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Intelligent Workloads at the Edge

You're reading from   Intelligent Workloads at the Edge Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801811781
Length 374 pages
Edition 1st Edition
Tools
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Authors (2):
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Ryan Burke Ryan Burke
Author Profile Icon Ryan Burke
Ryan Burke
Indraneel (Neel) Mitra Indraneel (Neel) Mitra
Author Profile Icon Indraneel (Neel) Mitra
Indraneel (Neel) Mitra
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction and Prerequisites
2. Chapter 1: Introduction to the Data-Driven Edge with Machine Learning FREE CHAPTER 3. Section 2: Building Blocks
4. Chapter 2: Foundations of Edge Workloads 5. Chapter 3: Building the Edge 6. Chapter 4: Extending the Cloud to the Edge 7. Chapter 5: Ingesting and Streaming Data from the Edge 8. Chapter 6: Processing and Consuming Data on the Cloud 9. Chapter 7: Machine Learning Workloads at the Edge 10. Section 3: Scaling It Up
11. Chapter 8: DevOps and MLOps for the Edge 12. Chapter 9: Fleet Management at Scale 13. Section 4: Bring It All Together
14. Chapter 10: Reviewing the Solution with AWS Well-Architected Framework 15. Other Books You May Enjoy Appendix 1 – Answer Key

Summary

In this chapter, you learned the basics regarding a specific tool we will use throughout this book that satisfies one of the key needs of any edge ML solution, that is, the runtime orchestrator. IoT Greengrass provides out-of-the-box features to focus developers on their business solutions instead of the undifferentiated work to architect a flexible, resilient edge runtime and deployment mechanism. You learned that the fundamental unit of software in IoT Greengrass is the component, which is made up of a recipe and a set of artifacts, and components make their way to the solution via deployments. You learned how to validate that a device is ready to work with IoT Greengrass using the IDT. You learned how to install IoT Greengrass, develop your first component, and get it running in the local environment.

In the next chapter, we will take a deeper dive into how IoT Greengrass works by exploring how it enables gateway functionality, common protocols used at the edge, security...

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