Understanding the DevOps toolchain for the edge

In the previous chapters, you learned how to develop and deploy native processes, data streams, and ML models on the edge locally and then deployed them at scale using Greengrass's built-in OTA mechanism. We will explain the reverse approach here; that is, building distributed applications on the cloud using DevOps practices and deploying them to the edge. The following diagram shows the approach to continuously build, test, integrate, and deploy workloads using the OTA update mechanism:

Figure 8.7 – A CI/CD view for Edge applications

The two most common ways to build a distributed architecture on the edge using AWS IoT Greengrass is by using AWS Lambda services or Docker containers.

AWS Lambda at the edge

I want to make it clear, to avoid any confusion, that the concept of Lambda design, which was introduced in Chapter 5, Ingesting and Streaming Data from the Edge, is an architectural...