Ai And Microservices
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Ai And Microservices
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Author : Dileep Kumar Pandiya
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Ai And Microservices written by Dileep Kumar Pandiya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
This book explores how artificial intelligence (AI) is transforming the design and operation of microservices and API architecture. It provides a clear and practical guide to using AI to automate tasks, enhance performance, and improve the scalability of microservice-based systems. Starting with the basics, you will learn about the core concepts of microservices and API design, gradually building an understanding of how AI can be seamlessly integrated. Through real-world examples, visual diagrams, and mock APIs, the book shows you how to bring theory into practice, making complex systems easier to manage and more efficient. You will also discover strategies for testing and scaling systems, securing APIs, and addressing ethical challenges in AI-powered environments. Case studies highlight successful implementations, offering valuable insights you can apply to your own projects. Whether you're a developer, architect, or tech enthusiast, this book gives you the tools and inspiration to build smarter, more resilient systems while staying ahead of future trends in AI and distributed computing. What You'll Learn: Understand the basics of microservices and API design and see how AI can make these systems smarter and more efficient. Discover how to use AI in microservices and APIs to automate tasks, improve performance, and boost security. Learn how to design scalable and secure systems by following best practices and innovative approaches. Get practical tips on troubleshooting and solving challenges in AI-powered microservice architectures. Who is this book for: Software architects and engineers, AI and machine learning professionals, and DevOps engineers
Future Proof Microservices Advanced Patterns And Ai Optimized Design
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Author : Radhakrishna Perumal
language : en
Publisher: Radhakrishnan Arikrishna Perumal
Release Date : 2024-07-12
Future Proof Microservices Advanced Patterns And Ai Optimized Design written by Radhakrishna Perumal and has been published by Radhakrishnan Arikrishna Perumal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Computers categories.
Future-Proof Microservices: Advanced Patterns and AI-Optimized Design 🚀 Master the Future of Microservices with AI-Powered Architecture! In today’s rapidly evolving tech landscape, microservices are no longer just a trend—they are the backbone of modern, scalable, and resilient applications. Future-Proof Microservices: Advanced Patterns and AI-Optimized Design is the definitive guide for software architects, developers, and technology leaders who want to build next-generation microservices that are intelligent, efficient, and future-ready.
Monolith To Microservices
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Author : Sam Newman
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-11-14
Monolith To Microservices written by Sam Newman 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 2019-11-14 with Computers categories.
How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture. With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You’ll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture. Ideal for organizations looking to transition to microservices, rather than rebuild Helps companies determine whether to migrate, when to migrate, and where to begin Addresses communication, integration, and the migration of legacy systems Discusses multiple migration patterns and where they apply Provides database migration examples, along with synchronization strategies Explores application decomposition, including several architectural refactoring patterns Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more
Scalable Artificial Intelligence For Healthcare
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Author : Houneida Sakly
language : en
Publisher: CRC Press
Release Date : 2025-05-06
Scalable Artificial Intelligence For Healthcare written by Houneida Sakly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care. Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and big data technologies in building scalable AI systems. Discussions cover advancements in machine learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements. This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.
Microservices For Machine Learning
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Author : Rohit Ranjan
language : en
Publisher: BPB Publications
Release Date : 2024-04-20
Microservices For Machine Learning written by Rohit Ranjan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-20 with Computers categories.
Empowering AI innovations: The fusion of microservices and ML KEY FEATURES ● Microservices and ML fundamentals, advancements, and practical applications in various industries. ● Simplify complex ML development with distributed and scalable microservices architectures. ● Discover real-world scenarios illustrating the fusion of microservices and ML, showcasing AI's impact across industries. DESCRIPTION Explore the link between microservices and ML in Microservices for Machine Learning. Through this book, you will learn to build scalable systems by understanding modular software construction principles. You will also discover ML algorithms and tools like TensorFlow and PyTorch for developing advanced models. It equips you with the technical know-how to design, implement, and manage high-performance ML applications using microservices architecture. It establishes a foundation in microservices principles and core ML concepts before diving into practical aspects. You will learn how to design ML-specific microservices, implement them using frameworks like Flask, and containerize them with Docker for scalability. Data management strategies for ML are explored, including techniques for real-time data ingestion and data versioning. This book also addresses crucial aspects of securing ML microservices and using CI/CD practices to streamline development and deployment. Finally, you will discover real-world use cases showcasing how ML microservices are revolutionizing various industries, alongside a glimpse into the exciting future trends shaping this evolving field. Additionally, you will learn how to implement ML microservices with practical examples in Java and Python. This book merges software engineering and AI, guiding readers through modern development challenges. It is a guide for innovators, boosting efficiency and leading the way to a future of impactful technology solutions. WHAT YOU WILL LEARN ● Master the principles of microservices architecture for scalable software design. ● Deploy ML microservices using cloud platforms like AWS and Azure for scalability. ● Ensure ML microservices security with best practices in data encryption and access control. ● Utilize Docker and Kubernetes for efficient microservice containerization and orchestration. ● Implement CI/CD pipelines for automated, reliable ML model deployments. WHO THIS BOOK IS FOR This book is for data scientists, ML engineers, data engineers, DevOps team, and cloud engineers who are responsible for delivering real-time, accurate, and reliable ML models into production. TABLE OF CONTENTS 1. Introducing Microservices and Machine Learning 2. Foundation of Microservices 3. Fundamentals of Machine Learning 4. Designing Microservices for Machine Learning 5. Implementing Microservices for Machine Learning 6. Data Management in Machine Learning Microservices 7. Scaling and Load Balancing Machine Learning Microservices 8. Securing Machine Learning Microservices 9. Monitoring and Logging in Machine Learning Microservices 10. Deployment for Machine Learning Microservices 11. Real World Use Cases 12. Challenges and Future Trends
Revolutionizing Finance Leveraging Artificial Intelligence Machine Learning And Big Data For Smarter Credit Risk And Fraud Protection
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Author : Harish Kumar Sriram
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-26
Revolutionizing Finance Leveraging Artificial Intelligence Machine Learning And Big Data For Smarter Credit Risk And Fraud Protection written by Harish Kumar Sriram and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Business & Economics categories.
In today’s fast-paced digital economy, financial institutions are facing increasing pressure to make smarter, faster, and more secure decisions. As global markets grow more interconnected and cyber threats more sophisticated, traditional approaches to credit risk assessment and fraud prevention are no longer sufficient. Revolutionizing Finance: Leveraging AI, ML, and Big Data for Smarter Credit Risk and Fraud Protection presents a forward-looking perspective on how intelligent technologies are transforming the foundations of financial security and trust. This book is the product of years of research, industry observation, and a deep belief that innovation is the key to sustainable financial health. Artificial intelligence (AI), machine learning (ML), and big data analytics have evolved from buzzwords into essential tools for financial resilience. They offer the ability to detect patterns, predict risk, and prevent fraud in ways that were unimaginable just a decade ago. Our goal is to demystify these technologies and demonstrate how they can be applied to create more dynamic and accurate credit models, reduce false positives in fraud detection, and increase operational efficiency. By blending theory with real-world applications, we provide readers with both the foundational knowledge and practical insights needed to embrace and implement these transformative tools. This book is designed for financial professionals, data scientists, policymakers, and anyone with a vested interest in the future of finance. We aim to empower readers with the confidence to lead change, harness data intelligently, and build systems that are not only reactive but predictive and proactive. As we stand at the intersection of finance and technology, we invite you to explore the possibilities and challenges that lie ahead. The journey to revolutionized finance starts here — and it's powered by intelligence, innovation, and data.
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.
Artificial Intelligence For Autonomous Networks
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Author : Mazin Gilbert
language : en
Publisher: CRC Press
Release Date : 2018-09-25
Artificial Intelligence For Autonomous Networks written by Mazin Gilbert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Proceedings Of The 6th China Aeronautical Science And Technology Conference
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Author : Chinese Soc. of Aeronautics&Astronautics
language : en
Publisher: Springer Nature
Release Date : 2023-12-20
Proceedings Of The 6th China Aeronautical Science And Technology Conference written by Chinese Soc. of Aeronautics&Astronautics and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-20 with Technology & Engineering categories.
This book contains the original peer-reviewed research papers presented at the 6th China Aeronautical Science and Technology Conference held in Wuzhen, Zhejiang Province, China, in September 2023. Topics covered include but are not limited to Navigation/Guidance and Control Technology, Aircraft Design and Overall Optimisation of Key Technologies, Aviation Testing Technology, Airborne Systems/Electromechanical Technology, Structural Design, Aerodynamics and Flight Mechanics, Advanced Aviation Materials and Manufacturing Technology, Advanced Aviation Propulsion Technology, and Civil Aviation Transportation. The papers presented here share the latest findings in aviation science and technology, making the book a valuable resource for researchers, engineers and students in related fields.
Microservices Patterns
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Author : Chris Richardson
language : en
Publisher: Manning Publications
Release Date : 2018-11-19
Microservices Patterns written by Chris Richardson and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Computers categories.
Summary Microservices Patterns teaches enterprise developers and architects how to build applications with the microservice architecture. Rather than simply advocating for the use the microservice architecture, this clearly-written guide takes a balanced, pragmatic approach, exploring both the benefits and drawbacks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Successfully developing microservices-based applications requires mastering a new set of architectural insights and practices. In this unique book, microservice architecture pioneer and Java Champion Chris Richardson collects, catalogues, and explains 44 patterns that solve problems such as service decomposition, transaction management, querying, and inter-service communication. About the Book Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for writing services and composing them into systems that scale and perform reliably under real-world conditions. More than just a patterns catalog, this practical guide offers experience-driven advice to help you design, implement, test, and deploy your microservices-based application. What's inside How (and why!) to use the microservice architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns including containers and serverlessices About the Reader Written for enterprise developers familiar with standard enterprise application architecture. Examples are in Java. About the Author Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning's POJOs in Action, and creator of the original CloudFoundry.com. Table of Contents Escaping monolithic hell Decomposition strategies Interprocess communication in a microservice architecture Managing transactions with sagas Designing business logic in a microservice architecture Developing business logic with event sourcing Implementing queries in a microservice architecture External API patterns Testing microservices: part 1 Testing microservices: part 2 Developing production-ready services Deploying microservices Refactoring to microservices