- Introduction to CI/CD methodologies
- Introduction to GitLab CI/CD
This document presents an overview of the concepts of Continuous Integration, Continuous Delivery, and Continuous Deployment, as well as an introduction to GitLab CI/CD.
For some additional information about GitLab CI/CD:
The continuous methodologies of software development are based on automating the execution of scripts to minimize the chance of introducing errors while developing applications. They require less human intervention or even no intervention at all, from the development of new code until its deployment.
It involves continuously building, testing, and deploying code changes at every small iteration, reducing the chance of developing new code based on bugged or failed previous versions.
There are three main approaches to this methodology, each of them to be applied according to what best suits your strategy.
Consider an application that has its code stored in a Git repository in GitLab. Developers push code changes every day, multiple times a day. For every push to the repository, you can create a set of scripts to build and test your application automatically, decreasing the chance of introducing errors to your app.
This practice is known as Continuous Integration; for every change submitted to an application - even to development branches - it’s built and tested automatically and continuously, ensuring the introduced changes pass all tests, guidelines, and code compliance standards you established for your app.
GitLab itself is an example of using Continuous Integration as a software development method. For every push to the project, there’s a set of scripts the code is checked against.
Continuous Delivery is a step beyond Continuous Integration. Your application is not only built and tested at every code change pushed to the codebase, but, as an additional step, it’s also deployed continuously, though the deployments are triggered manually.
This method ensures the code is checked automatically but requires human intervention to manually and strategically trigger the deployment of the changes.
Continuous Deployment is also a further step beyond Continuous Integration, similar to Continuous Delivery. The difference is that instead of deploying your application manually, you set it to be deployed automatically. It does not require human intervention at all to have your application deployed.
GitLab CI/CD is a powerful tool built into GitLab that allows you to apply all the continuous methods (Continuous Integration, Delivery, and Deployment) to your software with no third-party application or integration needed.
For an overview, see Introduction to GitLab CI from a recent GitLab meetup.
Consider the following example for how GitLab CI/CD fits in a common development workflow.
Assume that you have discussed a code implementation in an issue and worked locally on your proposed changes. After you push your commits to a feature branch in a remote repository in GitLab, the CI/CD pipeline set for your project is triggered. By doing so, GitLab CI/CD:
- Runs automated scripts (sequentially or in parallel) to:
- Build and test your app.
- Preview the changes per merge request with Review Apps, as you
would see in your
After you’re happy with your implementation:
- Get your code reviewed and approved.
- Merge the feature branch into the default branch.
- GitLab CI/CD deploys your changes automatically to a production environment.
- And finally, you and your team can easily roll it back if something goes wrong.
GitLab CI/CD is capable of doing a lot more, but this workflow exemplifies GitLab’s ability to track the entire process, without the need for an external tool to deliver your software. And, most usefully, you can visualize all the steps through the GitLab UI.
If we take a deeper look into the basic workflow, we can see the features available in GitLab at each stage of the DevOps lifecycle, as shown in the illustration below.
If you look at the image from the left to the right, you can see some of the features available in GitLab according to each stage (Verify, Package, Release).
- Automatically build and test your application with Continuous Integration.
- Analyze your source code quality with GitLab Code Quality.
- Determine the browser performance impact of code changes with Browser Performance Testing.
- Determine the server performance impact of code changes with Load Performance Testing.
- Perform a series of tests, such as Container Scanning , Dependency Scanning , and Unit tests.
- Deploy your changes with Review Apps to preview the app changes on every branch.
- Continuous Deployment, automatically deploying your app to production.
- Continuous Delivery, manually click to deploy your app to production.
- Deploy static websites with GitLab Pages.
- Ship features to only a portion of your pods and let a percentage of your user base to visit the temporarily deployed feature with Canary Deployments.
- Deploy your features behind Feature Flags.
- Add release notes to any Git tag with GitLab Releases.
- View of the current health and status of each CI environment running on Kubernetes with Deploy Boards.
- Deploy your application to a production environment in a Kubernetes cluster with Auto Deploy.
With GitLab CI/CD you can also:
- Easily set up your app’s entire lifecycle with Auto DevOps.
- Deploy your app to different environments.
- Install your own GitLab Runner.
- Schedule pipelines.
- Check for app vulnerabilities with Security Test reports.
To see all CI/CD features, navigate back to the CI/CD index.
Watch the video GitLab CI Live Demo with a deeper overview of GitLab CI/CD.