The spike testing is performed to check how essentially the system responds with unpredicted increases and failure of users.
The objective of the Spike Testing
The significant objective of spike testing are as follows:
- The primary purpose of executing the spike testing is to govern whether the system will crash or remain in case of important alteration in load.
- To notice the performance or the behavior of an application under sudden altered load.
- To analysis the recovery time between two points or spikes as it impacts the performance.
- Spike testing is used to analyze the weakness of applications.
Spike testing Process
Spike testing is vital and is mostly done to test how a system reacts when there is an unpredicted change in user load.
The spike testing procedure involves continuous monitoring. It evaluates the application’s vulnerability and checks its affected performance when there are a rapid enhancement and reduction of its load.
Throughout the process of software development, the spike testing is implemented in a precise environment. Therefore, the spike testing process aims to extend an application’s maximum capacity to make sure the ideal user involvement.
The spike testing process completed in the below steps, which are as follows:
- Setup the Test Environment
- Detect the Maximum Load
- Apply maximum load to the peak point
- Evaluate the peak point performance
- Apply minimum load/ Reduce the load to zero
- Evaluate the performance in minimum load
- Evaluation of Performance graph
Spike Testing Tools
We have multiple spike tools available in the market, where some of them are open- sources and some of them are licensed tools. And each tool has its functionality, and approaches.
Some of the most commonly used spike tools are as follows:
- Apache JMeter
- LoadRunner