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

Traukina, Alena; Thomas, Jayant; Tyagi, Prashant; Reddipalli, Kishore

Softcover

ISBN 10: 1788298594 ISBN 13: 9781788298599

Publisher: Packt Publishing, 2018

Synopsis

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.

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 this title

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 Altoros’s Ruby Department. She is also one of the first GE's 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 startups in building platforms at scale . JT is a MBA from UC Davis along with M.Tech from NIIT, and has more than 15 patents in the IoT, NLP processing and Cloud architectures. JT is also a enthusiastic speaker/writer in contributing to many stimulating thoughts across many conferences and meetups. JT in addition is a active fitness and health freak dabbling in various diets and health fads .

Prashant Tyagi is responsible for enabling the big data strategy at GE Digital for the Industrial Internet that leverages IT and Operational data for predictive analytics. He works with all the P&L verticals (such as oil and gas, power generation, aviation, healthcare, and so on) to enable their IoT use cases on the data and analytics platform. Prior to GE, he was with Cisco, where he was leading the organization, focused on delivering platform solutions for Cisco’s smart services. Before Cisco he co-founded a company focused on delivering intelligent drug discovery data platforms for the biotech and pharma industries. He is on the board of ISSIP, a non-profit cross academia and industry organization, focused on service innovation. He leads a cross-industry special interest group (SIG) on IoT and analytics, and is an advisor to the open source fog computing initiative, ioFog, an Eclipse foundation initiative. Prashant holds a B.Tech from Indian Institute of Technology (IIT) Delhi, an MBA from the Indian Institute of Management (IIM), Bangalore, and an MS in Computer Science from Clemson University. He has publications in leading journals and magazines on IoT, analytics, and data strategy. Prashant is a renowned public speaker and panelist at several conferences.

Kishore Reddipalli is a software technical director and expert in building IIoT big data and cloud computing platform and products at ultra scale. He is passionate in building software for analytics and machine learning to make it simplified for authoring the algorithms from inception to production at scale. He is a speaker in large global conferences in Big data technologies. Over the years he provided leadership in various capacities ranging from Software Engineer to Director of Engineering and Architecture for development of platforms and products in multiple domains such as for clinical decision support system, electronic medical records in healthcare, Predix Platform, Predix Operations Optimization for industrial IoT, Etch Process control at nano meter level using big data & machine learning technologies in Semiconductor Industry. He holds a M.S. in Computer Science from Texas A&M University CC

Edition details

• Publisher: Packt Publishing
• Publication date: 2018
• Language: English
• ISBN 10: 1788298594
• ISBN 13: 9781788298599
• Binding: Paperback
• Number of pages: 412