Home
From Wikibon
| Line 1: | Line 1: | ||
__NOTOC__ | __NOTOC__ | ||
| - | '''''<u>Peer Incite:< | + | '''''<u>Peer Incite:</u> Grant, a Sr. Storage Admin at a large bank discusses how heterogeneous storage virtualization can help reduce the budget for 2009.''''' |
{{Click||image=Icon_listen.gif|link= Media:.mp3 | width=67px|height=16px}} | {{Click||image=Icon_listen.gif|link= Media:.mp3 | width=67px|height=16px}} | ||
| Line 27: | Line 27: | ||
[[Storage virtualization design and deployment | read more...]] | [[Storage virtualization design and deployment | read more...]] | ||
|} | |} | ||
| + | |||
Revision as of 21:32, 25 November 2008
Peer Incite: Grant, a Sr. Storage Admin at a large bank discusses how heterogeneous storage virtualization can help reduce the budget for 2009.
WikitipLeverage a buyers' market in 2009EMC is strong and healthy with bundles of resources and loyal customers should take advantage of a buyers market. Users should treat EMC negotiations as a project bringing together finance, legal, technical, business and procurement teams with cross-organizational visibility. As part of this effort, customers should tap EMC's solutions group and secure free performance and integration testing for critical areas such as VMware. |
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. |
|
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. | |||
