In an ideal world, you wrote your program from the first iteration and it works. But in practice development of cloud-native Python applications has a different character. Debugging from another side is also complex. Sometimes, I spend most of the time on debugging rather than development. There are many different books and official docs, but there’s not enough information on debugging your programs efficiently, especially in cloud environments or inside Kubernetes. Luckily, we have a couple of options to consider when debugging cloud-native applications in Python. In my talk, I’ll show different techniques to debug containerized applications, including remote debugging, how to debug still, even if we’re using multi-staged docker builds, how to debug applications already deployed without any debuggers, also how to attach for running Python processes inside the container. In the end, we’ll discuss tips and tricks on troubleshooting things like permissions, networking, and other k8s failures that may affect your applications.