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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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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

Installing IoT Greengrass

Now that you have used IDT to validate that your edge device is compatible with IoT Greengrass, the next milestone in this chapter is to install IoT Greengrass.

From your edge device (that is, the prototype Home Base Solutions hub), open the Terminal app, or use your command-and-control device to remotely access it using SSH:

  1. Change the directory to your user's home directory: cd ~/.
  2. Download the IoT Greengrass core software: curl -s https://d2s8p88vqu9w66.cloudfront.net/releases/greengrass-nucleus-latest.zip > greengrass-nucleus-latest.zip.
  3. Unzip the archive: unzip greengrass-nucleus-latest.zip -d greengrass && rm greengrass-nucleus-latest.zip.
  4. Your edge device requires AWS credentials in order to provision cloud resources on your behalf. You can use the same credentials that you created for the idtgg user in the previous Configuring the AWS account and permissions section:
    1. export AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE...
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