caicancai commented on code in PR #810: URL: https://github.com/apache/flink-kubernetes-operator/pull/810#discussion_r1584443822
########## docs/content.zh/docs/concepts/overview.md: ########## @@ -24,78 +24,96 @@ specific language governing permissions and limitations under the License. --> -# Overview -Flink Kubernetes Operator acts as a control plane to manage the complete deployment lifecycle of Apache Flink applications. Although Flink’s native Kubernetes integration already allows you to directly deploy Flink applications on a running Kubernetes(k8s) cluster, [custom resources](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) and the [operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) have also become central to a Kubernetes native deployment experience. - -Flink Kubernetes Operator aims to capture the responsibilities of a human operator who is managing Flink deployments. Human operators have deep knowledge of how Flink deployments ought to behave, how to start clusters, how to deploy jobs, how to upgrade them and how to react if there are problems. The main goal of the operator is the automation of these activities, which cannot be achieved through the Flink native integration alone. - -## Features -### Core -- Fully-automated [Job Lifecycle Management]({{< ref "docs/custom-resource/job-management" >}}) - - Running, suspending and deleting applications - - Stateful and stateless application upgrades - - Triggering and managing savepoints - - Handling errors, rolling-back broken upgrades -- Multiple Flink version support: v1.15, v1.16, v1.17, v1.18 +<a name="overview"></a> + +# 概述 +Flink Kubernetes Operator 扮演控制平面的角色，用于管理 Apache Flink 应用程序的完整部署生命周期。尽管 Flink 的原生 Kubernetes 集成已经允许你直接在运行的 Kubernetes(k8s) 集群上部署 Flink 应用程序，但 [自定义资源](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) 和 [operator 模式](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) 也已成为 Kubernetes 本地部署体验的核心。 + +Flink Kubernetes Operator 旨在承担管理 Flink deployments，这是 human operator 的职责。Human Operators 对 Flink 部署应该如何运行、如何启动集群、如何部署作业、如何升级作业以及出现问题时如何反应有着深入的了解。Operator 的主要目标是使这些活动自动化，而这无法仅通过 Flink 原生集成来实现。 + + +<a name="features"></a> + +## 特征 + +<a name="core"></a> + +### 核心 +- 全自动 [Job Lifecycle Management]({{< ref "docs/custom-resource/job-management" >}}) + - 运行、暂停和删除应用程序 + - 有状态和无状态应用程序升级 + - 保存点的触发和管理 + - 处理错误，回滚失败的升级 + - 多 Flink 版本支持：v1.15, v1.16, v1.17, v1.18 - [Deployment Modes]({{< ref "docs/custom-resource/overview#application-deployments" >}}): - - Application cluster - - Session cluster - - Session job + - 应用程序集群 + - 会话集群 + - 会话作业 Review Comment: - Application 集群 - Session 集群 - Sessio job ? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
