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.
When it comes to building microservices and applications that thrive in the cloud, developers are faced with a critical choice: which Java framework to use? Two standout options are Spring Boot vs ...
When you get ready to deploy an application into production, the usual thought is: what’s the easiest way to meet all the application requirements? In this case, we have three components that need to ...
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 ...
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 ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The first decision to kick off a greenfield Java project usually sounds breezy: "Let's start with Spring Boot, it's everywhere." A few days in, someone mutters that Quarkus boots faster and saves ...
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