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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

Describing the AWS Well-Architected Framework

In 2015, AWS launched a framework for guiding developers through the process of making good design decisions when building on AWS. The AWS Well-Architected Framework codifies the best practices for defining, deploying, and operating workloads on the AWS cloud. It exists as a whitepaper of best practices and a web-based tool to approach a solution evaluation as a checklist of considerations and suggested mitigation strategies. This expertise aims to serve AWS customers but is delivered in a format that is generally useful for evaluating any kind of digital workload. We will use this framework to retroactively review this book's solution of the Home Base Solutions appliance monitoring product.

The Well-Architected Framework organizes best practices into five pillars. A pillar is a section of the framework that aggregates design principles and guiding questions to resolve under a common purpose. The five pillars are as follows:

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