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Visualvm vs jprofiler1/7/2023 ![]() Save the changes and redeploy the project to the Azure cloud service:Ħ50) this.width=650 "src=" Http://s3./wyfs02/M01/74/0F/wKiom1YRDVCDyV2fAAMe2-Ko_bY530.jpg "title=" Deploytocloud-1.png "alt=" Wkiom1yrdvcdyv2faame2-ko_by530.jpg "/> authenticate=falseĦ50) this.width=650 "src=" "style=" float: none "title=" Compojava.png "alt=" Wkiol1yrdhbqghhqaafnm5pppla166.jpg "/>Īdd the JMX parameter above to the jetty startup parameterĦ50) this.width=650 "src=" "style=" float: none "title=" Compojavaadded.png "alt=" Wkiom1yrdgxrdhauaaixy8pk3vi745.jpg "/> =.port=1099 (this port can be defined by itself) ![]() Locate the Jetty startup line and add the JMX parameter after Java start: PNG "alt=" Wkiom1yrcysblmpvaalybtios94243.jpg "/> Open your Azure deployment project in Eclipse and find package.xml:Ħ50) this.width=650 "src=" Http://s3./wyfs02/M00/74/0F/wKiom1YRCySBlMpVAALYBTios94243.jpg "title=" Package. Configure Cloud service remote connections Deploy Java apps to Azure cloud services ( )ī. This article assumes that you have mastered the quantity:Ī. VISUALVM get JVM data in two ways, JMX or Jstat, after the Java app is deployed in the cloud service, you need to explicitly specify the JMX parameters to open the service before you can monitor, the following steps are step by step: In my test, I found that the most important reason is that when the cloud service starts jetty, Java is run as a daemon, so it cannot be detected in the local instance of cloud service with VISUALVM. So the question is, how do we monitor the performance of the JVM after we deploy Java Web App to Azure Cloud service? An easy way is to use the cloud service's RDP service, log on to the remote machine, and then open the local VISUALVM for monitoring, but we will find that although our Java application can be accessed normally, However, it is not possible to see Tomcat or Jetty Application server processes, nor can they monitor:Ħ50) this.width=650 "src=" Http://s3./wyfs02/M02/74/08/wKioL1YP8Xmg8DCYAAKmwwALzj4987.jpg "title=" Nothreadvm.png "alt=" Wkiol1yp8xmg8dcyaakmwwalzj4987.jpg "/> PNG "alt=" Wkiom1yoqi_gsn0naaehisnkljq683.jpg "/> PNG "alt=" Wkiol1yoqjnxkoqoaafnd6h4ywg632.jpg "/>Ħ50) this.width=650 "src=" "style=" float: none "title=" Thread. PNG "alt=" Wkiom1yoqehdq2hvaaqmco8jg7y442.jpg "/>Ħ50) this.width=650 "src=" "style=" float: none "Title=" Monitor. You can see the 3 Java programs running locally, double-click the PID 19256 Tomcat program, you can see a wealth of options, such as Overview,monitor,thread:Ħ50) this.width=650 "src=" Http://s3./wyfs02/M01/74/08/wKiom1YOqeHDq2HvAAQmco8Jg7Y442.jpg "title=" Overview. PNG "alt=" Wkiom1yoqluitfbpaajge9sgyqi964.jpg "/> Let's take a look at the effect of VISUALVM running locally, my test environment launches applications such as ECLIPSE,TOMCAT, enter your Java installation directory, open the Bin folder, find the JVISUALVM program, and open the main interface to see, A locally run Java program has been discovered:Ħ50) this.width=650 "src=" Http://s3./wyfs02/M00/74/08/wKiom1YOqLuiTfBpAAJGE9SgyQI964.jpg "title=" MainPage. There are more tools on the market for Java profiling, such as commercial jprofiler,jclarity and so on, there are free JDK's own tools, such as VISUALVM,JCONSOLE,JMC and so on, So how do we use these tools for performance monitoring and tuning when we deploy Java applications to Azure Cloud service? This article takes the example of VISUALVM and JMC from Oracle JDK 1.8. of the JVM, or to run the program in order to diagnose problems or optimize the process. ![]() When we do Java development, we need to stress test the program before going online, to fully monitor the performance of the program, to understand the CPU, memory, gc,classes, thread, etc.
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