Choose flexible edge deployments carefully

Each edge-computing deployment has very specific requirements, but since the need for edge applications over time may shift, it’s important to find an architecture that works now but is flexible enough to meet future needs.

edge computing iot edge by mf3d getty
MF3d / Getty Images

Many edge-computing deployments are driven by very specific needs, but since new needs may arise down the road with a different set of edge requirements, IT leaders should adopt edge-computing architectures with flexibility and adaptability in mind.

The fact that all edge-computing systems have certain things in common – complex combinations of hardware, applications, infrastructure software and networking – doesn’t mean they should all have the same design.

Every new project requires highly specialized software and integrated custom networking to deliver on project goals across such diverse applications as industrial control, autonomous transportation, health services, public safety and energy management. Each use case will have its unique requirements in terms of performance, response times, quantity of data to be gathered and processed, and cost.

Since projecting the return on investment for these systems remains challenging, it’s best to choose an architecture that is readily customizable in order to minimize the cost of meeting future edge needs.

Deploying an edge computing system requires a complex combination of servers, applications, infrastructure software and networking. The server runs the software-control systems and analytics to translate, for example, large amounts of IoT data into actionable information. Open APIs are available on both software and networking systems to customize traffic flows. The network is designed to deliver the latency and reliability required within the cost constraints. 

To continue reading this article register now