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Download "Git Adoption in the Enterprise: Factors to Consider"

With the rise in popularity of Distributed Version Control Systems (DVCS) in recent years, Git has gained momentum. Similar to the Agile movement that has been transforming the software world, Git is rising to popularity because of developers’ passion for better software and efficiency. But is the enterprise ready to adopt an entirely new model of working, possibly sacrificing the process management and security aspects of traditional software configuration and change management (SCCM)?

In this paper, you will learn about:
• The reasons developers choose to use Git as their SCCM tool
• The hidden risks of using Git across an enterprise that often lead to costly manual workarounds
• Alternative solutions that integrate with Git to make it enterprise-ready

Sponsor: AccuRev

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Fabric-Based Computing Enables Optimized Hyperscale Data Centers

Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.

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Sponsored by AMD

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Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6

Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.

Learn more about catching the bad guy in this free white paper.

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Sponsored by DLT Solutions