doc: Change readme and standalone docker quick start

.asf.yaml

@@ -16,7 +16,7 @@
 #
 
 github:
-  description: Apache DolphinScheduler is the modern data workflow orchestration platform with powerful user interface, dedicated to solving complex task dependencies in the data pipeline and providing various types of jobs available `out of the box`
+  description: Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
   homepage: https://dolphinscheduler.apache.org/
   labels:
     - cloud-native

CONTRIBUTING.md

@@ -1 +1,24 @@
 Please refer to the contribution document [How to contribute](docs/docs/en/contribute/join/contribute.md)
+
+## How to Build
+
+```bash
+./mvnw clean install -Prelease
+```
+
+### Build with different Zookeeper versions
+
+The default Zookeeper Server version supported is 3.8.0.
+```bash
+# Default Zookeeper 3.8.0
+./mvnw clean install -Prelease
+# Support to Zookeeper 3.4.6+
+./mvnw clean install -Prelease -Dzk-3.4
+```
+
+Artifact:
+
+```
+dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-bin.tar.gz: Binary package of DolphinScheduler
+dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-src.tar.gz: Source code package of DolphinScheduler
+```

README.md

@@ -1,105 +1,70 @@
-Dolphin Scheduler Official Website
-[dolphinscheduler.apache.org](https://dolphinscheduler.apache.org)
-==================================================================
+# Apache Dolphinscheduler
 
 [![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
-[![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)]()
+![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)
 [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=apache-dolphinscheduler&metric=alert_status)](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler)
 [![Twitter Follow](https://img.shields.io/twitter/follow/dolphinschedule.svg?style=social&label=Follow)](https://twitter.com/dolphinschedule)
 [![Slack Status](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://s.apache.org/dolphinscheduler-slack)
+[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)
 
-## Features
+## About
 
-Apache DolphinScheduler is the modern data workflow orchestration platform with powerful user interface, dedicated to solving complex task dependencies in the data pipeline and providing various types of jobs available `out of the box`
+Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code. It is also provided powerful user interface,
+dedicated to solving complex task dependencies in the data pipeline and providing various types of jobs available **out of the box**
 
 The key features for DolphinScheduler are as follows:
 
-- Easy to deploy, we provide 4 ways to deploy, such as Standalone deployment,Cluster deployment,Docker / Kubernetes deployment and Rainbond deployment
-- Easy to use, there are four ways to create workflows:
-
-  - Visually, create tasks by dragging and dropping tasks
-  - [PyDolphinScheduler](https://dolphinscheduler.apache.org/python/main/index.html), Creating workflows via Python API, aka workflow-as-code
-  - Yaml definition, mapping yaml into workflow(have to install PyDolphinScheduler currently)
-  - Open API, Creating workflows
-
-- Highly Reliable,
-  DolphinScheduler uses a decentralized multi-master and multi-worker architecture, which naturally supports horizontal scaling and high availability
+- Easy to deploy, provide four ways to deploy which including Standalone, Cluster, Docker and Kubernetes.
+- Easy to use, workflow can be created and managed by four ways, which including Web UI, [Python SDK](https://dolphinscheduler.apache.org/python/main/index.html), Yaml file and Open API
+- Highly reliable and high availability, decentralized architecture with multi-master and multi-worker, native supports horizontal scaling.
 - High performance, its performance is N times faster than other orchestration platform and it can support tens of millions of tasks per day
-- Supports multi-tenancy
-- Supports various task types: Shell, MR, Spark, SQL (MySQL, OceanBase, PostgreSQL, Hive, Spark SQL), Python, Procedure, Sub_Workflow,
-  Http, K8s, Jupyter, MLflow, SageMaker, DVC, Pytorch, Amazon EMR, etc
-- Orchestrating workflows and dependencies, you can pause/stop/recover task any time, failed tasks can be set to automatically retry
-- Visualizing the running state of the task in real-time and seeing the task runtime log
-- What you see is what you get when you edit the task on the UI
-- Backfill can be operated on the UI directly
-- Perfect project, resource, data source-level permission control
-- Displaying workflow history in tree/Gantt chart, as well as statistical analysis on the task status & process status in each workflow
-- Supports internationalization
-- Cloud Native, DolphinScheduler supports orchestrating multi-cloud/data center workflow, and
-  supports custom task type
-- More features waiting for partners to explore
-
-## User Interface Screenshots
-
-![dag](./images/en_US/dag.png)
-<img width="1100" src="https://user-images.githubusercontent.com/15833811/197348110-1653ea32-ce07-436c-a0b8-6ac1af80aea5.png">
-![data-source](./images/en_US/data-source.png)
-![home](./images/en_US/home.png)
-![master](./images/en_US/master.png)
-![workflow-tree](./images/en_US/workflow-tree.png)
+- Cloud Native, DolphinScheduler supports orchestrating multi-cloud/data center workflow, and supports custom task type
+- Versioning both workflow and workflow instance(including tasks)
+- Various state control of workflow and task, support pause/stop/recover them in any time
+- Multi-tenancy support
+- Others like backfill support(Web UI native), permission control including project, resource and data source
 
-## QuickStart in Docker
+## QuickStart
 
-Please refer the official website document: [QuickStart in Docker](https://dolphinscheduler.apache.org/en-us/docs/3.1.2/guide/start/docker)
+- For quick experience
+  - Want to [start with standalone](https://dolphinscheduler.apache.org/en-us/docs/3.1.5/guide/installation/standalone)
+  - Want to [start with Docker](https://dolphinscheduler.apache.org/en-us/docs/3.1.5/guide/start/docker)
+- For Kubernetes
+  - [Start with Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/3.1.5/guide/installation/kubernetes)
 
-## QuickStart in Kubernetes
+## User Interface Screenshots
 
-Please refer to the official website document: [QuickStart in Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/3.1.2/guide/installation/kubernetes)
+* **Homepage:** Project and workflow overview, including the latest workflow instance and task instance status statistics.
+![home](images/home.png)
 
-## How to Build
+* **Workflow Definition:** Create and manage workflow by drag and drop, easy to build and maintain complex workflow, support [bulk of tasks](https://dolphinscheduler.apache.org/en-us/docs/3.1.5/introduction-to-functions_menu/task_menu) out of box.
+![workflow-definition](images/workflow-definition.png)
 
-```bash
-./mvnw clean install -Prelease
-```
+* **Workflow Tree View:** Abstract tree structure could clearer understanding of the relationship between tasks
+![workflow-tree](images/workflow-tree.png)
 
-### Build with different Zookeeper versions
+* **Data source:** Manage support multiple external data sources, provide unified data access capabilities for such as MySQL, PostgreSQL, Hive, Trino, etc.
+![data-source](images/data-source.png)
 
-The default Zookeeper Server version supported is 3.8.0.
-```bash
-# Default Zookeeper 3.8.0
-./mvnw clean install -Prelease
-# Support to Zookeeper 3.4.6+
-./mvnw clean install -Prelease -Dzk-3.4
-```
+* **Monitor:** View the status of the master, worker and database in real time, including server resource usage and load, do quick health check without logging in to the server.
+![monitor](images/monitor.png)
 
-Artifact:
+## Suggestions & Bug Reports
 
-```
-dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-bin.tar.gz: Binary package of DolphinScheduler
-dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-src.tar.gz: Source code package of DolphinScheduler
-```
+Follow [this guide](https://github.com/apache/dolphinscheduler/issues/new/choose) to report your suggestions or bugs.
 
-## Get Help
+## Contributing
 
-1. Submit an [issue](https://github.com/apache/dolphinscheduler/issues/new/choose)
-2. [Join our slack](https://s.apache.org/dolphinscheduler-slack) and send your question to channel `#general`
-3. Send email to [email protected] or [email protected]
+The community welcomes everyone to contribute, please refer to this page to find out more: [How to contribute](docs/docs/en/contribute/join/contribute.md),
+find the good first issue in [here](https://github.com/apache/dolphinscheduler/contribute) if you are new to DolphinScheduler.
 
 ## Community
 
-You are very welcome to communicate with the developers and users of Dolphin Scheduler. There are two ways to find them:
+Welcome to join the Apache DolphinScheduler community by:
 
-1. Join the Slack channel [Slack](https://asf-dolphinscheduler.slack.com/)
-2. Follow the [Twitter account of DolphinScheduler](https://twitter.com/dolphinschedule) and get the latest news on time
-
-## How to Contribute
-
-The community welcomes everyone to contribute, please refer to this page to find out more: [How to contribute](docs/docs/en/contribute/join/contribute.md).
-
-## Thanks
-
-DolphinScheduler is based on a lot of excellent open-source projects, such as Google guava, grpc, netty, quartz, and many open-source projects of Apache and so on.
-We would like to express our deep gratitude to all the open-source projects used in DolphinScheduler. We hope that we are not only the beneficiaries of open-source, but also give back to the community. Besides, we hope everyone who have the same enthusiasm and passion for open source could join in and contribute to the open-source community
+- Join the [DolphinScheduler Slack](https://s.apache.org/dolphinscheduler-slack) to keep in touch with the community
+- Follow the [DolphinScheduler Twitter](https://twitter.com/dolphinschedule) and get the latest news
+- Subscribe DolphinScheduler mail list, [email protected] for user and [email protected] for developer
 
 # Landscapes
 
@@ -111,6 +76,3 @@ DolphinScheduler enriches the <a href="https://landscape.cncf.io/?landscape=obse
 
 </p >
 
-## License
-
-Please refer to the [LICENSE](https://github.com/apache/dolphinscheduler/blob/dev/LICENSE) file

README_zh_CN.md

@@ -1,102 +1,76 @@
-Dolphin Scheduler Official Website
-[dolphinscheduler.apache.org](https://dolphinscheduler.apache.org)
-==================================================================
+# Apache Dolphinscheduler
 
 [![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
 [![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)]()
 [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=apache-dolphinscheduler&metric=alert_status)](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler)
 [![Twitter Follow](https://img.shields.io/twitter/follow/dolphinschedule.svg?style=social&label=Follow)](https://twitter.com/dolphinschedule)
 [![Slack Status](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://s.apache.org/dolphinscheduler-slack)
-
-[![Stargazers over time](https://starchart.cc/apache/dolphinscheduler.svg)](https://starchart.cc/apache/dolphinscheduler)
-
-[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)
 [![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md)
 
-## 设计特点
+## 关于
 
 一个分布式易扩展的可视化 DAG 工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系，使调度系统在数据处理流程中`开箱即用`。
 
-其主要目标如下：
-
-- 以 DAG 图的方式将 Task 按照任务的依赖关系关联起来，可实时可视化监控任务的运行状态
-- 支持丰富的任务类型：Shell、MR、Spark、SQL(mysql、oceanbase、postgresql、hive、sparksql)、Python、Sub_Process、Procedure 等
-- 支持工作流定时调度、依赖调度、手动调度、手动暂停/停止/恢复，同时支持失败重试/告警、从指定节点恢复失败、Kill 任务等操作
-- 支持工作流优先级、任务优先级及任务的故障转移及任务超时告警/失败
-- 支持工作流全局参数及节点自定义参数设置
-- 支持资源文件的在线上传/下载，管理等，支持在线文件创建、编辑
-- 支持任务日志在线查看及滚动、在线下载日志等
-- 实现集群 HA，通过 Zookeeper 实现 Master 集群和 Worker 集群去中心化
-- 支持对`Master/Worker` cpu load，memory，cpu 在线查看
-- 支持工作流运行历史树形/甘特图展示、支持任务状态统计、流程状态统计
-- 支持补数
-- 支持多租户
-- 支持国际化
-- 还有更多等待伙伴们探索
-
-## 系统部分截图
+DolphinScheduler 的主要特性如下：
 
-![dag](./images/zh_CN/dag.png)
-![data-source](./images/zh_CN/data-source.png)
-![home](./images/zh_CN/home.png)
-![master](./images/zh_CN/master.png)
-![workflow-tree](./images/zh_CN/workflow-tree.png)
+- 易于部署，提供四种部署方式，包括Standalone、Cluster、Docker和Kubernetes。
+- 易于使用，可以通过四种方式创建和管理工作流，包括Web UI、[Python SDK](https://dolphinscheduler.apache.org/python/main/index.html)、Yaml文件和Open API
+- 高可靠高可用，多主多从的去中心化架构，原生支持横向扩展。
+- 高性能，性能比其他编排平台快N倍，每天可支持千万级任务
+- Cloud Native，DolphinScheduler支持编排多云/数据中心工作流，支持自定义任务类型
+- 对工作流和工作流实例（包括任务）进行版本控制
+- 工作流和任务的多种状态控制，支持随时暂停/停止/恢复它们
+- 多租户支持
+- 其他如回填支持（Web UI 原生），包括项目、资源和数据源的权限控制
 
-## 近期研发计划
-
-DolphinScheduler 的工作计划：<a href="https://github.com/apache/dolphinscheduler/projects/1" target="_blank">研发计划</a> ，其中 In Develop 卡片下是正在研发的功能，TODO 卡片是待做事项(包括 feature ideas)
-
-## 参与贡献
+## 快速开始
 
-非常欢迎大家来参与贡献，贡献流程请参考：
-[[参与贡献](docs/docs/zh/contribute/join/contribute.md)]
+- 如果想要体验
+    - [standalone 启动](https://dolphinscheduler.apache.org/zh-cn/docs/3.1.5/guide/installation/standalone)
+    - [Docker 启动](https://dolphinscheduler.apache.org/zh-cn/docs/3.1.5/guide/start/docker)
+- 想 Kubernetes 部署
+    - [Kubernetes 部署](https://dolphinscheduler.apache.org/zh-cn/docs/3.1.5/guide/installation/kubernetes)
 
-## 快速试用 Docker
-
-请参考官方文档: [快速试用 Docker 部署](https://dolphinscheduler.apache.org/zh-cn/docs/3.1.2/guide/start/docker)
-
-## 快速试用 Kubernetes
+## 系统部分截图
 
-请参考官方文档: [快速试用 Kubernetes 部署](https://dolphinscheduler.apache.org/zh-cn/docs/3.1.2/guide/installation/kubernetes)
+* **主页**：项目和工作流概览，包括最新的工作流实例和任务实例状态统计。
+![home](images/home.png)
 
-## 如何构建
+* **工作流定义**： 通过拖拉拽创建和管理工作流，轻松构建和维护复杂的工作流。
+![workflow-definition](images/workflow-definition.png)
 
-```bash
-./mvnw clean install -Prelease
-```
+* **工作流树状图**： 抽象的树形结构可以更清晰的理解任务之间的关系
+![workflow-tree](images/workflow-tree.png)
 
-### 构建不同版本的 Zookeeper 依赖
+* **数据源**： 管理支持多种外部数据源，为MySQL、PostgreSQL、Hive、Trino等，并提供统一的数据访问能力。
+![data-source](images/data-source.png)
 
-默认支持 Zookeeper Server 3.8.0。
-```bash
-# 默认 Zookeeper Client 3.8.0
-./mvnw clean install -Prelease
-# 构建支持 Zookeeper 3.4.6+
-./mvnw clean install -Prelease -Dzk-3.4
-```
+* **监控**：实时查看master、worker和数据库的状态，包括服务器资源使用情况和负载情况，无需登录服务器即可快速进行健康检查。
+![monitor](images/monitor.png)
 
-制品:
+## 建议和报告 bugs
 
-```
-dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-bin.tar.gz: DolphinScheduler 二进制包
-dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-src.tar.gz: DolphinScheduler 源代码包
-```
+根据 [这个步骤](https://github.com/apache/dolphinscheduler/issues/new/choose) 来报告你的 bug 或者提交建议。
 
-## 感谢
+## 参与贡献
 
-Dolphin Scheduler 使用了很多优秀的开源项目，比如 google 的 guava、grpc，netty，quartz，以及 apache 的众多开源项目等等，
-正是由于站在这些开源项目的肩膀上，才有 Dolphin Scheduler 的诞生的可能。对此我们对使用的所有开源软件表示非常的感谢！我们也希望自己不仅是开源的受益者，也能成为开源的贡献者,也希望对开源有同样热情和信念的伙伴加入进来，一起为开源献出一份力！
+社区欢迎大家贡献，请参考此页面了解更多：[如何贡献](docs/docs/zh/contribute/join/contribute.md)，在[这里](https://github.com/apache/dolphinscheduler/contribute)可以找到good first issue
+如果你是首次贡献 dolphinscheduler。
 
-## 获得帮助
+## 社区
 
-1. 提交 [issue](https://github.com/apache/dolphinscheduler/issues/new/choose)
-2. [加入 slack 群](https://s.apache.org/dolphinscheduler-slack) 并在频道 `#troubleshooting` 中提问
+欢迎通过以方式加入社区：
 
-## 社区
+- 加入 [DolphinScheduler Slack](https://s.apache.org/dolphinscheduler-slack)
+- 关注 [DolphinScheduler Twitter](https://twitter.com/dolphinschedule) 来获取最新消息
+- 订阅 DolphinScheduler 邮件列表, 用户订阅 [email protected] 开发者请订阅 [email protected]
 
-1. 通过[该申请链接](https://s.apache.org/dolphinscheduler-slack)加入 slack channel
-2. 关注[Apache Dolphin Scheduler 的 Twitter 账号](https://twitter.com/dolphinschedule)获取实时动态
+# Landscapes
 
-## 版权
+<p align="center">
+<br/><br/>
+<img src="https://landscape.cncf.io/images/left-logo.svg" width="150"/>&nbsp;&nbsp;<img src="https://landscape.cncf.io/images/right-logo.svg" width="200"/>
+<br/><br/>
+DolphinScheduler enriches the <a href="https://landscape.cncf.io/?landscape=observability-and-analysis&license=apache-license-2-0">CNCF CLOUD NATIVE Landscape.</a >
 
-请参考 [LICENSE](https://github.com/apache/dolphinscheduler/blob/dev/LICENSE) 文件.
+</p >