Häftad, Engelska, 2018

Industrial Internet Application Development

Simplify IIoT development using public cloud and native cloud services

Av Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli

748 kr

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Beskrivning

Your practical guide to designing, building, managing, and operating Industrial Internet of Things (IIoT) applicationsKey FeaturesBuild IIoT applications and deploy them on Platform as a Service (PaaS)Learn data analytics techniques using Spark and TensorFlow for IIoT developmentUnderstand Predix services to accelerate your IIoT application developmentBook 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 learnConnect prototype devices to CloudStore data in IIoT applicationsExplore data management techniques and their implementationDeploy analytics and visualize the outcomes as alertsImplement continuous deployment using Docker and Cloud FoundryMake your applications fault-tolerant and monitor them with the New Relic toolLearn to build an interface with SalesForceWho 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.

Produktinformation

Utgivningsdatum: 2018-09-29
Mått: 191 x 235 x 27 mm
Vikt: 766 g
Format: Häftad
Språk: Engelska
Antal sidor: 412
Förlag: Packt Publishing Limited
ISBN: 9781788298599

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Mer om författaren

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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