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Guide to designing and developing cloud native applications in Azure Key Features Basics of Cloud Native Applications Designing Microservices Different cloud native options for developing Cloud Native Applications in Azure BOTs, Web Apps, Mobile Apps, Logic Apps, Service Bus, Azure Functions Azure IOT Applications Azure Machine Learning Basics Enterprise Digital Journeys Description The mainstreaming of the cloud-native architecture as an enterprise discipline is well underway. According to the Forbes report, in January 2018, 83% of enterprise workloads will be in the cloud by 2020, 41% of enterprise workloads will run on public cloud platforms while another 22% will be running on hybrid cloud platforms. Customers are embarking on enterprise digital transformation journeys. Adopting cloud, cloud-native architectures, and microservices is an important aspect of the journey. This book starts with a brief introduction to the basics of cloud-native applications and cloud-native application patterns. It covers cloud-native options available in Azure. The objective of the book is to provide practical guidelines to an architect/designer/consultant/developer who is part of the Cloud application definition team. The book articulates a methodology that the implementation team needs to follow in a systematic manner and adapt them to fulfill the requirements for enabling the cloud-native application. It emphasizes on the interpersonal skills and techniques for organizing and directing the cloud-native definition, leadership buy-in, and leading the transition from planning to implementation. It also highlights steps to be followed and the patterns for developing cloud-native applications, cloud-native options available in Azure, developing BOT, and microservices based on Azure. It also covers how to develop simple IoT applications, Machine learning-based applications, and the serverless architecture using Azure with a practical and pragmatic approach. This book embraces a structured approach around the following key themes that represent the typical phases an enterprise traverses during its cloud-native application journey. What You Will Learn This book aims to: Demonstrate the importance of cloud-native applications in elevating the effectiveness of organizational transformation programs and digital enterprise journeys using MS Azure. Disseminate current advancements and thought leadership in the area of cloud-native architecture in the context of digital enterprises. Provide initiatives with evidence-based, credible, field-tested and practical guidance in designing their respective architectures. Who this book is for The book is intended for anyone looking for a career in Cloud technology, especially all aspiring Cloud Architects who want to learn cloud-native architectures, Microservices, IoT, BOT and Microsoft Azure platform. Table of Contents 1. Basics of Cloud Native Applications 2. Cloud Native Application Patterns 3. Cloud Native Options available in Azure – BOTs, Logic Apps, Service Bus, Azure Microservices, ML services 4. Developing a Simple BOT using .NET Core 5. Developing Cloud Native applications leveraging Microservices and Azure API Gateway 6. Developing Integration capabilities using serverless architecture 7. Developing a simple IoT application 8. Developing a simple ML based application 9. Different enterprise use cases which enable digital transformation using Cloud Native Applications
A Systematic Approach to Learn the Principles, Paradigms and Applications of Internet of Things Key Features IoT applications in various sectors like Education, Smart City, Politics, Healthcare, Agriculture, etc. Adoption of the IoT technology and strategies for various sectors To present case studies and innovative applications of the IoT To analyze and present the state of the art of the IoT and related technologies and methodologies To propose new models, practical solutions and technological advances of the IoT Description In this book, Principles, Paradigm frameworks, and Applications of IoT (Internet of Things) in the modern era are presented. It also provides a sound understanding of the IoT concepts, architecture, and applications, and improves the awareness of readers about IoT technologies and application areas. A key objective of this book is to provide a systematic source of reference for all aspects of IoT. This book comprises nine chapters with close co-operation and contributions from four different authors, spanning across four countries and providing a global, broad perspective on major topics on the Internet of Things. What You Will Learn Become aware of the IoT components, their connectivity to form the IoT altogether, and future possibilities with IoT. Understand how the various components of cloud computing work together to form the basic architecture of cloud computing. Examine the relationship between the various layers in the IoT architecture. Understand the programming framework for the Internet of Things (IoT) and various programming paradigms. Who this book is for This book is intended for professionals, researchers, instructors, and designers of a smart system, who will benefit from reading this book. Table of Contents 1. IoT Introduction 2. IoT Architectures and Protocols 3. Programming Framework for IoT 4. Virtualization and IoT 5. Security, Privacy and Challenges in IoT 6. IoT Applications Areas 7. IoT and Cloud 8. Smart City Using IoT integration 9. Case Studies 10. Important Key Terms 11. References About the Author Dr Kamlesh Lakhwani works as an Associate Professor in the Department of Computer Science and Engineering at Lovely Professional University, Punjab, India. He has an excellent academic background and a rich experience of 13+ years as an academician and researcher in Asia. LinkedIn Profile: https://www.linkedin.com/in/dr-kamlesh-lakhwani-7119944b/ Dr Hemant Kumar Gianey obtained his PhD from Rajasthan, M.Tech (CSE) from the Rajasthan Technical University, Kota, Rajasthan, and B.E. from the Rajasthan University, Jaipur, Rajasthan, India. Presently, he is working as a Post-Doctoral Researcher in the National Chen Kung University of Taiwan, and as a lecturer at Thapar Institute of Engineering and Technology, Patiala, Punjab, India. LinkedIn Profile: https://www.linkedin.com/in/dr-hemant-kumar-gianey-05174186/ Joseph Kofi Wireko is a full-time faculty member at the Faculty of IT-Business of the Ghana Technology University College (GTUC) in Accra, and Research Fellow in the Aalborg University, Denmark. LinkedIn Profile: https://www.linkedin.com/in/joseph-wireko-19048a14/ Kamal Kant Hiran works as an Assistant Professor in the School of Engineering at the Sir Padampat Singhania University (SPSU), Udaipur, Rajasthan, India, and also as a Research Fellow at the Aalborg University, Copenhagen, Denmark. LinkedIn Profile: https://www.linkedin.com/in/kamal-kant-hiran-4553b643/
Program edge devices by learning low-code programming and essentials of IoT systems. Key Features -In-depth practical demonstration of the IoT architecture with numerous examples. -Includes graphical illustrations and uses of popular full-stack tools. -Access to hardware components and software packages to build powerful IoT systems. Description Learn IoT Programming with Node-RED is an excellent source of practical knowledge for developing a successful Internet of Things system, starting with the very first step of programming a Raspberry Pi, and using numerous open-source software development tools. To begin, the book will provide you with a practical experience of visual programming, fundamentals of Node-RED, and the architecture of an Internet of Things system. The book covers data collecting capabilities and the development of real-time streaming functionalities. The book describes how to set up an Internet of Things infrastructure, manage software development, and integrate physical devices. The book provides IoT projects based on temperature and humidity data recorded as time series. It teaches you how to design the software using a simulated model of the hardware and use the same code to execute it in the actual hardware. Node-RED, Pusher, InfluxDB, and Grafana are some of the professional tools you will learn in this book. After reading the book, you will gain the knowledge to create your own applications that will be connected to the physical environment by means of a range of sensors. What you will learn -Create IoT systems with NodeRED visual programming. -Learn to transfer data from IoT devices to machines for analysis using Pusher, a free platform. -Store time-series data streams to InfluxDB. -Use NodeRED to process data and execute statistical calculations on the remote machine. -Create user-friendly Grafana dashboards for environmental monitoring. Who this book is for IoT engineers, roboticists, and embedded system programmers who are interested in learning low-code development and programming hardware devices may benefit from this book. Prior knowledge of Linux and Raspberry Pi may be helpful. Table of Contents 1. Introduction to IoT Applications and Their Software Architecture 2. Getting Started with NodeRED 3. Data Acquisition and Real-time Streaming 4. Real-time Data Processing with NodeRED 5. Storing and Graphing Data Streams with InfluxDB and Grafana 6. The IoT Hardware Package 7. The IoT Software Package
Doors are never locked for smart software and smart devices that are trained by smart people Key Features A book for everyone interested to know more about WSN, AI, and IoT Discover various Open source tools & techniques for research and development in these felids An easy-to-understand guide that will help you get familiar with the upcoming developments in WSN, AI, and IoT Description Almost every industry is looking for solutions for the best performance in the work that they produce. Researchers and developers are developing promising solutions that address the industrial problems to increase the effectiveness and efficiency of either the product or the service. This paradigm has changed the way many solutions and services are designed. Wireless Sensor Networks (WSN) are the backbone implementation for the Internet of Things (IoT) to be realized. For the IoT to produce efficient results, Artificial Intelligence (AI) becomes the key assistance, however, it needs careful modeling. The content for the book is planned and prepared in such a way that you will be able to understand the concept and can interpret it for their use. The concepts, technologies, processes that are discussed in the book are contemporary and futuristic. Every chapter is well planned to be a subsequent chapter for the previous. In the Summary section of each chapter, there are a few review questions and a case for research. What will you learn Learn about the most popular AI & IoT research topics Discover a few WSN, IoT and AI Simulators Get to know more about the fusion of Blockchain and IoT technologies Know more about the AI and IoT predictions in the global scenario