| By Virtualization News | Article Rating: |
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| October 11, 2007 04:30 PM EDT | Reads: |
6,183 |
Today the data center is being challenged, more than ever before, to reduce operational cost, increase overall utilization and improve operational efficiency: “Do More with Less”. All the while data center managers are reminded by the lines of business that “time is money” and applications and services must be available according to the Service Level Agreements (SLAs) established between the business and its consumers. The question for the IT professional becomes “How do I reduce cost and increase utilization of my infrastructure and at the same time support – and improve – SLAs?” The answer to this question lies in the rise of virtualization technologies and their direct impact on the way IT delivers value to the business. Specifically, application virtualization enables the alignment of demand for applications with the available supply of compute resources. It also does this based on the relative importance of an application, or class of consumer, with the automatic allocation of available resources based on policy – determined by the business.
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Employing application virtualization as part of a virtualization strategy ensures that the applications and services most vital and critical to the business consistently deliver on their SLAs by ensuring the right resources are available at the time needed, dynamically and in real-time. The result is a data center that is directly aligned with the often unpredictable needs of the business.
Speaker Bio:
Gordon serves as the Virtualization Evangelist for DataSynapse, and is an industry veteran with twelve years of experience as a systems engineer and solution architect. In his role, Gordon is responsible for communicating the value of products and solutions to various audiences, including customers, partners, prospects and the market at large. He is also a global resource to the field operations team, providing in-depth knowledge of products and expertise in infrastructure software.
Prior to becoming the Virtualization Evangelist, Gordon was director of systems engineering for DataSynapse, working directly with product marketing, and engineering and support. Before joining DataSynapse, Gordon held several positions in systems engineering and solution architecture at Borland Software, Oracle, WebGain, ObjectSpace, Sun Microsystem and ObjectDesign. Gordon has also worked as an adjunct professor of computer science for the University of Massachusetts.
Published October 11, 2007 Reads 6,183
Copyright © 2007 SYS-CON Media, Inc. — All Rights Reserved.
Syndicated stories and blog feeds, all rights reserved by the author.
More Stories By Virtualization News
SYS-CON's Virtualization News Desk trawls the news sources of the world for the latest details of virtualization technologies, products, and market trends, and provides breaking news updates from the Virtualization Conference & Expo.
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Virtualization News Desk 10/11/07 04:45:47 PM EDT | |||
The question for the IT professional becomes 'How do I reduce cost and increase utilization of my infrastructure and at the same time support - and improve 'SLAs?' The answer to this question lies in the rise of virtualization technologies and their direct impact on the way IT delivers value to the business. Specifically, application virtualization enables the alignment of demand for applications with the available supply of compute resources. It also does this based on the relative importance of an application, or class of consumer, with the automatic allocation of available resources based on policy - determined by the business. |
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Virtualization News Desk 10/11/07 04:43:51 PM EDT | |||
The question for the IT professional becomes 'How do I reduce cost and increase utilization of my infrastructure and at the same time support - and improve 'SLAs?' The answer to this question lies in the rise of virtualization technologies and their direct impact on the way IT delivers value to the business. Specifically, application virtualization enables the alignment of demand for applications with the available supply of compute resources. It also does this based on the relative importance of an application, or class of consumer, with the automatic allocation of available resources based on policy - determined by the business. |
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