Do you need to perform some CPU heavy tasks? Or some work that requires a lot of I/O? Or do you just need to run or schedule some background jobs without blocking the rest of your system? I often see teams building a scheduling solution themselves, severely underestimating the complexity of running jobs asynchronously. A costly endeavour, especially with a simple, free and open-source solution readily available.

During this humoristic session, I will introduce you to JobRunr: the ultimate library for background processing in Java. By transforming Java 8 lambdas into distributed background tasks, JobRunr allows you to run any job at anytime and on any JVM. We’ll go over the different functionalities like job persistence, automatic retries, scaling up (hello k8s) and the embedded dashboard to give you a good grasp of the possibilities. Oh, and did you know it also works on GraalVM?

After this session, you’ll have a good idea of what JobRunr is, how it does it's magic and how it will allow you to focus on delivering value to your end users instead of implementing scheduling over and over again.