The performance test is a test measure that evaluates speed
Performance testing is a test measure that evaluates the speed, responsiveness and stability of a computer, network, software program or device under a workload. Organizations perform these tests to identify performance-related bottlenecks.
Performance testing is the practice of evaluating the performance of a system in terms of responsiveness and stability under a particular workload. Performance tests are generally performed to examine the speed, robustness, reliability, and size of the application, software, or websites. The process incorporates “performance” indicators such as:
The performance test brings together all the tests that verify the speed, robustness, reliability and correct size of an application. It examines several indicators, such as the browser, page and network response times, server query processing time, the number of acceptable simultaneous users designed, CPU memory consumption, and the number/type of errors that can be encountered when using an application.
Las Performance Tests that you run will help ensure that your software, apps or web meets expected service levels and provides a positive user experience. They will highlight the improvements you must make to your applications in relation to speed, stability, and scalability before they go into production. Applications released to the public in the absence of tests can suffer from different types of problems that lead to a damaged brand reputation, in some cases, irrevocably.
The adoption, success and productivity of applications, software or websites directly depend on the proper implementation of performance tests.
In Atentus we have monitored and carried out various performance tests on industries such as retail, ecommerce, universities and financial institutions and we have found several errors in the performance of their website, apps or software. Mistakes that can cost thousands or millions in business opportunities Do you want to perform a performance test? Request a demo here gratis.
Whether for web or mobile applications, the life cycle of an application includes two phases: development and implementation. In each case, operating teams expose the application to end users of the product architecture during testing.
Development performance testing focuses on components (web services, microservices, APIs). The sooner the components of an application are tested, the sooner an anomaly can be detected and, in general, the lower the cost of rectification.
As the application begins to take shape, performance tests should become increasingly extensive. In some cases, they can be carried out during implementation (for example, when it is difficult or expensive to replicate a production environment in the development lab).
There are many different types of performance tests. The most important ones include load, unit, stress, soaking, and peak tests.
Load tests simulate the number of virtual users that could use an application. By reproducing realistic conditions of use and load, based on response times, this test can help identify potential bottlenecks. It also allows you to understand if you need to adjust the size of an application's architecture.
Stress tests evaluate the behavior of systems in the face of peak activity. These tests significantly and continuously increase the number of users during the trial period.
Soak tests increase the number of concurrent users and monitor system behavior over a longer period of time. The objective is to observe if intense and sustained activity over time presents a potential drop in performance levels, placing excessive demands on system resources.
Unit tests simulate the transactional activity of a functional test campaign; the objective is to isolate transactions that could interrupt the system.
Peak tests seek to understand the implications for the functioning of systems when activity levels are above average. Unlike stress tests, peak tests take into account the number of users and the complexity of the actions performed (hence the increase in several business processes generated).
Performance tests can be used to analyze several success factors, such as response times and potential errors. With these performance results in hand, you can confidently identify bottlenecks, errors, and errors, and decide how to optimize your application to eliminate problems. The most common issues highlighted in performance tests are related to speed, response times, load times, and scalability.
Excessive load time is the allotment needed to start an application. Any delay should be as short as possible, a few seconds at most, to provide the best possible user experience.
Tests d Poor response time is what happens between a user entering information into an application and responding to that action. Long response times significantly reduces user interest in the application.
Bottlenecks are obstructions in the system that reduce the overall performance of an application. They are usually caused by hardware problems or poor code.
Limited scalability represents a problem with the adaptability of an application to adapt to different numbers of users. For example, the application works well with a few concurrent users, but it deteriorates as the number of users increases.
While the testing methodology may vary, there's still a generic framework you can use to address the specific purpose of your performance tests, which is to ensure that everything works properly under a variety of circumstances, as well as identifying weaknesses.
Before starting the testing process, it's critical to understand the details of the hardware, software, and network configurations you'll be using. Comprehensive knowledge of this environment makes it easier to identify problems that evaluators may encounter.
Before carrying out the tests, you must clearly define the success criteria of the application, since they will not always be the same for each project. When you are unable to determine your success criteria, it is recommended that you look for an application similar to the comparative one.
For reliable testing, you need to determine how different types of users can use your application. Identifying key scenarios and data points is essential to perform tests as close as possible to real conditions:
After running your tests, you should analyze and consolidate the results. Once the necessary changes have been made to resolve the problems, the tests must be repeated to ensure that any others are eliminated.
The critical metrics to look for in your tests should be clearly defined before you start testing. These parameters generally include:
The Performance, Load and Stress Testing Methodology of Atentus It is innovative and unique in the market, it detects the reason for each error for a quick resolution from the root. Atentus robots perform simultaneous and massive web browsing to generate loads that stress it, testing the performance of all components of the digital channel in order to know the real behavior of the platform and maximum capacity. It simulates a demand from real users with multiple bots of Atentus browsing in a concurrent way that allows us to know your digital platform and identify errors that impact the experience of your users.
Do you want to perform a performance test? Request a demo here for free.
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