Find out the cost and timing of stress testing of a website or application
Order load testing of the application
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Planning a stress test
We determine the limits of the stability of the system and record critical indicators (response time, number of errors, resource usage). We create stress scenarios: a sharp increase in the number of users, massive transactions, simulated overload of the API or database. We are preparing the infrastructure and choosing tools for modeling extreme conditions.
Preparing scripts
We are developing automated scripts that simulate not only standard user actions (authorization, order processing), but also atypical overload scenarios. We are setting up a test environment, preparing data and configurations for the correct reproduction of critical loads.
Running the test
We are running tests with a sharp increase in the number of requests and users, going beyond the scope of normal operation. We record system stability, response time, error rate, and resource usage. All results are logged for further analysis.
Analysis and identification of problems
We study the collected metrics, identify "bottlenecks" and points of failure: API failures, service crashes, database overload, or interface degradation. We compare the results obtained with the target thresholds and create a list of critical risks.
Optimization and repeated checks
We are preparing a report with recommendations for improvement, for example, code optimization, architecture revision, or infrastructure configuration. After the changes are implemented, we conduct repeated stress testing to ensure that the system can withstand extreme conditions.
Stress testing is a method of verifying the operation of a website, application, or individual module under extreme load conditions beyond normal operation. Its purpose is to determine at what level of load the system stops coping with requests and where its critical limits are.
During the test, scenarios are created that simulate a sharp increase in the number of users or a large flow of requests exceeding the usual indicators. The system is overloaded, crashes, slowdowns, and service failures are recorded, and then it is analyzed to see how well it recovers after a crash.
Stress testing is used when it is necessary to understand whether a product can withstand unexpected bursts of activity, identify "points of failure", check readiness for DDoS attacks, or test infrastructure resilience in case of force majeure. This approach helps companies to detect vulnerabilities in advance and minimize the risks of complete downtime.
For example, a video streaming service launches a live broadcast of a global sporting event. Millions of viewers are expected to connect in a matter of minutes. QA engineers create a stress scenario in which the load on the servers increases dramatically several times higher than planned. During the test, delays in playback, failures in streams, and an increase in errors on the database side are recorded. The results show at what load the system fails and which components require optimization. After completion, the team makes sure that the service can withstand the peak interest of the audience.
Stress testing shows how a website, application, or individual module behaves under conditions of extreme load significantly exceeding normal. For example, you can check what happens if 50,000 users open an online store at the same time, and the flow of orders exceeds the norm several times.
Modeling force majeure situations: a sharp increase in the number of visitors, massive transactions, API or database overload. Scenarios are based on where potential "points of failure" are located and which processes are critical for the business. For example: "What happens if the number of requests to the server increases 10 times in 1 minute?".
It is recommended to launch in case of major architectural changes, transition to a new infrastructure, preparation for large-scale events, or if a rapid audience growth is planned. For products with high development dynamics, stress testing can be performed several times a year.
Load testing checks the stability of the system under planned or peak loads and answers the question: "Will the product cope with the expected number of users?". Stress testing goes further and finds out: "What happens if the load dramatically exceeds expectations and the system reaches its limit?". For example, load testing will show that the site can withstand 10,000 users, and stress testing will determine at what number it will start to fail.
