Spike testing is a method of performance testing that is used to evaluate software applications with large load changes. Spike testing is used to measure the actions of software applications when there is a sudden increase or decrease in user load, as well as to assess the recovery time after a spike in user load. It is used to determine the flaws in software applications.
Aim of Spike Testing
Spike monitoring is used to see how the device reacts to sudden increases and decreases in user load. Spike testing is used in software engineering to assess whether a system’s output will degrade when it is suddenly subjected to a high load.
Another aim of spike testing is to figure out how long it takes to recover. The device needs some time to stabilize between two consecutive spikes in user load. The time it takes to heal should be as short as possible.
Ways to do Spike Testing?
6 steps of spike testing:
- Determine your software application’s maximum user load capability
- Prepare the testing environment and set it up to keep track of performance metrics
- Using a Performance Tool of your choosing, apply the estimated maximum load to your Software Application
- Increase the load on the machine quickly for a fixed period of time
- Reduce the load gradually to its original level
- Examine the graphs of results. Failures, time taken, virtual users, and other metrics should be considered
Scenarios of Spike Testing:
- When an eCommerce store launches a special offer with a big discount, like on Black Friday.
- When a web application streams a favorite TV show live.
- When a regular deal platform has a flash sale going on.
- When a piece of a website’s content goes viral on the internet.
- A new system has been released for development, and many users want to use it.
- All users can lose access to a device if there is a power outage. After the outage has been fixed, all users log back in to the device at the same time.
Advantages of Spike Testing:
- The poor to worst-case situations can not be tackled in the traditional testing process. Ignoring them, however, does not mean they will never happen. As a result, any piece of software should be prepared for such scenarios.
- Loading is one such worst-case scenario that can be assessed and reduced using spike checking. The software’s consistency must be protected at all costs. However, when a system’s load is suddenly increased, there’s a good possibility that problems will arise. Such a situation can be tested with spike testing.
Disadvantages of Spike Testing:
- The bad-to-worst-case situations cannot be discussed in the traditional testing process. However, just because you ignore them doesn’t mean they won’t happen again. As a result, all applications should be prepared to deal with such scenarios. Loading is an example of a worst-case situation that can be assessed and reduced using spike monitoring.
Conclusion:
- Spike testing is a form of software testing. Applications are checked using this approach with unusual load increments and decrements.
- Spike monitoring can be done by unexpectedly raising the number of users and then immediately decreasing the load.
- The deal’s key feature is the unforeseen load.
- When an eCommerce store launches special sales with large discounts, such as on Black Friday, this is an example of a real-life Spike testing scenario. When a web application is live streaming a favorite TV show, for example.
- Jmeter is a valuable method for performing spike monitoring.
For more info: https://www.mammoth-ai.com/automation-testing-services/
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