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)

Building a sample application

We will start off by implementing an end-to-end solution, where we take the data from the DHT11 sensor and post it to the Kaa IoT.

Downloading Kaa

The first step we are going to do is set up Kaa. There are two approaches that we can follow:

  • Local Sandbox running on VirtualBox
  • Deployment to the AWS platform

In this chapter, we are going to follow the first option: setting up VirtualBox and then running a Kaa Sandbox image in it. If you do not have VirtualBox already installed, you can download it from here: https://www.virtualbox.org/wiki/Downloads.

Once you have downloaded and installed VirtualBox, we need to download a Kaa Sandbox image. We are going to use Kaa version 0.10.0 in this chapter...