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This white paper offers a cost-effective information management solution that optimizes storage infrastructures while also maintaining the performance and scalability that businesses require.
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Explore how three Cisco software-based initiatives for the core network can help you address the challenges facing core networks today – including the increasing volumes of traffic, diversity of services, and adoption of cloud services.
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This white paper explores a healthcare revenue cycle management solution that addresses key features affected by the industry's rising technologies and requirements.
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This resource reveals the best-value features to look when making a network intrusion prevention system (IPS) by providing performance analysis of a top IPS solution.
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Learn how companies can maximize the return on their investments by moving up to Lotus Domino 8.5 and consolidating from a larger number of x86 servers to a smaller number of IBM Power servers.
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This paper examines the Total Cost of Ownership for a dynamic infrastructure built around private cloud services and compares it to public cloud alternatives as well as conventional one-application-per-distributed server models.
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The white paper Closing the Virtualisation Loop identifies the objectives in the next phase of virtual machine backup and recovery and provides recommendations on how to improve backup and disaster recovery in a hybrid IT environment.
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The goal of this white paper is to provide information about consolidating applications onto a single server using Oracle Solaris Containers to isolate applications and efficiently manage system resources between them.
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Access this resource for a deep dive analysis of the business differentiators among x86, UNIX, and System z virtualization technologies to help you determine the right path for your data center.
WHITE PAPER:
Examine the top five ways you can improve cost efficiencies and reduce TCO with desktop virtualization. You'll also learn about the technologies that can provide the best opportunity to reduce costs and complexity.