Learning AWS IoT E-Book

Agus Kurniawan

• Herausgeber: Packt Publishing
• Kategorie: Fachliteratur
• Sprache: Englisch

Seitenzahl: 159

Veröffentlichungsjahr: 2018

Beschreibung

The Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and versatile management console.
This book initially introduces you to the IoT platforms, and how it makes our IoT development easy. It then covers the complete AWS IoT Suite and how it can be used to develop secure communication between internet-connected things such as sensors, actuators, embedded devices, smart applications, and so on. The book also covers the various modules of AWS: AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases.
Near the end, the book supplies security-related best practices to make bi-directional communication more secure. When you've finished this book, you'll be up-and-running with the AWS IoT Suite, and building IoT projects.

Leseprobe

Learning AWS IoT

Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning

Agus Kurniawan

BIRMINGHAM - MUMBAI

Learning AWS IoT

Copyright © 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Gebin GeorgeAcquisition Editor: Heramb BhavsarContent Development Editor:  Abhishek JadhavTechnical Editor: Swathy MohanCopy Editors: Safis Editing, Dipti MankameProject Coordinator: Judie JoseProofreader: Safis EditingIndexer:  Rekha NairGraphics: Tom ScariaProduction Coordinator: Nilesh Mohite

First published: January 2018

Production reference: 1250118

Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. 

ISBN 978-1-78839-611-0

www.packtpub.com

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Contributors

About the author

Agus Kurniawan is a lecturer, researcher, IT consultant, and author. He has more than 16 years of experience in various software and hardware development projects for various companies. He also has been delivering materials in training and workshops, and delivering technical writing. He has been awarded the Microsoft Most Valuable Professional (MVP) award for 13 years in a row. He is currently doing some research related to software engineering, machine learning, networking and security systems at the Faculty of Computer Science, University of Indonesia, Indonesia.

I would like to thank the Amazon AWS and IoT communities anywhere in the world for contributing and making learning AWS IoT easy. Last, a thank you to my wife, Ela and my children, Thariq and Zahra for their great support to complete this book.

About the reviewer

Ruben Oliva Ramos is a computer systems engineer from Tecnologico of León Institute, with a master's degree in computer and electronics systems engineering, with a specialization in teleinformatics and networking from University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi using web frameworks and cloud services to build the IoT applications.

I would like to thank my lord, Jesus Christ for giving me strength and courage to pursue this project; to my dearest wife, Mayte; our two lovely sons, Ruben and Dario; to my father (Ruben); my dearest mom (Rosalia); my brother (Juan Tomas); and my sister (Rosalia), whom I love, for all their support while reviewing this book, for allowing me to pursue my dream, and tolerating me not being with them because of my busy job.

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Table of Contents

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Conventions used

Get in touch

Reviews

Getting Started with AWS IoT

Introducing AWS IoT

Introducing IoT devices and platforms for AWS IoT

Arduino

Raspberry Pi

BeagleBone Black and Green

IoT boards based on ESP8266 MCU

IoT boards based on ESP32

IoT boards based on TI CC32XX MCU

AWS IoT Management Console

AWS IoT Device SDK

Setting up AWS IoT for your IoT project

Creating an AWS account

Selecting an IoT device

Creating a security certificate

Configuring security access for AWS IoT

Setting up the development environment

Building an AWS IoT program

How to work with the program?

Testing all

Summary

Connecting IoT Devices to AWS IoT Platform

Introducing a connectivity model for AWS IoT

Selecting your IoT devices for AWS IoT

Configuring IoT devices to AWS IoT

AWS IoT development for Raspberry Pi 3

AWS IoT development for Arduino

AWS IoT development for boards based on ESP32

Building an IoT project with AWS IoT

Configuring AWS IoT

Developing the Arduino program

Developing a sensor subscriber

Testing

Summary

Optimizing IoT Computing Using AWS Greengrass

Introducing AWS Greengrass

Exploring supported IoT devices for AWS Greengrass

Deploying AWS Greengrass on Raspberry Pi 3

Preparing Raspberry Pi 3

Configuring Raspberry Pi 3 and IoT devices to AWS IoT

Configuring AWS Greengrass security

Installing AWS Greengrass on Raspberry Pi

Accessing AWS Greengrass

Building IoT projects with AWS Greengrass

Preparing runtime libraries on AWS Greengrass Core

Creating AWS Lambda 

Deploying AWS Lambda with AWS Greengrass

Testing Lambda from Greengrass

Summary

Building Local AWS Lambda with AWS Greengrass

Introducing AWS Lambda

Creating the AWS Lambda function

Testing the AWS Lambda function

Publishing the AWS Lambda function

Configuring AWS Lambda security

Invoking the AWS Lambda function

Deploying AWS Lambda with AWS Greengrass on Raspberry Pi 3

Accessing AWS Lambda from IoT devices

Building IoT projects with AWS Lambda and AWS Greengrass

Accessing local resources

Developing local AWS Lambda 

Configuring AWS Greengrass Core

Testing the demo

Interacting with things within a group

Summary

Expanding IoT Capabilities with AWS IoT Button

Introducing AWS IoT Button

Reviewing a project scenario for AWS IoT Button

Setting up AWS IoT Button

Registering AWS IoT Button to AWS IoT

Connecting AWS IoT Button to a network

Testing

Interaction between AWS IoT Button and IoT devices

Building your IoT project with AWS IoT Button

Configuring AWS DynamoDB

Building Lambda and its rule

Building a Lambda program

Testing using IoT Button

Summary

Visualizing AWS IoT Data

Introducing IoT massive data

Introducing brief data visualization

Data visualization in the web

Data-Driven Documents (D3)

Chart.js

Flot

Consuming real-time sensor data in a web application

Visualizing data from AWS IoT

Configuring AWS IoT

Configuring AWS Cognito

Configuring AWS IAM

Developing a sensor publisher

Developing data visualization from AWS IoT

Running the project

Introducing Amazon QuickSight

Consuming sensor data from Amazon QuickSight

Building data visualization for your IoT projects

Summary

Building Predictive Analytics for AWS IoT

Introducing AWS Machine Learning services

Making your sensor speak

Introducing Amazon Polly

Developing a program for Amazon Polly

Integrating Amazon Echo into your IoT projects

Preparing the project

Adding user role

Configuring AWS IoT

Creating AWS Lambda

Building Amazon Alexa skills

Testing the project

Making image and video analysis

Introducing Amazon Rekognition

Working with Pi Camera on Raspberry Pi

Uploading images to Amazon S3

Performing image analysis

Make predictive analytics for IoT data

Build a simple predictive analytics for your IoT project

Defining a machine learning model

Preparing data

Building a machine learning model

Evaluating and testing the model

Summary

Securing AWS IoT

Introducing IoT security

Understanding IoT risks

Introducing AWS IoT identity and security

Securing communication between AWS IoT and IoT devices

Authentication and authorization

Managing AWS IAM

Building a secure AWS IoT for your IoT project

Designing and implementing

Performing regular security testing

Working with security best practices

Summary

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Preface

The Internet of Things (IoT) market has increased a lot in the past few years, and the adoption and development of IoT have an upward trend. Analysis and predictions say that enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and its versatile management console.This book initially introduces you to the IoT platforms and how they make our IoT development easy. It then covers the complete AWS IoT suite and how it can be used to develop secure communication between internet-connected things, such as sensors, actuators, embedded devices, and smart applications. The book also covers the various modules of AWS—AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases.Toward the end, the book supplies security-related best practices in order to make bidirectional communication more secure. When you've finished this book, you'll be up and running with the AWS IoT suite and building IoT projects.

Who this book is for

This book is for anyone who wants to get started with the AWS IoT suite and implement it with practical use cases. This book acts as an extensive guide, on completion of which you will be in a position to start building IoT projects using the AWS IoT platform and start using cloud services for your projects.

What this book covers

Chapter 1, Getting Started with AWS IoT, introduces the book and presents the platforms, hardware, and tools that will be used, getting started to use AWS IoT.

Chapter 2, Connecting IoT Devices to AWS IoT Platform, will show you how to build an IoT application that involves the AWS IoT platform.

Chapter 3, Optimizing IoT Computing Using AWS Greengrass, walks through how to deploy AWS Greengrass on local IoT devices to enable customers to build IoT devices that can execute local applications.

Chapter 4, Building Local AWS Lambda with AWS Greengrass, will teach the reader how to deploy local AWS Lambda with AWS Greengrass to enable IoT devices use a local AWS server.

Chapter 5, Expanding IoT Capabilities with AWS IoT Button, will show how to work with AWS IoT button and integrate it with their IoT projects.

Chapter 6, Visualizing AWS IoT Data, will build IoT data visualizations that are obtained from IoT devices.

Chapter 7, Building Predictive Analytics for AWS IoT, will explain how to manage AWS IoT data and make predictive analytics to get insight from data.

Chapter 8, Securing AWS IoT, will show how to secure AWS IoT between AWS IoT servers and IoT devices.

To get the most out of this book

As the practical examples involve the use of AWS, an AWS account is required. The hardware requirements for this book include the following:

Raspberry Pi 3

Arduino Yún

AWS IoT Button

SimpleLink™ Wi-Fi® CC3220SF Wireless LaunchPad

DHT22 Sensor

LEDs

Breadboard

Jumper cables

The software requirements are as follows:

AWS License

Arduino Software

Python and its libraries

Node.js

Download the example code files

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

Log in or register at

www.packtpub.com

.

Select the

SUPPORT

tab.

Click on

Code Downloads & Errata

.

Enter the name of the book in the

Search

box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

WinRAR/7-Zip for Windows

Zipeg/iZip/UnRarX for Mac 

7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Learning-AWS-IoT. We also have other code bundles from our rich catalog of books and videos available athttps://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it from https://www.packtpub.com/sites/default/files/downloads/LearningAWSIoT_ColorImages.pdf.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "To install the AWS IoT SDK for JavaScript, you can do so through the npm package."

A block of code is set as follows:

device .on('connect', function() { console.log('connected'); device.subscribe('topic_1'); device.publish('topic_1', JSON.stringify({ test_data: 1})); });

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

device .on('message', function(topic, payload) { console.log('recv:', topic, payload.toString());});

console.log('Sensor subscriber started.');

Any command-line input or output is written as follows:

$ npm install aws-iot-device-sdk

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "You can click on the Get started button in the Configuring a device section".

Warnings or important notes appear like this.

Tips and tricks appear like this.

Get in touch

Feedback from our readers is always welcome.

General feedback: Email [email protected] and mention the book title in the subject of your message. If you have questions about any aspect of this book, please email us at [email protected].

Errata: Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you have found a mistake in this book, we would be grateful if you would report this to us. Please visit www.packtpub.com/submit-errata, selecting your book, clicking on the Errata Submission Form link, and entering the details.

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Getting Started with AWS IoT

Deploying multiple Internet of things (IoT) devices on some locations and serving all requests from IoT devices needs more attention in order to obtain high availability and good performance. One of the approaches is to deploy a cloud server with high availability and advanced features. In this chapter, we will get started working with Amazon Web Services (AWS) IoT.

By the end of this chapter, you will know how to:

Introduce AWS IoT

Introduce IoT devices and platform for AWS IoT

Use AWS IoT Management Console

Use AWS IoT device SDK

Set up AWS IoT for your IoT project

Build a program to access AWS IoT

So, let's get started!

Introducing AWS IoT

In recent years, there have been a lot of IoT boards built by either manufacturers or indie makers. Each IoT offers unique features to build IoT applications to address users problems. Sensor and actuator devices are attached to these IoT boards to generate data. There is a lot of sensor data from IoT devices that we can analyze.

Suppose we have various IoT boards that are deployed on some locations. Since these IoT devices generate sensor data, we need a backend server with high availability to serve incoming data. In particular cases, we also need to analyze the data to obtain insights. To perform this scenario, we need more computing engines, such as storage and machine learning engines.

The general design of AWS IoT architecture is illustrated in the following figure. There are several components inside AWS IoT, including its endpoints. IoT devices can access AWS IoT through the AWS message broker with their own SDK. AWS IoT also provides SDK for various IoT device platforms. Using AWS IoT SDK, IoT devices can access AWS IoT directly. We will review some AWS IoT SDK, including its protocol and API, throughout this book. The AWS IoT components are shown in the following image:

From the preceding figure, we can see the following AWS IoT components:

Message broker

: This is basically an AWS IoT endpoint where IoT devices can access the AWS server through the 

Message Queuing Telemetry Transport

(

MQTT

) protocol. Message broker also supports primitive protocols, such as the HTTP protocol. Your IoT device can send data with AWS IoT through HTTP REST.

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