Ai And Microservices
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AI and Microservices
Author: Dileep Kumar Pandiya
language: en
Publisher: Springer Nature
Release Date: 2025-07-01
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
Author: Radhakrishna Perumal
language: en
Publisher: Radhakrishnan Arikrishna Perumal
Release Date: 2024-07-12
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.
Scalable Artificial Intelligence for Healthcare
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.