Wednesday, July 18, 2012

Morphlabs Delivers Compact OpenStack Infrastructure, Works with Dell

The OpenStack open source cloud platform that, along with CloudStack and Eucalyptus, has lit a fire under those interested in flexible, new cloud solutions, has just celebrated its second anniversary. In July of 2010, Rackspace Hosting and NASA launched the OpenStack initiative, and since then it has been appearing in new distributions, including Rackspace's own one. Now Morphlabs is offering its OpenStack-based cloud infrastructure, dubbed mCloud Helix.

"This Morphlabs solution is valuable to customers interested in a simple deployment for a compact private cloud," said John Igoe, executive director of Cloud and Big Data Solutions at Dell, in conjunction with the announcement. "The combination of Dell PowerEdge C servers and Morphlabs' software enables customers with a streamlined, efficient approach to private cloud infrastructure."

The mCloud Helix solution is purportedly designed to be very scalable, letting users add mCloud Helix units as compute and storage needs increase. The announcement also points to some interesting partnerships, including one with CoreSite, a national provider of powerful, network-rich data centers, which has optimized its infrastructure for customers to deploy their own mCloud Helix units.

As we've said before, the key with all these new cloud platforms will be top-quality support. Through partners such as Dell, it sounds like Morphlabs will be distributing support efforts across hardware and software implementations and vendors.

"The mCloud Helix empowers customers to take home and immediately deploy private clouds using best-of-breed open source software and hardware without requiring a massive CapEx investment," said Morphlabs CEO Winston Damarillo, in the announcement. "Working closely with Dell, we have packed the high performance benefits of mCloud into a remarkably small footprint, making it possible for small and medium businesses to grow industry standard private clouds to match workloads without investing in massive, complex build-outs."

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