Distributed cloud computing vs. edge computing
It’s easy to get confused about distinctions between distributed cloud computing vs. edge computing, but essentially distributed cloud can make edge computing much easier to manage and maintain.
As organizations continue to enhance employee and customer experiences, for example, they often need to speed up data processing where their employees, customers or frontline devices are: at the edge of the network.
Although still distributed in nature, edge nodes are set up to process data closer to its point of creation. This could include smartphones, IoT devices, cloud-based point of sales systems and more.
It’s possible for organizations to scale edge computing significantly as part of their growth strategy. This can create challenges for ops teams to set up a large number of individual edge servers and deploy them to container environments, such as Kubernetes, in a consistent way. Distributed cloud helps to address that by offering a single control plane with which to manage multiple edge environments, whether they are sitting in the cloud in containerized clusters or on premises in a warehouse.
It’s not so much a case of distributed cloud vs. edge computing, in other words. The two technologies complement each other to reduce overhead for IT.