update volcano community introduction materials

Signed-off-by: Thor-wl <13164644535@163.com>

SECURITY.md

@@ -19,7 +19,7 @@ The initial Product Security Team will consist of all maintainers in the private
 
 If you find a security vulnerability or any security related issues,
 please DO NOT file a public issue. Do not create a Github issue.
-Instead, send your report privately to [volcano-security](volcano-security@googlegroups.com).
+Instead, send your report privately to [volcano-security@googlegroups.com](volcano-security@googlegroups.com).
 Security reports are greatly appreciated and we will publicly thank you for it.
 
 Please provide as much information as possible, so we can react quickly.
@@ -30,7 +30,7 @@ For instance, that could include:
 
 ### Public Disclosure Processes
 
-If you know of a publicly disclosed security vulnerability please IMMEDIATELY email [volcano-security](volcano-security@googlegroups.com)
+If you know of a publicly disclosed security vulnerability please IMMEDIATELY email [volcano-security@googlegroups.com](volcano-security@googlegroups.com)
 to inform the Product Security Team (PST) about the vulnerability so we start the patch, release, and communication process.
 
 If possible the PST will ask the person making the public report if the issue can be handled via a private disclosure process

contribute.md

@@ -39,7 +39,7 @@ The goal of the community is to develop a volcano system which is useful for run
 
 We will help you to contribute in different areas like filing issues, developing features, fixing critical bugs and getting your work reviewed and merged.
 
-If you have questions about the development process, feel free to jump into our [Slack Channel](https://github.com/volcano-sh/volcano/blob/master/slack-invitation) or join our [mailing list](https://groups.google.com/forum/#!forum/volcano-sh).
+If you have questions about the development process, feel free to jump into our [Slack Channel](https://volcano-sh.slack.com/) or join our [mailing list](https://groups.google.com/forum/#!forum/volcano-sh).
 
 ## Find something to work on
 
@@ -51,7 +51,7 @@ Here is how you get started.
 
 There are [multiple repositories](https://github.com/volcano-sh/) within the Volcano organization.
 Each repository has beginner-friendly issues that provide a good first issue.
-For example, [Volcano-Issues](https://github.com/volcano-sh/volcano) has [help wanted](https://github.com/volcano-sh/volcano/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22) and [good first issue](https://github.com/volcano-sh/volcano/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) labels for issues that should not need deep knowledge of the system.
+For example, [Volcano-Issues](https://github.com/volcano-sh/volcano/issues) has [help wanted](https://github.com/volcano-sh/volcano/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22) and [good first issue](https://github.com/volcano-sh/volcano/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) labels for issues that should not need deep knowledge of the system.
 We can help new contributors who wish to work on such issues.
 
 Another good way to contribute is to find a documentation improvement, such as a missing/broken link.

docs/community/adopters.md

@@ -10,16 +10,21 @@ please feel free to add yourself into the following list by a pull request. Ther
 
 | Organization | Contact | Environment | Description of Use |
 | ------------ | ------- | ----------- | ------------------ |
-| [Unisound](https://www.unisound.com/) |[@xieydd](https://github.com/xieydd)| Evaluation | Evaluation in ATLAS AI Platform |
+| [Huawei Cloud](https://www.huaweicloud.com/intl/en-us/) |[@k82cn](https://github.com/k82cn)| Production | Scheduler & Job Management of AI Container Service and [CCI](https://www.huaweicloud.com/product/cci.html) service |
+| [Tencent](https://www.tencent.com/zh-cn) |[@carmark](https://github.com/carmark)| Production | Production in AI Platform |
+| [Baidu](https://baidu.com/) |[@tizhou86](https://github.com/tizhou86)| Production | Scheduler for Deep Learning Platform to Optimize Performance |
+| [IQIYI](https://www.iqiyi.com/) | [@lihao](https://github.com/silenceli)| Production | Scheduler & Job Management for Deep Learning platform on K8s |
+| [Xiaohongshu](https://www.xiaohongshu.com/) | [@xiaogaozi](https://github.com/xiaogaozi), [@Cplo](https://github.com/Cplo) | Production | Batch system for internal machine learning platform |
+| [VIPS](https://www.vip.com/) | [@xinchun-wang](@https://github.com/xinchun-wang) | Production | Tensorflow on K8s |
+| [DiDi](https://www.didiglobal.com/) | [@tongchao199](https://github.com/tongchao199) | Production | Batch system for Distributed Deep Learning platform on K8s |
+| [Bosszhipin](https://www.zhipin.com/?sid=sem_pz_bdpc_dasou_title) | [@hudson741](https://github.com/hudson741) | Production | Batch system for Distributed AI platform on K8s |
+| [Leinao](http://www.leinao.ai/) | [@king-jingxiang](https://github.com/king-jingxiang) | Production | Work as part of Leinao OS |
+| [Ruitian Capital](https://www.ruitiancapital.com/#/) | [@zen-xu](https://github.com/zen-xu) | Production | Batch system for AI platform on K8s |
+| [JD Retail Infrastructure Department](https://jd.com/) |[@yuanchen8911](https://github.com/yuanchen8911)| Evaluation | Spark on K8S  |
 | [BIBDR](http://www.bibdr.org/en/) |[@felix5572](https://github.com/felix5572)| Evaluation | Scientific calculations in physics, materials , biology and chemistry. molecular dynamics simulation. |
-| [Baidu](https://baidu.com/) |[@tizhou86](https://github.com/tizhou86)| Testing | Scheduler for Deep Learning Platform to Optimize Performance |
+| [Unisound](https://www.unisound.com/) |[@xieydd](https://github.com/xieydd)| Evaluation | Evaluation in ATLAS AI Platform |
+| [Shareit](https://www.ushareit.com/) | [@yujiantao](https://github.com/yujiantao) | Evaluation | Spark on K8s |
+| [Vivo](https://www.vivo.com/) | [@zionwu](https://github.com/zionwu) | Evaluation | Scheduler for Vtraining (deep learning training platform) |
 | [GrandOmics](https://www.grandomics.com/) |[@alartin](https://github.com/alartin)| Evaluation | Infrastructure of Hanwell (Huawei Cloud backend of Cromwell which is a Broad Institute implementation of WDL) |
-| [Huawei Cloud](https://huaweicloud.com/) |[@tsjsdbd](https://github.com/tsjsdbd)| **Production** | Scheduler & Job Management of AI Container Service and CCI  |
-| [JD Retail Infrastructure Department](https://jd.com/) |[@yuanchen8911](https://github.com/yuanchen8911)| Evaluation | Spark on K8S  |
 | [kt NexR](https://www.ktnexr.com) |[@minyk](https://github.com/minyk), [@dieselnexr](https://github.com/dieselnexr)| Evaluation | spark scheduler of our next cloud native product. |
-| [QTT Bigdata Infra](https://ir.qutoutiao.net/) |[@yuzhaojing](https://github.com/yuzhaojing) | Evaluation | Spark and AI on K8S. |
-| [Vivo](https://www.vivo.com/) | [@zionwu](https://github.com/zionwu)                         | Evaluation | Scheduler for Vtraining (deep learning training platform) |
-| [Xiaohongshu](https://www.xiaohongshu.com/) | [@xiaogaozi](https://github.com/xiaogaozi), [@Cplo](https://github.com/Cplo)                         | **Production** | Batch system for internal machine learning platform |
-| [Shareit](https://www.ushareit.com/) | [@yujiantao](https://github.com/yujiantao)                         | Evaluation | Spark on K8s |
-| [iqiyi](https://www.iqiyi.com/) | [@lihao](https://github.com/silenceli)                     | Staging    | Scheduler & Job Management for Deep Learning platform on K8s |
-| [didichuxing](https://www.didiglobal.com/) | [@tongchao199](https://github.com/tongchao199) | Testing | Batch system for Distributed Deep Learning platform on K8s |
+| [QTT Bigdata Infra](https://ir.qutoutiao.net/) |[@yuzhaojing](https://github.com/yuzhaojing) | Evaluation | Spark and AI on K8S. |