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Home > Computing and Information Technology > Computer programming / software engineering > Web programming > Industrial Internet Application Development: Simplify IIoT development using public cloud and native cloud services
Industrial Internet Application Development: Simplify IIoT development using public cloud and native cloud services

Industrial Internet Application Development: Simplify IIoT development using public cloud and native cloud services


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About the Book

Your practical 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 using Spark and TensorFlow for IIoT development Understand Predix services to accelerate your IIoT application development Book DescriptionThe 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.What you will learn Connect prototype devices to CloudStore data in IIoT applications Explore data management techniques and their implementation Deploy analytics and visualize the outcomes as alerts Implement continuous deployment using Docker and Cloud Foundry Make your applications fault-tolerant and monitor them with the New Relic tool Learn to build an interface with SalesForce Who this book is forThis book is for software developers, architects, product managers, and executives who are looking to gain insights into Industrial Internet application development. Basic knowledge of any popular programming language such as Python will be helpful.

Table of Contents:
Table of Contents

  1. IoT Fundamentals and Components
  2. IoT Application Design
  3. IIoT Edge Development
  4. Data for IIoT
  5. Analytics for IIoT
  6. Developing your first application for IIOT
  7. Deployment, Scale and Security Considerations
  8. Reliability, Fault Tolerance and Monitoring your IIoT Application
  9. Implementing an industrial strength IIoT Application with Predix
  10. Best Practices of IIoT applications
  11. Future Direction of IoT


About the Author :
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. 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. https://www.linkedin.com/mynetwork/invite-connect/connections/ In discussion for Cloud agritech 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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Product Details
  • ISBN-13: 9781788298599
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Height: 235 mm
  • No of Pages: 412
  • Returnable: N
  • Returnable: N
  • Width: 191 mm
  • ISBN-10: 1788298594
  • Publisher Date: 29 Sep 2018
  • Binding: Paperback
  • Language: English
  • No of Pages: 412
  • Returnable: N
  • Sub Title: Simplify IIoT development using public cloud and native cloud services


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