Top five virtualization problems: Virtualization capacity planning

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Top five virtualization problems: Virtualization capacity planning

Josh Stephens, Fast Packet Blogger

Capacity allocation and usage can change so quickly in a virtual environment that in some cases capacity planning has morphed into what is now called capacity optimization. Capacity optimization is the art of managing

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resources in near real-time to best leverage your infrastructure investments. By constantly balancing resource usage across your infrastructure, you can ensure optimum performance of your IT services and optimum advantage of your resources.

Advancement from traditional data center to private cloud exponentially increases the need for accurate and timely capacity optimization and management tools because it removes even more of the common constraints for system allocation and provisioning. Based on customer demand and the value of doing aggressive capacity planning and optimization, leading vendors of virtualization and storage technologies have recently started including basic capacity planning capabilities within the management tools that they provide. However, because the need for advanced capacity planning is so overwhelming in this area, niche products have also been developed by startups and mature management technology vendors to satisfy the need.

If you remember only one thing from this blog post, I hope it’s this – if you’re not investing in the time, effort and tools for capacity planning and capacity optimization in a virtualized environment, you’re already behind…