Serverside applications are more and more likely to need to run indynamic cloud environments where they can automatically scale asrequired. One rightfully popular approach is to run the applicationas a Docker container inside a Kubernetes cluster, giving you a lot ofoperational benefits thanks to the Kubernetes folks.For the most part it is rather easy to make your Python applicationwork inside a Docker container. But there are a number of commonpatterns one can follow to save time by delegating more things to theruntime environment. Furthermore you can start adding a few simplenon-intrusive features to your application which will help improve theapplication live-cycle in the cluster, ensuring smooth hand-over whenmigrating the container to different nodes or scaling it up or down.This talk will discuss how to write a Python application which willbehave well in this environment, starting with the basics steps youcan rely on the runtime for, covering logging and all the way tosupporting the service life-cycle, health checking and monitoring in aKubernetes environment. You will see that building a cloud-nativeapplication is not very hard and something you can graduallyintroduce.