![]() # A wildcard is used to ensure both package. ![]() In the root of your local repository, create a file app.js and add the following lines: The server gives an HTTP payload saying “Hello World” in your browser. This app is a simple Express.js server which is meant to be deployed in a Docker container. In this repository, let’s create a simple Node.js app. Your local Git instance configured to push changes into remote. ![]() In the tutorial, its name is going to be my-project. It is this repository that we will be using to demonstrate CI workflow. We are going to focus on setting up a simple CI flow in the tutorial using a GitLab instance over HTTPS which we covered in a previous post.Īdditionally, we also assume you have set up a user account in this GitLab instance and have a repository (cloned on your local machine) managed under your username. But we would just focus on Continuous Integration in this tutorial. That is termed as Continuous Delivery and/or Continuous Deployment depending on the level of automation. Of course, taken to its logical extreme you can also then automate the deployment, setup automated A/B testing and wholey remove human intervention from the process. If there’s any error encountered then it gives a warning and a crash report otherwise you get a green signal saying everything works. We do so by setting up a trigger such that whenever newer commits are merged into a branch an agent (GitLab Runner, for example) automatically builds the environment and the code, runs all the unit tests and integration tests against it. Like any such problem, the logical step is to automate the entire rigmarole of testing. The problem that large projects face is this - As new pull requests come, they need to be tested and then integrated to the master branch and this effort can easily take anywhere from a few hours to a few weeks depending on the size of the project, the location of team members, etc. Continuous Integration is the next logical step after have a version control system like Git and a remote version control system like GitLab or GitHub for collaborative endeavours.
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