Hi everyone,
Currently Flink supports the resource management system YARN and Mesos. However, they were not designed for fast moving cloud native architectures, and they could not support mixed workloads (e.g. batch, streaming, deep learning, web services, etc.) relatively well. At the same time, Kubernetes is evolving very fast to fill those gaps and become the de-facto orchestration framework. So running Flink on Kubernetes is a very basic requirement for many users. At least, we have the following advantages when natively running Flink on Kubernetes. * Flink KubernetesResourceManager will allocate TaskManager pods dynamically based on the resource requirement of the jobs. * Using Flink bundled scripts to start/stop session cluster on Kuberenetes. Do not need external tools anymore. * Compared with Yarn deployment, different Flink clusters could get better isolation by leveraging the ability of Kubernetes. Recently, i also find more and more uses are very interested in running Flink on Kubernetes natively. The community has already made some efforts[1] and will be released in 1.10. Welcome to have a taste and give us your feedback. However, it is a basic requirement and we still need many features before production. So i want to start this discussion to collect the requirements that you have came across. Feel free to share your valuable thoughts. We will try to conclude and create sub tasks in the umbrella ticket[2]. Also i will move some existing tickets there for easier tracking them. Best, Yang [1]. https://ci.apache.org/projects/flink/flink-docs-master/ops/deployment/native_kubernetes.html [2]. https://issues.apache.org/jira/browse/FLINK-14460
