Building Intelligent Cloud Applications

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Building Intelligent Cloud Applications
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Author : John Biggs
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-10
Building Intelligent Cloud Applications written by John Biggs and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.
Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application’s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You’ll learn step-by-step how to code machine learning into your projects using Python and pretrained models that include tools such as image recognition, speech recognition, and classification. You’ll also examine issues around deployment and continuous delivery, including scaling, security, and monitoring. This book is divided into three parts with application examples woven throughout: Cloud-based development: Learn the basics of serverless computing with machine learning, Functions-as-a-Service (FaaS), and the use of APIs Adding intelligence: Create serverless applications using Azure Functions; learn how to use prebuilt machine learning and deep learning models Deployment and continuous delivery: Get up to speed with Azure Kubernetes Service, Azure Security Center, and Azure Monitoring
Building Intelligent Cloud Applications
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Author : John Biggs
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-10
Building Intelligent Cloud Applications written by John Biggs and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.
Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application’s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You’ll learn step-by-step how to code machine learning into your projects using Python and pretrained models that include tools such as image recognition, speech recognition, and classification. You’ll also examine issues around deployment and continuous delivery, including scaling, security, and monitoring. This book is divided into three parts with application examples woven throughout: Cloud-based development: Learn the basics of serverless computing with machine learning, Functions-as-a-Service (FaaS), and the use of APIs Adding intelligence: Create serverless applications using Azure Functions; learn how to use prebuilt machine learning and deep learning models Deployment and continuous delivery: Get up to speed with Azure Kubernetes Service, Azure Security Center, and Azure Monitoring
Azure Openai Service For Cloud Native Applications
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Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27
Azure Openai Service For Cloud Native Applications written by Adrián González Sánchez and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-27 with Computers categories.
Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies
Building Intelligent Web Applications With Ai 2025
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Author : Venkata Vijay Krishna Paruchuru, Dr. Jagdev Singh Rana
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Building Intelligent Web Applications With Ai 2025 written by Venkata Vijay Krishna Paruchuru, Dr. Jagdev Singh Rana and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Art categories.
PREFACE The rapid evolution of artificial intelligence (AI) has paved the way for innovative, intelligent solutions across a myriad of domains, none more transformative than web development. Today, AI is not only enhancing user experiences but also reshaping how web applications are built, deployed, and interacted with. From predictive search features to personalized recommendations and natural language processing, the potential for AI to elevate web applications is vast, yet the journey of integrating AI into web development can be complex and daunting. Building Intelligent Web Applications with AI aims to demystify the process of incorporating AI into modern web development. This book is designed for developers, engineers, and aspiring creators who are eager to explore the integration of AI technologies into their web applications, but may not know where to start. Whether you’re building e-commerce platforms, social media networks, or cutting-edge web tools, the principles and practices covered here will help you infuse your applications with intelligent capabilities that adapt to user needs and deliver superior experiences. In this book, we explore practical methods for incorporating AI-driven features into web applications, emphasizing a hands-on approach to solving real-world challenges. Through practical examples, detailed tutorials, and expert insights, we cover the full range of AI technologies relevant to web development, including machine learning, natural language processing, recommendation systems, computer vision, and more. Each chapter is carefully structured to help readers gradually build their understanding of AI concepts and apply them directly to web projects. We also address the key challenges that developers face when integrating AI, from data collection and model training to dealing with bias and ensuring ethical usage. Moreover, as AI continues to evolve, we place a strong emphasis on designing flexible and scalable architectures that can accommodate future advances in AI technologies. Ultimately, this book is about empowering web developers to take full advantage of AI’s potential while maintaining a focus on usability, performance, and security. As we continue to witness the convergence of AI and web technologies, Building Intelligent Web Applications with AI provides both the foundation and inspiration to craft innovative applications that will stand at the forefront of the intelligent web revolution. Whether you’re an experienced developer or just starting out, this book will equip you with the knowledge and tools to build the next generation of intelligent web applications. Authors
Integration Of Cloud Computing With Internet Of Things
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Author : Monika Mangla
language : en
Publisher: John Wiley & Sons
Release Date : 2021-03-08
Integration Of Cloud Computing With Internet Of Things written by Monika Mangla and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-08 with Computers categories.
The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.
Java In The Cloud Build Amazing Apps With Java And Cloud Technologies
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-08
Java In The Cloud Build Amazing Apps With Java And Cloud Technologies written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Technology & Engineering categories.
Java in the Cloud: Build Amazing Apps with Java and Cloud Technologies is the definitive guide for Java developers seeking to harness the boundless potential of cloud computing. This comprehensive book empowers you with the knowledge and skills necessary to create robust, scalable, and innovative applications that leverage the transformative power of the cloud. With a focus on practical implementation and real-world scenarios, this book takes you on a journey through the intricacies of cloud architectures, cloud security, scalability, load balancing, and serverless computing. You'll master the art of building, deploying, and managing Java applications in the cloud, ensuring they are performant, resilient, and secure. Explore the seamless integration between Java and cloud AI services, and unlock the potential of AI and machine learning (ML) to transform your applications into intelligent entities. Learn how to build and deploy ML models, leverage the power of big data analytics, and uncover the secrets of natural language processing and computer vision. Java in the Cloud: Build Amazing Apps with Java and Cloud Technologies is your ultimate resource for mastering Java cloud development. Whether you're a seasoned Java developer seeking to expand your horizons or a newcomer eager to explore the possibilities of cloud computing, this book is your trusted guide to unlocking the full potential of Java and the cloud. Get ready to revolutionize your application development journey and embark on a path of innovation and excellence. Inside this comprehensive guide, you'll discover: - The fundamentals of cloud computing and its transformative impact on modern application development - In-depth exploration of Java cloud frameworks and tools, empowering you to build cloud-native applications with ease - Expert guidance on designing and implementing scalable and resilient Java applications in the cloud - Practical techniques for securing your Java applications in the cloud, ensuring data integrity and application availability - Comprehensive coverage of cloud AI and ML services, enabling you to integrate intelligent capabilities into your Java applications - Step-by-step tutorials and real-world examples to reinforce your learning and accelerate your cloud development journey With Java in the Cloud: Build Amazing Apps with Java and Cloud Technologies as your guide, you'll become a cloud-savvy Java developer, equipped to create cutting-edge applications that harness the limitless potential of the cloud. Embrace the future of application development and unlock a world of possibilities. If you like this book, write a review!
Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025
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Author : Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025 written by Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the digital age, the cloud has become the cornerstone of innovation, scalability, and operational efficiency for businesses across industries. As organizations strive to adapt to an increasingly competitive and fast-paced environment, the need to harness the power of the cloud has never been more pressing. However, migrating to the cloud, integrating cloud-based solutions, and automating processes require careful planning, expertise, and strategic decision-making. “Architecting the Intelligent Cloud: A Practitioner’s Guide to Migration, Integration, and Automation” is designed to equip IT professionals, architects, and decision-makers with the knowledge and tools needed to successfully navigate the complex cloud journey. This book provides a comprehensive, hands-on approach to building, managing, and optimizing cloud infrastructures that support intelligent, data-driven applications. The increasing adoption of cloud computing, paired with the rise of artificial intelligence (AI), machine learning (ML), and automation, has fundamentally transformed how businesses operate and interact with their customers. The intelligent cloud is more than just a space for storing data—it is a platform that drives innovation, improves business agility, and enables organizations to build smart applications that respond to real-time data and user needs. However, the path to realizing the full potential of the cloud can be daunting. There are challenges in migration, integration, and automation that organizations must overcome to build a resilient and intelligent cloud infrastructure. In this book, we explore the critical stages of cloud migration, from selecting the right cloud model to assessing legacy systems and choosing the appropriate cloud services for specific business needs. We then dive into the intricacies of cloud integration, discussing how to seamlessly integrate on-premises systems, third-party applications, and cloud-native services to create a unified, efficient environment. Finally, we explore the automation of cloud operations, a key area for reducing manual intervention, optimizing workflows, and enhancing scalability in cloud-based systems. “Architecting the Intelligent Cloud” is aimed at practitioners who want a practical, actionable guide to making intelligent decisions about cloud technologies. Whether you are an architect overseeing large-scale cloud migration or a developer tasked with implementing cloud-native applications, this book provides valuable insights, best practices, and real-world examples to ensure that cloud strategies are executed successfully. The goal is to bridge the gap between theory and practice by focusing on the tools, techniques, and frameworks that can be applied directly to your cloud projects. Each chapter delves into the challenges and opportunities associated with building cloud infrastructures, providing you with practical advice on optimizing performance, enhancing security, and ensuring that cloud systems remain flexible and adaptable as your business evolves. The intelligent cloud is about much more than just technology; it is about transforming how businesses operate, innovate, and serve their customers. Through migration, integration, and automation, organizations can unlock the true potential of the cloud, creating agile, intelligent infrastructures that drive sustainable growth. This book is for the practitioner who wants to understand the “how” and “why” of cloud architecture in the context of modern business, and who is ready to embrace the future of IT with confidence and clarity. Authors
Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future
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Author : PHANISH LAKKARASU
language : en
Publisher: Global Pen Press UK PUBLICATION
Release Date :
Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future written by PHANISH LAKKARASU and has been published by Global Pen Press UK PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Architecture categories.
Designing Distributed Systems
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Author : Brendan Burns
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-02-20
Designing Distributed Systems written by Brendan Burns and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-20 with Computers categories.
Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows
Security And Risk Analysis For Intelligent Cloud Computing
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Author : Ajay Kumar
language : en
Publisher: CRC Press
Release Date : 2023-12-19
Security And Risk Analysis For Intelligent Cloud Computing written by Ajay Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.
This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access. This book: • Covers topics such as AI, Blockchain, and ML/DL in cloud security. • Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats. • Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models. • Examines security delivered as a service—a different facet of cloud security.