Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...
. ├── online-shop-backend/ # Spring Boot 后端服务 │ ├── src/main/java/com/example/shop │ │ ├── common/ # 通用响应、订单状态 ...
This crash course on how to build a RESTful API with Spring Boot teaches everything you need to know to immediately develop enterprise-grade microservices in Java. In just 90 minutes you'll learn how ...
Bringing together Kong & Spring Boot. But wait, what is https://github.com/Kong/kong? Kong is a cloud-native, fast, scalable, and distributed Microservice Abstraction ...
Audit logging is a crucial part of enterprise applications. Whether you’re building a banking platform, an insurance portal, or an e-commerce API, you must track who did what and when. In this guide, ...
Senior Software Engineer and Technical Lead with 10+ years of professional experience This post is part of my series about backend microservice development with Java and Spring. First, a disclaimer.
Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.
The concept of observability has been around for decades, but it’s a relative newcomer to the world of IT infrastructure. So what is observability in this context? It’s the state of having all of the ...
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