Edge computing doesn’t compete with cloud computing but will complement and complete it. Find out how to incorporate edge computing into your cloud computing plans as a foundation for new application types over the long term.

Edge computing is entering the mainstream as organizations look to extend cloud to on-premises and to take advantage of IoT and transformational digital business applications. I&O leaders must incorporate edge computing into their cloud computing plans as a foundation for new application types over the long term.

Key Findings

■ Latency is often the main reason for deploying workloads to the edge but moving processing and storage closer to users and “things” that are the source of data generation can also address concerns such as bandwidth, data privacy and autonomy.

■ Edge computing augments and expands the possibilities of today’s primarily centralized, hyperscale cloud model and supports the systemic evolution and deployment of the IoT and entirely new application types, enabling next-generation digital business applications.

■ Edge servers and gateways will fill the critical role of intermediary processing node and integrator between multiple “cores” (hyperscale cloud or enterprise-owned data centers) and a diverse set of people, devices and workloads at the edge.

■ 5G is poised to support IoT at scale.

■ IoT at scale. The technical evolution of edge will follow the evolution of application development, delivery and operations, relying on repeatable and reusable microservices at scale.

*Gartner, 2021 Strategic Roadmap for Edge Computing, Published 3 November 2020, Analysts Bob Gill

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