When talking about performance testing, we will immediately see load testing, stress testing, capacity testing, and other concepts in our minds. Do you know there are also scalability tests. The scalability test can be seen as an extension of the performance test. The following describes the scalability of the system.
The scalability of the system can be understood from two aspects: hardware and software:
1. Hardware scalability
Is it possible to support more users by adding hardware devices, such as increasing the number of CPUs or memory space.
2. Software scalability
Is it possible to support more users by running more instances or using distributed processing.
Specifically, a scalable system must have a linear increase in response time as the load increases. In this way, you can linearly increase the number of hardware devices, instances, or distributed processing points to process more data. It can better support more users without increasing the response time.
The specific test process of the scalability test is: conduct a load test, record the average response time under different loads, and then check whether the average response time increases linearly. If a linear increase occurs, the system is scalable. Otherwise, the system is poor or not.
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