Software development teams are often under pressure to build and release at a faster pace. However, accelerated delivery can hamper overall quality. It is a shortsighted approach that can harm the business substantially in the long run.
QAOps is one of the solutions to increase both speed and quality. It is a new-age practice that helps in integrating quality assurance (QA) into the software delivery pipeline. Let us find out everything about QAOps.
How a QAOps Framework Works?
QAOps leverages the principles of DevOps to enable software development and IT operations teams to collaborate and work closely with QA teams. This framework helps in improving the software delivery workflow and processes without making any sacrifices on the quality of the platform or an application. It fuses QA practices with IT operations and software development to develop a long-term, integrated delivery model.
In contrast to QA and testing being the final checkpoint before release, QAOps helps in embedding QA from start to end of the software development lifecycle (SDLC). While working in QAOps, QA teams get more responsibility. It empowers them to advise and analyze future development cycles, identify bugs sooner, and assist in accelerating the delivery.
What is QAOps?
QAOps framework is based on the following principles:
- Enhanced collaboration between developers and QA engineers
- Integrated continuous testing in DevOps with a CI/CD pipeline
- Integrates, defines, and streamlines QA processes into DevOps while pulling QA team out of silos
Where Can you Use QAOps Framework?
QAOps is meant to improve collaboration between engineering practices in the SDLC. It helps in rectifying the communication gaps between QA and development teams that occurred in a traditional software development model.
That’s how the big picture of QAOps looks like. Let us find out how QAOps can improve specific testing processes.
1. Automated Testing
Automation testing helps in automating mundane tasks of testing and enables test engineers to measure test results at a faster pace. QA engineers also leverage the test data to advise on subsequent development stages. In a nutshell, it helps in accelerating the quality feedback loop.
Hence, automation testing is essential for a robust QAOps environment. However, before creating the automation framework, QA specialists need to study all the details of the product to gain a thorough understanding of specifications, goals, and functionality.
After a thorough analysis of the product, QA teams can proceed to decide on the types of automation tests based on the product stage. Automated tests should be designed to the goals of the product while saving time and generating relevant test data.
2. Parallel Testing
Parallel testing includes running multiple test cases on a single application and its subcomponents across browsers and operating systems simultaneously. These automated tests reduce the total testing time significantly. Hence, it is an ideal fit for CI/CD and QAOps.
It works well within QAOps as it helps in accelerating the testing process within the delivery pipeline. However, parallel tests demand larger hardware and infrastructure as they generate and process heaps of data. Hence, it is better to leverage a robust testing cloud that is capable of managing an abrupt increase in data processing load due to multiple simultaneous tests.
If the server capacity allows, teams can also launch CI/CD pipelines with smoke and automated tests parallelly. It helps in quickly identifying flaky tests – tests that show both failing and passing results with the same code. Early detection of flaky tests in the SDLC enables teams to identify and eliminate unstable tests.
3. Scalability Testing
While scaling up a product, it is essential to plan how tests will scale up along with the product. Scalability testing is non-functional and helps in measuring the performance of a system based on the number of users.
Scalability testing helps in defining the performance of the application or system in different conditions by changing the testing loads. Its test results reflect how the app or system will respond at the desired scale. The data is essential in a CI/CD model because the tests should synchronize to scale down or up with the pipeline.
It is easier to leverage automated tests in such conditions. It enables engineers to save models, steps, page objects, methods, and features. On top of that, they can be reused in future tests. As the components are already built, process automation enables new test development making it easier and less complex to build.
QA teams must ensure to have an appropriately scalable infrastructure to run tests.
4. Smoke Testing
Smoke testing is also known as confidence or build verification testing. It helps in identifying the stability of a deployed build. In case the bugs are not fixed or features don’t work, testing is paused to stop developers from installing a broken test build. It helps in saving precious time.
Integrating Development and Operations with QA
Above mentioned testing methods can be leveraged within QAOps. One of the most crucial steps that you need to take for a successful QAOps framework is to implement end-to-end QA activities throughout the CI/CD pipeline.
Developers should start by writing test cases. Product designers and IT operations engineers should work closely with the QA team to identify UI/UI issues at an initial stage. It will help all the stakeholders to work efficiently. Initial collaboration among teams can help in making the process of software development and testing more efficient.
QAOps helps in automating processes including software development, IT, and QA for faster and more reliable delivery. QAOps ensures that the quality is no more neglected in the SDLC. It offers the next progression that delivers quality at speed.
QA InfoTech offers end-to-end software development and QA solutions. Get in touch with our experts to explore possibilities.