Cloud computing has rewritten decades of technology rules. Take a closer look at 10 innovators who helped make it possible.
4 of 11
Randy Bias, cofounder and CTO of CloudScaling, has been a specialist in IT infrastructure since 1990, which positioned him to think through and lead some of the leading cloud computing innovations. He was a pioneer implementer of infrastructure-as-a-service as VP of technology strategy at GoGrid, a division of hosting provider ServePath. GoGrid launched a public beta of its Grid infrastructure in March 2008.
He pioneered one of the first multi-platform, multi-cloud management systems at CloudScale Networks and went on to found CloudScaling, where he was a successful implementer of large-scale clouds based on a young and unproven open source code software stack, OpenStack. Those large-scale clouds included KT, the largest cloud service in Korea (formerly known as Korea Telecom), and big data center services provider Internap.
Part of the support OpenStack receives is based on these implementations, and Bias was elected as one of eight gold-sponsor board members of the OpenStack Foundation. He keeps an unvarnished point of view on cloud claims and cloud pretensions, and is known for his uncompromising point of view. In 2009, he advocated the efficiencies of cloud computing as a way to counter climate change.
The O'Reilly Radar blog says Bias "led the open licensing of GoGrid's API, which inspired Sun Microsystems, Rackspace Cloud, VMware and others to open license their cloud APIs."
Multicloud Infrastructure & Application ManagementEnterprise cloud adoption has evolved to the point where hybrid public/private cloud designs and use of multiple providers is common. Who among us has mastered provisioning resources in different clouds; allocating the right resources to each application; assigning applications to the "best" cloud provider based on performance or reliability requirements.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?