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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

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781801811781

Length 374 pages

Edition 1st Edition

Tools

AWS

Concepts

Edge Computing

Authors (2):

Ryan Burke

Indraneel (Neel) Mitra

View More author details

Table of Contents (17) Chapters

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

Hands-on with the DevOps architecture

In this section, you will learn how to deploy multiple Docker applications to the edge that have already been developed using CI/CD best practices in the cloud. These container images are available in a Docker repository called Docker Hub. The following diagram shows the architecture for this hands-on exercise, where you will complete Steps 1 and 2 to integrate the HBS hub with an existing CI/CD pipeline (managed by your DevOps org), configure the Docker containers, and then deploy and validate them so that they can operate at the edge:

Figure 8.14 – Hands-on DevOps architecture

The following are the services you will use in this exercise:

Figure 8.15 – Services for this exercise

Your objectives for this hands-on section are as follows:

Deploy container images from Docker Hub to AWS IoT Greengrass.
Confirm that the containers are running.

Let...

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Authors (2)

Indraneel (Neel) Mitra

Indraneel (Neel) Mitra

Indraneel Mitra is a Principal Solutions Architect for IoT at Amazon Web Services. He has 17+ years of IT consulting and architecting experience with start ups and Fortune 500 customers across different industry verticals. He has spoken at different events, including AWS re:Invent, AWS Summits, AWS Webinar and Twitch shows, the RSA cybersecurity conference, the Emerging Technologies for Enterprise (ETE) conference, and local meetups on different topics for many years as a seasoned public speaker. Neel is also the co-author and trainer of the popular IoT course, AWS IoT: Developing and Deploying an Internet of Things, available on Coursera and edX. He holds an M.S. in software engineering from BITS Pilani, India.

See other products by Indraneel (Neel) Mitra

Ryan Burke

Ryan Burke

Ryan Burke is a Senior Sustainability Application Architect at Amazon Web Services, formerly the Worldwide Technical Leader for IoT. He has worked in information technology since 2006, developing web services, user experiences, and architecting IoT solutions. He has spoken to audiences on IoT topics at events including AWS re:Invent, SxSW, TDWI, and local meetup communities. He holds a B.S. in computer science from the Georgia Institute of Technology, and served 6 years as a communications officer in the U.S. Air Force Reserves. In his free time, Ryan enjoys yoga, coffee snobbery, games of all kinds, and annoying his family with a new smart home project.

See other products by Ryan Burke

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