While optimistic locking handling in JPA is relatively well-known, it is usually poorly tested or not tested at all. In this blog post I will show you firstly what does optimistic locking handling mean and how you could implement it within a Spring Boot Application and JPA. After that you could see a way to write integration tests, which I hope could surprise you with their simplicity and efficiency!

Writing tests is time consuming and can contain many repetitive tasks like setting up the specific configuration and cleaning the context after the test. To best follow the DRY (Don't Repeat Yourself) principle, I started implementing JUnit4 rules. In this blog post, I will show how I migrated a JUnit4 rule to JUnit5.

Recently we faced an "interesting" problem: We received seemingly random reports for failing logins to our customer's website. Only after a lot of experimenting we could narrow the problem down to specific mobile devices. This forced us to go a level deeper and investigate the problem on the protocol level.

Almost two years have passed since I wrote my first integration test for a Kafka Spring Boot application. It took me a lot of research to write this first integration test and I eventually ended up to write a blog post on testing Kafka with Spring Boot. There was not too much information out there about writing those tests and at the end it was really simple to do it, but undocumented. I have seen a lot of feedback and interaction with my previous blog post and the GitHub Gist. Since then spring-kafka-test changed two times the usage pattern and JUnit 5 has been introduces. That means the…

ArchUnit is a great tool to enforce architectural rules for your java code base by writing simple unit tests.