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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

Chapter 8: DevOps and MLOps for the Edge

The 21st century's flurry of connected devices has transformed the way we live. It can be hard to remember the days without the convenience of smartphones, smartwatches, personal digital assistants (such as Amazon Alexa), connected cars, smart thermostats, or other devices.

This adoption is not going to slow down anytime soon as the industry forecasts that there will be over 25 billion IoT devices globally in the next few years. With the increased adoption of connected technologies, the new normal is to have always-on devices. In other words, the devices should work all the time. Not only that, but we also expect these devices to continuously get smarter and stay secure throughout their life cycles with new features, enhancements, or bug fixes. But how do you make that happen reliably and at scale? Werner Vogels, Amazon's chief technology officer and vice president, often says that "Everything fails all the time." It...

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