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.

Developers like to code. They declare variables, write methods and integrate classes together. What developers aren't big on is configuration. It's a hassle to configure an application so that it can ...

There are very good reasons for Java’s long-lived popularity as a server-side platform. It combines unbeatable maturity and breadth with a long and ongoing history of innovation. Using Spring adds a ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Eclipse based STS IDE isn’t a requirement for Spring Boot development, but it is highly ...

Spring Modulith supports the development of functionally modularized Spring Boot applications. With Spring Modulith, it is possible to divide Spring Boot applications into functional modules with ...

Microsoft's Java on Azure team announced the integration of New Relic One performance monitoring in Azure Spring Cloud, used to deploy Spring Boot–based microservice applications to Azure. The ...