Unleash the Power of JMeter Performance Testing with HyperExecute

This is currently in the Beta version.

Prerequisites

• Setup the JMeter Test Plan using Apache JMeter GUI.

After setting up a Test Plan, now you need to associate your test cases and execute it as well via HyperExecute.

Step 1: Setup your JMeter Project

• Go to the HyperExecute Project's Dashboard and click on the Setup new project button.
• Browse and Upload the test plans that you have created.
• Click on the Save button

Step 2: Execute Your Test Plans

• Select your desired .jmx file and click on the Run button.

• Configure the following parameters to perform the testing and click on the Continue button

  • Total Users : This indicates the number of users you intend to test for.
  • Duration (min) : This specifies the desired duration for the test.
  • Ramp-up Time (min) : This specifies the amount of time it should take to reach the peak test load.
  • Total Load Distribution : Configure the regions in which you want to distribute the load testing as per the % of the users.

info

Supported Regions : HyperExecute supports the following regions for performance testing

• West US 2 (Moses Lake, Washington)
• East US (Richmond, Virginia)
• Central India (Pune, Maharashtra)
• Southeast Asia (Singapore)
• Brazil South (São Paulo State, Brazil)
• Mexico Central (Querétaro State, Mexico)

• Click on the Run Test button.

Step 3: Analyze Your Project Performance

• Toggle to the Jobs section.

Summary Report

• Here you can check the Summary of your Job executed that comprises of the details:

  • Total number of Virtual Users which basically simulates an instance script of real-world visitors to your app or site.
  • Ramp-up and Average Response time.
  • Average Throuput and Bandwidth time.
  • Load and Response Time graph.
  • Additional details like regions and test duration.

Timeline Report

Request Stats

You can analyze the number of requests sent on that particular time.

Errors

• Here you can check the Error Code type, Error Count, percentage of that error, and the percent of error in all the samples.

Logs

• You can check the logs of your Jobs executed.