Atlantis and Convergence and the Software-Defined Data Center
In a previous post, we saw a history of data center storage and ended by discussing the fall of the monolithic storage array. In this post, we’ll take a deeper look at the data center trends and architectures that are enabling that transition away from monolithic storage arrays. First, we must step back and look at how we got here.
The Emergence of Convergence
As the challenges for IT have grown in equal proportions with the ever-increasing scope of their responsibilities, IT decision makers have often looked to outsource parts of their operation. A notable trend for data center “outsourcing” of sorts is now referred to as convergence. Put simply, convergence is the idea of multiple pieces of the infrastructure being assembled prior to delivery to the customer. Convergence saves time and frustration during the deployment phase and provides decreased time to value after procurement.
An example of a common form of convergence might look like this: a rack is delivered to the data center already containing a storage array, a blade chassis populated with blades, and a few top-of-rack switches. Everything is cabled up, and all the configuration of the switching and storage has been done prior to delivery. At the moment the converged stack is delivered, the data center team can roll into place, deliver power and upstream network connectivity, and the pod will be up and running. This model of growing the infrastructure in a data center is substantially faster than the traditional model of having parts delivered, assembling them, hiring consultants, troubleshooting, and so on.
Read the entire article here, Convergence and the Software-Defined Data Center