Learning AWS IoT:Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning
Release Finelybook 出版日期：2018-01-29
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.
1:GETTING STARTED WITH AWS IOT
2:CONNECTING IOT DEVICES TO AWS IOT PLATFORM
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
What You Will Learn
Implement AWS IoT on IoT projects
Learn the technical capabilities of AWS IoT and IoT devices
Create IoT-based AWS IoT projects
Choose IoT devices and AWS IoT platforms to use based on the kind of project you need to build
Deploy AWS Greengrass and AWS Lambda
Develop program for AWS IoT Button
Visualize IoT AWS data
Build predictive analytics using AWS IoT and AWS Machine Learning
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.