Doc: add JetBrains logo and OpenSourceSupport website link

Author: LinShunKang

README.CN.md

@@ -22,21 +22,21 @@
 
 ## 文档
 * [English Doc](https://github.com/LinShunKang/MyPerf4J/wiki/English-Doc)
-* [中文文档](https://github.com/LinShunKang/MyPerf4J/wiki/Chinese-Doc)    
-    
+* [中文文档](https://github.com/LinShunKang/MyPerf4J/wiki/Chinese-Doc)
+
 ## 监控指标
 MyPerf4J 为每个应用收集数十个监控指标，所有的监控指标都是实时采集和展现的。
 
 下面是 MyPerf4J 目前支持的监控指标列表:
 - **[Method Metrics](https://grafana.com/dashboards/7766)**<br/>
-[RPS，Count，Avg，Min，Max，StdDev，TP50, TP90, TP95, TP99, TP999, TP9999, TP100](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#method-metrics)
-![Markdown](https://raw.githubusercontent.com/LinShunKang/Objects/master/MyPerf4J-InfluxDB-Method_Show_Operation.gif)
+  [RPS，Count，Avg，Min，Max，StdDev，TP50, TP90, TP95, TP99, TP999, TP9999, TP100](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#method-metrics)
+  ![Markdown](https://raw.githubusercontent.com/LinShunKang/Objects/master/MyPerf4J-InfluxDB-Method_Show_Operation.gif)
 
 - **[JVM Metrics](https://grafana.com/dashboards/8787)**<br/>
-[Thread](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-thread-metrics)，[Memory](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-memory-metrics)，[ByteBuff](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-bytebuff-metrics)，[GC](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-gc-metrics)，[Class](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-class-metrics)，[Compilation](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-compilation-metrics)，[FileDescriptor](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-filedescriptor-metrics)
-![Markdown](https://github.com/LinShunKang/Objects/blob/master/images/JVM_Metrics_Dashboard_V2.png?raw=true)
+  [Thread](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-thread-metrics)，[Memory](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-memory-metrics)，[ByteBuff](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-bytebuff-metrics)，[GC](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-gc-metrics)，[Class](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-class-metrics)，[Compilation](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-compilation-metrics)，[FileDescriptor](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-filedescriptor-metrics)
+  ![Markdown](https://github.com/LinShunKang/Objects/blob/master/images/JVM_Metrics_Dashboard_V2.png?raw=true)
 
-    > 想知道如何实现上述效果？请先按照[快速启动](https://github.com/LinShunKang/MyPerf4J#%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8)的描述启动应用，再按照[这里](https://github.com/LinShunKang/MyPerf4J/wiki/InfluxDB_)的描述进行安装配置即可。
+  > 想知道如何实现上述效果？请先按照[快速启动](https://github.com/LinShunKang/MyPerf4J#%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8)的描述启动应用，再按照[这里](https://github.com/LinShunKang/MyPerf4J/wiki/InfluxDB_)的描述进行安装配置即可。
 
 ## 快速启动
 MyPerf4J 采用 JavaAgent 配置方式，**透明化**接入应用，对应用代码完全**没有侵入**。
@@ -100,10 +100,16 @@ DemoDAO.getId2()             DynamicProxy          DAO        0.00%     2176
 <img src="https://github.com/LinShunKang/Objects/blob/master/logos/dianzhang_303x303.jpeg?raw=true" width="80" height="80"/>
 </div>
 
+## 鸣谢
+感谢 JetBrains [OpenSourceSupport](https://www.jetbrains.com/community/opensource/#support) 所提供的支持 : )
+<div align="center">
+<img src="https://resources.jetbrains.com/storage/products/company/brand/logos/jb_beam.svg" width="200" height="200"/>
+</div>
+
 ## 项目捐赠
 如果 MyPerf4J 对您有帮助，可以使用微信扫描下面的赞赏码，请我喝杯咖啡 : )
 <div align="center">
-<img src="https://github.com/LinShunKang/Objects/blob/master/logos/WechatIMG16.jpeg?raw=true" width="260" height="260"/>
+<img src="https://github.com/LinShunKang/Objects/blob/master/logos/WechatIMG16.jpeg?raw=true" width="200" height="200"/>
 </div>
 
 ## 参考项目

README.EN.md

@@ -92,6 +92,12 @@ Welcome to register the company name in this issue: [https://github.com/LinShunK
 <img src="https://github.com/LinShunKang/Objects/blob/master/logos/dianzhang_303x303.jpeg?raw=true" width="80" height="80"/>
 </div>
 
+## Thanks
+Thanks JetBrains support provided by [OpenSourceSupport](https://www.jetbrains.com/community/opensource/#support) : )
+<div align="center">
+<img src="https://resources.jetbrains.com/storage/products/company/brand/logos/jb_beam.svg" width="200" height="200"/>
+</div>
+
 ## Inspired by
 * [Perf4J](https://github.com/perf4j/perf4j)
 * [TProfiler](https://github.com/alibaba/TProfiler)

README.md

@@ -22,21 +22,21 @@
 
 ## 文档
 * [English Doc](https://github.com/LinShunKang/MyPerf4J/wiki/English-Doc)
-* [中文文档](https://github.com/LinShunKang/MyPerf4J/wiki/Chinese-Doc)    
-    
+* [中文文档](https://github.com/LinShunKang/MyPerf4J/wiki/Chinese-Doc)
+
 ## 监控指标
 MyPerf4J 为每个应用收集数十个监控指标，所有的监控指标都是实时采集和展现的。
 
 下面是 MyPerf4J 目前支持的监控指标列表:
 - **[Method Metrics](https://grafana.com/dashboards/7766)**<br/>
-[RPS，Count，Avg，Min，Max，StdDev，TP50, TP90, TP95, TP99, TP999, TP9999, TP100](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#method-metrics)
-![Markdown](https://raw.githubusercontent.com/LinShunKang/Objects/master/MyPerf4J-InfluxDB-Method_Show_Operation.gif)
+  [RPS，Count，Avg，Min，Max，StdDev，TP50, TP90, TP95, TP99, TP999, TP9999, TP100](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#method-metrics)
+  ![Markdown](https://raw.githubusercontent.com/LinShunKang/Objects/master/MyPerf4J-InfluxDB-Method_Show_Operation.gif)
 
 - **[JVM Metrics](https://grafana.com/dashboards/8787)**<br/>
-[Thread](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-thread-metrics)，[Memory](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-memory-metrics)，[ByteBuff](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-bytebuff-metrics)，[GC](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-gc-metrics)，[Class](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-class-metrics)，[Compilation](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-compilation-metrics)，[FileDescriptor](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-filedescriptor-metrics)
-![Markdown](https://github.com/LinShunKang/Objects/blob/master/images/JVM_Metrics_Dashboard_V2.png?raw=true)
+  [Thread](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-thread-metrics)，[Memory](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-memory-metrics)，[ByteBuff](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-bytebuff-metrics)，[GC](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-gc-metrics)，[Class](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-class-metrics)，[Compilation](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-compilation-metrics)，[FileDescriptor](https://github.com/LinShunKang/MyPerf4J/wiki/%E6%8C%87%E6%A0%87#jvm-filedescriptor-metrics)
+  ![Markdown](https://github.com/LinShunKang/Objects/blob/master/images/JVM_Metrics_Dashboard_V2.png?raw=true)
 
-    > 想知道如何实现上述效果？请先按照[快速启动](https://github.com/LinShunKang/MyPerf4J#%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8)的描述启动应用，再按照[这里](https://github.com/LinShunKang/MyPerf4J/wiki/InfluxDB_)的描述进行安装配置即可。
+  > 想知道如何实现上述效果？请先按照[快速启动](https://github.com/LinShunKang/MyPerf4J#%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8)的描述启动应用，再按照[这里](https://github.com/LinShunKang/MyPerf4J/wiki/InfluxDB_)的描述进行安装配置即可。
 
 ## 快速启动
 MyPerf4J 采用 JavaAgent 配置方式，**透明化**接入应用，对应用代码完全**没有侵入**。
@@ -100,10 +100,16 @@ DemoDAO.getId2()             DynamicProxy          DAO        0.00%     2176
 <img src="https://github.com/LinShunKang/Objects/blob/master/logos/dianzhang_303x303.jpeg?raw=true" width="80" height="80"/>
 </div>
 
+## 鸣谢
+感谢 JetBrains [OpenSourceSupport](https://www.jetbrains.com/community/opensource/#support) 所提供的支持 : )
+<div align="center">
+<img src="https://resources.jetbrains.com/storage/products/company/brand/logos/jb_beam.svg" width="200" height="200"/>
+</div>
+
 ## 项目捐赠
 如果 MyPerf4J 对您有帮助，可以使用微信扫描下面的赞赏码，请我喝杯咖啡 : )
 <div align="center">
-<img src="https://github.com/LinShunKang/Objects/blob/master/logos/WechatIMG16.jpeg?raw=true" width="260" height="260"/>
+<img src="https://github.com/LinShunKang/Objects/blob/master/logos/WechatIMG16.jpeg?raw=true" width="200" height="200"/>
 </div>
 
 ## 参考项目