GitLab, the enterprise level Git-repository manager, is the newest addition to our CI/CD integration pipeline. The web-based tool is known for its issue-tracking and CI/CD elements all under an open-source license. Now with GitLab under our belt, users will have more CI/CD platforms to choose from which will make it easier for you, as a user, to run tests automatically and stick to the Agile pace.
Continuous Integration at its Finest
Continuous integration enables developing teams to implement slight changes to their code and check the progress of those strings of code implemented. Any CI platform is used as a way for developers to share and implement their code that was scattered on multiple platforms into one tool, like GitLab. CI/CD is most beneficial when used to automate the pipeline process – build, package, and test. Automating your test coverage makes it easier to commit code changes and release test scenarios more frequently.
CI/CD Meets Machine Learning
With the move to continuous integration, dev and testing teams are expected to test and release an abundance amount of code. It is important to use a tool or platform that enables these teams to meet the new and competitive requirements expected from them. A tool with ML or any other AI features can accelerate the CI/CD life cycle and cut maintenance time. Just imagine, you are just about to release and suddenly you see a change in the code for the Login credentials. This creates a break in the test that is hard to come back from right before production. If you had an ML feature already in place, it would be able to locate the break and fix on run time before production – voilà you’re set for production.
GitLab Integration Combined with Test Automation
Not only does CI enables QA testers to implement continuous testing in their organizations, but when mixed with automated testing frameworks, testers can provide a lot more as they shift left. The shift left approach, as you might know, grants the testing team the capacity to perform their tests earlier in the life cycle. A common phrase used here, “test early and often” is successfully applied using an automated testing solution. An automated testing framework helps QA engineers/testers to define, execute, and automate a myriad of tests – they include functionality and regression tests. This, in turn, will help dev teams know if or when a software build will pass or fail before production.
We are constantly adapting to more platforms to make it easier for our users to run tests automatically in a persistent manner. With our new integration with GitLab, you are able to create code with a specific job, then run it automatically with your own defined times on the GitLab platform. Our tool gives you a step-by-step guide to help release your code into GitLab, as well.