https://github.com/confluentinc/operator-earlyaccess | Confluent Operator allows you to run Apache Kafka® on Kubernetes for simplified operations such as microservices communication, visibility and monitoring, upgrades, scaling, and cluster management built into the Kubernetes platform. Now, Confluent Operator is evolving into a Kubernetes-native, extensible approach to managing the complete cloud-native event streaming platform on Kubernetes. In this demo, Viktor Gamov (Developer Advocate, Confluent), highlights a typical Kafka on Kubernetes operations use case: fixing production issues with validation in a test environment. We'll demonstrate how the Confluent Operator's evolution empowers you to use a declarative spec to quickly deploy and manage your event streaming applications and the Confluent Platform.

Learn more: https://www.confluent.io/blog/cloud-native-kafka-kubernetes-revolutionizing-distributed-systems?utm_source=youtube&utm_medium=video&utm_campaign=ch.kubecon2020_type.community_content.operator…

When it comes to choosing a distributed streaming platform for real-time data pipelines, everyone knows the answer: Apache Kafka! And when it comes to deploying applications at scale without needing to integrate different pieces of infrastructure yourself, the answer nowadays is increasingly Kubernetes. However, with all great things, the devil is truly in the details. While Kubernetes does provide all the building blocks that are needed, a lot of thought is required to truly create an enterprise-grade Kafka platform that can be used in production. In this technical deep dive, Viktor will go through challenges and pitfalls of managing Kafka on Kubernetes as well as the goals and lessons learned from the development of the Confluent Operator for Kubernetes.