Systems | Development | Analytics | API | Testing

Performance testing is a form of software testing that focuses on how a system running the system performs under a particular load. This is not about finding software bugs or defects. Different performance testing types measures according to benchmarks and standards. Performance testing gives developers the diagnostic information they need to eliminate bottlenecks.

Time flies by and Q1 of 2021 has already passed. Our team was busy working on improving Loadero to make it easier to use and provide more insightful testing results to our users. We are proud to announce some long-anticipated updates that were done during the last months, make sure to use them for your benefit.

Welcome to the “A beginners guide to test automation with Javascript(Nightwatch.js)” blog series part 2! If you have missed out on the first part, you can read it here. In this article we will look into the following and as always – feel free to skip to any part you are the most interested in: Code used in this article can be found in Loadero’s public GitHub examples repository here.

With our newly released White Labelled Reports for performance tests, you can now print the PDF reports in multiple languages. This applies to our load testing cloud tool and also for load tests using JMeter test scripts.

Setting a correct increment strategy for load generation is crucial when you are load testing a website or service. It’s especially important to make sure your website will not be bombarded by a huge number of participants all at once. Choosing correct increment strategy helps you organize your test run flow. You are making sure that participants start exactly how you expect. That can be especially useful for WebRTC service testing.

In order to learn how to test your APIs, especially how to load test your APIs, let’s first find out some essential info on APIs and RESTful APIs.

Performance Testing coverage needs to be defined from the application under tests functional requirements and this does not change regardless of whether you are following an Agile or a more Planned approach.

Standard Deviation is an important metric in performance testing analysis and informs us how stable the application under test is. In other words, it tells us if the requests that occur during the test are consistent or not. Standard Deviation measures how the response times are spread out around the average response time (mean). A small standard deviation means that the response time of all the requests are close to each other.