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OpenShift DIY cartridge is a great way to test unsupported languages on OpenShift. But it is not scalable (you can vote for Scalable DIY cartridge here ) which makes it hard to use with production grade Spring Boot applications. But what if we deployed Spring Boot application to WildFly Application Server? Spring Boot can run with embedded servlet container like Tomcat or much faster Undertow, but it also can be deployed to a standalone application server. This would mean that it can be also deployed to WildFly application server that is supported by OpenShift. Let’s see how easy is to get started with creating a Spring Boot application from scratch and deploy it to WildFly 8.2 on OpenShift.

Gradle 1.6 was the last supported Gradle version to run on OpenShift due to this bug . But as of Gradle 2.2 this is no more an issue, so running newest Gradle on OpenShift should not be a problem anymore with Do It Yourself cartridge. DIY cartridge is an experimental cartridge that provides a way to test unsupported languages on OpenShift. It provides a minimal, free-form scaffolding which leaves all details of the cartridge to the application developer. This blog post illustrates the use of Spring Boot 1.2 and Java 8 running on Undertow, that is supported as a lightweight alternative to Tomcat. It should not take more than 10 minutes to get up and running.

Testing with Files and directories in JUnit is easy thanks to TemporaryFolder @Rule . In JUnit rules ( @Rule ) can be used as an alternative or an addition to fixture setup and cleanup methods ( org.junit.Before , org.junit.After , org.junit.BeforeClass , and org.junit.AfterClass ), but they are more powerful, and can be more easily shared between projects and classes.

In my previous blog post I showed how easy Jersey can be configured with Spring Boot. My exploration on Spring Boot and Jersey did not end and I investigated the possibility of using Spring HATEOAS along with Jersey in Spring Boot application. Spring HATEOS allows creating REST representations that follow the HATEOAS principle and (as of writing this article) has basic JAX-RS support for working with links. In this blog post I will share some examples of how I integrated Spring HATEOAS with Jersey in a Spring Boot application.

Along many new features, Spring Boot 1.2 brings Jersey support. This is great step to attract those developers who like the standard approach as they can now build RESTful APIs using JAX-RS specification and easily deploy it to Tomcat or any other Spring’s Boot supported container. Jersey with Spring platform can play an important role in the development of mico services. In this article I will demonstrate how one can quickly build an application using Spring Boot (including: Spring Data, Spring Test, Spring Security) and Jersey.