Chapter 4: Extending the Cloud to the Edge
In the material leading up to this chapter, all of the development steps were performed on your device locally. Local development is useful for learning the tools and rapid prototyping but isn't representative of how you would typically operate a production device. In this chapter, you will treat your hub device as if it were actually deployed in the field and learn how to remotely interact with it using the cloud as a deployment engine.
Instead of authoring components on the device, you will learn how to use Amazon Web Services (AWS) IoT Greengrass to synchronize cloud resources, such as code, files, and machine learning (ML) models, to the edge and update devices via deployments. The tools, patterns, ...
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