Scaling IoT to meet enterprise needs
Enterprises are increasingly complementing their cloud-based IoT solutions with edge computing to accelerate the pace of data analysis and make better decisions, faster.
July-September | 2020
Just a few years ago, many expected all the Internet of Things (IoT) to move to the cloud—and much of the consumer-connected IoT indeed lives there—but one of the key basics of designing and building enterprise-scale IoT solutions is to make a balanced use of edge and cloud computing. Most IoT solutions now require a mix of cloud and edge computing. Compared to cloud-only solutions, blended solutions that incorporate edge can alleviate latency, increase scalability, and enhance access to information so that better, faster decisions can be made, and enterprises can become more agile as a result.
That being said, complexity introduced by edge computing should justify the objectives at hand, which include scale, speed, and resiliency. A choice that goes too far in one direction typically introduces substantial operational complexities and expenses. Ultimately, the enterprise should take into consideration a full range of factors that reflect its own particular objectives in designing and building an IoT solution in the first place.
The Deloitte insights article discusses when and how enterprises can optimally make use of both the edge and the cloud in their IoT solutions, explaining the roles edge and cloud computing play, why the edge may be needed, and how to approach selecting a solution.
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