BlogUnified Computing Technology Workshop – Is Convergence Right for your Data Center?

Deploying Hyper-Converged Infrastructure (HCI) - ASG -

Data center convergence. Unified computing. Converged infrastructure. All these terms refer to a strategy that’s being billed as less expensive, easier to use, and more flexible than traditional data center management approaches—but is this really a better strategy for your organization?

Converged infrastructure solutions take your high density, high capacity blade environments and combine them with 10 GB networking and Fibre channel over Ethernet (FCoE) protocols. Together, they allow you to rethink the design of your data center, and all the major technology providers have their own ‘stack’ to facilitate this convergence.

Data center convergence maximizes the value and utilization of data center assets, so converged infrastructure solutions can deliver greater resource utilization rates and faster application provisioning. Best of all, companies can achieve these time and cost savings without sacrificing performance and reliability.

Converged infrastructure reduces the need for dedicated, single-use components and limits the overall number of components to manage or troubleshoot. In consolidating resources, data center convergence also reduces the footprint of all data center components, which reduces costs even further. Ultimately, this makes converged infrastructure solutions less expensive, easier to use, and more flexible than traditional management approaches.

Take advantage of a unified computing workshop to see if you should have data center convergence on your radar. We can arm you with questions to ask technology vendors based on your uptime requirements, total cost of ownership needs, and your specific data center environment.

About the Author

Dustin Smith

Dustin Smith, Chief Technologist

Throughout his twenty-five year career, Dustin Smith has specialized in designing enterprise architectural solutions. As the Chief Technologist at ASG, Dustin uses his advanced understanding of cloud compute models to help customers develop and align their cloud strategies with their business objectives. His master-level engineering knowledge spans storage, systems, and networking.