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 ...

The Spring Framework is possibly the most iconic software development framework of all time. It once suffered from a reputation of bloat, but it has long since shed that perception. The heart of ...

Version 3.0.10+ adds full support for Spring Boot 4.x and Spring Security 7.x while maintaining compatibility with Spring Boot 3.x. If you're using Spring Boot 3.x and upgrading to 4.x, review the ...

package com.example.demo; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication ...

Reactive programming is a paradigm that embraces asynchronous data streams. It’s about handling data and events in a non-blocking way. This approach suits modern application requirements. With users ...

In this tutorial we will learn how to use spring webflux along with spring data r2dbc to build ,test and consume reactive microservice. In the era of microservices, building scalable and responsive ...

April 11, 2022 update – Azure Web Application Firewall (WAF) customers with Regional WAF with Azure Application Gateway now has enhanced protection for critical Spring vulnerabilities – CVE-2022-22963 ...

Since this is a major release of Spring Boot, upgrading existing applications can be a little more involved that usual. We’ve put together a dedicated migration guide to help you upgrade your existing ...

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.