Kubernetes became the de-facto standard for running cloud-native applications. And more and more users turn to it also to run stateful applications such as Apache Kafka. While there are different tools such as Helm charts or operators which can get you quickly up and running, there is often still a long way to make sure the Kafka cluster is production-ready. This talk will take you through the main aspects you should consider for your Kafka cluster and will cover things such as resource management, storage, scheduling, rolling updates, or reliability. It will show you how to do it using the Strimzi operator, but the lessons learned will apply also to any other Kafka cluster. If you are interested in production-ready Apache Kafka on Kubernetes, this is a talk for you.