) application has been evolving over the years to address the challenges expressed by IBMs storage productivity center administrators who are tasked with managing growth, complexity, and storage environments in the most cost effective way possible.
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Do you want an affordable, advanced storage clustering solution with high availability? Discover how you can use LSI Syncro CS solution at a low-cost that is even simpler-to-deploy.
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Looking for a storage platform that stands out amongst the most competitive approaches? Take a look at this short analyst report to learn about Oracle's ZFS unified storage platform. Check it out now to view the specs and key advantages.
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When it comes to choosing a storage area network (SAN) infrastructure, questions about performance, ease-of-use and cost are sure to come up. This technical brief reviews key differences to consider between Ethernet SAN and Fibre Channel SAN infrastructure when choosing a storage solution for your next virtual server or cloud storage project.
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This informative paper explores a new version of one leading vendor's storage operating environment. Find out how this software update eliminates many of the problems associated with typical monolithic or legacy storage systems. Read on to learn more.
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This paper documents best practice configurations for integrating flash with a block storage virtualization appliance. It also details the potential performance gains that such systems can provide and information about your options for cache usage and real-time compression.
WHITE PAPER:
This paper discusses IBM's Real-time Compression—which enables organizations to optimize primary data stores so they can save new information, retain existing data for longer periods of time, consolidate existing systems, or benefit from some combination of the preceding.