VKernel Raises the Bar on VMware Capacity Planning

Free Capacity Modeler 1.2 release adds 380 new IBM, HP, and Dell server templates

ANDOVER, Mass., February 2, 2010 — VKernel, award winning provider of virtualization management tools for VMware and Hyper-V environments, today announced the addition of over 380 new IBM, HP and Dell server templates in its latest release of their free Capacity Modeler product. The move underscores the need for accurate virtual machine modeling in public and private clouds as well as heterogeneous datacenters.

Capacity Modeler was first offered as a free product to draw attention to the limited capabilities of VMware’s capacity planning solution - Capacity IQ. Capacity Modeler allows users to quickly test and validate hundreds of “what if” VM deployment and resource allocation scenarios based on the actual specifications of their target physical servers. More accuracy in planning enables users to deploy more virtual machines on servers and storage, saving money while assuring robust performance.

”With the generic server template provided in other modeling tools like VMware’s Capacity IQ, users are flying blind,” said Alex Bakman, CTO. ”This one size fits all approach can lead to over-provisioning and wasting capacity or under-provisioning and performance problems. The need for accuracy is even more critical in hosted and private clouds.”

About VKernel Corporation
VKernel develops virtualization management tools specifically designed for systems administrators and their managers. Delivered as virtual appliances, VKernel products are extremely easy to deploy and use, immediately provide actionable answers, and are offered a fraction of the price of traditional systems management solutions. Over 10,000 systems administrators and their managers use VKernel products to manage the balance between capacity utilization and performance in their VMware and Microsoft virtual server environments. VKernel customers are quickly able to reclaim wasted server and storage capacity, increase utilization rates and performance, and significantly reduce their requirement for additional hardware.