Parallels Names CobWeb as a Fastest Growing Cloud Provider on Its Platform
August 12, 2011
Parallels, a provider of virtualization and automation software that optimizes computing, stated that U.K. cloud services provider Cobweb is now one of the fastest growing Hosted Exchange providers on its platform.
According to Parallels, its Automation for Cloud Infrastructure is a turnkey, scalable cloud computing solution that makes it easier than ever for service providers to profitably deliver cloud computing services to SMBs. The infrastructure comes packed with virtualization, automation, billing, and customer self-service capabilities…
Parallels asserted that its aim is to simplify and automate cloud services so that any provider can profit from the cloud. Its partners can get access to quality applications and services from trusted and supported brands, enabling them to build their cloud service business seamlessly.
Cobweb is stated to have been the first UK company to adopt Parallels’ interface platform, which has enabled it to cement its position as a one-stop-shop for its direct customers and resellers. Cobweb Cloud Services combine SaaS (News 
– Alert) and IaaS offerings managed cross premise through its management layer giving one complete transparency in how they view, manage and measure their services.
Cobweb stated that with IT decisions becoming increasingly more strategic, there has been a shift in the perception of Cloud computing with a flood of organizations now keen to utilize the benefits. Flexible, scalable and cost effective, it’s no surprise that uptake in Cobweb’s exchange mailboxes on the Parallels network is booming.
Officials with Parallels commented that Cobweb understands what resellers need to succeed in the SMB market. They realize that offering a complete solution of Microsoft (News – Alert) services is critically important and have leveraged the Parallels solution to make that possible for their resellers – it is a key reason they are one of the fastest growing Hosted Exchange providers using Parallels’ solution.