During the latter half of my career I’ve spent a lot of time working with disruptive application technologies, so I know firsthand just how dynamic and unpredictable new business workloads can be from the perspective of infrastructure utilization. Yet, IT staffs are mainly trying to support this new breed of applications with data center technologies, processes and procedures that were originally developed to manage highly repetitive and predictable sequential transactions. The tension between twenty-first-century workloads and twentieth-century IT is almost palpable, and the answer, according to some, will be something called the software-defined environment (SDE).
Being an inquisitive IBMer (is there any other kind?), I wanted to better understand our SDE strategy. After my searches turned up very little formal information—mainly this brief article on the IBM PartnerWorld website and a short YouTube video—I decided to pay a visit to my good friend and colleague Jeff Frey.
Jeff is an IBM Fellow and Chief Technology Officer of the System z platform. His fingerprints are all over every major advance in mainframe technology for the past 30 years, so I had a feeling that he’d be able to fill my knowledge gap. I was not disappointed!
So what’s the problem?
According to Jeff, even in our current age of massive virtualization—where the physical resources of a computer system can be stretched to support hundreds, or even thousands, of virtual images—those virtual resources are still allocated to workloads on a largely manual basis. Does your web site need new web server instances to handle unexpected demand? Those virtual servers have to be explicitly defined, provisioned and assigned. Today’s automation tools can help, but they don’t fully solve the problem. Data centers really need increased levels of intelligent automation and optimization that leverages virtualization as a foundation and can provide increased levels of operational efficiency, flexibility and responsiveness as well as lower costs.
What is SDE and how does it help?
Jeff believes the answer lies in expressing the virtualized resources of an IT infrastructure as “software.” When you are able to represent hardware as software, you make the entire IT ecosystem programmable, dynamic and subject to far higher degrees of management automation than can currently be achieved.
He says that today most people view virtualization solely as a means to drive higher levels of utilization of their physical resources. We need to take the concept of virtualization a step further and treat it as a mechanism for gaining full operational control over the data center by making the infrastructure programmable.
The goal of SDE is to do just that. Jeff’s view is that SDE provides the means by which compute, storage and network resources are expressed as software and thereby made programmable. A programmable infrastructure enables these precious resources to be put in catalogs, commissioned and decommissioned, repurposed, and repositioned automatically, and it allows them to be extended with “intelligence” that can provide extended levels of resource optimization. It opens the door to unprecedented levels of agility, efficiency and alignment with service level objectives.
Now I have yet to find a data center that is entirely standardized on a single virtualization technology. Looking at compute virtualization alone, one is likely to encounter some mix of IBM PowerVM, z/VM, KVM, VMware ESX server, Microsoft Hyper-V and perhaps a handful of other technologies in any given data center. How is it possible to create a programming layer across such a diverse set of server virtualization technologies?
The answer, according to Jeff, comes from the OpenStack project. The IT industry, including IBM, is settling on OpenStack as the software-defined infrastructure (SDI) for SDE. The OpenStack SDI spans all compute virtual environments and will enable the federation of heterogeneous compute, storage and network environments into a single, programmable infrastructure.
In some ways this is not a new idea; it is the formalization of strategies that a number of industry leaders have been pursuing. For example, VMware’s vision for SDE is being marketed as the Software-Defined Data Center. However, the “data center” in VMware’s strategy is strictly built around x86 resources. Is x86 the only architecture in your data center?
IBM takes a broader and more inclusive view of SDE, driving SDE technology into all of its enterprise systems (such as IBM zEnterprise System), expert integrated systems (such as IBM PureApplication System) and modular and blade (such as IBM Flex System) to deliver an SDE experience that more closely matches the realities of today’s data centers.
How does SDE relate to cloud computing? Stay tuned—I’ll cover that in Part 2. In the meantime, I’ll look forward to hearing your thoughts. Leave your comments below or connect with me on Twitter.
Paul DiMarzio has 30+ years experience with IBM focused on bringing new and emerging technologies to the mainframe. He is currently responsible for developing and executing IBM’s worldwide z Systems big data and analytics portfolio marketing strategy. You can reach Paul on Twitter: @PaulD360.
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