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Over the past few years, cloud computing and virtualization have transformed data centers throughout the world. But cloud computing and virtualization are not without their disadvantages, particularly when it comes to complexity and management. Virtual machine sprawl is an all-too-common problem and server consolidation tends to suffer from entropy, with new physical servers hosting virtual servers cropping up on an all-too-constant basis.
While many IT managers consider this complexity and sprawl a necessary price to pay for the benefits of cloud computing and virtualization, there is a better way: mainframes. Today's mainframes are astonishingly powerful and flexible machines that are ideally suited for hosting private cloud environments.
Modern cloud computing dynamically allocates workloads to available pooled resources. The challenge with distributed servers is managing all of that across a wide field of machines. Modern mainframes, like IBM System z, are fundamentally designed to match workloads with flexible resources -- with a degree of balance and optimization that can't be duplicated with a server farm.
Mainframes, essentially, provide fully-realized cloud computing environments in a single box. In this guide, you'll learn how mainframes like IBM System z can provide increased processor power on-demand, providing more and more processor power to those applications that need it. If you need to scale performance, nothing can do it like a mainframe.
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