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Learning AWS IoT

You're reading from   Learning AWS IoT Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Length 278 pages
Edition 1st Edition
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with AWS IoT 2. Connecting IoT Devices to AWS IoT Platform FREE CHAPTER 3. Optimizing IoT Computing Using AWS Greengrass 4. Building Local AWS Lambda with AWS Greengrass 5. Expanding IoT Capabilities with AWS IoT Button 6. Visualizing AWS IoT Data 7. Building Predictive Analytics for AWS IoT 8. Securing AWS IoT 9. Other Books You May Enjoy

Optimizing IoT Computing Using AWS Greengrass

Some companies probably have security policies that do not allow some internal devices, such as computers and IoT devices, to connect to the internet directly. To solve these issues, they provide proxy or bridge servers to accommodate connectivity between internet devices and internet networks. For IoT cases, we can build a gateway server to serve those requests. In this chapter, we will learn how IoT devices connect to AWS and perform computation locally. We will explore and implement AWS Greengrass to serve all IoT devices to perform AWS computations. We will deploy AWS Greengrass and use Raspberry Pi 3 as AWS Greengrass Core.

The following is a list of topics that we will cover in this chapter:

  • Introducing AWS Greengrass
  • Exploring supported IoT devices for AWS Greengrass
  • Deploying AWS Greengrass on Raspberry Pi 3
  • Accessing AWS...
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