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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
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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

Chapter 9: Fleet Management at Scale

The Internet of things (IoT) had a humble beginning in 1999, in Procter & Gamble, when Kevin Ashton introduced the idea of integrating a radio-frequency identification (RFID) antenna into lipstick shelves to enable branch managers to better track cosmetic inventories for replenishments. Since then, this technology has been adopted across all industry segments in some form or another and has become ubiquitous in today's world.

Managing a set of RFID tags, sensors, and actuators inside a known physical boundary is a relatively easy task. However, managing millions (or billions or trillions) of these devices globally throughout their lifecycle is not. Especially when these devices are spread across different locations with various forms of connectivity and interfaces.

Therefore, in this chapter, you will learn about the best practices of onboarding, maintaining, and diagnosing a fleet of devices remotely through AWS native services...

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