Edge computing - You’ve probably heard the term before!
What is it, exactly? Referring to one of our blog posts , “Edge computing refers to computing that takes place outside of the data center, typically this means bringing IT infrastructure closer to where data is being created and used . Run on a small or tiny hardware footprint, infrastructure at the edge collects, processes and reduces vast quantities of data and can be further uploaded to either a centralized datacenter or the cloud. Edge computing acts as a high performance bridge from local compute to both private and public clouds.”
Evidently, edge computing has an important role in continuing the deployment of IoT devices to help with the massive amount of data they produce quickly and efficiently.
Awesome! Great… But with many applications running on the edge becoming as critical as those in the data center, how can folks match what’s found in the data center? How can they assess the growing mismatch between the importance of the applications and the infrastructure and IT that supports them at the edge?
Well, “to support critical applications with little or no onsite IT staff, edge computing infrastructure has to be more reliable, easy to deploy and use, highly available, efficient, high performance, self-healing and affordable. In many instances, to keep applications running without dedicated IT staff onsite, systems require automation that eliminates mundane manual IT tasks where human error can cause problems.”
And, what can help with that? CI and HCI can actually give businesses the capabilities they need to meet the developing challenges of computing on the edge!
You can read more, here !
With all that being said, have you faced this edge computing mismatch before? Did you implement converged/hyperconverged infrastructures to help?
