Over time cloud computing has become mainstream. The adoption of cloud computing continues to grow, as more and more businesses migrate to a cloud solution. This uptake has introduced a complimentary topology; edge computing.

As data quantities in the cloud continue to increase, a potential issue has come to light in some situations; latency in retrieving data from the cloud. Edge computing is designed to help mitigate against these problems by bypassing the latency caused by cloud computing and getting data to a midpoint for processing. This is known as data existing at the edge, closer to where computing needs to happen. For this reason, edge computing can be used to process time-sensitive data in remote locations with limited or no connectivity to a centralised location. In those situations, edge computing can act like a mini data store.

Edge computing will increase with the use of cloud to ensure there is no loss of performance while enjoying the benefits of cloud technologies.

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