WHITE PAPER:
This brief video cuts through some of the confusion surrounding SDS and tells you what to look for – and what to avoid – when choosing an SDS product.
WHITE PAPER:
This IBM white paper describes how Virtualization is an important element of a dynamic infrastructure and expands on the areas of server, storage, application, network, and client virtualization and the IBM technology and benefits from each.
WHITE PAPER:
SUSE needed a new storage infrastructure to accommodate over 80TB of data to host its core SUSE Linux Enterprise internal development environment. This case study illustrates how SUSE utilized one storage solution to address these issues and, in turn, reaped the many benefits.
WHITE PAPER:
Server virtualization technology is here to stay. When choosing a server virtualization application, it's important to understand the many facets various solutions have, and the limitations inherant in them. This paper explains the benefits of InMage's software-based solution.
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This document describes how VMware software can be used with Double-Take from Double-Take Software to provide solutions for challenging high availability and disaster recovery problems. When recoverability matters, depend on Double-Take Software.
WHITE PAPER:
Katten Muchin Rosenman LLP needed to improve the agility and resiliency of its IT infrastructure. Data migrations were causing downtime and disrupting the attorneys' ability to serve clients.Access this case study today to learn how Katten Muchin Rosenman LLP was able to overcome these challenges by turning to a storage virtualization platform.
WHITE PAPER:
Enterprises of all sizes are building flexible storage infrastructures using iSCSI and advanced virtualization technologies to achieve a flexible and dynamic IT infrastructure that is simple to manage and scale. Read this white paper to learn more.
WHITE PAPER:
Highlighted in this custom white paper is a storage solution that offers the simplicity of NAS coupled with the scalability, performance, and simplified management that machine learning, AI, and analytics workloads require.