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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

Deploying AWS Lambda with AWS Greengrass on Raspberry Pi 3

In general, we can deploy AWS Lambda with AWS Greengrass graphically and through command lines. In the previous section, we created the AWS Lambda function. In this section, will will deploy AWS Lambda with AWS Greengrass on Raspberry Pi 3.

You have learned how to deploy AWS Greengrass on Raspberry Pi in Chapter 3, Optimizing IoT Computing Using AWS Greengrass. Please follow the instructions in that chapter to deploy AWS Greengrass Core on Raspberry Pi.

To deploy the AWS Lambda function to AWS Greengrass Core, you should publish the AWS Lambda function and then deploy it into AWS Greengrass Group:

  1. From AWS Greengrass Group, you can add the existing Lambda function that we have already created. You just select your Lambda and its version and click on Next. Then, select on-demand function for the Lambda life cycle...
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