| Home > Storage Decisions Session Downloads: Storage & Capacity Management Track (Chicago 2008) | |
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With spiraling capacities the norm, managing storage systems has become a challenging task. Traditional SRM tools are often adept on keeping tabs on the state of your storage infrastructure, but more focused applications are becoming increasingly available. Storage virtualization also promises to ease storage management and improve disk usage, but there are inherent issues that need to be fully understood before embarking on a virtualization project. Traditional methods of operational data protection such as RAID tend to be complex and difficult to configure and manage, but some storage vendors are offering compelling alternatives. In this track, we'll also examine power conservation for storage systems, a new requisite for most storage shops struggling to balance increased capacity and soaring energy costs. Downloads included in this track: (click title to download slides) Leveraging Capacity Optimization Technologies Against Primary Storage The data reduction market is now splitting into "primary storage optimization" and "secondary storage optimization." The break out session will discuss the emerging primary storage optimization technologies and the value propositions it offers to end users, identifying the criteria necessary for primary storage optimization offerings, introduce the vendors playing in this space, and discuss the pros and cons of the different architectures and approaches to primary storage optimization. Clustered Storage -- From SMB, to Scientific, to Social Networking and Web 2.0 Everything You Always Wanted to Know About Virtualization -- In One Hour During this session you will hear how virtualization has progressed from vaporware to actual products storage managers are using to centralize data, add flexibility, and change the economics of storage. The Hidden Storage Gotchas of Sever Virtualization and How to Avoid Them Storage and SAN implementations that work well with physical servers often break down and do not work well at all when those servers are virtualized.
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