IT costs are escalating, data centers are multiplying, power and space require¬ments are way too high, complexity is increasing, and businesses are locked into static applications that are making them less competitive, not more. This is the state of IT today and something obviously has to change. Well, the “cheap computing” revolution is dawning. So what do we do now?
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The high capital costs of conventional application environments is a major problem for businesses. Some virtualization platforms provide a solution, but many data center resources that could benefit from dynamic management are simply not appropriate for virtualization. To address these issues, organizations need strategy that build on the capabilities of virtualization platforms as part of a comprehensive data center solution.
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As enterprise Java has become more and more pervasive, IT has used Java 2 Platform, Enterprise Edition (J2EE) technologies to build many of its most mission-critical applications, typically over-provisioning hardware to guarantee performance—at an extremely high price. Hence, the goal of automation and virtualization software: to enable IT to provide applications at required service levels and reduced costs.
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Services-oriented architecture (SOA) is known for its building-block software design approach. Less commonly understood is the challenge of managing composite applications whose components are shared by multiple applications. The performance of these components varies with application demand, resulting in dramatic and unpredictable changes in application service levels. However, there is a cost-effective way to resolve the SOA application infrastructure dilemma.
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Across the globe, IT organizations are hindered by applications that were built in silos with tightly coupled dedicated hardware and software, resulting in systems which are too brittle to rapidly respond to new directives. The only way out is to create a more dynamic, real-time IT infrastructure—one that allows resources to be quickly repurposed to the most critical tasks.
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