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Alena Traukina - Industrial Internet Application Development: Simplify IIoT development using the elasticity of Public Cloud and Native Cloud Services

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Your one-stop guide to designing, building, managing, and operating Industrial Internet of Things (IIoT) applications

Key Features
  • Build IIoT applications and deploy them on Platform as a Service (PaaS)
  • Learn data analytics techniques in IIoT using Spark and TensorFlow
  • Understand and combine Predix services to accelerate your development
  • Book Description

    The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The current growth in the number of sensors deployed in heavy machinery and industrial equipment will lead to an exponential increase in data being captured that needs to be analyzed for predictive analytics. This also opens up a new avenue for developers who want to build exciting industrial applications.

    Industrial Internet Application Development serves as a one-stop guide for software professionals wanting to design, build, manage, and operate IIoT applications. You will develop your first IIoT application and understand its deployment and security considerations, followed by running through the deployment of IIoT applications on the Predix platform. Once you have got to grips with what IIoT is, you will move on to exploring Edge Development along with the analytics portions of the IIoT stack. All this will help you identify key elements of the development framework, and understand their importance when considering the overall architecture and design considerations for IIoT applications. By the end of this book, you will have grasped how to deploy IIoT applications on the Predix platform, as well as incorporate best practices for making fault-tolerant and reliable IIoT systems.

    What you will learn
  • Connect prototype devices to CloudStore data in IIoT applications
  • Explore data management techniques and implementation
  • Study IIoT applications analytics using Spark ML and TensorFlow
  • Deploy analytics and visualize the outcomes as Alerts
  • Understand continuous deployment using Docker and Cloud Foundry
  • Make your applications fault-tolerant and monitor them with New Relic
  • Understand IIoT platform architecture and implement IIoT applications on the platform
  • Who this book is for

    This book is intended for software developers, architects, product managers, and executives keen to gain insights into Industrial Internet development. A basic knowledge of any popular programming language such as Python will be helpful.

    Alena Traukina: author's other books


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    Industrial Internet Application Development Simplify IIoT development - photo 1
    Industrial Internet Application Development
    Simplify IIoT development using the elasticity of Public Cloud and Native Cloud Services
    Alena Traukina
    Jayant Thomas
    Prashant Tyagi
    Kishore Reddipalli
    BIRMINGHAM - MUMBAI Industrial Internet Application Development Copyright - photo 2
    BIRMINGHAM - MUMBAI
    Industrial Internet Application Development

    Copyright 2018 Packt Publishing

    All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

    Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author(s), nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

    Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

    Commissioning Editor: Merint Mathew
    Acquisition Editor: Alok Dhuri
    Content Development Editor: Anugraha Arunagiri
    Technical Editor: Ruvika Rao
    Copy Editor: Safis Editing
    Project Coordinator: Ulhas Kambali
    Proofreader: Safis Editing
    Indexer: Priyanka Dhadke
    Graphics: Tom Scaria
    Production Coordinator: Aparna Bhagat

    First published: September 2018

    Production reference: 1290918

    Published by Packt Publishing Ltd.
    Livery Place
    35 Livery Street
    Birmingham
    B3 2PB, UK.

    ISBN 978-1-78829-859-9

    www.packtpub.com

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    Contributors
    About the authors

    Alena Traukina is the IoT practice lead at Altoros. She has over 12 year experience in the 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, Alena has served in different capacities, ranging from software engineer, to software engineering manager, to head of Altoros's Ruby department. She was also one of the first GE Predix Influencers.

    Jayant Thomas (JT) has a passion for IoT, machine learning, and cloud-native architectures at scale. His passion has led him to many successful adventures at Veritas, GE, Oracle, AT&T, Nuance, and other start-ups, building platforms at scale. JT is an MBA graduate from UC Davis, and has an M.Tech from NIIT, as well as more than 15 patents in IoT, NLP processing, and cloud architectures. JT is also an enthusiastic speaker/writer, and has contributed to many conferences and meetups. In addition, JT is an active fitness and health freak, dabbling in various diets and health fads.

    I would like to thank the co-authors of this book; it's been a joy working with them on it. I would also like to thank GE Digital and GE Digital Colleges for providing us with this great opportunity to learn and build IIoT platforms at scale. Finally, I would like to thank my family and friends for all their sacrifices in supporting me during the course of writing this book.

    Prashant Tyagi is responsible for enabling the big data strategy at GE Digital for IIoT, leveraging IT and operational data for predictive analytics. He works with P&L verticals to enable their IoT use cases on the data and analytics platform.

    He is on the board of ISSIP, focused on service innovation. He leads a cross-industry special interest group on IoT and analytics, and is an adviser to the open source fog computing initiative, ioFog, which is an Eclipse foundation initiative. He holds a B.Tech from IIT Delhi, an MBA from IIM Bangalore, and an MS in computer science from Clemson University. He has publications in leading journals and magazines and is a renowned public speaker and panelist, having featured at several conferences.

    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.

    I would like to thank my family, who supported me in the course of writing this book.
    About the reviewer

    Shyam Varan Nath is an industry expert in IoT and cloud computing. His professional experience has involved roles at Oracle, GE Digital, IBM, Deloitte, and Halliburton. His area of focus is IIoT and enterprise cloud architecture. He is a regular speaker at global conferences on IoT and analytics. He is the author of Architecting the Industrial Internet, published by Packt Publishing in 2017. He also wrote the chapter on IoT architecture in the Internet of Things and Data Analytics Handbook. Shyam is the founding president of the Oracle BIWA User Community, which started in 2006 as a global professional special interest group for BI, data warehousing, advanced analytics, IoT, and big data. Shyam is very active on Twitter (@ShyamVaran). He also leads two task groups under the IIC.

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