Virtualization and Cloud Advisor Blog
Expert analysis and advice on server virtualization technologies, deployments and management.
Our blogger: Bernard Golden is CEO of consulting firm HyperStratus, which specializes in virtualization, cloud computing and related issues. He is also the author of "Virtualization for Dummies," the best-selling book on virtualization to date.
An analysis of IBM's new BlueMix project, which puts most of IBM's software in the cloud, reveals that 80 percent of IT spending goes to legacy systems. As organizations finally learn to stop worrying and love the cloud, IT departments will have to decide if they will continue to be a money pit or can find a way to add value to new cloud systems.
In the past, infrastructure deployment and application updates both slowed the development lifecycle. Now that cloud computing lets organizations provision resources in minutes, not months, it's time to alter the application lifecycle accordingly. DevOps can help -- but only if it extends beyond 'culture change' to actually achieve continuous deployment.
Most of today's applications, and all of tomorrow's, are built with the cloud in mind. That means yesterday's infrastructure -- and accompanying assumptions about resource allocation, cost and development -- simply won't do.
Cloud computing is increasingly becoming the rule and not the exception for application deployment. This will make 2014 an interesting and disruptive year for vendors, service providers and IT organizations grappling with this change.
Amazon Web Services often gets criticized as a platform that doesn't necessarily scale for the enterprise. So at re:Invent, the second annual AWS conference, Amazon made a series of announcements aimed squarely at dispelling these concerns.
For years, operations departments have used adverse selection principles to allocate resources, often deeming small projects unworthy of enterprise computing power. Today, though, the cloud makes computing so cheap that there's no reason to deny any project, no matter how small. Doing so will simply push users to the public cloud -- and beyond IT's control.
Cloud computing obsolesces the idea that IT operations must put users through the ringer to get their hands on scarce resources. Many organizations continue to insist that someone must review resource requests when, in reality, an automated policy engine can do the same thing -- and put computing power in users' hands that much faster.
Many view cloud economics as a question of operating expenses versus capital expenses -- or, more simply, the cost to rent versus the cost to buy. It's more complicated than that, though, since the cloud forces organizations to more thoroughly examine all costs associated with providing IT services.
Alvin Toffler introduced to the term 'information overload,' while Ray Kurzweil told us we'll be overload with more information each decade than in the previous century. There's a lesson for the IT departments of today (and tomorrow): Ignore emerging technology, despite its flaws, at your own risk.
Amazon Web Services has put so much distance between itself and its cloud service provider competition that Gartner had to redraw the dimensions of its Magic Quadrant. Skepticism persists, of course, but the reality is that enterprises dismissing AWS increasingly do so at their own peril.