To develop the best products, your development team needs to do sustainable performance testing because it is, they can quickly identify the main functional bugs and handling bugs and performance that is difficult to detect. If you are ready to apply continuous performance testing, knowing these 11 best practices will help:
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Focus on SLAS performance: Introducing the code in the application for testing purposes should not make it mess or fall from SLA. What this means is you have to use your performance SLA as testing acceptance for each iteration. Thus, the changes made in the iterations that affect only a small portion of the overall code will be acceptable because the problem of performance in such cases will be limited to the part of the application. However, for general SLA covering the entire application, a broader list of obstacles must be added to be examined for each iteration to verify if it meets the nominal definition "finished" without damaging one of the obstacles.
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Taking the approach driven by the test: To provide the entire initial project, product features and test scripts must be made simultaneously. This will ensure that there is no need for testers to recreate or revise the test script if some changes are carried out in the software.
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Developers and examiners must work carefully: testers must work with developers to understand how the software or applications that are encoded at this time will be tested in the end. While developers must think like testers when working on their projects, testers must remain updated about development tasks by attending meetings such as Scrum. This close collaboration will ensure a smooth and sustainable testing process.
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Develop story-based test stories / scenarios: Unlike traditional development models, modern development processes are often not available specifications for users. In such cases, story-based tests or scenarios must be made rather than designing tests based on a series of rigid cases. By using the test, testers can include various tests that are basically not documented.
Using dynamic tests for dynamic environments: in the past, some computing scenarios can be tested using solitary test scripts. However, in the current fast changing environment, the test also needs to be dynamic. And that is why infrastructure as a code approach becomes popular, where all virtual hardware, computing assets, and applications are represented as software. Based on requirements at the time you need to be fulfilled, they can be programmed accordingly. Thus, IT staff company develops scripts, which in turn create and configure the virtual environment needed to run the test.
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Increased use of test automation: In most cases, automation is still limited at the initial stages of testing units. However, they need to be applied through the deployment process, especially during the next stage. To realize this, the best way is to make test scripts that can be tested into different software services / components, which can then be used, such as and when needs arise in different situations, with relative agnostic styles.
Increased use of application performance monitoring tools: APM tool is used as an important component of several current testing processes. These tools need to be used to continue monitoring the correct performance.
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Use the Build server to start a repeat test: with each Build, performance tests must highlight between repetitive tests. You can achieve this by starting the test through the Build server, and includes test results produced in the build tool. In this way, the person who starts build will be able to see the results, and know the changes made in the build. This means fixing performance problems (if any) that appears.
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