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 applications at scale

Understanding how to scale IIoT applications is very important. The system should be able to effortlessly process growing workloads, as measured by transaction per second (TPS), amount of data stored, or number of concurrent users/requests. The IIoT architecture and design guidelines we have discussed, about using microservices and gateways are inherently built to scale.

Let's look at a typical process for scaling IIoT applications:

  1. Capacity planning
  2. Test for load/performance
  3. Measure and identify bottlenecks
  4. Scale individual components

The basic idea is to do proper capacity planning as a first step, considering the business needs (for example, quality of service) and data growth for each of the components. These components can include various services, data stores, and so on. Once we come to planning the general capacity for production, it is...