![]() And understanding those limits helps you to reduce the risk of failure. Load testing helps you to get a better understanding of the expected load your application can handle. You don’t want to see an ever-increasing memory usage, as that might indicate you have a memory leak. The idea of load testing is to create an application that behaves stably under an expected load. To summarize, load testing is generally concerned with collecting all this data and analyzing it to detect anomalies. An event loop that’s continuously blocked is often a bad sign. In addition, for Node.js specifically, it can give you insights into the Node.js event loop and how long it’s blocked. An application monitoring tool gives you insights into memory usage and CPU time. Here, application monitoring tools such as Stackify’s Retrace tool come in handy. Moreover, the goal is to gather statistics about important metrics, such as response time, reliability, and stability. These kinds of issues might only pop up after hitting the application for a while and are rarely visible from the beginning. Once the expected load has been reached, most testing engineers prefer to continue hitting the application for a couple more minutes to detect possible memory or CPU issues. Next, you’ll want to increase the number of requests up to the expected load for the application. Often, load testing includes a scenario where 100 extra requests hit the application every 30 seconds. Once you know this, you can start load testing the application. Therefore, you should first know what load you expect for your application. Load testing specifically tries to identify how the application behaves under expected loads. Next, let’s get into the details of load testing. Measuring performance helps you to further improve performance because it helps you tailor configurations for components to make them more streamlined.Find performance bottlenecks early on in the development life cycle.Assess how your application behaves under a normal load, as this is key information for the client.Performance testing helps you with the following aspects: Delivering an application that hasn’t been performance tested is the same as delivering a bike with brakes that haven’t been tested. It’s always a good idea to measure the performance of an application. In short, the goal of performance testing is to gather insights into the application’s performance and communicate these performance metrics to the stakeholders. Performance testing should help you rule out such problems. To give an example, an application might work fine on a Linux server but have performance issues on a Windows server. In addition, this type of testing also verifies the performance in different environments to make sure the application works well for different setups and operating systems. Therefore, it’s crucial to conduct performance testing to detect such issues. Why is this important? A single performance bottleneck can have a huge impact on the overall application’s performance. The goal of performance testing is not to find bugs but to find performance bottlenecks. This is a functional requirement that performance testing helps to validate. For example, the client expects the application to be able to handle up to 50,000 requests per minute. Imagine a client who asks to develop a service that handles ticket sales for events. Performance testing is often linked to a customer’s functional requirements. Scalability: Determine how the application behaves under different types of loads.Response time: Measure the average response time for requests. ![]() Stability: You can measure this through memory and CPU usage.Reliability: Determine the error rate and how it changes under higher loads.Therefore we can say that performance testing is concerned with the following metrics: Performance testing refers to all testing related to verifying the system’s performance and monitoring how it behaves under stress. Performance testing is an umbrella term for both load and stress testing.
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