Web Site Stress Testing Tutorial

Web services are at the core of distributed computing, and interactions between them are often difficult to test. Distributed development, large developer teams, and the growing desire for code are likely to make WEB services development more and more vulnerable to hidden errors. These types of errors are extremely difficult to detect. Stress testing is an effective way to detect this type of code error, but it works only if the pressure system is designed to be more effective. This article will give you an in-depth look at the basic requirements of this pressure system.

Test method

Traditional test methods include some form of simple unit testing, usually performed by developers. Designing these tests requires understanding the internal knowledge of the software, and these tests are almost always targeted at very small, specific parts of the product. These types of tests are ideal for very little interaction with other code components, or even simple Web services with no interaction.

Functional validation (functional verification) is also a testing process in which the product source code is tested by a limited number of designers to confirm the core functionality of the product or service. This test is designed to demonstrate that this core function conforms to a specification. For example, does my online auction display the correct bid for the input? has my insurance broker system found the cheapest offer? If these tests fail, it usually means that a basic problem of the product is detected (this problem is usually directly fixed). This test is also appropriate for a simple Web service that allows you to check whether a service performs its functions correctly.

System test is usually done during the functional verification phase, after verifying the core functionality. It tends to look at the whole system as a whole-figuring out how Web services work as part of a system and how Web services interact with one another. Because system testing is done at the end of the development lifecycle, it is usually not possible to allocate enough time to complete it. The system testing phase is often overlooked because of tight release schedules and the subsequent migration of important stages of development, and some of the most common errors that can be found are not detectable. Even if this error is found, it is too late to determine the cause of the error and try to fix it. Therefore, when looking for code errors, the system test application must be designed to be as efficient as possible. System tests are usually made up of three parts:

Performance (performance): This involves the process of determining the relevant product statistics. For example: How many messages per second? How many users can a service accept at the same time?

Case (scenario): This is the process of creating the exact configuration required to re-create the customer. Therefore, any problems found in the case can be detected before the customer uses the product.

Pressure (or workload balance): It is different from the other two parts because it is designed to overload the software by applying a large workload. If the stress test is performed effectively by maintaining a high intensity of use of the product (but not exceeding the limits determined by the performance statistics), it is often possible to discover many hidden errors that are not found with any of the other techniques mentioned above (these are often the hardest to fix).

From detecting code errors, it can be shown that the most efficient of the three system test components is the stress testing component. But since this process is often confused with other elements or functional tests of the system, the process involved is not being properly addressed or implemented.