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To use edge computing more efficiently, companies must evaluate ways to simplify the edge while accommodating distributed computing and logistics, using the appropriate devices for applications and environments, and employing a better architecture to manage the system.
Traditional methods in enterprise applications can contribute to inefficiency and instability in edge deployments, hurting their performance. To better implement edge computing, businesses should consider an end-to-end solution which uses the IEM model, combines software and hardware, and which was designed specifically for edge computing applications.
The following figure outlines an edge architecture example.
An end-to-end, consolidated platform solution supports edge architectures and can seamlessly connect compute edge—even between different regions—to manage, update, and orchestrate devices and applications. For example, a mature IoT edge compute solution delivers the following:
This IEM model-based approach combines deployment flexibility and manageability from cloud or on-premises data centers with the performance and security that is required for edge computing. The platform provides value by: