The ML micro-framework built on top of [PyTorch-Lightning](https://pytorchlightning.ai/) and [Ray Tune](https://docs.ray.io/en/master/tune/) to push the boundaries of simplicity even further.
Peter shares his Apache Ignite experience. He will show how one can minimize the number of blocks in a complex, scalable backend for an ML-based, automated issue-management system (Alliedium), as you stay within the Java ecosystem and the microservice paradigm.