[docs]修复kubeflow.oss的图片失效问题 (fluid-cloudnative#2138)

* [docs]修复kubeflow.oss的图片失效问题

Signed-off-by: xliuqq <xlzq1992@gmail.com>

* 更新ding talk群图片

Signed-off-by: xliuqq <xlzq1992@gmail.com>

Signed-off-by: xliuqq <xlzq1992@gmail.com>

README-zh_CN.md

@@ -12,7 +12,7 @@
 
 [English](./README.md) | 简体中文
 
-|![更新](http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/bell-outline-badge.svg) 最新进展：|
+|![更新](static/bell-outline-badge.svg) 最新进展：|
 |------------------|
 |Sep. 03th, 2022. Fluid v0.8.0  **发布**! 提供一系列新功能，包括基于Fluid边车支持的Serverlesss作业生命周期管理，按需启动Runtime controller，自动化CRD更新, 严格的pod与数据集节点的调度机制， JuicefsRuntime的Arm64支持, Alluxio Runtime的GCS支持等等，详情参见 [CHANGELOG](CHANGELOG.md)。|
 |Mar. 16th, 2021. Fluid v0.5.0 **发布**! 提供一系列新功能，包括提供数据集缓存的在线弹性扩缩容，元数据备份与恢复，Fuse全局模式部署等，详情参见 [CHANGELOG](CHANGELOG.md)。|
@@ -24,7 +24,7 @@
 Fluid是一个开源的Kubernetes原生的分布式数据集编排和加速引擎，主要服务于云原生场景下的数据密集型应用，例如大数据应用、AI应用等。通过定义数据集资源的抽象，实现如下功能：
 
 <div align="center">
-  <img src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/architecture.png" title="architecture" width="60%" height="60%" alt="">
+  <img src="static/architecture.png" title="architecture" width="60%" height="60%" alt="">
 </div>
 
 ## 核心功能
@@ -81,14 +81,14 @@ Fluid是一个开源的Kubernetes原生的分布式数据集编排和加速引
 <details>
 <summary>演示 1: 加速文件访问</summary>
 <pre>
-<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/2ee9ef7de9eeb386f365a5d10f5defd12f08457f/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f72656d6f74655f66696c655f616363657373696e672e706e67" alt="" data-canonical-src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/remote_file_accessing.png" style="max-width:100%;"></a>
+<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/2ee9ef7de9eeb386f365a5d10f5defd12f08457f/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f72656d6f74655f66696c655f616363657373696e672e706e67" alt="" data-canonical-src="static/remote_file_accessing.png" style="max-width:100%;"></a>
 </pre>
 </details>
 
 <details>
 <summary>演示 2: 加速机器学习</summary>
 <pre>
-<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/5688ab788da9f8cd057e32f3764784ce616ff0fd/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f6d616368696e655f6c6561726e696e672e706e67" alt="" data-canonical-src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/machine_learning.png" style="max-width:100%;"></a>
+<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/5688ab788da9f8cd057e32f3764784ce616ff0fd/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f6d616368696e655f6c6561726e696e672e706e67" alt="" data-canonical-src="static/machine_learning.png" style="max-width:100%;"></a>
 </pre>
 </details>
 
@@ -123,7 +123,7 @@ Fluid让Kubernetes真正具有分布式数据缓存的基础能力，开源只
 
 钉钉讨论群
 <div>
-  <img src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/dingtalk.png" width="280" title="dingtalk">
+  <img src="static/dingtalk.png" width="280" title="dingtalk">
 </div>
 
 Slack 讨论群

README.md

@@ -1,5 +1,5 @@
 <div align="left">
-    <img src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/fluid_logo.jpg" title="architecture" height="11%" width="11%" alt="">
+    <img src="static/fluid_logo.jpg" title="architecture" height="11%" width="11%" alt="">
 </div>
 
 
@@ -22,15 +22,15 @@ Fluid is an open source Kubernetes-native Distributed Dataset Orchestrator and A
 # Fluid
 English | [简体中文](./README-zh_CN.md)
 
-|![notification](http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/bell-outline-badge.svg) What is NEW!|
+|![notification](static/bell-outline-badge.svg) What is NEW!|
 |------------------|
 |Sep. 03th, 2022. Fluid v0.8.0 is **RELEASED**! It provides various new features, such as Lifecycle management of Serverless Job with fluid sidecar support, Enable runtime controller on demand, Automatic CRD upgrader, Restrict pod scheduling to dataset cache nodes, Arm64 support with JuicefsRuntime, GCS support for Alluxio Runtime, and so on. Please check the [CHANGELOG](CHANGELOG.md) for details.|
 |Mar. 02th, 2022. Fluid v0.7.0 is **RELEASED**! It provides various new features, such as Fuse sidecar auto injection for all the runtimes (suitable for serverless environment), Fuse auto recovery and upgrade, lazy fuse mount mode, support JuiceFS cache runtime and so on. Please check the [CHANGELOG](CHANGELOG.md) for details.|
 |Aug. 11th, 2021. Fluid v0.6.0 is **RELEASED**! It provides various new features, such as dataset cache autoscaling and cronscaling, dataset cache aware Pod scheduling, HA support for cache Runtime. Please check the [CHANGELOG](CHANGELOG.md) for details.|
 |Apr. 27th, 2021. Fluid accpeted by **CNCF**! Fluid project was [accepted as an official CNCF Sandbox Project](https://lists.cncf.io/g/cncf-toc/message/5822) by CNCF Technical Oversight Committee (TOC) with a majority vote after the review process. New beginning for Fluid! .|
 
 <div align="center">
-    <img src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/architecture.png" title="architecture" height="60%" width="60%" alt="">
+    <img src="static/architecture.png" title="architecture" height="60%" width="60%" alt="">
 </div>
 
 ## Features
@@ -88,14 +88,14 @@ You can also visit [Fluid Homepage](https://fluid-cloudnative.github.io) to get
 <details>
 <summary>Demo 1: Accelerate Remote File Accessing with Fluid</summary>
 <pre>
-<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/2ee9ef7de9eeb386f365a5d10f5defd12f08457f/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f72656d6f74655f66696c655f616363657373696e672e706e67" alt="" data-canonical-src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/remote_file_accessing.png" style="max-width:100%;"></a>
+<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/2ee9ef7de9eeb386f365a5d10f5defd12f08457f/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f72656d6f74655f66696c655f616363657373696e672e706e67" alt="" data-canonical-src="static/remote_file_accessing.png" style="max-width:100%;"></a>
 </pre>
 </details>
 
 <details>
 <summary>Demo 2: Machine Learning with Fluid</summary>
 <pre>
-<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/5688ab788da9f8cd057e32f3764784ce616ff0fd/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f6d616368696e655f6c6561726e696e672e706e67" alt="" data-canonical-src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/machine_learning.png" style="max-width:100%;"></a>
+<a href="http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4" rel="nofollow"><img src="https://camo.githubusercontent.com/5688ab788da9f8cd057e32f3764784ce616ff0fd/687474703a2f2f6b756265666c6f772e6f73732d636e2d6265696a696e672e616c6979756e63732e636f6d2f5374617469632f6d616368696e655f6c6561726e696e672e706e67" alt="" data-canonical-src="static/machine_learning.png" style="max-width:100%;"></a>
 </pre>
 </details>
 

docs-new/zh/concepts/overview.md

@@ -21,7 +21,7 @@ Fluid项目当前主要关注数据集编排和应用编排这两个重要场景
 
 具体的架构参见下图：
 <div align="center">
-  <img src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/architecture.png" title="architecture" height="60%" width="60%" alt="">
+  <img src="../../../static/architecture.png" title="architecture" height="60%" width="60%" alt="">
 </div>
 
 ## 概念

docs/en/userguide/overview.md

@@ -22,7 +22,7 @@ To resolve the issue that Kubernetes lacks the awareness and optimization for ap
 
 The architecture of Fluid in Kubernetes is as following:
 <div align="center">
-  <img src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/architecture.png" title="architecture" width="60%" height="60%" alt="">
+  <img src="../../../static/architecture.png" title="architecture" width="60%" height="60%" alt="">
 </div>
 
 ## Concept
@@ -40,12 +40,12 @@ We provide demo to show how to improve the AI model traning speed in Cloud by us
 
 ### Demo 1: Accelerate Remote File Accessing with Fluid
 
-[![](http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/remote_file_accessing.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4)
+[![](../../../static/remote_file_accessing.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4)
 
 
 ### Demo 2: Machine Learning with Fluid
 
-[![](http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/machine_learning.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4)
+[![](../../../static/machine_learning.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4)
 
 ## Quick Start
 Fluid needs to run on Kubernetes v1.14 or above version, also needs to support CSI storage. The deployment and management of Fluid Operator is through Helm v3 which is the package mangement tool on Kubernetes platform. Please make sure the Helm is correctly installed in the Kubernetes cluster before running Fluid.

docs/zh/userguide/overview.md

@@ -21,7 +21,7 @@ Fluid项目当前主要关注数据集编排和应用编排这两个重要场景
 
 具体的架构参见下图：
 <div align="center">
-  <img src="http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/architecture.png" title="architecture" height="60%" width="60%" alt="">
+  <img src="../../../static/architecture.png" title="architecture" height="60%" width="60%" alt="">
 </div>
 
 ## 概念
@@ -63,12 +63,12 @@ Fluid项目当前主要关注数据集编排和应用编排这两个重要场景
 
 ### 演示 1: 加速文件访问
 
-[![](http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/remote_file_accessing.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4)
+[![](../../../static/remote_file_accessing.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277753111709.mp4)
 
 
 ### 演示 2: 加速机器学习
 
-[![](http://kubeflow.oss-cn-beijing.aliyuncs.com/Static/machine_learning.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4)
+[![](../../../static/machine_learning.png)](http://cloud.video.taobao.com/play/u/2987821887/p/1/e/6/t/1/277528130570.mp4)
 
 ## 快速体验Fluid
 Fluid需要运行在 Kubernetes v1.14 及以上版本，并且需要支持CSI存储。Fluid Operator的部署和管理是通过 Kubernetes 平台上的包管理工具 Helm v3实现的。运行 Fluid前请确保 Helm 已经正确安装在 Kubernetes 集群里。