Gatling also makes use of Async HTTP Client. Gatling is a lightweight DSL written in Scala that comes with the interesting premise of "treating your performance tests as production code". of total users, users over time …) The different parts will be explained in more detail in the following sections. Gatling is a load test tool. It was also mentioned in the ThoughtWorks Radar 2013 and 2014 as a tool worth trying. Scenario configuration (no. Include a graphic of the number of virtual users during the test; You can zoom in on the graphics to focus and analyze them with more detail in certain areas; Graph the requests per second and the responses per second, including the comparison of the number of active users; You can see each request in detail, in order to refine your analysis Gatling (ガトリング, Gatoringu?) But the possibilities for reusing different parts across tests should already be obvious. In the worst case (note that 1 page view takes 1 sec on the server side), however, this would amount to 100 * 3,600 sec = 36,000 page views per hour. Actors are small entities communicating with other actors through messaging. The Gatling homepage describes it this way: “Gatling is a highly capable load testing tool. Motivation. Requests is not a built in module (does not come with the default python installation), so you will have to install it: OSX/Linux. It is designed for ease of use, maintainability and high performance… Out of the box, Gatling comes with excellent support of the HTTP protocol….. Gatling is a powerful open-source Performance Test tool released in December, 2011. Another example of Gatling scenario with complex authentication/response processing and number of simple requests that have been used as a test. Use $ sudo pip install requests (or pip3 install requests for python3) if you have pip installed. - LoginSimulation.scala Gatling What is Gatling ? Finding fancy GUIs not that convenient for describing load tests, what you want is a friendly expressive DSL? Akka is a distributed framework based on the actor model. Gatling will generate an HTML report at the end of the run, which contains multiple graphs and statistics, for the total run as well as for each request. is the Quirk used by Gunhead.1 1 Description 2 References 3 External Links 4 Site Navigation Gatling grants Gunhead gun-like organs in his arms. You can also question the numbers by approaching the problem from another perspective: if 100 users are simultaneously active, then they can simultaneously request 100 page views. Scalability testing — Helps to gauge the ability of a system to cope with higher levels of non-functional parameters, such as the volume of requests, data and users. Running the calls asynchronously may cut down the overall time needed to complete a given operation from the perspective of your user (which might well be all you need), but in aggregate, the time taken would still be longer for multiple calls. Here's a snippet of the test result report: When using JMeter, we can open the GUI after the test run and generate an HTML report based on the log file where we saved the results: It can simulate multiple virtual users with a single Thread. It officially supports HTTP, WebSocket, Server-Sent-Events and JMS. Gatling currently provides support for HTTP protocols (including WebSocket and … Gatling uses a more advanced engine based on Akka. It allows fully asynchronous computing. If pip is installed but not in your path you can use python -m pip install requests (or python3 -m pip install requests for python3) TL;DR: All other application considerations aside, performing a single call would be faster than performing multiple calls. 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