Performance testing is a type of testing performed to evaluate the different performance attributes of the application like – responsiveness, stability, reliability, etc. For determining these attributes, we have different types of performance testing techniques.
Load testing is a type of testing which involves evaluating the performance of the system under the expected workload. A typical load test includes determining the response time, throughput, error rate, etc during the course of the load test.
Example – For a newly developed application with an anticipated load of around 1000 concurrent users. We will create a load test script and configure it with 1000 virtual users and run it for say 1-hour duration. After the load test completion, we can analyze the test result to determine how the application will behave at the expected peak load.[Read more]
Stress testing is a type of performance testing where we evaluate the application’s performance at a load much higher than the expected load. Another aspect of the stress testing is to determine the break-point of the application, the point at which the application fails to respond in the correct manner.
Example – For an application with an anticipated load of 1000 users we will run the test with 1200 users and check if the application is robust enough to not crash. [Read More]
Endurance testing is also known as ‘Soak Testing’. It is done to determine if the system can sustain the continuous expected load for a long duration. Issues like memory leakage are found with endurance testing.
Example – For an application like Income tax filing, the application is used continuously for a very long duration by different users. In this type of application, memory management is very critical. For an application like these, we can run the test for 24 hours to 2 days duration and monitor the memory utilization during the whole test execution. [Read More]
In spike testing, we analyze the behavior of the system on suddenly increasing the number of users. It also involves checking if the application is able to recover after the sudden burst of users.
Example – For an e-commerce application running an advertisement campaign, the number of users can increase suddenly in a very short duration. Spike testing is done to analyze these types of scenarios.
The volume testing is performed by feeding the application with a high volume of data. The application can be tested with a large amount of data inserted in the database or by providing a large file to the application for processing. Using volume testing, we can identify the bottleneck in the application with a high volume of data.
Example – For a newly developed e-commerce application, we can perform volume testing by inserting millions of rows in the database and then carry out the performance test execution.[Read More]
Kuldeep is the founder and lead author of ArtOfTesting. He is skilled in test automation, performance testing, big data, and CI-CD. He brings his decade of experience to his current role where he is dedicated to educating the QA professionals. You can connect with him on LinkedIn.