#STRESS TEST API POSTMAN SOFTWARE#
Whether it is a deadline, fixing an urgent bug, a downtime or something else, the QA department has to be in charge of keeping watch over the quality of the software and react quickly. In all the projects I’ve been and am involved in, more often than not, time is key. The essential task is to adjust the type of testing used to the questions we want to answer. Those ‘spikes’ should be created either between periods of usual production load (imitating the production environment) or no load at all.Īll types of testing help in defining problems and effectively, improving the quality of the end product. Spike testing is a subtype of stress testing that focuses on the performance of the app under huge load volumes in a short period. Seemingly harsh, it provides measurements about when the software fails, how it handles the inevitable errors, how it communicates being beyond the bandwidth capacity and last but not least, how it recovers. Stress testingĪnother type of performance testing is stress testing - when we gradually increase the load until it reaches the level we know the app will not handle. A modified version of load testing is endurance or volume testing that basically means reaching the predefined limit and then observing how long our app can withstand the provided conditions. We call that load testing and it allows us to monitor the response time and, effectively, the time that customers will have to wait to use our software. We want to check how the system handles reaching that limit. Let’s imagine we have a certain limit - for example of customers being able to load our landing page. Each model has its own goal and has to be adjusted so that the end product is always valuable and informative. While there are multiple approaches in performance testing, we can divide all of them into a couple of models. On numerous occasions, I have found Postman to be the remedy to such a problem.
And while I consider all of the aforementioned very good shouts, there is sometimes a need to run performance tests immediately, without researching solutions, coding and training testers to use cumbersome tools. When I discuss performance testing, the usual suggestions I hear are Jmeter, LoadNinja, Gatling etc. Evaluating responsiveness, defining possible bottlenecks and checking how the software handles the expected (and more importantly, the unexpected) errors are integral parts of quality assurance. Performance testing is a great way to find out how stable, fast and reliable our application or site is.
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