[{"data":1,"prerenderedAt":793},["ShallowReactive",2],{"/en-us/blog/connecting-gitlab-and-pantheon-streamline-wordpress-drupal-workflows":3,"navigation-en-us":40,"banner-en-us":438,"footer-en-us":448,"blog-post-authors-en-us-Andrew Taylor":688,"blog-related-posts-en-us-connecting-gitlab-and-pantheon-streamline-wordpress-drupal-workflows":702,"assessment-promotions-en-us":744,"next-steps-en-us":783},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":27,"isFeatured":12,"meta":28,"navigation":29,"path":30,"publishedDate":20,"seo":31,"stem":36,"tagSlugs":37,"__hash__":39},"blogPosts/en-us/blog/connecting-gitlab-and-pantheon-streamline-wordpress-drupal-workflows.yml","Connecting Gitlab And Pantheon Streamline Wordpress Drupal Workflows",[7],"andrew-taylor",null,"engineering",{"slug":11,"featured":12,"template":13},"connecting-gitlab-and-pantheon-streamline-wordpress-drupal-workflows",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"How to connect GitLab and Pantheon to streamline Drupal and WordPress workflows","Our guest author, a Developer Programs Engineer at Pantheon, shares how to automate WordPress deployments using GitLab CI/CD.",[18],"Andrew Taylor","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749680516/Blog/Hero%20Images/gitlab-pantheon.png","2019-03-26","As a member of the developer relations team at [Pantheon](https://pantheon.io), I’m always looking for new ways to help WordPress and Drupal developers solve workflow problems with automation. To this end, I love exploring new tools and how they can be used effectively together.\n\n### One frequent problem I see teams facing is the dreaded single staging server.\n\nIt’s not fun to wait in line for your turn to use the staging server or to send clients a URL and tell them to review some work but ignore other, incomplete pieces.\n\n[Multidev environments](https://pantheon.io/docs/multidev/), one of Pantheon’s advanced developer tools, solves this issue by allowing environments matching Git branches to be created on demand. Each multidev environment has its own URL and database, making independent work, QA, and approval possible without developers stepping on each other's toes.\n\nHowever, Pantheon doesn’t provide source control management (SCM) or continuous integration and continuous deployment (CI/CD) tooling. Instead, the platform is flexible enough to be integrated with your preferred tools.\n\n### The next problem I see consistently is teams using different tools to manage development work and to build and deploy that work.\n\nFor example, using one tool for SCM and something else for CI/CD. Having to jump between tools to edit code and diagnose failing jobs is cumbersome.\n\n[GitLab](/) solves this problem by providing a full suite of development workflow tools, such as SCM, with features like issues and merge requests, best-in-class CI/CD, and a container registry, to name a few. I haven't come across another application that is so complete to manage development workflow.\n\nAs someone who loves automation, I explored connecting Pantheon to GitLab so that commits to the master branch on GitLab deploy to the main dev environment on Pantheon. Additionally, merge requests on GitLab can create and deploy code to Pantheon multidev environments.\n\nThis tutorial will walk you through setting up the connection between GitLab and Pantheon so you, too, can streamline your WordPress and Drupal workflow.\n\nThis can be done with [GitLab repository mirroring](https://docs.gitlab.com/ee/user/project/repository/repository_mirroring.html), but we will be setting it up manually to get some experience with [GitLab CI](https://docs.gitlab.com/ee/ci/) and have the ability to expand beyond just deployment in the future.\n\n## Background\n\nFor this post, you need to know that Pantheon breaks each site down into three components: code, database, and files.\n\nThe code portion of a Pantheon site includes the CMS files, such as WordPress core, plugins and themes. These files are managed in a [Git repository](https://git-scm.com/book/en/v2/Git-Basics-Getting-a-Git-Repository) hosted by Pantheon, which means we can deploy code from GitLab to Pantheon with Git.\n\nWhen Pantheon refers to files, it is the media files, such as images, for your site. These are typically uploaded by site users and are ignored in Git.\n\nYou can [create a free account](https://pantheon.io/register), learn more about the [Pantheon workflow](https://pantheon.io/docs/pantheon-workflow), or [sign up for a live demo](https://pantheon.io/live-demo) on pantheon.io.\n\n## Assumptions\n\nMy project is named `pantheon-gitlab-blog-demo`, both on Pantheon and GitLab. You should use a unique project name. This tutorial uses a WordPress site. Drupal can be substituted, but some modification will be needed.\n\nI'll also be using the [Git command line](https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line) but you can substitute a [graphical interface](https://git-scm.com/book/en/v2/Appendix-A%3A-Git-in-Other-Environments-Graphical-Interfaces) if you prefer.\n\n## Create the projects\n\nFirst up, create a [new GitLab project](https://docs.gitlab.com/ee/user/project/working_with_projects.html#create-a-project) – we'll come back to this in a little bit.\n\nNow, [create a new WordPress site on Pantheon](https://pantheon.io/docs/launch-wordpress/). After your new site is created, you will need to install WordPress for the site dashboard.\n\n_You might be tempted to make some changes, such as adding or removing plugins, but please refrain. We haven't connected the site to GitLab yet and want to make sure all code changes, e.g. adding or removing plugins, go through GitLab._\n\nAfter WordPress is installed, go back to the Pantheon site dashboard and change the development mode to Git.\n\n![Pantheon Dashboard](https://about.gitlab.com/images/blogimages/pantheon-dashboard-after-fresh-wordpress-install.png){: .shadow.medium.center}\n\n## Initial commit to GitLab\n\nNext, we need to get the starting WordPress code from the Pantheon site over to GitLab. In order to do this, we will clone the code from the Pantheon site Git repository locally, then push it to the GitLab repository.\n\nTo make this easier, and more secure, [add an SSH key to Pantheon](https://pantheon.io/docs/ssh-keys/) to avoid entering your password when cloning Pantheon Git repository. While you're at it, [add an SSH key to GitLab](https://docs.gitlab.com/ee/ssh/) as well.\n\nTo do this, clone the Pantheon site locally by copying the command in the Clone with Git drop-down field from the site dashboard.\n\n![CPantheon git connection](https://about.gitlab.com/images/blogimages/pantheon-git-connection-info.png){: .shadow.center}\n\n_If you need help, see the [Pantheon Start With Git](https://pantheon.io/docs/git/#clone-your-site-codebase) documentation._\n\nNext, we want to change the `git remote origin` to point to GitLab, instead of Pantheon. This can be done with the [`git remote` command](https://git-scm.com/docs/git-remote).\n\nHead over to your GitLab project and grab the repository URL, which can be found at in the Clone drop-down of the project details screen. Be sure to use the Clone with SSH variant of the GitLab repository URL, since we set up an SSH key earlier.\n\n![Gitlab git connection](https://about.gitlab.com/images/blogimages/gitlab-git-connection-info.png){: .shadow.medium.center}\n\nThe default `git remote` for the local copy of our code repository is `origin`. We can change it with `git remote set-url origin [GitLab repository URL]`, replacing `[GitLab repository URL]` with your actual GitLab repository URL.\n\nFinally, run `git push origin master --force` to send the WordPress code from the Pantheon site to GitLab.\n\n_The --force flag is only needed as part of this one-time step. Subsequent `git push` commands to GitLab won't need it._\n\n## Set up credentials and variables\n\nRemember how we added an SSH key locally to authorize with Pantheon and GitLab? Well, an SSH token can also be used to authorize GitLab and Pantheon.\n\nGitLab has some great documentation, and we will be looking at the [SSH keys when using the Docker executor section of the Using SSH keys with GitLab CI/CD doc](https://docs.gitlab.com/ee/ci/ssh_keys/#ssh-keys-when-using-the-docker-executor).\n\nAt this point, we will need to do the first two steps: _Create a new SSH key pair locally with ssh-keygen and Add the private key as a variable to your project._\n\nWhen done, `SSH_PRIVATE_KEY` should be set as a [GitLab CI/CD Environment Variables](https://docs.gitlab.com/ee/ci/variables/) in the project settings.\n\nTo take care of the third and fourth steps, create `.gitlab-ci.yml` file with the following contents:\n\n```markdown\nbefore_script:\n  # See https://docs.gitlab.com/ee/ci/ssh_keys/\n  - eval $(ssh-agent -s)\n  - echo \"$SSH_PRIVATE_KEY\" | tr -d '\\r' | ssh-add - > /dev/null\n  - mkdir -p $HOME/.ssh && echo \"StrictHostKeyChecking no\" >> \"$HOME/.ssh/config\"\n  - git config --global user.email \"$GITLAB_USER_EMAIL\"\n  - git config --global user.name \"Gitlab CI\"\n  ```\n\nDon't commit the `.gitlab-ci.yml` file just yet, we will be adding more to it in the next section.\n\nNow, we need to take care of step 5, _add the public key from the one you created in the first step to the services that you want to have an access to from within the build environment._\n\nIn our case, the service we want to access from GitLab is Pantheon. Follow the Pantheon doc to [Add Your SSH Key to Pantheon](https://pantheon.io/docs/ssh-keys/#add-your-ssh-key-to-pantheon) to complete this step.\n\n_Be sure that the private SSH key is in GitLab and the public key is on Pantheon_\n\nWe will also need to set some additional environment variables. The first one should be named PANTHEON_SITE, and the value will be the machine name of your `Pantheon site`. and the value will be the *machine name* of your Pantheon site.\n\nYou can get the machine name from the end of the Clone with Git command. Since you already cloned the site locally, it will be the directory name of your local repository.\n\n![wordpress machine name](https://about.gitlab.com/images/blogimages/pantheon-machine-name.png){: .shadow.medium.center}\n\nThe next GitLab CI environment variable to set is `PANTHEON_GIT_URL`, which will be the Git repository URL of the Pantheon site that we used earlier.\n\n_Enter just the SSH repository URL, leaving off `git clone` and the site machine name at the end._\n\nPhew! Now that setup is done, we can move on to finishing our `.gitlab-ci.yml` file.\n\n## Create the deployment job\n\nWhat we will be doing with GitLab CI initially is very similar to what we did with Git repositories earlier. This time though, we will add the Pantheon repository as a second Git remote and then push the code from GitLab to Pantheon.\n\nTo do this, we will set up a [stage](https://docs.gitlab.com/ee/ci/yaml/#stages) named `deploy` and a [job](https://docs.gitlab.com/ee/ci/jobs/) named `deploy:dev`, as it will deploy to the dev environment on Pantheon. The resulting `.gitlab-ci.yml` file should look like this:\n```text\nstages:\n- deploy\n\nbefore_script:\n  # See https://docs.gitlab.com/ee/ci/ssh_keys/\n  - eval $(ssh-agent -s)\n  - echo \"$SSH_PRIVATE_KEY\" | tr -d '\\r' | ssh-add - > /dev/null\n  - mkdir -p $HOME/.ssh && echo \"StrictHostKeyChecking no\" >> \"$HOME/.ssh/config\"\n  - git config --global user.email \"$GITLAB_USER_EMAIL\"\n  - git config --global user.name \"Gitlab CI\"\n\ndeploy:dev:\n  stage: deploy\n  environment:\n    name: dev\n    url: https://dev-$PANTHEON_SITE.pantheonsite.io/\n  script:\n    - git remote add pantheon $PANTHEON_GIT_URL\n    - git push pantheon master --force\n  only:\n    - master\n```\n`SSH_PRIVATE_KEY`, `PANTHEON_SITE`, and `PANTHEON_GIT_URL` should all look familiar - they are the environment variables we set up earlier. Having environment variables will allow us to re-use the values multiple times in our `.gitlab-ci.yml` file, while having one place to update them, should they change in the future.\n\nFinally, add, commit, and push the `.gitlab-ci.yml` file to send it to GitLab.\n\n## Verify the deployment\n\nIf everything was done correctly, the `deploy:dev` job run on GitLab CI/CD, succeed and send the `.gitlab-ci.yml` commit to Pantheon. Let's take a look!\n\n![deploy job](https://about.gitlab.com/images/blogimages/gitlab-deploy-dev-job.png){: .shadow.center}\n\n![deploy job passing](https://about.gitlab.com/images/blogimages/gitlab-deploy-dev-job-passed.png){: .shadow.center}\n\n![gitlab commit on pantheon dev](https://about.gitlab.com/images/blogimages/gitlab-commits-on-pantheon-dev.png){: .shadow.center}\n\n## Sending merge request branches to Pantheon\n\nThis next section makes use of my favorite Pantheon feature, [multidev](https://pantheon.io/docs/multidev), which allows you to create additional Pantheon environments on demand associated with Git branches.\n\nThis section is entirely optional as [multidev access is restricted](https://pantheon.io/docs/multidev-faq/), however, if you do have multidev access, having GitLab merge requests automatically create multidev environments on Pantheon is a huge workflow improvement.\n\nWe will start by making a new Git branch locally with `git checkout -b multidev-support`. Now, let's edit `.gitlab-ci.yml` again.\n\nI like to use the merge request number in the Pantheon environment name. For example, the first merge request would be `mr-1`, the second would be `mr-2`, and so on.\n\nSince the merge request changes, we need to define these Pantheon branch names dynamically. GitLab makes this easy by providing [predefined environment](https://docs.gitlab.com/ee/ci/variables/predefined_variables.html) variables.\n\nWe can use `$CI_MERGE_REQUEST_IID`, which provides the merge request number. Let's put that to use, along with our global environment variables from earlier, and add a new deploy:multidev job to the end of our `.gitlab-ci.yml` file.\n```yaml\ndeploy:multidev:\n  stage: deploy\n  environment:\n    name: multidev/mr-$CI_MERGE_REQUEST_IID\n    url: https://mr-$CI_MERGE_REQUEST_IID-$PANTHEON_SITE.pantheonsite.io/\n  script:\n    # Checkout the merge request source branch\n    - git checkout $CI_COMMIT_REF_NAME\n    # Add the Pantheon git repository as an additional remote\n    - git remote add pantheon $PANTHEON_GIT_URL\n    # Push the merge request source branch to Pantheon\n    - git push pantheon $CI_COMMIT_REF_NAME:mr-$CI_MERGE_REQUEST_IID --force\n  only:\n    - merge_requests\n```\nThis should look very similar to our `deploy:dev` job, only pushing a branch to Pantheon instead of `master`.\n\nAfter you add and commit the updated `.gitlab-ci.yml` file, push this new branch to GitLab with `git push -u origin multidev-support`.\n\nNext, let's create a new merge request from our `multidev-support` branch by following the _Create merge request_ prompt.\n\n![create merge request](https://about.gitlab.com/images/blogimages/gitlab-create-merge-request-prompt.png){: .shadow.medium.center}\n\nAfter creating the merge request, look for the  CI/CD job `deploy:multidev` to run.\n\n![multidev deploy success](https://about.gitlab.com/images/blogimages/multidev-branch-deploy-success.png){: .shadow.medium.center}\n\nLook at that – a new branch was sent to Pantheon. However, when we go to the multidev section of the site dashboard on Pantheon there isn't a new multidev environment.\n\n![multidev branch](https://about.gitlab.com/images/blogimages/pantheon-no-multidev-environments.png){: .shadow.medium.center}\n\nLet's look at the _Git_ Branches section.\n\n![mr branch](https://about.gitlab.com/images/blogimages/pantheon-mr-1-branch.png){: .shadow.medium.center}\n\nOur `mr-1` branch did make it to Pantheon after all. Go ahead and create an environment from the `mr-1` branch.\n\n![create multidev](https://about.gitlab.com/images/blogimages/pantheon-mr-1-multidev-creation.png){: .shadow.medium.center}\n\nOnce the multidev environment has been created, head back to GitLab and look at the _Operations > Environments_ section. You will notice entries for `dev` and `mr-1`.\n\nThis is because we added an `environment` entry with `name` and `url` to our CI/CD jobs. If you click on the open environment icon, you will be taken to the URL for the multidev on Pantheon.\n\n## Automating multidev creation\n\nWe _could_ stop here and try to remember to create a multidev environment each time there is a new merge request, but we can automate that process as well!\n\nPantheon has a command line tool, [Terminus](https://pantheon.io/docs/terminus/), that allows you to interact with the platform in an automated fashion. Terminus will allow us to provision our multidev environments from the command line – perfect for use in [GitLab CI](https://docs.gitlab.com/ee/ci/).\n\nWe will need a new merge request to test this, so let's create a new branch with `git checkout -b auto-multidev-creation`.\n\nIn order to use Terminus in GitLab CI/CD jobs we will need a machine token to authenticate with Terminus and a container image with Terminus available.\n\n[Create a Pantheon machine token](https://pantheon.io/docs/machine-tokens/#create-a-machine-token), save it to a safe place, and add it as a global GitLab environment variable named `PANTHEON_MACHINE_TOKEN`.\n\n_If you don't remember how to add GitLab environment variables, scroll up to where we defined `PANTHEON_SITE` earlier in the tutorial._\n\n## Building a Dockerfile with Terminus\n\nIf you don't have Docker or aren't comfortable working with `Dockerfile` files, you can use my image `registry.gitlab.com/ataylorme/pantheon-gitlab-blog-demo:latest` and skip this section.\n\n[GitLab has a container registry](https://docs.gitlab.com/ee/user/packages/container_registry/index.html) that allows us to build and host a Dockerfile for use in our project. Let's create a Dockerfile that has Terminus available, so we can interact with Pantheon.\n\nTerminus is a PHP-based command line tool, so we will start with a PHP image. I prefer to install Terminus via Composer so I'll be using [the official Docker Composer image](https://hub.docker.com/_/composer) as a base. Create a `Dockerfile` in your local repository directory with the following contents:\n```text\n# Use the official Composer image as a parent image\nFROM composer:1.8\n\n# Update/upgrade apk\nRUN apk update\nRUN apk upgrade\n\n# Make the Terminus directory\nRUN mkdir -p /usr/local/share/terminus\n\n# Install Terminus 2.x with Composer\nRUN /usr/bin/env COMPOSER_BIN_DIR=/usr/local/bin composer -n --working-dir=/usr/local/share/terminus require pantheon-systems/terminus:\"^2\"\n```\nFollow the _Build and push images_ section of the [container registry documentation](https://gitlab.com/help/user/project/container_registry#build-and-push-images) to build an image from the `Dockerfile` and upload it to GitLab.\n\nVisit the _Registry_ section of your GitLab project. If things went according to plan you will see your image listed. Make a note of the image tag link, as we will need to use that in our `.gitlab-ci.yml` file.\n\n![container registry](https://about.gitlab.com/images/blogimages/gitlab-container-registry.png){: .shadow.center}\n\nThe `script` section of our `deploy:multidev` job is starting to get long, so let's move it to a dedicated file. Create a new file `private/multidev-deploy.sh` with the following contents:\n```bash\n#!/bin/bash\n\n# Store the mr- environment name\nexport PANTHEON_ENV=mr-$CI_MERGE_REQUEST_IID\n\n# Authenticate with Terminus\nterminus auth:login --machine-token=$PANTHEON_MACHINE_TOKEN\n\n# Checkout the merge request source branch\ngit checkout $CI_COMMIT_REF_NAME\n\n# Add the Pantheon Git repository as an additional remote\ngit remote add pantheon $PANTHEON_GIT_URL\n\n# Push the merge request source branch to Pantheon\ngit push pantheon $CI_COMMIT_REF_NAME:$PANTHEON_ENV --force\n\n# Create a function for determining if a multidev exists\nTERMINUS_DOES_MULTIDEV_EXIST()\n{\n    # Stash a list of Pantheon multidev environments\n    PANTHEON_MULTIDEV_LIST=\"$(terminus multidev:list ${PANTHEON_SITE} --format=list --field=id)\"\n\n    while read -r multiDev; do\n        if [[ \"${multiDev}\" == \"$1\" ]]\n        then\n            return 0;\n        fi\n    done \u003C\u003C\u003C \"$PANTHEON_MULTIDEV_LIST\"\n\n    return 1;\n}\n\n# If the mutltidev doesn't exist\nif ! TERMINUS_DOES_MULTIDEV_EXIST $PANTHEON_ENV\nthen\n    # Create it with Terminus\n    echo \"No multidev for $PANTHEON_ENV found, creating one...\"\n    terminus multidev:create $PANTHEON_SITE.dev $PANTHEON_ENV\nelse\n    echo \"The multidev $PANTHEON_ENV already exists, skipping creating it...\"\nfi\n```\nThe script is in the `private` directory as [it is not web accessible on Pantheon](https://pantheon.io/docs/private-paths/). Now that we have a script for our multidev logic, update the `deploy:multidev` section of `.gitlab-ci.yml` so that it looks like this:\n```yaml\ndeploy:multidev:\n  stage: deploy\n  environment:\n    name: multidev/mr-$CI_MERGE_REQUEST_IID\n    url: https://mr-$CI_MERGE_REQUEST_IID-$PANTHEON_SITE.pantheonsite.io/\n  script:\n    # Run the multidev deploy script\n    - \"/bin/bash ./private/multidev-deploy.sh\"\n  only:\n    - merge_requests\n```\nIn order to make sure our jobs run with the custom image created earlier, add an `image` definition with the registry URL to `.gitlab-ci.yml`. My complete `.gitlab-ci.yml` file now looks like this:\n```text\nimage: registry.gitlab.com/ataylorme/pantheon-gitlab-blog-demo:latest\n\nstages:\n- deploy\n\nbefore_script:\n  # See https://docs.gitlab.com/ee/ci/ssh_keys/\n  - eval $(ssh-agent -s)\n  - echo \"$SSH_PRIVATE_KEY\" | tr -d '\\r' | ssh-add - > /dev/null\n  - mkdir -p $HOME/.ssh && echo \"StrictHostKeyChecking no\" >> \"$HOME/.ssh/config\"\n  - git config --global user.email \"$GITLAB_USER_EMAIL\"\n  - git config --global user.name \"Gitlab CI\"\n\ndeploy:dev:\n  stage: deploy\n  environment:\n    name: dev\n    url: https://dev-$PANTHEON_SITE.pantheonsite.io/\n  script:\n    - git remote add pantheon $PANTHEON_GIT_URL\n    - git push pantheon master --force\n  only:\n    - master\n\ndeploy:multidev:\n  stage: deploy\n  environment:\n    name: multidev/mr-$CI_MERGE_REQUEST_IID\n    url: https://mr-$CI_MERGE_REQUEST_IID-$PANTHEON_SITE.pantheonsite.io/\n  script:\n    # Run the multidev deploy script\n    - \"/bin/bash ./private/multidev-deploy.sh\"\n  only:\n    - merge_requests\n```\n\nAdd, commit, and push `private/multidev-deploy.sh` and `.gitlab-ci.yml`. Now, head back to GitLab and wait for the CI/CD job to finish. The multidev creation takes a few minutes, so be patient.\n\nWhen it is finished, go check out the multidev list on Pantheon. Voila! The `mr-2` multidev is there.\n\n![mr-2](https://about.gitlab.com/images/blogimages/pantheon-mr-2-multidev.png){: .shadow.medium.center}\n\n## Conclusion\n\nOpening a merge request and having an environment spin up automatically is a powerful addition to any team's workflow.\n\nBy leveraging the powerful tools offered by both GitLab and Pantheon, we can connect GitLab to Pantheon in an automated fashion.\n\nSince we used GitLab CI/CD, there is room for growth in our workflow as well. Here are a few ideas to get you started:\n* Add a build step.\n* Add automated testing.\n* Add a job to enforce coding standards.\n* Add [dynamic application security testing](https://docs.gitlab.com/ee/user/application_security/dast/).\n\nDrop me a line with any thoughts you have on GitLab, Pantheon, and automation.\n\nP.S. Did you know Terminus, Pantheon’s command line tool, [is extendable via plugins](https://pantheon.io/docs/terminus/plugins/)?\n\nOver at Pantheon, we have been hard at work on version 2 of our [Terminus Build Tools Plugin](https://github.com/pantheon-systems/terminus-build-tools-plugin/), complete with GitLab support. If you don't want to do all this setup for each project, I encourage you to check it out and help us test the v2 beta. The terminus `build:project:create` command just needs a Pantheon token and GitLab token. From there, it will spin up one of our example projects, complete with Composer and automated testing, create a new project on GitLab, a new site on Pantheon, and connect the two by setting up environment variables and SSH keys.\n\n### About the guest author\n\nAndrew Taylor is a Developer Programs Engineer at [Pantheon](https://pantheon.io/).\n",[23,24,25,26],"DevOps","integrations","community","workflow","yml",{},true,"/en-us/blog/connecting-gitlab-and-pantheon-streamline-wordpress-drupal-workflows",{"title":32,"description":16,"ogTitle":32,"ogDescription":16,"noIndex":12,"ogImage":19,"ogUrl":33,"ogSiteName":34,"ogType":35,"canonicalUrls":33},"Streamlining Drupal and WordPress with GitLab and 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But sometimes, you have to step away from the Zoom calls and stand in a crowded university hall to remember why we do this.",[708],"Nick Veenhof","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750099013/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%2814%29_6VTUA8mUhOZNDaRVNPeKwl_1750099012960.png","2026-01-08",[25,610,712],"open source","The GitLab team recently had the privilege of judging the **iHack Hackathon** at **IIT Bombay's E-Summit**. The energy was electric, the coffee was flowing, and the talent was undeniable. But what struck us most wasn't just the code — it was the sheer determination of students to solve real-world problems, often overcoming significant logistical and financial hurdles to simply be in the room.\n\n\nThrough our [GitLab for Education program](https://about.gitlab.com/solutions/education/), we aim to empower the next generation of developers with tools and opportunity. Here is a look at what the students built, and how they used GitLab to bridge the gap between idea and reality.\n\n## The challenge: Build faster, build securely\n\nThe premise for the GitLab track of the hackathon was simple: Don't just show us a product; show us how you built it. We wanted to see how students utilized GitLab's platform — from Issue Boards to CI/CD pipelines — to accelerate the development lifecycle.\n\nThe results were inspiring.\n\n## The winners\n\n### 1st place: Team Decode — Democratizing Scientific Research\n\n**Project:** FIRE (Fast Integrated Research Environment)\n\nTeam Decode took home the top prize with a solution that warms a developer's heart: a local-first, blazing-fast data processing tool built with [Rust](https://about.gitlab.com/blog/secure-rust-development-with-gitlab/) and Tauri. They identified a massive pain point for data science students: existing tools are fragmented, slow, and expensive.\n\nTheir solution, FIRE, allows researchers to visualize complex formats (like NetCDF) instantly. What impressed the judges most was their \"hacker\" ethos. They didn't just build a tool; they built it to be open and accessible.\n\n**How they used GitLab:** Since the team lived far apart, asynchronous communication was key. They utilized **GitLab Issue Boards** and **Milestones** to track progress and integrated their repo with Telegram to get real-time push notifications. As one team member noted, \"Coordinating all these technologies was really difficult, and what helped us was GitLab... the Issue Board really helped us track who was doing what.\"\n\n![Team Decode](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380253/epqazj1jc5c7zkgqun9h.jpg)\n\n### 2nd place: Team BichdeHueDost — Reuniting to Solve Payments\n\n**Project:** SemiPay (RFID Cashless Payment for Schools)\n\nThe team name, BichdeHueDost, translates to \"Friends who have been set apart.\" It's a fitting name for a group of friends who went to different colleges but reunited to build this project. They tackled a unique problem: handling cash in schools for young children. Their solution used RFID cards backed by a blockchain ledger to ensure secure, cashless transactions for students.\n\n**How they used GitLab:** They utilized [GitLab CI/CD](https://about.gitlab.com/topics/ci-cd/) to automate the build process for their Flutter application (APK), ensuring that every commit resulted in a testable artifact. This allowed them to iterate quickly despite the \"flaky\" nature of cross-platform mobile development.\n\n![Team BichdeHueDost](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380253/pkukrjgx2miukb6nrj5g.jpg)\n\n### 3rd place: Team ZenYukti — Agentic Repository Intelligence\n\n**Project:** RepoInsight AI (AI-powered, GitLab-native intelligence platform)\n\nTeam ZenYukti impressed us with a solution that tackles a universal developer pain point: understanding unfamiliar codebases. What stood out to the judges was the tool's practical approach to onboarding and code comprehension: RepoInsight-AI automatically generates documentation, visualizes repository structure, and even helps identify bugs, all while maintaining context about the entire codebase.\n\n**How they used GitLab:** The team built a comprehensive CI/CD pipeline that showcased GitLab's security and DevOps capabilities. They integrated [GitLab's Security Templates](https://gitlab.com/gitlab-org/gitlab/-/tree/master/lib/gitlab/ci/templates/Security) (SAST, Dependency Scanning, and Secret Detection), and utilized [GitLab Container Registry](https://docs.gitlab.com/user/packages/container_registry/) to manage their Docker images for backend and frontend components. They created an AI auto-review bot that runs on merge requests, demonstrating an \"agentic workflow\" where AI assists in the development process itself.\n\n![Team ZenYukti](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380253/ymlzqoruv5al1secatba.jpg)\n\n## Beyond the code: A lesson in inclusion\n\nWhile the code was impressive, the most powerful moment of the event happened away from the keyboard.\n\nDuring the feedback session, we learned about the journey Team ZenYukti took to get to Mumbai. They traveled over 24 hours, covering nearly 1,800 kilometers. Because flights were too expensive and trains were booked, they traveled in the \"General Coach,\" a non-reserved, severely overcrowded carriage.\n\nAs one student described it:\n\n*\"You cannot even imagine something like this... there are no seats... people sit on the top of the train. This is what we have endured.\"*\n\nThis hit home. [Diversity, Inclusion, and Belonging](https://handbook.gitlab.com/handbook/company/culture/inclusion/) are core values at GitLab. We realized that for these students, the barrier to entry wasn't intellect or skill, it was access.\n\nIn that moment, we decided to break that barrier. We committed to reimbursing the travel expenses for the participants who struggled to get there. It's a small step, but it underlines a massive truth: **talent is distributed equally, but opportunity is not.**\n\n![hackathon class together](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380252/o5aqmboquz8ehusxvgom.jpg)\n\n### The future is bright (and automated)\n\nWe also saw incredible potential in teams like Prometheus, who attempted to build an autonomous patch remediation tool (DevGuardian), and Team Arrakis, who built a voice-first job portal for blue-collar workers using [GitLab Duo](https://about.gitlab.com/gitlab-duo/) to troubleshoot their pipelines.\n\nTo all the students who participated: You are the future. Through [GitLab for Education](https://about.gitlab.com/solutions/education/), we are committed to providing you with the top-tier tools (like GitLab Ultimate) you need to learn, collaborate, and change the world — whether you are coding from a dorm room, a lab, or a train carriage. **Keep shipping.**\n\n> :bulb: Learn more about the [GitLab for Education program](https://about.gitlab.com/solutions/education/).\n",{"slug":715,"featured":12,"template":13},"how-iit-bombay-students-code-future-with-gitlab",{"content":717,"config":726},{"title":718,"description":719,"authors":720,"heroImage":721,"date":722,"category":9,"tags":723,"body":725},"Artois University elevates research and curriculum with GitLab Ultimate for Education","Artois University's CRIL leveraged the GitLab for Education program to gain free access to Ultimate, transforming advanced research and computer science curricula.",[708],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1750099203/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%2820%29_2bJGC5ZP3WheoqzlLT05C5_1750099203484.png","2025-12-10",[610,25,724],"product","Leading academic institutions face a critical challenge: how to provide thousands of students and researchers with industry-standard, **full-featured DevSecOps tools** without compromising institutional control. Many start with basic version control, but the modern curriculum demands integrated capabilities for planning, security, and advanced CI/CD.\n\nThe **GitLab for Education program** is designed to solve this by providing access to **GitLab Ultimate** for qualifying institutions, allowing them to scale their operations and elevate their academic offerings. \n\nThis article showcases a powerful success story from the **Centre de Recherche en Informatique de Lens (CRIL)**, a joint laboratory of **Artois University** and CNRS in France. After years of relying solely on GitLab Community Edition (CE), the university's move to GitLab Ultimate through the GitLab for Education program immediately unlocked advanced capabilities, transforming their teaching, research, and contribution workflows virtually overnight. This story demonstrates why GitLab Ultimate is essential for institutions seeking to deliver advanced computer science and research curricula.\n\n## GitLab Ultimate unlocked: Managing scale and driving academic value\n\n**Artois University's** self-managed GitLab instance is a large-scale operation, supporting nearly **3,000 users** across approximately **19,000 projects**, primarily serving computer science students and researchers. While GitLab Community Edition was robust, the upgrade to GitLab Ultimate provided the sophisticated tooling necessary for managing this scale and facilitating advanced university-level work.\n\n***\"We can see the difference,\" says Daniel Le Berre, head of research at CRIL and the instance maintainer. \"It's a completely different product. Each week reveals new features that directly enhance our productivity and teaching.\"***\n\nThe institution joined the GitLab for Education program specifically because it covers both **instructional and non-commercial research use cases** and offers full access to Ultimate's features, removing significant cost barriers.\n\n### Key GitLab Ultimate benefits for students and researchers\n\n* **Advanced project management at scale:** Master's students now benefit from **GitLab Ultimate's project planning features**. This enables them to structure, track, and manage complex, long-term research projects using professional methodologies like portfolio management and advanced issue tracking that seamlessly roll up across their thousands of projects.\n\n* **Enhanced visibility:** Features like improved dashboards and code previews directly in Markdown files dramatically streamline tracking and documentation review, reducing administrative friction for both instructors and students managing large project loads.\n\n## Comprehensive curriculum: From concepts to continuous delivery\n\nGitLab Ultimate is deeply integrated into the computer science curriculum, moving students beyond simple `git` commands to practical **DevSecOps implementation**.\n\n* **Git fundamentals:** Students begin by visualizing concepts using open-source tools to master Git concepts.\n\n* **Full CI/CD implementation:** Students use GitLab CI for rigorous **Test-Driven Development (TDD)** in their software projects. They learn to build, test, and perform quality assurance using unit and integration testing pipelines—core competency made seamless by the integrated platform.\n\n* **DevSecOps for research and documentation:** The university teaches students that DevSecOps principles are vital for all collaborative work. Inspired by earlier work in Delft, students manage and produce critical research documentation (PDFs from Markdown files) using GitLab, incorporating quality checks like linters and spell checks directly in the CI pipeline. This ensures high-quality, reproducible research output.\n\n* **Future-proofing security skills:** The GitLab Ultimate platform immediately positions the institution to incorporate advanced DevSecOps features like SAST and DAST scanning as their research and development code projects grow, ensuring students are prepared for industry security standards.\n\n## Accelerating open source contributions with GitLab Duo\n\nAccess to the full GitLab platform, including our AI capabilities, has empowered students to make impactful contributions to the wider open source community faster than ever before.\n\nTwo Master's students recently completed direct contributions to the GitLab product, adding the **ORCID identifier** into user profiles. Working on GitLab.com, they leveraged **GitLab Duo's AI chat and code suggestions** to navigate the codebase efficiently.\n\n***\"This would not have been possible without GitLab Duo,\" Daniel Le Berre notes. \"The AI features helped students, who might have lacked deep codebase knowledge, deliver meaningful contributions in just two weeks.\"***\n\nThis demonstrates how providing students with cutting-edge tools **accelerates their learning and impact**, allowing them to translate classroom knowledge into real-world contributions immediately.\n\n## Empowering open research and institutional control\n\nThe stability of the self-managed instance at Artois University is key to its success. This model guarantees **institutional control and stability** — a critical factor for long-term research preservation.\n\nThe institution's expertise in this area was recently highlighted in a major 2024 study led by CRIL, titled: \"[Higher Education and Research Forges in France - Definition, uses, limitations encountered and needs analysis](https://hal.science/hal-04208924v4)\" ([Project on GitLab](https://gitlab.in2p3.fr/coso-college-codes-sources-et-logiciels/forges-esr-en)). The research found that the vast majority of public forges in French Higher Education and Research relied on **GitLab**. This finding underscores the consensus among academic leaders that self-hosted solutions are essential for **data control and longevity**, especially when compared to relying on external, commercial forges.\n\n## Unlock GitLab Ultimate for your institution today\n\nThe success story of **Artois University's CRIL** proves the transformative power of the GitLab for Education program. By providing **free access to GitLab Ultimate**, we enable large-scale institutions to:\n\n1.  **Deliver a modern, integrated DevSecOps curriculum.**\n\n2.  **Support advanced, collaborative research projects with Ultimate planning features.**\n\n3.  **Empower students to make AI-assisted open source contributions.**\n\n4.  **Maintain institutional control and data longevity.**\n\nIf your academic institution is ready to equip its students and researchers with the complete DevSecOps platform and its most advanced features, we invite you to join the program.\n\nThe program provides **free access to GitLab Ultimate** for qualifying instructional and non-commercial research use cases.\n\n**Apply now [online](https://about.gitlab.com/solutions/education/join/).**\n",{"slug":727,"featured":29,"template":13},"artois-university-elevates-curriculum-with-gitlab-ultimate-for-education",{"content":729,"config":742},{"category":9,"tags":730,"body":733,"date":734,"updatedDate":735,"heroImage":736,"authors":737,"title":740,"description":741},[731,732,109],"tutorial","git","\nEnterprise teams are increasingly migrating from Azure DevOps to GitLab to gain strategic advantages and accelerate secure software delivery. \n\n\n- GitLab comes with integrated controls, policies, and [compliance frameworks](https://docs.gitlab.com/user/compliance/compliance_frameworks/) that allow organizations to implement software delivery standards at scale. This is especially important for regulated industries.\n\n- [Security testing](https://docs.gitlab.com/user/application_security/) is embedded in the pipeline and results show in the developer workflow, including static application security testing (SAST), source code analysis (SCA), dynamic application security testing (DAST), infrastructure-as-code scanning (IaC), container scanning, and API scanning.\n\n- [AI capabilities](https://about.gitlab.com/gitlab-duo-agent-platform/) across the full software delivery lifecycle include advanced agent orchestration and customizable flows to support how your organizational teams work.\n\n\nGitLab's open-source, open-core approach, flexible deployment options such as single-tenant dedicated and self-managed, and truly unified platform eliminate integration complexity and security gaps. \n\n\nFor teams facing mounting pressure to accelerate delivery while strengthening security posture and maintaining regulatory compliance, GitLab represents not just a migration but a platform evolution.\n\n\nMigrating from Azure DevOps to GitLab can seem like a daunting task, but with the right approach and tools, it can be a smooth and efficient process. This guide will walk you through the steps needed to successfully migrate your projects, repositories, and pipelines from Azure DevOps to GitLab.\n\n\n## Overview\n\nGitLab provides both [Congregate](https://gitlab.com/gitlab-org/professional-services-automation/tools/migration/congregate/) (maintained by [GitLab Professional Services](https://about.gitlab.com/professional-services/) organization) and [a built-in Git repository import](https://docs.gitlab.com/user/project/import/repo_by_url/) for migrating projects from Azure DevOps (ADO). These options support repository-by-repository or bulk migration and preserve git commit history, branches, and tags. With Congregate and professional services tools, we support additional assets such as wikis, work items, CI/CD variables, container images, packages, pipelines, and more (see this [feature matrix](https://gitlab.com/gitlab-org/professional-services-automation/tools/migration/congregate/-/blob/master/customer/ado-migration-features-matrix.md)). Use this guide to plan and execute your migration and complete post-migration follow-up tasks.\n\n\nEnterprises migrating from ADO to GitLab commonly follow a multi-phase approach:\n\n\n- Migrate repositories from ADO to GitLab using Congregate or GitLab's built-in repository migration.\n\n- Migrate pipelines from Azure Pipelines to GitLab CI/CD.\n\n- Migrate remaining assets such as boards, work items, and artifacts to GitLab Issues, Epics, and the Package and Container Registries.\n\n\nHigh-level migration phases:\n\n\n```mermaid\ngraph LR\n    subgraph Prerequisites\n        direction TB\n        A[\"Set up identity provider (IdP) and\u003Cbr/>provision users\"]\n        A --> B[\"Set up runners and\u003Cbr/>third-party integrations\"]\n        B --> I[\"Users enablement and\u003Cbr/>change management\"]\n    end\n    \n    subgraph MigrationPhase[\"Migration phase\"]\n        direction TB\n        C[\"Migrate source code\"]\n        C --> D[\"Preserve contributions and\u003Cbr/> format history\"]\n        D --> E[\"Migrate work items and\u003Cbr/>map to \u003Ca href=\"https://docs.gitlab.com/topics/plan_and_track/\">GitLab Plan \u003Cbr/>and track work\"]\n    end\n    \n    subgraph PostMigration[\"Post-migration steps\"]\n        direction TB\n        F[\"Create or translate \u003Cbr/>ADO pipelines to GitLab CI\"]\n        F --> G[\"Migrate other assets\u003Cbr/>packages and container images\"]\n        G --> H[\"Introduce \u003Ca href=\"https://docs.gitlab.com/user/application_security/secure_your_application/\">security\u003C/a> and\u003Cbr/>SDLC improvements\"]\n    end\n    \n    Prerequisites --> MigrationPhase\n    MigrationPhase --> PostMigration\n\n    style A fill:#FC6D26\n    style B fill:#FC6D26\n    style I fill:#FC6D26\n    style C fill:#8C929D\n    style D fill:#8C929D\n    style E fill:#8C929D\n    style F fill:#FFA500\n    style G fill:#FFA500\n    style H fill:#FFA500\n```\n\n\n## Planning your migration\n\n\n**To plan your migration, ask these questions:**\n\n\n- How soon do we need to complete the migration?\n\n- Do we understand what will be migrated?\n\n- Who will run the migration?\n\n- What organizational structure do we want in GitLab?\n\n- Are there any constraints, limitations, or pitfalls that need to be taken into account?\n\n\nDetermine your timeline, as it will largely dictate your migration approach. Identify champions or groups familiar with both ADO and GitLab platforms (such as early adopters) to help drive adoption and provide guidance.\n\n\n**Inventory what you need to migrate:**\n\n\n- The number of repositories, pull requests, and contributors\n\n- The number and complexity of work items and pipelines\n\n- Repository sizes and dependency relationships\n\n- Critical integrations and runner requirements (agent pools with specific capabilities)\n\n\nUse GitLab Professional Services's [Evaluate](https://gitlab.com/gitlab-org/professional-services-automation/tools/utilities/evaluate#beta-azure-devops) tool to produce a complete inventory of your entire Azure DevOps organization, including repositories, PR counts, contributor lists, number of pipelines, work items, CI/CD variables and more. If you're working with the GitLab Professional Services team, share this report with your engagement manager or technical architect to help plan the migration.\n\n\nMigration timing is primarily driven by pull request count, repository size, and amount of contributions (e.g. comments in PR, work items, etc). For example, 1,000 small repositories with few PRs and limited contributors can migrate much faster than a smaller set of repositories containing tens of thousands of PRs and thousands of contributors. Use your inventory data to estimate effort and plan test runs before proceeding with production migrations.\n\n\nCompare inventory against your desired timeline and decide whether to migrate all repositories at once or in batches. If teams cannot migrate simultaneously, batch and stagger migrations to align with team schedules. For example, in Professional Services engagements, we organize migrations into waves of 200-300 projects to manage complexity and respect API rate limits, both in [GitLab](https://docs.gitlab.com/security/rate_limits/) and [ADO](https://learn.microsoft.com/en-us/azure/devops/integrate/concepts/rate-limits?view=azure-devops).\n\n\nGitLab's built-in [repository importer](https://docs.gitlab.com/user/project/import/repo_by_url/) migrates Git repositories (commits, branches, and tags) one-by-one. Congregate is designed to preserve pull requests (known in GitLab as merge requests), comments, and related metadata where possible; the simple built-in repository import focuses only on the Git data (history, branches, and tags).\n\n\n**Items that typically require separate migration or manual recreation:**\n\n\n- Azure Pipelines - create equivalent GitLab CI/CD pipelines (consult with [CI/CD YAML](https://docs.gitlab.com/ci/yaml/) and/or with [CI/CD components](https://docs.gitlab.com/ci/components/)). Alternatively, consider using AI-based pipeline conversion available in Congregate.\n\n- Work items and boards - map to GitLab Issues, Epics, and Issue Boards.\n\n- Artifacts, container images (ACR) - migrate to GitLab Package Registry or Container Registry.\n\n- Service hooks and external integrations - recreate in GitLab.\n\n- [Permissions models](https://docs.gitlab.com/user/permissions/) differ between ADO and GitLab; review and plan permissions mapping rather than assuming exact preservation.\n\n\nReview what each tool (Congregate vs. built-in import) will migrate and choose the one that fits your needs. Make a list of any data or integrations that must be migrated or recreated manually.\n\n\n**Who will run the migration?**\n\n\nMigrations are typically run by a GitLab group owner or instance administrator, or by a designated migrator who has been granted the necessary permissions on the destination group/project. Congregate and the GitLab import APIs require valid authentication tokens for both Azure DevOps and GitLab.\n\n\n- Decide whether a group owner/admin will perform the migrations or whether you will grant a specific team/person delegated access.\n\n- Ensure the migrator has correctly configured personal access tokens (Azure DevOps and GitLab) with the scopes required by your chosen migration tool (for example, api/read_repository scopes and any tool-specific requirements). \n\n- Test tokens and permissions with a small pilot migration.\n\n**Note:** Congregate leverages file-based import functionality for ADO migrations and requires instance administrator permissions to run ([see our documentation](https://docs.gitlab.com/user/project/settings/import_export/#migrate-projects-by-uploading-an-export-file)). If you are migrating to GitLab.com, consider engaging Professional Services. For more information, see the [Professional Services Full Catalog](https://about.gitlab.com/professional-services/catalog/). Non-admin account cannot preserve contribution attribution!\n\n\n**What organizational structure do we want in GitLab?**\n\nWhile it's possible to map ADO structure directly to GitLab structure, it's recommended to rationalize and simplify the structure during migration. Consider how teams will work in GitLab and design the structure to facilitate collaboration and access management. Here is a way to think about mapping ADO structure to GitLab structure:\n\n\n```mermaid\ngraph TD\n    subgraph GitLab\n        direction TB\n        A[\"Top-level Group\"]\n        B[\"Subgroup (optional)\"]\n        C[\"Projects\"]\n        A --> B\n        A --> C\n        B --> C\n    end\n\n    subgraph AzureDevOps[\"Azure DevOps\"]\n        direction TB\n        F[\"Organizations\"]\n        G[\"Projects\"]\n        H[\"Repositories\"]\n        F --> G\n        G --> H\n    end\n\n    style A fill:#FC6D26\n    style B fill:#FC6D26\n    style C fill:#FC6D26\n    style F fill:#8C929D\n    style G fill:#8C929D\n    style H fill:#8C929D\n```\n\nRecommended approach:\n\n\n- Map each ADO organization to a GitLab group (or a small set of groups), not to many small groups. Avoid creating a GitLab group for every ADO team project. Use migration as an opportunity to rationalize your GitLab structure.\n\n- Use subgroups and project-level permissions to group related repositories.\n\n- Manage access to sets of projects by using GitLab groups and group membership (groups and subgroups) rather than one group per team project.\n\n- Review GitLab [permissions](https://docs.gitlab.com/ee/user/permissions.html) and consider [SAML Group Links](https://docs.gitlab.com/user/group/saml_sso/group_sync/) to implement an enterprise RBAC model for your GitLab instance (or a GitLab.com namespace).\n\n\n**ADO Boards and work items: State of migration**\n\n\nIt's important to understand how work items migrate from ADO into GitLab Plan (issues, epics, and boards).\n\n\n- ADO Boards and work items map to GitLab Issues, Epics, and Issue Boards. Plan how your workflows and board configurations will translate.\n\n- ADO Epics and Features become GitLab Epics.\n\n- Other work item types (e.g., user stories, tasks, bugs) become project-scoped issues.\n\n- Most standard fields are preserved; selected custom fields can be migrated when supported.\n\n- Parent-child relationships are retained so Epics reference all related issues.\n\n- Links to pull requests are converted to merge request links to maintain development traceability.\n\n\nExample: Migration of an individual work item to a GitLab Issue, including field accuracy and relationships:\n\n\n![Example: Migration of an individual work item to a GitLab Issue](https://res.cloudinary.com/about-gitlab-com/image/upload/v1764769188/ztesjnxxfbwmfmtckyga.png)\n\n\nBatching guidance:\n\n\n- If you need to run migrations in batches, use your new group/subgroup structure to define batches (for example, by ADO organization or by product area).\n\n- Use inventory reports to drive batch selection and test each batch with a pilot migration before scaling.\n\n\n**Pipelines migration**\n\n\nCongregate [recently introduced](https://gitlab.com/gitlab-org/professional-services-automation/tools/migration/congregate/-/merge_requests/1298) AI-powered conversion for multi-stage YAML pipelines from Azure DevOps to GitLab CI/CD. This automated conversion works best for simple, single-file pipelines and is designed to provide a working starting point rather than a production-ready `.gitlab-ci.yml` file. The tool generates a functionally equivalent GitLab pipeline that you can then refine and optimize for your specific needs.\n\n\n- Converts Azure Pipelines YAML to `.gitlab-ci.yml` format automatically.\n\n- Best suited for straightforward, single-file pipeline configurations.\n\n- Provides a boilerplate to accelerate migration, not a final production artifact.\n\n- Requires review and adjustment for complex scenarios, custom tasks, or enterprise requirements.\n\n- Does not support Azure DevOps classic release pipelines — [convert these to multi-stage YAML](https://learn.microsoft.com/en-us/azure/devops/pipelines/release/from-classic-pipelines?view=azure-devops) first.\n\n\nRepository owners should review the [GitLab CI/CD documentation](https://docs.gitlab.com/ci/) to further optimize and enhance their pipelines after the initial conversion.\n\n\nExample of converted pipelines:\n\n\n```yml \n\n# azure-pipelines.yml\n\ntrigger:\n  - main\n\nvariables:\n  imageName: myapp\n\nstages:\n  - stage: Build\n    jobs:\n      - job: Build\n        pool:\n          vmImage: 'ubuntu-latest'\n        steps:\n          - checkout: self\n\n          - task: Docker@2\n            displayName: Build Docker image\n            inputs:\n              command: build\n              repository: $(imageName)\n              Dockerfile: '**/Dockerfile'\n              tags: |\n                $(Build.BuildId)\n\n  - stage: Test\n    jobs:\n      - job: Test\n        pool:\n          vmImage: 'ubuntu-latest'\n        steps:\n          - checkout: self\n\n          # Example: run tests inside the container\n          - script: |\n              docker run --rm $(imageName):$(Build.BuildId) npm test\n            displayName: Run tests\n\n  - stage: Push\n    jobs:\n      - job: Push\n        pool:\n          vmImage: 'ubuntu-latest'\n        steps:\n          - checkout: self\n\n          - task: Docker@2\n            displayName: Login to ACR\n            inputs:\n              command: login\n              containerRegistry: '\u003Cyour-acr-service-connection>'\n\n          - task: Docker@2\n            displayName: Push image to ACR\n            inputs:\n              command: push\n              repository: $(imageName)\n              tags: |\n                $(Build.BuildId)\n\n```\n\n```yaml\n\n# .gitlab-ci.yml\n\nvariables:\n  imageName: myapp\n\nstages:\n  - build\n  - test\n  - push\n\nbuild:\n  stage: build\n  image: docker:latest\n  services:\n    - docker:dind\n  script:\n    - docker build -t $imageName:$CI_PIPELINE_ID -f $(find . -name Dockerfile) .\n  only:\n    - main\n\ntest:\n  stage: test\n  image: docker:latest\n  services:\n    - docker:dind\n  script:\n    - docker run --rm $imageName:$CI_PIPELINE_ID npm test\n  only:\n    - main\n\npush:\n  stage: push\n  image: docker:latest\n  services:\n    - docker:dind\n  before_script:\n    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY\n  script:\n    - docker tag $imageName:$CI_PIPELINE_ID $CI_REGISTRY/$CI_PROJECT_PATH/$imageName:$CI_PIPELINE_ID\n    - docker push $CI_REGISTRY/$CI_PROJECT_PATH/$imageName:$CI_PIPELINE_ID\n  only:\n    - main\n\n```\n\n**Final checklist:**\n\n\n- Decide timeline and batch strategy.\n\n- Produce a full inventory of repositories, PRs, and contributors.\n\n- Choose Congregate or the built-in import based on scope (PRs and metadata vs. Git data only).\n\n- Decide who will run migrations and ensure tokens/permissions are configured.\n\n- Identify assets that must be migrated separately (pipelines, work items, artifacts, and hooks) and plan those efforts.\n\n- Run pilot migrations, validate results, then scale according to your plan.\n\n\n## Running your migrations\n\n\nAfter planning, execute migrations in stages, starting with trial runs. Trial migrations help surface org-specific issues early and let you measure duration, validate outcomes, and fine-tune your approach before production.\n\n\nWhat trial migrations validate:\n\n\n- Whether a given repository and related assets migrate successfully (history, branches, tags; plus MRs/comments if using Congregate)\n\n- Whether the destination is usable immediately (permissions, runners, CI/CD variables, integrations)\n\n- How long each batch takes, to set schedules and stakeholder expectations\n\n\nDowntime guidance:\n\n\n- GitLab's built-in Git import and Congregate do not inherently require downtime.\n\n- For production waves, freeze changes in ADO (branch protections or read-only) to avoid missed commits, PR updates, or work items created mid-migration.\n\n- Trial runs do not require freezes and can be run anytime.\n\n\nBatching guidance:\n\n\n- Run trial batches back-to-back to shorten elapsed time; let teams validate results asynchronously.\n\n- Use your planned group/subgroup structure to define batches and respect API rate limits.\n\n\nRecommended steps:\n\n\n1. Create a test destination in GitLab for trials:\n\n\n  - GitLab.com: create a dedicated group/namespace (for example, my-org-sandbox)\n\n  - Self-managed: create a top-level group or a separate test instance if needed\n\n\n2. Prepare authentication:\n\n\n  - Azure DevOps PAT with required scopes.\n\n  - GitLab Personal Access Token with api and read_repository (plus admin access for file-based imports used by Congregate).\n\n\n3. Run trial migrations:\n\n\n  - Repos only: use GitLab's built-in import (Repo by URL)\n\n  - Repos + PRs/MRs and additional assets: use Congregate\n\n\n4. Post-trial follow-up:\n\n\n  - Verify repo history, branches, tags; merge requests (if migrated), issues/epics (if migrated), labels, and relationships.\n\n  - Check permissions/roles, protected branches, required approvals, runners/tags, variables/secrets, integrations/webhooks.\n\n  - Validate pipelines (`.gitlab-ci.yml`) or converted pipelines where applicable.\n\n\n5. Ask users to validate functionality and data fidelity.\n\n6. Resolve issues uncovered during trials and update your runbooks.\n\n7. Network and security:\n\n\n  - If your destination uses IP allow lists, add the IPs of your migration host and any required runners/integrations so imports can succeed.\n\n\n8. Run production migrations in waves:\n\n\n  - Enforce change freezes in ADO during each wave.\n\n  - Monitor progress and logs; retry or adjust batch sizes if you hit rate limits.\n\n\n9. Optional: remove the sandbox group or archive it after you finish.\n\n\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/ibIXGfrVbi4?si=ZxOVnXjCF-h4Ne0N\" frameborder=\"0\" allowfullscreen=\"true\">\u003C/iframe>\n\u003C/figure>\n\n\n## Terminology reference for GitLab and Azure DevOps\n\n| GitLab                                                           | Azure DevOps                                 | Similarities & Key Differences                                                                                                                                          |\n| ---------------------------------------------------------------- | -------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Group                                                            | Organization                                 | Top-level namespace, membership, policies. ADO org contains Projects; GitLab Group contains Subgroups and Projects.                                                   |\n| Group or Subgroup                                                | Project                                      | Logical container, permissions boundary. ADO Project holds many repos; GitLab Groups/Subgroups organize many Projects.                                                |\n| Project (includes a Git repo)                                    | Repository (inside a Project)                | Git history, branches, tags. In GitLab, a \"Project\" is the repo plus issues, CI/CD, wiki, etc. One repo per Project.                                                  |\n| Merge Request (MR)                                               | Pull Request (PR)                            | Code review, discussions, approvals. MR rules include approvals, required pipelines, code owners.                                                                     |\n| Protected Branches, MR Approval Rules, Status Checks             | Branch Policies                              | Enforce reviews and checks. GitLab combines protections + approval rules + required status checks.                                                                    |\n| GitLab CI/CD                                                     | Azure Pipelines                              | YAML pipelines, stages/jobs, logs. ADO also has classic UI pipelines; GitLab centers on .gitlab-ci.yml.                                                               |\n| .gitlab-ci.yml                                                   | azure-pipelines.yml                          | Defines stages/jobs/triggers. Syntax/features differ; map jobs, variables, artifacts, and triggers.                                                                   |\n| Runners (shared/specific)                                        | Agents / Agent Pools                         | Execute jobs on machines/containers. Target via demands (ADO) vs tags (GitLab). Registration/scoping differs.                                                         |\n| CI/CD Variables (project/group/instance), Protected/Masked       | Pipeline Variables, Variable Groups, Library | Pass config/secrets to jobs. GitLab supports group inheritance and masking/protection flags.                                                                          |\n| Integrations, CI/CD Variables, Deploy Keys                       | Service Connections                          | External auth to services/clouds. Map to integrations or variables; cloud-specific helpers available.                                                                 |\n| Environments & Deployments (protected envs)                      | Environments (with approvals)                | Track deploy targets/history. Approvals via protected envs and manual jobs in GitLab.                                                                                 |\n| Releases (tag + notes)                                           | Releases (classic or pipelines)              | Versioned notes/artifacts. GitLab Release ties to tags; deployments tracked separately.                                                                               |\n| Job Artifacts                                                    | Pipeline Artifacts                           | Persist job outputs. Retention/expiry configured per job or project.                                                                                                  |\n| Package Registry (NuGet/npm/Maven/PyPI/Composer, etc.)           | Azure Artifacts (NuGet/npm/Maven, etc.)      | Package hosting. Auth/namespace differ; migrate per package type.                                                                                                     |\n| GitLab Container Registry                                        | Azure Container Registry (ACR) or others     | OCI images. GitLab provides per-project/group registries.                                                                                                             |\n| Issue Boards                                                     | Boards                                       | Visualize work by columns. GitLab boards are label-driven; multiple boards per project/group.                                                                         |\n| Issues (types/labels), Epics                                     | Work Items (User Story/Bug/Task)             | Track units of work. Map ADO types/fields to labels/custom fields; epics at group level.                                                                              |\n| Epics, Parent/Child Issues                                       | Epics/Features                               | Hierarchy of work. Schema differs; use epics + issue relationships.                                                                                                   |\n| Milestones and Iterations                                        | Iteration Paths                              | Time-boxing. GitLab Iterations (group feature) or Milestones per project/group.                                                                                       |\n| Labels (scoped labels)                                           | Area Paths                                   | Categorization/ownership. Replace hierarchical areas with scoped labels.                                                                                              |\n| Project/Group Wiki                                               | Project Wiki                                 | Markdown wiki. Backed by repos in both; layout/auth differ slightly.                                                                                                  |\n| Test reports via CI, Requirements/Test Management, integrations  | Test Plans/Cases/Runs                        | QA evidence/traceability. No 1:1 with ADO Test Plans; often use CI reports + issues/requirements.                                                                     |\n| Roles (Owner/Maintainer/Developer/Reporter/Guest) + custom roles | Access levels + granular permissions         | Control read/write/admin. Models differ; leverage group inheritance and protected resources.                                                                          |\n| Webhooks                                                         | Service Hooks                                | Event-driven integrations. Event names/payloads differ; reconfigure endpoints.                                                                                        |\n| Advanced Search                                                  | Code Search                                  | Full-text repo search. Self-managed GitLab may need Elasticsearch/OpenSearch for advanced features.                                                                   |\n","2025-12-03","2026-01-16","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749658924/Blog/Hero%20Images/securitylifecycle-light.png",[738,739],"Evgeny Rudinsky","Michael Leopard","Guide: Migrate from Azure DevOps to GitLab","Learn how to carry out the full migration from Azure DevOps to GitLab using GitLab Professional Services migration tools — from planning and execution to post-migration follow-up tasks.",{"featured":29,"template":13,"slug":743},"migration-from-azure-devops-to-gitlab",{"promotions":745},[746,760,771],{"id":747,"categories":748,"header":750,"text":751,"button":752,"image":757},"ai-modernization",[749],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":753,"config":754},"Get your AI maturity score",{"href":755,"dataGaName":756,"dataGaLocation":243},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":758},{"src":759},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":761,"categories":762,"header":763,"text":751,"button":764,"image":768},"devops-modernization",[724,556],"Are you just managing tools or shipping innovation?",{"text":765,"config":766},"Get your DevOps maturity score",{"href":767,"dataGaName":756,"dataGaLocation":243},"/assessments/devops-modernization-assessment/",{"config":769},{"src":770},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":772,"categories":773,"header":775,"text":751,"button":776,"image":780},"security-modernization",[774],"security","Are you trading speed for security?",{"text":777,"config":778},"Get your security maturity score",{"href":779,"dataGaName":756,"dataGaLocation":243},"/assessments/security-modernization-assessment/",{"config":781},{"src":782},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":784,"blurb":785,"button":786,"secondaryButton":791},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":787,"config":788},"Get your free trial",{"href":789,"dataGaName":51,"dataGaLocation":790},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":494,"config":792},{"href":55,"dataGaName":56,"dataGaLocation":790},1772652064221]