In July, the promising, young cloud consulting firm, Apptio, named the author to its list of "12 Top Thinkers in Cloud Computing." The Cloud Revolution is "one of the most respected books on the subject," said analyst Chris Pick, in his blog on the list.
To see what others are saying about Management Strategies For The Cloud Revolution, visit the Reviews page.
To view more information about what the author has to say about cloud computing, visit the Blog page.
What’s so different about cloud computing? Just another form of outsourcing, its critics say. But I believe we are witnessing an explosion of computing power applied to terabytes of data by end users. The result will be a new kind of human intelligence.
Cloud computing is a democratizing force, bringing immense computing resources, if not to the common man, then at least to the common businessman, the average university researcher, the typical product designer. And once they learn how to harness this resource, we will discover to our amazement how many of them weren’t average at all.
If cloud computing isn’t new, then why does software designed to run in the cloud look so different from what’s gone before? Hadoop, MongoDB, Cassandra, and Big Table do things differently. They all are prepared to deal with petabytes of data per operation and still come up with fast results, even though the data may be on thousands of different disks. That’s new. That’s cloud computing.
We are witnessing the completion of the PC revolution, where individuals first started to get a sample of what they could do if only they possessed their own computing power. The cloud data centers are made up of those same PC processors and other parts, but they’ve been assembled on a scale not seen before, in the hundreds of thousands. And cloud centers are accessible with the swipe a credit card.
Armed with a rich user interface, the end user will have an easy to use environment for directing cloud data center servers to do what he/she wants, including assembling a new application on the spot. At the direction of the end user, the servers will go to work to produce services that flow out of the cloud in a manner heretofore deemed impossible.
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."
Library Journal review:
"Babcock's book focuses on the management implications of cloud computing, in particular, how managers can position their companies for advantage using the various deployment models... This readable, thought-provoking book will be especially useful to business professionals and practitioners. Summing up: Recommended." -- Prof. Edward J. Szewczak, professor of information systems at Canisius College, reviewer for the Library Journal
June 20: “In the final analysis, there is little doubt that Babcock is intimately familiar with his subject matter and its implications for business. If you want to get some idea of what you will need to know in order to be successful in this arena in the future, then this is a book that definitely needs to be on your reading list.” - Bowling Green, Ky., Daily News