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*[[2009 Storage budget cuts - what are your options?|Read the Peer Incite Research]]
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*[[2009 Storage budget cuts - what are your options?|Read the Peer Incite Research Notes]]
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[[Storage virtualization design and deployment | read more...]]
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Revision as of 23:54, 1 December 2008


Peer Incite: Grant, a Sr. Storage Admin at a large bank discusses how heterogeneous storage virtualization can help reduce the budget for 2009.

Media:11-18-08_Peer_Incite_mashup.mp3‎


Wikitip

Simplify infrastructure

IT organizations (ITO’s) need to simplify infrastructure to support the demand for agility from business lines. Two viable approaches to managing complexity are to build resiliency into applications or take more of a services-oriented approach, allowing applications to access a menu of services as required. Both methods are effective however each brings certain trade-offs that ITO’s must consider before moving toward wide scale adoption.

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Featured Case Study

Virtualization Energizes Cal State University

John Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years.

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Storage Professional Alerts


Featured How-To Note

Storage Virtualization Design and Deployment

A main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center. The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more of the largest storage pools within a data center.

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