Preface

The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. Growth in the number of sensors deployed in heavy machinery and industrial equipment over the next five years is going to lead to an exponential increase in data being captured, which needs to be analyzed and leveraged for predictive analytics. This opens up a new avenue for developers who would like to build exciting industrial applications.

This book will serve as a one-stop guide for software professionals to design, build, manage, and operate IIoT applications.

The book begins by providing the business context to ensure that you are aware of the actual use cases that are being enabled by these IIoT applications and that you understand its fundamental concepts. Once the business objectives are outlined, it will familiarize you with the different layers of the IIoT platform and their key components. You will learn about Edge Development, along with the analytics portions of the IIoT stack. After this, the key elements of the development framework will be identified and the importance of these elements will be highlighted in light of the overall architecture and design considerations for IIoT applications. You will develop your first application for IIoT and learn about its deployment and security considerations. Finally, the software development details for the implementation of these applications will be outlined and the use of platforms such as GE Predix will be highlighted, along with the best practices for development.

Who this book is for

This book is intended for software developers, architects, product managers, and executives who would like to gain deeper insights into the development of IIoT.

What this book covers

Chapter 1, IIoT Fundamentals and Components, will explain different use cases in industrial verticals such as aviation, healthcare, transportation and power. The three layers of the IoT platform will be outlined and described, namely: edge, connectivity, and the cloud

Chapter 2, IIoT Application Architecture and Design, will cover IIoT application architecture, go in depth into the various tiers of IIoT applications, as well as providing a simple implementation of an end-to-end IIoT application.

Chapter 3, IIoT Edge Development, will help you with the most common tasks in the development of IIoT applications: communication, storing data, and prototyping the devices themselves.

Chapter 4, Data for IIoT, will make you aware of all the different tools, technologies, and methodologies of handling data in IIoT applications. This will cover data ingestion, storage, search, security, and governance for both batch and streaming data.

Chapter 5, Advanced Analytics for IIoT, will cover all the different tools, technologies, and methodologies you need to do analytics in IIoT applications.

Chapter 6, Developing Your First Application for IIOT, will help you develop a simple monitoring and diagnosis application that brings together your assets and time series sensor data. You will develop your first analytics and visualize the outcome.

Chapter 7, Deployment, Scale, and Security Considerations, will address the most common tasks in the security, deployment, and scalability of IoT cloud applications: scaling your microservices, CI/CD, security considerations while interfacing with devices, and securing your cloud applications using UAA/Oauth.

Chapter 8, Reliability, Fault Tolerance, and Monitoring Your IIoT Application, will address concerns such as building reliability, fault tolerance, and monitoring your IoT.

Chapter 9, Implementing IIoT Applications with Predix, will cover modeling your asset and explains how it will help normalize the assets for analytics, along with storing time series sensor data for assets and developing your first analytics in GE's Predix.

Chapter 10, Best Practices of IIoT Applications, will cover the things you need to consider when choosing the language to build your microservices. Discovery of your microservices using Hystrix, Zookeeper, and so on as well as integration with enterprise systems and other cloud providers.

Chapter 11, Future Direction of IIoT, will explain the competitive landscape, emerging use cases and technology, and research.

To get the most out of this book

The book assumes familiarity with programming languages such as Java, JavaScript, Node.js, Go, or Python. It also assumes familiarity with data and analytics technologies.

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