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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

You should now have a working definition of the edge of computing topology and the components of edge solutions such as sensors, actuators, and compute capability. You should be able to identify the value proposition of ML technology for smart home and industrial use cases running at the edge. We created an imaginary company, scoped a new product launch, and described the overall architecture of the solution you will deliver throughout the rest of this book.

In the next chapter, you will take your first steps toward developing the edge solution by learning how to orchestrate code on your edge device with AWS IoT Greengrass. If the prerequisites of your two hands-on systems are ready to go and your AWS account is set up, you are ready to go!

You have been reading a chapter from
Intelligent Workloads at the Edge
Published in: Jan 2022
Publisher: Packt
ISBN-13: 9781801811781
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