Book Image

Enterprise Internet of Things Handbook

By : Arvind Ravulavaru
Book Image

Enterprise Internet of Things Handbook

By: Arvind Ravulavaru

Overview of this book

There is a lot of work that is being done in the IoT domain and according to Forbes the global IoT market will grow from $157B in 2016 to $457B by 2020. This is an amazing market both in terms technology advancement as well as money. In this book, we will be covering five popular IoT platforms, namely, AWS IoT, Microsoft Azure IoT, Google IoT Core, IBM Watson IoT, and Kaa IoT middleware. You are going to build solutions that will use a Raspberry Pi 3, a DHT11 Temperature and humidity sensor, and a dashboard to visualize the sensor data in real-time. Furthermore, you will also explore various components of each of the platforms that are needed to achieve the desired solution. Besides building solutions, you will look at how Machine Learning and IoT go hand in hand and later design a simple predictive web service based on this concept. By the end of this book, you will be in a position to implement an IoT strategy best-fit for your organization
Table of Contents (12 chapters)


In this chapter, we have gone through the AWS IoT platform at a basic level. We have understood the basic components of this platform and then defined a use case that we wanted to implement with this platform.

Once we defined the use case, we went through the architecture and solution. Then, we set up our Thing, added the code needed in Raspberry Pi 3, and then subscribed to the data of the shadow topic to get data updates in real time.

Next, we set up an AWS IoT Rule that sent the incoming data to the Elasticsearch service and visualized it through Kibana. We finally set up the required infrastructure and configured our dashboard.

In the next chapter, we are going to build the same use case using the Microsoft Azure IoT platform.