Performance measures are by their nature stochastic: a pair of successive tests will not give the same results. With the advent of the load test, e-commerce sites, banking, and other applications should no longer worry during sales or advertising campaigns. The tools are numerous, but you have to make your choice according to particular criteria: type of licenses, security, control of the solution, support of the technologies used and simplicity of use.
The automatic aggregation of the metrics of each of the subsystems becomes necessary, so you do not waste your time collecting these resources. Therefore, you may wonder “What are the 3 types of load testing every company should run?” The answers are performance tests, load testing and stress testing.
Long regarded as the underdeveloped relative in the application universe, the performance test is gradually becoming a real priority for companies, primarily because of its importance in the process of the creation and validation of applications. But if you only have one calculation to do, it’s the load testing. Also, the stress testing should be carried out for several hours at a maximum permissible load (which has been determined by the load testing).
For this, Amdahl’s law tells us that it is better to invest in a small optimization of a greedy global subsystem rather than a massive optimization. We will, therefore, simulate the behavior of “real” users. These tools will then be used to collect data when the servers hosting the application are in charge. Also, view this link for more data.
This incremental process of construction of the approach can be utilized. Also, for architectures that contain more and more specialized links for a single transaction, it is necessary to test each part to ensure the functioning of the whole. Also, you may wonder, “Are web services more efficient than HTTP / exchanges and XML?”
Does testing the load amount test the performance? A different and bounded duration for each test is a good solution. Remember, the purpose of a test is not to collect the metrics during the trial, but rather afterward.
Indeed, while it is known that the performance of the system will be degraded during the injection of a proven critical load, it is essential to understand how the system will behave following this: does it return to a stable state or should it restart? For example, run scenarios with a different number of users, located in different locations or using different browsers. Unlike the functional or regression test, the results of a load test are much more fluctuating and open to interpretation as to their harmfulness to the system. Also, view this link for more data.
Also, it is necessary to ensure the exclusive availability of the environment to guarantee the reliability of the results. This traceability will make it possible to identify the differences between each test and to understand the origin of the effects observed. Are concurrent access to all services adequately managed?
To provide an example, a client may be put on hold while polling a cached page until it is redirected. The implementation of load tests, therefore, allows us, if they are entirely mastered, to meet the majority of the needs exposed.