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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

Building IoT projects with AWS Greengrass

In this section, we will build a simple scenario to access AWS Greengrass. We will build an AWS Lambda application into AWS Greengrass. Then, we will access it from the client application. Our scenario is illustrated in the following figure:

To implement this demo, we will perform the following tasks:

  1. Prepare libraries on AWS Greengrass Core
  2. Create AWS Lambda
  3. Deploy AWS Lambda to AWS Greengrass
  4. Test

Each task will be explained in the following sections.

Preparing runtime libraries on AWS Greengrass Core

The first task to ensure our AWS Lambda runs well on AWS Greengrass Core is to prepare all requirement modules/libraries. In general, we can define three modules/libraries that should...

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