You can define the scripts that you want to run in this file, define the include and cache dependencies, pick commands that you want to run in sequence and those in parallel, and determine if you wish to run the scripts automatically or trigger them manually. gitlab-ci.yml, located in the root path of your repository, must be defined for your build, test, and deployment scripts. To use GitLab CI, all you need is an application’s base code hosted in a Git repository, and a file called. By using custom Docker images, spinning up services as part of testing, building new Docker images, even running on Kubernetes. Docker support: There are several ways to integrate Docker.Test locally: Several executors are available, and experiments can be replicated locally.Autoscaling: To reduce costs and ensure that your builds are processed instantly, spin up and down VM’s automatically.
gitlab-ci.yml file, allowing everyone to contribute changes and ensuring that every branch gets the pipeline it needs. Versioned pipelines: The test scripts and overall process steps are stored in a.Parallel builds: Builds split by GitLab CI/CD are designed for faster execution over multiple machines.Multi-language: Command-line has driven Build Scripts to operate with Java, PHP, Ruby, C, and any other language.Multi-platform: Run builds for Unix, Windows, macOS, and every other Go-supported platform.There is a collection of scripts for every push to the project where the code is tested against the push.įeatures of GitLab CI that help overcoming the testing challenges discussed above This is nothing but Continuous Integration it is automatically and continually designed and reviewed for any change submitted to an application, ensuring that the implemented changes pass all the checks, guidelines, and code enforcement requirements you have set for your software.Īn example of using Continuous Integration as a method of software development is GitLab itself. You can construct a series of scripts to automatically develop and validate your application with any push to the repository, minimizing the risk of mistakes being added to your software. Developers, several times a day, push code updates to the Git repository.
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