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What Is Stress Testing

Person sitting on performance gauge with laptop

Start with identifying the scenarios, and functionalities that would be having heavy traffic and may break the system 🔎 Then identify the performance criteria i.e. identify the maximum and minimum load that the system can experience on a given day.

Use 3–4 different computer systems for testing with different memory settings, processors, etc. Then prepare realistic data that’s similar to the production environment to perform the stress tests. To execute the stress tests, use any tool to create the concurrent requests for identified functionalities.

Try to get the value of the breakpoint, the value below the breakpoint, and the value above the breakpoint. Also try to stress test with a slow network as well. Perform the same tests multiple times and then come to the conclusion for the breakpoint of the system.

Lastly, try to identify the behavior of the system at the breaking point. Whether the system can handle a few of the features like logging in, performing some action, etc., or is it not able to handle any requests at all.

✅ Can prevent business loss, which might happen if the software is not capable enough to handle huge traffic.

✅ Stress testing can help determine that the software would work in normal as well as abnormal conditions.

✅ Helps in identifying memory leaks and loss of resource issues that cannot be found with other functional or non-functional tests.

✅ Helps to identify the system’s behavior after the failure, and makes sure it recovers quickly from the crashes.

✅ Helps to identify system bottlenecks & whether a system can store data before the crash.

❌ Major concerns in stress testing are to simulate the testing environment and keep it close to the production environment as much as possible.

❌ It will need a good amount of scripting knowledge.

❌ Incorrectly performed stress testing can lead to a false performance matrix and waste of time.

🔨 NeoLoad– This is a popular tool available in the market to test web and mobile applications. This tool provides some out-of-the-box features. To name some: low-code or no-code approaches, automated script maintenance, automated CI pipeline. This tool can simulate thousands of users in order to evaluate the application’s performance. It is easy to use, cost-effective, and provides good scalability.

🔨 JMeter– JMeter is an open-source tool. It is a pure Java application for stress and performance testing. This tool can be used to generate stress on servers with multiple requests.

🔨 LoadRunner– LoadRunner is used to test applications, measure system behavior, and performance under load. LoadRunner supports performance testing for the widest range of protocols, 50+ technologies and application environments. Test results shaped by LoadRunner are considered a benchmark.

About the author

Bhavarth Kandoria

I am a Test Architect, highly experienced with Web, Mobile and Desktop applications. So far I have worked in many test automation projects and created the test framework from scratch. Apart from the automation projects, I am keen to explore other aspects like performance, security testing of the software and also love to share the learning with the community.


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