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You're reading from Industrial Internet Application Development Simplify IIoT development using public cloud and native cloud services

Product type Paperback

Published in Sep 2018

Publisher Packt

ISBN-13 9781788298599

Length 412 pages

Edition 1st Edition

Languages

Java

Tools

Predix

Concepts

Application Development

Authors (4):

Traukina

Thomas

Tyagi

Reddipalli

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Table of Contents (13) Chapters

Preface

1. IIoT Fundamentals and Components

2. IIoT Application Architecture and Design FREE CHAPTER

3. IIoT Edge Development

4. Data for IIoT

5. Advanced Analytics for the IIoT

6. Developing Your First Application for IIoT

7. Deployment, Scale, and Security

8. Reliability, Fault Tolerance, and Monitoring IIoT Applications

9. Implementing IIoT Applications with Predix

10. Best Practices for IIoT Applications

11. Future Direction of the IIoT

12. Other Books You May Enjoy

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Summary

In this chapter, we went though a detailed overview of how to build reliable IIoT applications at all of the three IoT application tiers using various design patterns. In addition, we looked at how to monitor the IoT system to successfully maintain the deployed system over the years to come.

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Authors (4)

Traukina

Alena Traukina is IoT practice Lead at Altoros. She has over 12 years of experience in delivery and support of business-critical software applications, working closely with business owners and providing strategic and organizational leadership for software development. Over the years, Elena has served in different capacities, ranging from software engineer to software engineering manager and the head of Altoross Ruby Department. She is also one of the first GE's Predix Influencers.

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Thomas

Jayant Thomas (JT) is the director of software engineering for the IoT apps for GE Digital. He is responsible for building IoT SaaS applications using the Predix platform, and specializes in building microservices-based architecture, reactive, event-driven systems. JT holds a masters in technology from NIIT and MBA in technology from UC Davis, CA, and has 12 patents in the speech language processing, multimodal application, and cloud architectures. When not hacking code, JT spends time with kids and enjoys crossfit training and kickboxing.

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Tyagi

https://www.linkedin.com/mynetwork/invite-connect/connections/ In discussion for Cloud agritech

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Reddipalli

Kishore Reddipalli is a software technical director and expert in building IIoT big data and cloud computing platforms and products at ultra scale. He is passionate about building software for analytics and machine learning to make the authoring of algorithms at scale, from inception to production, a simpler process. He has been a speaker at global conferences on big data technologies. Over the years, he has provided leadership in various capacities. Throughout his career, his roles have ranged from software engineer to director of engineering and architecture for the development of platforms and products in domains such as clinical decision support systems, electronic medical records, Predix Platform, Predix Operations Optimization for IIoT, and etch-process control at nanometer level using big data and machine learning technologies in the semiconductor industry. He holds an MS in computer science from Texas A&M University Corpus Christi.

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