Serverside applications are more and more likely to need to run in dynamiccloud environments where they can automatically scale as required. Onerightfully popular approach is to run the application as a Docker containerinside a Kubernetes cluster, giving you a lot of operational benefits thanksto the Kubernetes folks. For the most part it is rather easy to make your Python application workinside a Docker container. But there are a number of common patterns one canfollow to save time by delegating more things to the runtime environment.Furthermore you can start adding a few simple non-intrusive features to yourapplication which will help improve the application live-cycle in the cluster,ensuring smooth hand-over when migrating the container to different nodes orscaling it up or down. This talk will discuss how to write a Python application which will behavewell in this environment, starting with the basics steps you can rely on theruntime for, covering logging and all the way to supporting the service life-cycle, health checking and monitoring in a Kubernetes environment. You willsee that building a cloud-native application is not very hard and somethingyou can gradually introduce.