![]() ANT_HOME to the directory you uncompressed Ant.Uncompress the downloaded file into a directory.You would be calling these tasks once you are done with the build and unit/integration tests. Running the test by passing the test properties from Jenkins to JMeter.Cleaning the project by removing the temp files for a fresh test.So, it takes the default values (like 1 user with 1 second ramp-up for 5 seconds test duration).ĪNT: It is a build tool – here we will be using ANT to execute a set of tasks in the given order. To run the test in design mode/standalone mode, We use User Defined Variables as shown here.At run time, we will pass values for those variables from Jenkins.I have used variables in the Thread Count, Ramp Up and Duration fields.I am going to consider a simple JMeter test which will login, search for a product and logout.Ensure that the script can be run on any given environment like QA/PPE/Staging etc.Check below useful articles from TestAutomationGuru.Create some basic performance test script using JMeter.Lets see how we can implement the above process in this post by using JMeter + Ant + Jenkins. Note that this is NOT going to replace the full scale performance test which we will do in the Staging environment. Yes! We absolutely can! The idea here is to run the performance test in the lower environments (we might have to adjust the load accordingly) & to compare the results against some baseline metrics. So, Can we fit the performance testing into the existing continuous development & testing process to detect the performance issues as early as possible? This performance issue requires code change -> build -> QA verification once again which could postpone your Production push! So even if QA certifies the build, there is a chance that code might not work as expected at certain load which could be found only in Staging environment. Usually the full scale Performance Test will be done in the Staging/Pre-Production environment which could be identical to your Production environment. Code push to Staging happens after thorough QA functional/regression verification is done. To create a Continuous Delivery Pipeline which includes Performance Testingprocess to detect any performance related issues as early as possible.
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