![]() ![]() It can also be used to perform functional tests on web apps, databases, LDAPs, web services, etc., and reports can be added to the GUI, even record, and playback scenarios. It can be used to simulate a heavy load on a server, network or objects to analyze overall performance under different load types. You can build JMeter definitions that simulate a user logging and then interact with the backend. One of the most used open source tools to load test mobile apps is JMeter. Here are some options recommended by developers doing load testing on mobile apps. You also have to decide on what you are going to measure and how you are going to record those measurements, think beyond Response Time and Throughput, look for memory and CPU impact, memory leaks, and the performance from an app user’s behavior perspective. All these tests will help you to narrow down and quickly identify performance issues or degradation. It could be at different levels, for example, an increase of individual users/sessions accessing the app and/or repetitive use of the same function or service individual performance of features and/or individual performance of backend integrations and API calls. In the case of hosted mobile platforms like Red Hat Mobile Application Platform, we highly recommend you provide advance notice to the Red Hat Cloud Operations team so they can monitor and be ready for potential traffic spikes and computing capacity limitations. Best practice is to involve not only your Developers and Testers but also your Operations team. You can make load testing an ongoing task throughout your development lifecycle. ![]() Can you integrate your load testing with CI/CD tools?. ![]()
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