AI and Microservices Integrating AI into API Design and Distributed Microservice Architecture

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

Chapter 1 - Introduction to AI in Software Architecture.- Chapter 2 -Foundations of Microservices and APIs.- Chapter 3 - AI in Microservices Development.- Chapter 4 - Testing Strategies for Microservices and APIs.- Chapter 5 - Design Patterns and Best Practices for AI-Enhanced API and Microservices.- Chapter 6 - Security in AI-Enhanced Systems.- Chapter 7 - AI-Driven Performance Monitoring and Optimization.- Chapter 8 - Integrating with Other Technologies.- Chapter 9 - Case Studies.- Chapter 10 - Challenges and Considerations.- Chapter 11 The Future of AI-Enhanced Microservices and APIs Conclusion.- Appendix.- Glossary of Terms.

Dileep Pandiya is a globally recognized technology leader with over 18 years of experience at Fortune 500 companies, including Wayfair, Walmart, IBM, and ZoomInfo. His pioneering work in microservices architecture, artificial intelligence (AI), and API development has redefined digital transformation, driving innovation and business success across industries. Dileep’s contributions have earned him international recognition for advancing technology-driven solutions. A published author and peer reviewer for leading journals, he is also an active member of organizations such as the Harvard Business Review Advisory Council. As a mentor and speaker, Dileep is passionate about sharing knowledge and empowering the next generation of technology leaders. His dedication to excellence and impactful contributions defines his stature as a visionary in the global technology landscape.

Nilesh Charankar’s professional journey includes significant roles in different Software technologies with companies such as Bank Of America, Microsoft, GM Finantials, CapitalOne, Warner Media and Discovery collectively with more than 17 years of experience. His quest for excellence is evident in his acquisition of Professional Certifications in the software development field for different technologies, showcasing his commitment to continuous learning and professional growth.