CiRBA Adds Hyper-V Support in Latest Software Update

Data center software provider CiRBA has released version 8, which adds Microsoft Hyper-V support to its Control Console, which enables organizations to optimize infrastructure for high density. The CiRBA platform, which focuses on automated capacity management, already supports VMware ESX, IBM PowerVM, and Red Hat Enterprise Virtualization.

“The shift toward cloud is placing less emphasis on the specific hypervisor technology, and more on the capabilities it provides,” said Andrew Hillier, CTO and co-Founder of CiRBA.  “Having a scientific way to make hosting decisions across all hypervisors and hosting platforms really opens up the playing field, and allows organizations to focus on the bigger picture of enterprise-level supply and demand.”

Concerns about vendor lock-in and hypervisor costs are driving more and more organizations toward multi-hypervisor adoption.   In fact, according to research by Torsten Volk of EMA, 82 percent of organizations plan to adopt more than one hypervisor.

“We are getting demand for Hyper-V,” said Hillier. “We want to make sure that we cover all the major technologies that businesses use, and lets them choose new options. The beauty of the control console is we can see the same thing for a multitude of environments – the components are widely different, but the view is uniform. It allows companies to use one paradigm for all of their infrastructure.”

Version 8 also includes the new Reservation Console announced last fall. The reservation console automates the entire proves of selecting the optimal hosting environment for new workloads and reserving compute and storage capacity. In combination with CiRBA’s cross-platform support, it allows customer to automate “fit for purpose” placements for new workloads across multi-hypervisor, multi-SLA, and multi-site virtual and cloud environments.

Multi-hypervisor adoption, particularly within private clouds, can present a significant management challenge for organizations in determining which workloads should be hosted on each respective platform. In order to help combat the complexity, organizations need to change how they make workload placement decisions.