WHITE PAPER:
Access this exclusive resource to find out how the combination of HP's converged infrastructure and Red Hat's virtualization software create the perfect platform for consolidating your Linux systems.
WHITE PAPER:
This in-depth white paper discusses Agile, and how it can be implemented on a large scale. Read on to find out what benefits one can expect from enterprise-wide Agile implementation, and what challenges await.
WHITE PAPER:
Developers have seen an increase in the number of mobile projects; however, their load testing tactics have not adapted to facilitate the new popularity. This whitepaper discusses seven key steps to successfully testing and analyzing your organization's mobile load capabilities.
WHITE PAPER:
This paper describes the benchmark results of a leading server/storage configuration. Obtain detailed information on the unique configuration that was tested as well as the specific architectural components.
WHITE PAPER:
Read this informative white paper to learn how you can quickly and efficiently integrate and automate all aspects of your businesses with a family of middleware tools.
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This resource explores the benefits of combining IBM PureFlex System with VMware. Inside, discover how you can implement a reliable cloud-ready infrastructure with integrated hardware and software designed for efficient virtualization. Discover if this combination will bring the benefits your organization needs.
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In this case study, explore a software-defined networking option that simplifies network monitoring for performance issues and enables a secure IT environment for users.
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This resource analyzes the economic benefits of cloud computing in the ERP and CRM space, and details how embracing the cloud can be a competitive differentiator for SMBs.
sponsored by Canon Information & Imaging Solutions
WHITE PAPER:
Your business has critical information stored in digital documents as well as paper ones, and unfortunately, integrating that data isn't always easy. How can you effectively manage business processes when you're fumbling with potentially inaccurate or hard to find data?
