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Spring Boot 4 AI Microservices Handbook: Build Intelligent Java Applications with Spring AI, Docker, Kubernetes, LLM Integration, and Cloud-Native Arc
Paperback
Series: Quick Start Developer, Book 5
Currently unavailable to order
Please enter your email and a message will be sent to you when this product becomes available on our website.
Publisher: Independently Published
Pages: 282
Weight: 1.45
Height: 0.59 Width: 8.50 Depth: 11.00
Language: English
Have you noticed how modern software development is changing faster than ever? One moment developers are building traditional monolithic applications, and the next they are expected to master AI-powered systems, distributed microservices, cloud-native deployment, container orchestration, and intelligent automation.
But where do you start when the technologies keep evolving?
How do you move beyond basic tutorials and actually build scalable, production-ready systems using Spring Boot 4, Spring AI, Docker, Kubernetes, and Large Language Models?
And more importantly... how do you combine all these technologies into applications that businesses truly need today?
Spring Boot 4 AI Microservices Handbook was written to answer those exact questions.
This is not another shallow introduction filled with disconnected code snippets and vague explanations. This book is a practical, modern, and deeply engaging guide designed for developers, software engineers, backend architects, DevOps professionals, and ambitious learners who want to build intelligent Java applications that are ready for the future.
Have you ever wanted to create AI-powered APIs that can integrate with modern LLMs?
Curious about how enterprise microservices communicate securely and efficiently at scale?
Trying to understand how Docker and Kubernetes fit into real-world Java development workflows?
Wondering how cloud-native architecture actually works in production environments?
This handbook walks with you through the entire journey.
Inside this book, you will explore how Spring Boot 4 transforms enterprise Java development with modern architecture patterns, reactive systems, scalable APIs, intelligent automation, and AI-enhanced microservices. You will discover how to integrate powerful AI capabilities into Java applications using Spring AI while learning how modern businesses deploy resilient systems across cloud platforms.
But this book does more than teach technology.
It explains why these tools matter.
It shows how they work together.
And it prepares you for the realities of modern software engineering.
Imagine building applications that can:
Communicate with AI models intelligently
Scale effortlessly using Kubernetes
Run efficiently inside Docker containers
Handle distributed workloads reliably
Support cloud-native deployments with confidence
Power enterprise-grade microservice ecosystems
That is exactly what this book is designed to help you achieve.
Whether you are upgrading your backend development skills, preparing for enterprise projects, transitioning into cloud-native engineering, or exploring the future of AI-integrated Java applications, this guide provides the practical knowledge and architectural understanding you need to move forward with confidence.
The technology industry is rapidly shifting toward intelligent systems, AI-driven automation, and scalable distributed architecture. Developers who understand these technologies are becoming some of the most valuable professionals in the modern software landscape.
So ask yourself:
Are you ready to stop building outdated systems?
Are you ready to master the tools powering the next generation of enterprise applications?
Are you ready to combine AI innovation with modern Java microservices development?
If the answer is yes, then this book belongs in your hands today.
Get your copy now and start building the future of intelligent cloud-native Java applications with Spring Boot 4.
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