Gartner echoes my posting of Friday on Cloud Virtualization. Except they haven’t got it quite right — they don’t quite reach the logical implications of their statements. In the article reporting Tom Bittman’s remarks at a conference, (he is Gartner VP and Chief of Research of Infrastructure and Operations), it recounts his description of cloud computing as being based on four elements: “services-orientation, utility pricing (“whether it’s subsidized, or I pay for it based on use”), elasticity (“perhaps massive elasticity”), and that it is delivered over the Internet.” The first three of this list, Bittman says, are also present as trends within data centers. Therefore, cloud computing and data center virtualization share similar factors. He is completely right about these elements being common to virtualization and cloud computing. He just doesn’t go far enough to tease out the logical extension of this: if they share common elements, there’s really no difference — they’ll end up being the same phenomenon, just applied within different use cases, which will be decided at run-time, not design time. What does that mean? SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe It reflects what I said in my last posting — that the boundary between data center and cloud is going to get porous. Businesses will begin to view in-data center and in-cloud as merely two pool of resources, selected according to criteria set at the time of system turnup. In other words, applications will be designed assuming a basis of virtualized resources; when it comes time to deploy them, the decision about whether to host locally or in the cloud will be made on the basis of external (external to application design, that is) requirements: network bandwidth required, any relevant security conditions, resource availability. Some applications that require very high bandwidth will be located locally to ensure best possible responsiveness. Others that are less network-intensive, but more CPU-intensive, will be put into the cloud, where processing power is available in an on-demand fashion. And applications may be shifted back and forth between the data center and the cloud as conditions change. Applications may even execute in both regions simultaneously. If the application is architected in a virtualized fashion, the locus of execution is irrelevant. So Gartner accurately points out that silo architectures are passe, but still falls into the mental trap of defining the data center and cloud as separate execution silos. It reflects the existing mindset of “I own what’s in the data center, and what’s out there on the Internet is something very different from what I own.” In the past, that was true. It’s still true to a large extent. But given where infrastructure is going to, it won’t be true in the very near future. Related content opinion The changing face of cybersecurity threats in 2023 Cybersecurity has always been a cat-and-mouse game, but the mice keep getting bigger and are becoming increasingly harder to hunt. By Dipti Parmar Sep 29, 2023 8 mins Cybercrime Security brandpost Should finance organizations bank on Generative AI? Finance and banking organizations are looking at generative AI to support employees and customers across a range of text and numerically-based use cases. By Jay Limbasiya, Global AI, Analytics, & Data Management Business Development, Unstructured Data Solutions, Dell Technologies Sep 29, 2023 5 mins Artificial Intelligence brandpost Embrace the Generative AI revolution: a guide to integrating Generative AI into your operations The CTO of SAP shares his experiences and learnings to provide actionable insights on navigating the GenAI revolution. By Juergen Mueller Sep 29, 2023 4 mins Artificial Intelligence feature 10 most in-demand generative AI skills Gen AI is booming, and companies are scrambling to fill skills gaps by hiring freelancers to make the most of the technology. These are the 10 most sought-after generative AI skills on the market right now. By Sarah K. White Sep 29, 2023 8 mins Hiring Generative AI IT Skills Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe