AI and Microservices

AI and Microservices for modern distributed systems

AI and Microservices: Integrating AI into API Design and Distributed Microservice Architecture is a focused technical title for readers who want to understand where artificial intelligence fits inside service-based software. Rather than treating AI as a separate specialty, the book places it alongside microservices, APIs, testing, security, monitoring, and integration — the practical layers that shape real production systems.

The chapters move from foundational ideas to implementation concerns, so the reading experience feels structured and cumulative. Early material introduces AI in software architecture and the core ideas behind microservices and API design. Later sections examine how AI can support development and deployment workflows, testing strategies, performance optimization, secure system design, and integration with cloud, legacy, edge, and IoT environments.

What the book covers

• AI concepts in software architecture and development
• Microservices fundamentals and API design principles
• AI-assisted development, orchestration, and deployment
• Testing strategies for distributed systems
• Security, monitoring, and performance optimization
• Integration patterns across modern and legacy environments
• Case studies and forward-looking discussion

Why it stands out

This is a practical architecture book rather than a high-level AI overview. Its value lies in showing how AI can be applied across the lifecycle of microservices and APIs — from design decisions to testing and operational tuning. That makes it especially useful for developers, software architects, and technical teams evaluating how to make distributed systems smarter, more scalable, and easier to manage.

If your work touches APIs, service decomposition, distributed design, or AI-enabled tooling, this title offers a clear roadmap through the subject without drifting away from the engineering realities.