Typically, you'll be working with a specific peak load over a one hour period that you are trying to simulate (e.g. Fill one of the two tables below to get the required number of virtual users. How to calculate number of virtual users (VUsers) for load/stress testing? Given the free 20K virtual user minutes per month (VUM), breaking this down the cost is: (30,000 VUM x 60 Minutes - 20,000 Free Minutes) x $0.0004 = (1.8 Million VUM - 20K VUM) x $0.0004 = For more information, see Specify the number of virtual users with load patterns in a load test scenario. What should be the peak load? This is a user provided value based on actual requirements of the load test. 5. What should be the concurrent virtual users to load? You can choose from the three available patterns: step pattern, constant and goal based. The main purpose of VUsers is to simulate the live environment. Since the test is one hour long (probably representing the peak hour in the day) and the script only takes on average 6 minutes (including think time) to execute, I can re-use that vuser to simulate the load of up to 10 normal users over the hour duration. Number of Virtual Users: This is the number of virtual users that will be used to run that user group. We cannot give number of VUsers blindly which will not return intuitive result for analysis. Estimate the number of virtual users you need to simulate load on your website. 25, 100, 500, 1000. However, if you calculate the average concurrent sessions for just Nov. 25, you get 1.05 — … Run the script again with ten virtual users. 6. tl;dr — This post is about using Google Analytics to determine how many concurrent users to specify in your load tests. More importantly, your posted question appears to be related to general load testing against a website. Record the amount of memory and CPU percentage used by the different processes. 4. Compute the number of Virtual Users required for your Performance Test. The Total in last row gives the total load (in TPM) for this whole scenario. The good thing is that LoadView can take the complexity and worry out of load testing. Run that sample as a single-user load test in order to get baseline resource utilization. Calculating the number of virtual users for browser driven load testing There are no fixed guidelines on this type of testing because each virtual user has to run the browser application (BrowserApplication.exe) and the full application gets rendered in the browser application so it is also dependent on the size of the application. It shows your scenario of 30K users for 60 minutes costing $712. Multiply those numbers by the desired number of virtual users. To answer your question directly, calculation for "Average concurrent user" will not be equal to "concurrent user" because one of them is calculating for average value while the other is absolute value. How to design your load test. A load pattern specifies the number of virtual users active during a load test, and the rate at which new users are added. The Azure Pricing Calculator has a slider for calculating the load test cost. 3. ... = .08 average concurrent users in November. Calculating the number of concurrent users is one of the many factors needed to properly setup a load test. The total may or may not mean much but it does provide the total TPM at a glance. This provides a baseline for a single virtual user. LoadView steps you through the process and takes out the hassle of having to manage load injectors or virtual machines. 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