feedback on docker desktop (#2518)

* feedback on docker desktop

* comment fix

* comment

docs-2.0-en/2.quick-start/1.quick-start-workflow.md

@@ -2,18 +2,15 @@
 
 You can quickly get started with NebulaGraph by deploying NebulaGraph with Docker Desktop or Docker Compose. 
 
-
 === "Using Docker Desktop"
 
     NebulaGraph is available as a [Docker Extension](https://hub.docker.com/extensions/weygu/nebulagraph-dd-ext) that you can easily install and run on your Docker Desktop. You can quickly deploy NebulaGraph using Docker Desktop with just one click.
 
-    1. Install Docker Desktop
-
-      - [Install Docker Desktop on Mac](https://docs.docker.com/docker-for-mac/install/)
-      - [Install Docker Desktop on Windows](https://docs.docker.com/docker-for-windows/install/)
-
+    1. Install [Docker Desktop](https://www.docker.com/products/docker-desktop/).
+
       !!! caution
-          To install Docker Desktop, you need to install [WSL 2](https://docs.docker.com/desktop/install/windows-install/#system-requirements) first. 
+
+            We do not recommend you deploy {{nebula.name}} on Docker Desktop for Windows due to its subpar performance. For details, see [#12401](https://github.com/docker/for-win/issues/12401). If you must use Docker Desktop for Windows, install [WSL 2](https://docs.docker.com/desktop/install/windows-install/#system-requirements) first.
 
     2. In the left sidebar of Docker Desktop, click **Extensions** or **Add Extensions**.
     3. On the Extensions Marketplace, search for NebulaGraph and click **Install**.

docs-2.0-en/4.deployment-and-installation/1.resource-preparations.md

@@ -15,11 +15,12 @@ NebulaGraph is designed and implemented for NVMe SSD. All default parameters are
 - Use local SSD devices, or AWS Provisioned IOPS SSD equivalence.
 
 ## About CPU architecture
-     
-!!! note
 
-    Starting with 3.0.2, you can run containerized NebulaGraph databases on Docker Desktop for ARM macOS or on ARM Linux servers. 
+Starting with 3.0.2, you can run containerized NebulaGraph databases on Docker Desktop for ARM macOS or on ARM Linux servers. 
+
+!!! caution
 
+    We do not recommend you deploy {{nebula.name}} on Docker Desktop for Windows due to its subpar performance. For details, see [#12401](https://github.com/docker/for-win/issues/12401). 
 
 
 ## Requirements for compiling the source code

docs-2.0-zh/2.quick-start/1.quick-start-overview.md

@@ -10,7 +10,7 @@
 
       !!! caution
 
-            如果在 Windows 端安装 Docker Desktop 需[安装 WSL 2](https://docs.docker.com/desktop/install/windows-install/)。
+            不建议在 Windows 上使用 Docker Desktop，因为 Windows 上的 Docker Desktop 性能较差。详情请参见 [#12401](https://github.com/docker/for-win/issues/12401)。如果在 Windows 端安装 Docker Desktop 需[安装 WSL 2](https://docs.docker.com/desktop/install/windows-install/)。
 
     2. 在仪表盘中单击`Extensions`或`Add Extensions`打开Extensions Marketplace 搜索 {{nebula.name}} ，也可以点击 [{{nebula.name}} ](https://hub.docker.com/extensions/weygu/nebulagraph-dd-ext) 在 Docker Desktop 打开。
     3. 导航到 {{nebula.name}} 的扩展市场。

docs-2.0-zh/4.deployment-and-installation/1.resource-preparations.md

@@ -20,13 +20,11 @@
 
 ## 关于 CPU 架构
 
+从 3.0.2 开始，{{nebula.name}} 在 Docker Hub 上的 Docker 支持 ARM64 架构。社区用户可以在 ARM macOS 的 Docker Desktop 上或者 ARM Linux Server 上运行容器化的 {{nebula.name}} 。
 
+!!! caution
 
-!!! note
-
-    从 3.0.2 开始，{{nebula.name}} 在 Docker Hub 上的 Docker 支持 ARM64 架构。社区用户可以在 ARM macOS 的 Docker Desktop 上或者 ARM Linux Server 上运行容器化的 {{nebula.name}} 。
-
-
+    不建议在 Windows 上使用 Docker Desktop，因为 Windows 上的 Docker Desktop 性能较差。详情请参见 [#12401](https://github.com/docker/for-win/issues/12401)。
 
 
 ## 编译源码要求