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Industrial Internet Application Development

Industrial Internet Application Development

By : Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli
4.6 (5)
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Industrial Internet Application Development

Industrial Internet Application Development

4.6 (5)
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)
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1
IIoT Fundamentals and Components
11
Future Direction of the 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.

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