Continuous integration and continuous deployment, or CI/CD, is used to automate the different parts of writing codes, such as changing a code, debugging, or activating codes. Developers use it to ensure that written code works well together without any bugs. This article will discuss how CI/CD can be used to automate testing.
Automate unit testing
Codes are stacked together like various building blocks. Each does its own special task. Therefore, each block must be checked to see that it fits. Continuous integration and deployment make it possible to check if a new code fits. These tests are integrated into the CI/CD pipeline’s build process. This enables developers to quickly find problems and fix them without changing their codes or rewriting them.
Run integration testing
Through CI/CD, developers continually integrate their code changes. In that way, they can find out if the different parts of the system complement and interact with each other. By automating these integration tests, they are confirming that the codes do not interfere with each other in their overall structure. For more information on this, you can choose to learn with DevOps course.
Include system testing
These tests simulate real-world user scenarios and interactions with the software. By automating end-to-end tests, developers can validate the overall functionality and user experience of the application. This ensures that the software is working as expected.
Parallelize testing
Within CI/CD, you can make use of parallel testing capabilities to run tests at the same time. It is like having a super-efficient, brilliant assistant that not only helps glue the code together but also checks every step. So in this way, it can reduce human error and make sure the system works.
Generate output
As developers can work faster with test automation, they deliver work to their clients quickly. Not only that, the output they send is of high quality with little to no errors. Thereby ensuring customer satisfaction.
Summary
CI/CD with automated testing guarantees that every line of code in your system structure fits together perfectly. Hence, you get a sound, error-free end product. By automating testing, developers can find errors quicker, get time to fix them, and work faster and smarter.
