Summary

In this chapter, you were introduced to the DevOps and MLOps concepts that are required to bring operational efficiency and agility to IoT and ML workloads at the edge. You also learned how to deploy containerized applications from the cloud to the edge. This functionality allowed you to build an intelligent, distributed, and heterogeneous architecture on the Greengrass-enabled HBS hub. With this foundation, your organization can continue to innovate with different kinds of workloads, as well as deliver features and functionalities to the end consumers throughout the life cycle of the product. In the next chapter, you will learn about the best practices of scaling IoT operations as your customer base grows from thousands to millions of devices globally. Specifically, you will learn about the different techniques surrounding fleet provisioning and fleet management that are supported by AWS IoT Greengrass.