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concurrent users meaning in performance testing

Have you ever thought of running a performance test with 100,000 real browsers? The Role of Concurrent Users in Load Testing. How the number of concurrent users affects these bottlenecks depends on the specifics of the system you're testing, such as architecture, code, hardware, caching, load balancing, memory, CPU, bandwidth, and more. This kind of test has the following characteristics: Short-running: test is ran very quickly (usually a few minutes),; Spike Load: load increases dramatically and very quickly to a huge surge. (Notice that I mentioned “unique visitors” not “concurrent users” at this time, their meaning is different. Simply: Virtual users (VUs) are concurrent users that are able to open multiple connections in parallel during a test.Virtual Users constantly iterate through their user scenario until the test is over. Concurrency testing is also known as multi-user testing, performed to identify the defects in an application when multiple users login to the application. Menu. Assume that: 80% of the traffic comes between 7AM and 11AM => Numbers of unique visitors between 7-11Am = 80*50k/100 = 40k. Real performance testing throughput results: I use HP's LoadRunner (which comes with a throughput monitor) for performance testing. Concurrency Testing is defined as a testing technique to detect the defects in an application when multiple users are logged in. It does not equate to RPS because one user can generate a high number of requests, and each VUser will not constantly be generating requests. The term load testing is used in different ways in the professional software testing community. tl;dr - Summary. It helps in identifying and measuring the problems in system parameters such as response time, throughput, locks/dead locks or any other issues associated with concurrency. A “unique user,” on the other hand, is simply a single execution of a concurrent user or the completion of one transaction (execution of the test script from start to finish). The above image clearly explains to us that Performance Testing is the superset for both load & stress testing.Other types of testing included in performance testing are Spike testing, Volume testing, Endurance testing, and Scalability testing.Thus, Performance testing is … Using the average traffic metrics will often be significantly lower than peak times. Load testing services with many users analysis. Scalability, a performance testing parameter that investigates a system's ability to grow by increasing the workload per user, or the number of concurrent users, or the size of a database. Active users: The approximate average number of users that are active on a system, but not necessarily submitting requests, during a given period of time. Hits per second, Request per seconds, Transaction per seconds (i.e. Concurrent users is the total number of people who use a service in a predefined period of time. JMeter Performance Testing. The image below show the concurrent testing. For the thread group I've got: Number of threads 10, Ramp up period: 60, Loop Count 3. Before calculating the number of concurrent users, you’ll want to find the times where peak traffic occurs. Oh, … Concurrent Users: The word concurrent is used only for the events that occur over a period of time i.e. Proposed Solution We, at ClicQA, understood the client’s requirement and proposed 4 rounds of performance test cycles having minimum four tests each. k6 is developer centric and allows local load testing behind the firewall as well as cloud based testing using Load Impact Cloud Execution. I am doing some performance testing with jMeter on my application. When the multiple users, without any time difference, hits on a same event of the application under the load test is called a concurrent user hit. As such, this testing is most relevant for multi-user systems; often one built using a client/server model, such as web servers. You would have actually done it with 1 Lac live concurrent users on your application. A concurrent user runs through a transaction from start to finish, and then repeats until the test is over. make it as a part of your continuous integration pipeline) - this way you will get confidence that the new functionality or bug fixes will not cause performance degradation. If you would have done that, you must have experienced at least one of the following things. Only by knowing the test cases and additional numbers such as visits and page views per time unit can you a) define a number of concurrent users and b) check each number by means of calculation against the other numbers. In other words monitoring the effect while multiple users perform the same action at the same time. Soak tests are long-duration tests with a static number of concurrent users that test the overall robustness of the system. 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