Most companies, especially those accountable to shareholders, probably wouldn’t want to be known for living on the edge. But in the case of data access and management, the edge—more specifically, edge computing—makes a lot of sense.
With an edge computing approach, data is stored in data centers and colocation sites in regional areas so that it’s close to end users who need to access the information. By relying on off-premise sites for data storage, companies don’t need to worry about maintaining their own hardware.
This kind of IT architecture, in which data storage is part of a powerful network, avoids the problem of latency across long distances. Highly transactional workloads often don’t perform well when they’re separated by a long distance from users. Edge computing is particularly valuable in today’s business environment, with massive volumes of data constantly being generated by people and machines. Placing such data in the cloud can be complex, accessing it can be expensive and the process can hinder IT performance. But, on the other hand, keeping data local doesn’t work because there’s too much data to manage.
Our recent SlideShare, “Why edge computing is critical to hybrid IT and cloud success,” considers how distributed architectures can help bring data to the edge of networks, where users can analyze and interact with the data in real time, as if it were local. As noted by Gartner, companies can leverage edge computing in their data centers to achieve the full value of a hybrid IT environment – and to meet high performance demands while avoiding data access costs. Click through the below slides to learn why and how your organization can benefit from an edge computing approach.