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| - | *[[2009 Storage budget cuts - what are your options?|Read the Peer Incite Research]] | + | *[[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...]] | [[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.
WikitipIntegration makes RPO more important than RTOIT executives should aggressively educate their constituents that improving RPO (recovery point objective) and avoiding data loss/data inconsistency will in general be a better investment than focusing on RTO (recovery time objective) and getting systems up faster. This is because as today's applications increasingly become inter-related, the best and most viable way to perform proper recovery is to do so in an automated fashion, with as little human intervention as possible. Fast recovery with inconsistent data will mean human intervention and a 'rat hole' of endless fixes with uncertain outcomes. |
Featured Case Study
Virtualization Energizes Cal State UniversityJohn 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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Featured How-To Note |
Storage Virtualization Design and DeploymentA 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. | |||
