Tiny Engine Web Service is a RESTful API responsible for providing data services, code generation services, and code release services to the front end. It does not directly operate on the database, ...

Building web services and documenting RESTful endpoints is no easy task, but testing RESTful APIs has always been a particularly sore point with Spring Boot and Java. Sure, you can test a GET ...

Top Spring Boot courses in 2026 help Java developers learn backend skills, microservices, cloud basics, and real project building, with simple lessons, strong concepts, and career-ready knowledge for ...

Frameworks like Spring Boot remain dominant in backend and microservices development thanks to mature ecosystems and extensive support. Cloud-native Java frameworks such as Quarkus and Micronaut focus ...

Java is one of the most mature and persistent development languages that exist. Recently it entered into a 6-month release schedule which enabled to deliver more frequent updates to the language. One ...

REpresentational State Transfer (REST) [1] is widely used to expose Application Programming Interfaces (APls) of web services and facilitates the development of loosely coupled systems. Each web ...

Abstract: The service consists of hosting an AWS-based web page application utilizing EC2 instance services. The backend development is done in Java and set up on port 3001 as proprietary REST API ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Spring Boot is Java’s premiere framework for the development of RESTful web services. Swagger is ...

Let's create a complete working example of Spring Boot microservices using Protocol Buffers (Protobuf) for communication. We'll create two microservices: AccountService and CustomerService. The ...

In this article we're going to compare some essential metrics of the web applications using two different Java stacks: Spring Boot and Eclipse Microprofile. And since there are several implementations ...

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.