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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

Introducing AWS Lambda

AWS Lambda is one of the AWS services that provides a serverless compute to serve all the requests when executing your program. Currently, AWS Lambda for AWS Greengrass supports several program runtimes, such as Python, Node.js, and Java.

Implementing AWS Lambda into your IoT project can cut down on your infrastructure costs, especially, the cost of the server availability feature. You can focus on your problems and design your solution.

For further information about AWS Lambda, I recommend that you read the official documentation from Amazon at http://docs.aws.amazon.com/lambda/latest/dg/welcome.html.

In this section, I will show you how to develop the AWS Lambda function and then invoke it. We will use the Python program to develop the AWS Lambda function and perform the following steps to implement our demo:

  1. Creating the AWS Lambda function
  2. Testing...
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