A screen shot of Open Hosting`s KVM-based cloud hosting services page
(WEB HOST INDUSTRY REVIEW) — Web hosting provider Open Hosting (www.openhosting.com) announced on Tuesday it has launched its new KVM-based cloud hosting platform which offers improved features and functionality to our customers.
The new OHI platform offers customers the ability to instantly create servers, resize capacity to meet IT demands and scale based upon their unique and specific project needs.
In addition, OHI allows customers to run the software of their choice, including Microsoft Windows, and has no restrictions on the customers’ required level of access.
All customers receive full control to install, scale and customize cloud servers that fit their specific needs.
The new platform includes a web control panel and API, advanced Linux KVM virtualization, OHI servers are persistent that behave like “real” physical servers and storage, automatic redundancy, fully independent, scalable resources, and the ability to run it on any os and software.
The platform also offers guaranteed CPU, RAM and storage allocation, the ability to collaborate and share through OHI’s online community, server drive image library, automated 24-hour monitoring and 100 percent service level agreement.
“Our team had been studying the cloud hosting market for some time prior to acquiring Open Hosting and quickly realized the hosting market was moving toward a much more flexible, on-demand model with utility pricing,” says Dave Cummings, Open Hosting’s CEO. “While OHI has been at the forefront of Utility or on-demand pricing, this new, updated KVM-based platform provides customers with incredible flexibility and scalability, allowing them to take full-advantage of the best the cloud has to offer. OHI Cloud Hosting is now as easy and a close to running a physical server as can be.”
Open Hosting says it provides the same computing resources and networking services as traditional dedicated host, but “in a flexible, instantly-scalable form” with “more efficient billing and usage models.”
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