Book Image

Industrial Internet Application Development

By : Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli
Book Image

Industrial Internet Application Development

By: Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli

Overview of this book

The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The growth in the number of sensors used in industrial machinery has led to an exponential increase in data being captured for predictive analytics. Industrial Internet Application Development is a practical guide for developers who want to create applications that leverage the full capabilities of IIoT. You will get started by learning how to develop your first IIoT application and understanding its deployment and security. Once you’re familiar with what IIoT is, you will move on to exploring Edge Development along with the analytics aspect of the IIoT stack. In later chapters, you’ll get to grips with the deployment of IIoT applications on the Predix platform. As you cover these concepts, you’ll be able to identify key elements of the development framework and understand their importance while considering architecture and design for IIoT applications. By the end of this book, you will have the skills you need to deploy IIoT applications on the Predix platform and incorporate best practices for developing fault-tolerant and reliable IIoT systems.
Table of Contents (13 chapters)
Free Chapter
IIoT Fundamentals and Components
Future Direction of the IIoT

IIoT application deployment

Adoption of Continuous Integration/Continuous Deployment (CI/CD) is very important for the successful deployment of an IIoT solution. Essentially, the idea is to use a Git repository to check the code regularly and implement automation for the testing unit, integration and regression tests. Deployment can also be automated using automated scripts. A sample CI/CD pipeline is shown here:

A sample of the CI/CD pipeline
  • Use Jenkins to automate the build/deploy pipeline
  • Use Git to check in code to the repository
  • Use a good unit testing framework such as JUnit to do unit testing
  • Use a good integration testing tool such as RestAsure to do API testing
  • Use Selenium to do UI simulation testing
  • Deployment scripts should be written using Terraform or Ansible