Industrial Internet Application Development


Industrial Internet Application Development: Simplify IIoT development using the elasticity of Public Cloud and Native Cloud Services
Authors: Alena Traukina - Jayant Thomas - Prashant Tyagi - Kishore Reddipalli
ISBN-10 书号: 1788298594
ISBN-13 书号: 9781788298599
Publisher Finelybook 出版日期: 2018-12-11
pages 页数: 412 pages
Publisher Finelybook 出版社: Packt


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.
Contents
1: IIOT FUNDAMENTALS AND COMPONENTS
2: IIOT APPLICATION ARCHITECTURE AND DESIGN
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

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
Authors
Alena 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 Altoros’s Ruby Department. She is also one of the first GE's Predix Influencers.
Jayant 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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