I’ve been interviewing several people to lead up the Virtualization group of my organization lately and one of the candidates asked me an excellent question, “Well, what do you mean by Virtualization?”. Very good question, am I talking about VMware, the hypervisor, virtualized infrastructure, what? Apparently I’m in a heretical mood these days because my answer was, “No, I don’t mean any of that, I don’t want to limit it to that. When I talk about Virtualization and what I want this team to focus on is bigger than that. Virtualization to me is technology enablement allowing IT to run the workloads you need to where you want to.” Continue reading What is Virtualization?
I’m about to commit a bit of cloud heresy as a technology guy writing about cloud and claiming that it’s really not all about hypervisors, automation and orchestration. Sure, you need a measure of these components in order to be able to deliver on the cloud vision and model efficiently, but does that really solve the problems that are driving the consumers of IT to try and skirt enterprise IT and give their dollars to the public cloud? I think the number of services being consumed that are called cloud but really aren’t and the amount of cloud washing going on in the marketplace clue us in on the fact that it’s not the technology per se that is driving the consumption of cloud. The key thing I am hearing from my customers, and more importantly their customers, is that what is driving people to consume these services, some of which are actually inferior from a service management stand point to what is already offered internally, is the ease of consumption. Consumers are voting with their dollars for quick provisioning, knowing what they’ll pay and the levers that effect that cost, and transparency around what they are getting and using. Continue reading Cloud Heresy
With apologies to Chuck Hollis at EMC and James Governor at RedMonk I decided to take a crack at this whole “Why Applications are like fish and Data is like Wine” meme by extending it to posit that Information is like Cognac. Now, I’m not usually one to kick a dead horse but I think that all the talk of Big Data has maybe obscured something that I view as a problem with Big Data: knowledge workers don’t consume data, they consume information. I see Big Data as a problem quite frankly, and the IDC Digital Universe Study put it in context. If Big Data is the problem, Big Information is the goal, and to get there we need automation and analytics. So if you’ll bear with me I’ll share how I think Information is like cognac.
Continue reading Why Information is like Cognac