[{"data":1,"prerenderedAt":792},["ShallowReactive",2],{"/en-us/blog/github-to-gitlab-migration-made-easy":3,"navigation-en-us":40,"banner-en-us":439,"footer-en-us":449,"blog-post-authors-en-us-Fernando Diaz":687,"blog-related-posts-en-us-github-to-gitlab-migration-made-easy":701,"assessment-promotions-en-us":744,"next-steps-en-us":782},{"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":35,"tagSlugs":36,"__hash__":39},"blogPosts/en-us/blog/github-to-gitlab-migration-made-easy.yml","Github To Gitlab Migration Made Easy",[7],"fernando-diaz",null,"devsecops",{"slug":11,"featured":12,"template":13},"github-to-gitlab-migration-made-easy",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"GitHub to GitLab migration the easy way","Learn how easy it is to migrate from GitHub to GitLab using GitLab's project import functionality.",[18],"Fernando Diaz","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668776/Blog/Hero%20Images/julia-craice-faCwTallTC0-unsplash.jpg","2023-07-11","If you are using different CI/CD tools and are considering migrating over to\nGitLab, you may be wondering about the difficulty of the migration process. Migration is usually a concern for [DevSecOps](https://about.gitlab.com/topics/devsecops/) teams when considering a new solution. This is due to the fact that migrating may involve heavy lifting. However, migrating to the GitLab AI-powered DevSecOps\nPlatform can be extremely simple and I will show you how step by step.\n\nIn this blog post, we will go over how to migrate from GitHub to GitLab using our [project import](https://docs.gitlab.com/ee/user/project/import/)\nfunctionality. Manually migrating GitHub Actions to GitLab pipelines will be covered as well. I have also created a video going over the migration process for those who prefer that format:\n\n\u003C!-- blank line -->\n\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/0Id5oMl1Kqs\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\n\u003C!-- blank line -->\n\n## What data can be migrated from GitHub to GitLab?\n\nGitLab's built-in importer allows for GitHub projects to be automatically migrated into GitLab. The built-in importer is accessed directly from GitLab's project creation UI. From the UI, you can select what data you wish to migrate to GitLab.\n\nThe data that can be migrated includes the following:\n\n* Repository description\n\n* Git repository data\n\n* Branch protection rules\n\n* Collaborators (members)\n\n* Issues\n\n* Pull requests\n\n* Wiki pages\n\n* Milestones\n\n* Labels\n\n* Release notes content\n\n* Release notes attachments\n\n* Comment attachments\n\n* Issue description attachments\n\n* Pull request description attachments\n\n* Pull request review comments\n\n* Regular issue and pull request comments\n\n* Git Large File Storage (LFS) objects\n\n* Pull request reviews\n\n* Pull request assigned reviewers\n\n* Pull request “merged by” information\n\n* Pull request comments replies in discussions\n\n* Pull request review comments suggestions\n\n* Issue events and pull requests events\n\nGitHub and GitLab have different naming conventions and concepts, so a mapping must be performed during the migration. For example, when collaborators/members are migrated, roles from GitHub are mapped to the appropriate GitLab roles as follows:\n\n| GitHub role | GitLab role |\n| ----------- | ----------- |\n| Read        | Guest       |\n| Triage      | Reporter    |\n| Write       | Developer   |\n| Maintain    | Maintainer  |\n| Admin       | Owner       |\n\n## Prerequisites\n\nNow that you have an understanding of what can be imported, let's review the prerequisites for performing the migration.\n\nWith the GitLab importer, you can either import your projects from\n**GitHub.com** or **GitHub Enterprise** to either **GitLab.com** or\n**Self-managed GitLab** as long as you meet the following requirements:\n\n* You must be a Maintainer on the GitLab destination group you are importing\nto from GitHub\n\n* Each GitHub author and assignee in the repository must have a\npublic-facing email address on GitHub that matches their GitLab email address\n\n* GitHub accounts must have a public-facing email address that is populated\n\n* [GitHub import\nsource](https://docs.gitlab.com/ee/administration/settings/visibility_and_access_controls.html#configure-allowed-import-sources)\nmust be enabled (Self-managed GitLab only)\n\nWhen migrating a user, GitLab uses the public-facing email address in GitHub to verify the user with the same email on GitLab. Because email ownership is unique, you'll know you have set a valid user with valid permissions.\n\n## Performing the import\n\nNow let's go over how to perform the migration. I will be migrating my project, the [Reddit sentiment analyzer](https://github.com/fishtoadsoft/reddit-sentiment-analyzer), from\nGitHub to GitLab. The Reddit sentiment analyzer contains a pull request (called a merge request in GitLab), issues, and comments.\n\n**Note:** While you may not have permissions to my project, the step-by-step process applies to any project you own. I am using my project so you can see how I migrate GitHub Actions in the next section. Now, let's get started!\n\n1) Create a new project in GitLab using the [Project Creation\nInterface](https://gitlab.com/projects/new).\n\n2) Select the **Import Project** box. This allows you to migrate data from external sources.\n\n![Import project box](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/import_project.png)\n\n3) Under **Import project from**, press the **GitHub** button. This will take you to the **Authenticate with GitHub** page.\n\n4) Press the **Authenticate with GitHub** button. You can also use a [personal access token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens)\nfrom GitHub with the **repo scope** if you prefer. This will take you to the\nGitHub authorization app.\n\n5) From here, you can grant access to [GitHub organization(s)](https://docs.github.com/en/organizations/collaborating-with-groups-in-organizations/about-organizations)\nwhere the projects you wish to migrate are located.\n\n![GitHub authorization app](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/github_authorize_app.png)\n\n6) Press the **Grant** button for the organization where the project you wish to migrate is stored.\n\n7) Press the **Authorize gitlabhq** button to grant GitLab access to the organization(s) selected. You will then be taken to the import selection page.\n\n8) From here, you can select the items you wish to import.\n\n![Import selection](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/import_selection.png)\n\n**Note:** The more items you choose to migrate, the longer the import will take.\n\n9) Then you must set the GitLab location you want to migrate the GitHub project to.\n\n![Set the GitLab location to migrate to](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/import_to.png)\n\n10) Press the **Import** button and the import will begin. You can see the progress in the UI. Once the import is complete the status will be changed to \"complete.\" [Import progress status](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/import_progress.png)\n\nNow you should have the imported project in your workspace. Mine is called [https://gitlab.com/awkwardferny/reddit-sentiment-analyzer](https://gitlab.com/awkwardferny/reddit-sentiment-analyzer).\nWhen examining the imported project, you can see the following:\n\n**Repository has been migrated**\n\n![Repository has been migrated](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/migrated_data.png)\n\n**Issue has been migrated**\n\n![Issue has been migrated](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/migrated_issue.png)\n\n**Merge request has been migrated**\n\n![Merge request has been migrated](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/migrated_merge_request.png)\n\n## Migrating GitHub Actions over to GitLab CI/CD\n\nNow that you have migrated the project over from GitHub, notice that none of the GitHub Actions are running. Don't worry, they are very easy to migrate manually. So let's start the migration process for Actions.\n\n1) Examine the GitHub Actions within the **.github/workflows** folder. In the [project you just imported](https://gitlab.com/awkwardferny/reddit-sentiment-analyzer/-/tree/master/.github/workflows), you should see three different Action files:\n\n#### lint.yml\n\nThis file contains the Action, which performs linting on the source code using flake8. It uses the python:3.10 Docker image and installs the application requirements before performing the lint.\n\n```yaml\nname: \"Lint\"\n\non:\n  push:\n    branches: [ master ]\n  pull_request:\n    branches: [ master ]\n\njobs:\n  lint:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v3\n    - name: Set up Python 3.10\n      uses: actions/setup-python@v4\n      with:\n        python-version: \"3.10\"\n    - name: Install dependencies\n      run: |\n        python -m pip install --upgrade pip\n        pip install flake8 pytest\n        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n    - name: Lint with flake8\n      run: |\n        # stop the build if there are Python syntax errors or undefined names\n        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics\n        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide\n        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics\n```\n\n#### smoke.yml\n\nThis file contains the action which performs a smoke test by just running the CLI help menu. It uses the python:3.10 Docker image and installs the application requirements before performing the smoke test.\n\n```yaml\nname: \"Smoke Tests\"\n\non:\n  push:\n    branches: [ master ]\n  pull_request:\n    branches: [ master ]\n\njobs:\n  smoke-tests:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v3\n    - name: Set up Python 3.10\n      uses: actions/setup-python@v4\n      with:\n        python-version: \"3.10\"\n    - name: Install dependencies\n      run: |\n        python -m pip install --upgrade pip\n        pip install setuptools\n        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n    - name: Install Sentiment Analysis Application\n      run: |\n        python setup.py install\n    - name: Run smoke tests\n      run: |\n        reddit-sentiment --help\n```\n\n#### unit.yml\n\nThis file contains the Action, which performs unit tests using pytest. It uses the python:3.10 Docker image and installs the application requirements running the unit tests.\n\n```yaml\nname: \"Unit Tests\"\n\non:\n  push:\n    branches: [ master ]\n  pull_request:\n    branches: [ master ]\n\njobs:\n  unit-tests:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v3\n    - name: Set up Python 3.10\n      uses: actions/setup-python@v4\n      with:\n        python-version: \"3.10\"\n    - name: Install dependencies\n      run: |\n        python -m pip install --upgrade pip\n        pip install pytest\n        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n    - name: Test with pytest\n      run: |\n        python -m pip install --upgrade pip\n        if [ -f test-requirements.txt ]; then pip install -r test-requirements.txt; fi\n        pytest tests/\n```\n\nNow let's go ahead and migrate these Actions over to GitLab.\n\n2) Go to the recently imported project on GitLab and open up the [WebIDE](https://docs.gitlab.com/ee/user/project/web_ide/).\n\n3) Create a file at the root called [**.gitlab-ci.yml**](https://docs.gitlab.com/ee/ci/yaml/gitlab_ci_yaml.html).\n\nThis file defines the GitLab pipeline.\n\n4) Add the following configuration, which will add the GitHub Actions as\nJobs in the GitLab pipeline. Notice the comments I added describing each section.\n\n```yaml\n# This creates the stages in which the jobs will run. By default all\n# jobs will run in parallel in the stage. Once the jobs are completed\n# successfully then you move on to the next stage. The way jobs run\n# is completely configurable.\nstages:\n  - test\n\n# With the include statement, you can quickly add jobs which have\n# been pre-defined in external YAMLs. The SAST job I included below\n# is provided and maintained by GitLab and adds Static Application\n# Security Testing (SAST) to your pipeline.\ninclude:\n  - template: Jobs/SAST.gitlab-ci.yml\n\n# This is the unit test job which does exactly what is defined in\n# the GitHub Action in unit.yml. You can see it uses the python:3.10\n# Docker image, installs the application dependencies, and then runs\n# the unit tests with pytest. It was added with a simple copy and\n# paste and minor syntax changes.\nunit:\n  image: python:3.10\n  stage: test\n  before_script:\n    - python -m pip install --upgrade pip\n    - pip install pytest\n    - if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n  script:\n    - pytest tests/\n\n# This is the lint job which does exactly what is defined in the\n# GitHub Action in lint.yml. You can see it uses the python:3.10\n# Docker image, installs the application dependencies, and then\n# performs the linting with flake8. It was added with a simple copy\n# and paste and minor syntax changes.\nlint:\n  image: python:3.10\n  stage: test\n  before_script:\n    - python -m pip install --upgrade pip\n    - pip install flake8\n    - if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n  script:\n    - flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics\n    - flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics\n\n# This is the smoke test job which does exactly what is defined in\n# the GitHub Action in smoke.yml. You can see it uses the python:3.10\n# Docker image, installs the application dependencies, and then runs\n# the smoke tests with the Reddit sentiment analysis CLI. It was\n# added with a simple copy and paste and minor syntax changes.\nsmoke:\n  image: python:3.10\n  stage: test\n  before_script:\n    - python -m pip install --upgrade pip\n    - pip install setuptools\n    - if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n    - python setup.py install\n  script:\n    - reddit-sentiment --help\n```\n\nYou can see that scripts being executed in GitLab match those scripts within the GitHub Actions. The only thing that has really changed is the syntax setting up the jobs and stages. To learn more on how to create and configure pipelines, check out the [GitLab CI/CD documentation](https://docs.gitlab.com/ee/ci/).\n\n5) Let's check in the code. From the WebIDE click on the Source Control Tab in the side panel of the WebIDE. It is the [third icon from the top](https://code.visualstudio.com/docs/sourcecontrol/overview#_commit).\nThen press the **Commit to 'main'** button, select **Continue**, and voila, you should now have a running pipeline.\n\n6) Examine the pipeline and make sure the jobs are running properly. Go back to your project and click on the [pipeline](https://docs.gitlab.com/ee/ci/pipelines/) icon. You can see the the four jobs we created have run.\n\n![Four jobs have run](https://about.gitlab.com/images/blogimages/2023-july-github-to-gitlab-migration/gitlab_jobs.png)\n\n7) Click on the **Unit** job and you can see that the unit tests were run successfully.\n\n```bash\n$ pytest tests/\n============================= test session starts\n==============================\nplatform linux -- Python 3.10.11, pytest-7.3.1, pluggy-1.0.0\nrootdir: /builds/awkwardferny/reddit-sentiment-analyzer\ncollected 2 items\ntests/test_scraper.py ..\n[100%]\n============================== 2 passed in 0.09s\n===============================\nCleaning up project directory and file based variables\n00:00\nJob succeeded\n```\n\nAnd that's how simple it is to migrate a project over from GitHub to GitLab!\n\n## What other platforms can GitLab import from?\n\nThe GitLab importer allows one-click migration from several other platforms.\nThese platforms include:\n\n* [Bitbucket\nCloud](https://docs.gitlab.com/ee/user/project/import/bitbucket.html)\n\n* [Bitbucket Server\n(Stash)](https://docs.gitlab.com/ee/user/project/import/bitbucket_server.html)\n\n* [FogBugz](https://docs.gitlab.com/ee/user/project/import/fogbugz.html)\n\n* [Gitea](https://docs.gitlab.com/ee/user/project/import/gitea.html)\n\n* [Repository by\nURL](https://docs.gitlab.com/ee/user/project/import/repo_by_url.html)\n\n* [Uploading a manifest file\n(AOSP)](https://docs.gitlab.com/ee/user/project/import/manifest.html)\n\n* [Jira (issues\nonly)](https://docs.gitlab.com/ee/user/project/import/jira.html)\n\nWe also have documentation covering how to migrate from these platforms:\n\n* [SVN](https://docs.gitlab.com/ee/user/project/import/#import-from-subversion)\n\n* [ClearCase](https://docs.gitlab.com/ee/user/project/import/clearcase.html)\n\n* [CVS](https://docs.gitlab.com/ee/user/project/import/cvs.html)\n\n* [Perforce](https://docs.gitlab.com/ee/user/project/import/perforce.html)\n\n* [TFVC](https://docs.gitlab.com/ee/user/project/import/tfvc.html)\n\n---\n\nThanks for reading! Now you know how easy it is to migrate from GitHub over to GitLab. For more information on GitLab and migrating from GitHub, follow the links below:\n\n* [GitHub-to-GitLab project migration\ndocumentation](https://docs.gitlab.com/ee/user/project/import/github.html)\n\n* [Available project\nimporters](https://docs.gitlab.com/ee/user/project/import/#available-project-importers)\n\n* [GitHub-to-GitLab migration video](https://youtu.be/0Id5oMl1Kqs)\n\nAlso, read how GitLab has been named a leader in the DevOps platforms space by [Gartner](https://about.gitlab.com/blog/gitlab-leader-gartner-magic-quadrant-devops-platforms/)\nand the integrated software delivery platforms space by [Forrester](https://about.gitlab.com/blog/gitlab-leader-forrester-wave-integrated-software-delivery-platforms/).\n\n_Cover image by [Julia\nCraice](https://unsplash.com/@jcraice?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)\non 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code is 34% of development work. Discover how to balance productivity gains with quality, reliability, and security.",[706],"Manav Khurana","https://res.cloudinary.com/about-gitlab-com/image/upload/v1767982271/e9ogyosmuummq7j65zqg.png","2026-01-08","AI is reshaping DevSecOps: Attend GitLab Transcend to see what’s next","AI promises a step change in innovation velocity, but most software teams are hitting a wall. According to our latest [Global DevSecOps Report](https://about.gitlab.com/developer-survey/), AI-generated code now accounts for 34% of all development work. Yet 70% of DevSecOps professionals report that AI is making compliance management more difficult, and 76% say agentic AI will create unprecedented security challenges.\n\nThis is the AI paradox: AI accelerates coding, but software delivery slows down as teams struggle to test, secure, and deploy all that code.\n\n## Productivity gains meet workflow bottlenecks\nThe problem isn't AI itself. It's how software gets built today. The traditional DevSecOps lifecycle contains hundreds of small tasks that developers must navigate manually: updating tickets, running tests, requesting reviews, waiting for approvals, fixing merge conflicts, addressing security findings. These tasks drain an average of seven hours per week from every team member, according to our research.\n\nDevelopment teams are producing code faster than ever, but that code still crawls through fragmented toolchains, manual handoffs, and disconnected processes. In fact, 60% of DevSecOps teams use more than five tools for software development overall, and 49% use more than five AI tools. This fragmentation creates collaboration barriers, with 94% of DevSecOps professionals experiencing factors that limit collaboration in the software development lifecycle.\n\nThe answer isn't more tools. It's intelligent orchestration that brings software teams and their AI agents together across projects and release cycles, with enterprise-grade security, governance, and compliance built in.\n\n## Seeking deeper human-AI partnerships\nDevSecOps professionals don't want AI to take over — they want reliable partnerships. The vast majority (82%) say using agentic AI would increase their job satisfaction, and 43% envision an ideal future with a 50/50 split between human and AI contributions. They're ready to trust AI with 37% of their daily tasks without human review, particularly for documentation, test writing, and code reviews.\n\nWhat we heard resoundingly from DevSecOps professionals is that AI won't replace them; rather, it will fundamentally reshape their roles. 83% of DevSecOps professionals believe AI will significantly change their work within five years, and notably, 76% think this will create more engineering jobs, not fewer. As coding becomes easier with AI, engineers who can architect systems, ensure quality, and apply business context will be in high demand.\n\nCritically, 88% agree there are essential human qualities that AI will never fully replace, including creativity, innovation, collaboration, and strategic vision.\n\nSo how can organizations bridge the gap between AI’s promise and the reality of fragmented workflows?\n\n## Join us at GitLab Transcend: Explore how to drive real value with agentic AI\nOn February 10, 2026, GitLab will be hosting Transcend, where we'll reveal how intelligent orchestration transforms AI-powered software development. You'll get a first look at GitLab's upcoming product roadmap and learn how teams are solving real-world challenges by modernizing development workflows with AI.\n\nOrganizations winning in this new era balance AI adoption with security, compliance, and platform consolidation. AI offers genuine productivity gains when implemented thoughtfully — not by replacing human developers, but by freeing DevSecOps professionals to focus on strategic thinking and creative innovation.\n\n[Register for Transcend today](https://about.gitlab.com/events/transcend/virtual/) to secure your spot and discover how intelligent orchestration can help your software teams stay in flow.",[712,713,714],"AI/ML","DevOps platform","security",{"featured":29,"template":13,"slug":716},"ai-is-reshaping-devsecops-attend-gitlab-transcend-to-see-whats-next",{"content":718,"config":729},{"title":719,"description":720,"authors":721,"heroImage":723,"date":724,"body":725,"category":9,"tags":726},"Atlassian ending Data Center as GitLab maintains deployment choice","As Atlassian transitions Data Center customers to cloud-only, GitLab presents a menu of deployment choices that map to business needs.",[722],"Emilio Salvador","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098354/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%281%29_5XrohmuWBNuqL89BxVUzWm_1750098354056.png","2025-10-07","Change is never easy, especially when it's not your choice. Atlassian's announcement that [all Data Center products will reach end-of-life by March 28, 2029](https://www.atlassian.com/blog/announcements/atlassian-ascend), means thousands of organizations must now reconsider their DevSecOps deployment and infrastructure. But you don't have to settle for deployment options that don't fit your needs. GitLab maintains your freedom to choose — whether you need self-managed for compliance, cloud for convenience, or hybrid for flexibility — all within a single AI-powered DevSecOps platform that respects your requirements.\n\nWhile other vendors force migrations to cloud-only architectures, GitLab remains committed to supporting the deployment choices that match your business needs. Whether you're managing sensitive government data, operating in air-gapped environments, or simply prefer the control of self-managed deployments, we understand that one size doesn't fit all.\n\n## The cloud isn't the answer for everyone\n\nFor the many companies that invested millions of dollars in Data Center deployments, including those that migrated to Data Center [after its Server products were discontinued](https://about.gitlab.com/blog/atlassian-server-ending-move-to-a-single-devsecops-platform/), this announcement represents more than a product sunset. It signals a fundamental shift away from customer-centric architecture choices, forcing enterprises into difficult positions: accept a deployment model that doesn't fit their needs, or find a vendor that respects their requirements.\n\nMany of the organizations requiring self-managed deployments represent some of the world's most important organizations: healthcare systems protecting patient data, financial institutions managing trillions in assets, government agencies safeguarding national security, and defense contractors operating in air-gapped environments.\n\nThese organizations don't choose self-managed deployments for convenience; they choose them for compliance, security, and sovereignty requirements that cloud-only architectures simply cannot meet. Organizations operating in closed environments with restricted or no internet access aren't exceptions — they represent a significant portion of enterprise customers across various industries.\n\n![GitLab vs. Atlassian comparison table](https://res.cloudinary.com/about-gitlab-com/image/upload/v1759928476/ynl7wwmkh5xyqhszv46m.jpg)\n\n## The real cost of forced cloud migration goes beyond dollars\n\nWhile cloud-only vendors frame mandatory migrations as \"upgrades,\" organizations face substantial challenges beyond simple financial costs:\n\n* **Lost integration capabilities:** Years of custom integrations with legacy systems, carefully crafted workflows, and enterprise-specific automations become obsolete. Organizations with deep integrations to legacy systems often find cloud migration technically infeasible.\n\n* **Regulatory constraints:** For organizations in regulated industries, cloud migration isn't just complex — it's often not permitted. Data residency requirements, air-gapped environments, and strict regulatory frameworks don't bend to vendor preferences. The absence of single-tenant solutions in many cloud-only approaches creates insurmountable compliance barriers.\n\n* **Productivity impacts:** Cloud-only architectures often require juggling multiple products: separate tools for planning, code management, CI/CD, and documentation. Each tool means another context switch, another integration to maintain, another potential point of failure. GitLab research shows [30% of developers spend at least 50% of their job maintaining and/or integrating their DevSecOps toolchain](https://about.gitlab.com/developer-survey/). Fragmented architectures exacerbate this challenge rather than solving it.\n\n## GitLab offers choice, commitment, and consolidation\n\nEnterprise customers deserve a trustworthy technology partner. That's why we've committed to supporting a range of deployment options — whether you need on-premises for compliance, hybrid for flexibility, or cloud for convenience, the choice remains yours. That commitment continues with [GitLab Duo](https://about.gitlab.com/gitlab-duo/), our AI solution that supports developers at every stage of their workflow.\n\nBut we offer more than just deployment flexibility. While other vendors might force you to cobble together their products into a fragmented toolchain, GitLab provides everything in a **comprehensive AI-native DevSecOps platform**. Source code management, CI/CD, security scanning, Agile planning, and documentation are all managed within a single application and a single vendor relationship.\n\nThis isn't theoretical. When Airbus and [Iron Mountain](https://about.gitlab.com/customers/iron-mountain/) evaluated their existing fragmented toolchains, they consistently identified challenges: poor user experience, missing functionalities like built-in security scanning and review apps, and management complexity from plugin troubleshooting. **These aren't minor challenges; they're major blockers for modern software delivery.**\n\n## Your migration path: Simpler than you think\n\nWe've helped thousands of organizations migrate from other vendors, and we've built the tools and expertise to make your transition smooth:\n\n* **Automated migration tools:** Our [Bitbucket Server importer](https://docs.gitlab.com/user/project/import/bitbucket_server/) brings over repositories, pull requests, comments, and even Large File Storage (LFS) objects. For Jira, our [built-in importer](https://docs.gitlab.com/user/project/import/jira/) handles issues, descriptions, and labels, with professional services available for complex migrations.\n\n* **Proven at scale:** A 500 GiB repository with 13,000 pull requests, 10,000 branches, and 7,000 tags is likely to [take just 8 hours to migrate](https://docs.gitlab.com/user/project/import/bitbucket_server/) from Bitbucket to GitLab using parallel processing.\n\n* **Immediate ROI:** A [Forrester Consulting Total Economic Impact™ study commissioned by GitLab](https://about.gitlab.com/resources/study-forrester-tei-gitlab-ultimate/) found that investing in GitLab Ultimate confirms these benefits translate to real bottom-line impact, with a three-year 483% ROI, 5x time saved in security related activities, and 25% savings in software toolchain costs.\n\n## Start your journey to a unified DevSecOps platform\n\nForward-thinking organizations aren't waiting for vendor-mandated deadlines. They're evaluating alternatives now, while they have time to migrate thoughtfully to platforms that protect their investments and deliver on promises.\n\nOrganizations invest in self-managed deployments because they need control, compliance, and customization. When vendors deprecate these capabilities, they remove not just features but the fundamental ability to choose environments matching business requirements.\n\nModern DevSecOps platforms should offer complete functionality that respects deployment needs, consolidates toolchains, and accelerates software delivery, without forcing compromises on security or data sovereignty.\n\n[Talk to our sales team](https://about.gitlab.com/sales/) today about your migration options, or explore our [comprehensive migration resources](https://about.gitlab.com/move-to-gitlab-from-atlassian/) to see how thousands of organizations have already made the switch.\n\nYou also can [try GitLab Ultimate with GitLab Duo Enterprise](https://about.gitlab.com/free-trial/devsecops/) for free for 30 days to see what a unified DevSecOps platform can do for your organization.",[560,25,727,728],"product","features",{"featured":29,"template":13,"slug":730},"atlassian-ending-data-center-as-gitlab-maintains-deployment-choice",{"content":732,"config":742},{"title":733,"description":734,"authors":735,"heroImage":738,"date":739,"category":9,"tags":740,"body":741},"Why financial services choose single-tenant SaaS","Discover how GitLab Dedicated can help financial services organizations achieve compliant DevSecOps without compromising performance.",[736,737],"George Kichukov","Allie Holland","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662023/Blog/Hero%20Images/display-dedicated-for-government-article-image-0679-1800x945-fy26.png","2025-08-14",[614,713],"Walk into any major financial institution and you'll see the contradiction immediately. Past the armed guards, through the biometric scanners, beyond the reinforced walls and multiple security checkpoints, you'll find developers building the algorithms that power global finance — on shared infrastructure alongside millions of strangers.\n\nThe software powering today's financial institutions is anything but ordinary. It includes credit risk models that protect billions in assets, payment processing algorithms handling millions of transactions, customer intelligence platforms that drive business strategy, and regulatory systems ensuring operational compliance  — all powered by source code that serves as both operational core and strategic asset.\n\n## When shared infrastructure becomes systemic risk\n\nThe rise of software-as-a-service platforms has created an uncomfortable reality for financial institutions. Every shared tenant becomes an unmanaged third-party risk, turning platform-wide incidents into industry-wide disruptions. This is the exact kind of concentration risk drawing increasing attention from regulators.\n\nJPMorgan Chase's Chief Information Security Officer Patrick Opet recently issued a stark warning to the industry in an [open letter](https://www.jpmorgan.com/technology/technology-blog/open-letter-to-our-suppliers) to third-party suppliers. He highlighted how SaaS adoption \"is creating a substantial vulnerability that is weakening the global economic system\" by embedding \"concentration risk into global critical infrastructure.\" The letter emphasizes that \"an attack on one major SaaS or PaaS provider can immediately ripple through its customers,” creating exactly the systemic risk that multi-tenant cloud platforms for source code management, CI builds, CD deployments, and security scanning introduce.\n\nConsider the regulatory complexity this creates. In shared environments, your compliance posture becomes hostage to potential incidents impacting other tenants as well as the concentration risks of large attack surface providers. A misconfiguration affecting any organization on the platform can trigger wider impact across the entire ecosystem. \n\nData sovereignty challenges compound this risk. Shared platforms distribute workloads across multiple regions and jurisdictions, often without granular control over where your source code executes. For institutions operating under strict regulatory requirements, this geographic distribution can create compliance gaps that are difficult to remediate.\n\nThen there's the amplification effect. Every shared tenant effectively becomes an indirect third-party risk to your operations. Their vulnerabilities increase your attack surface. Their incidents can impact your availability. Their compromises can affect your environment.\n\n## Purpose-built for what matters most\n\nGitLab recognizes that your source code deserves the same security posture as your most sensitive customer data. Rather than forcing you to choose between cloud-scale efficiency and enterprise-grade security, GitLab delivers both through [GitLab Dedicated](https://about.gitlab.com/dedicated/), purpose-built infrastructure that maintains complete isolation.\n\nYour development workflows, source code [repositories](https://docs.gitlab.com/user/project/repository/), and [CI/CD pipelines](https://docs.gitlab.com/ci/pipelines/) run in an environment exclusively dedicated to your organization. The [hosted runners](https://docs.gitlab.com/administration/dedicated/hosted_runners/) for GitLab Dedicated exemplify this approach. These runners connect securely to your data center through outbound private links, allowing access to your private services without exposing any traffic to the public internet. The [auto-scaling architecture](https://docs.gitlab.com/runner/runner_autoscale/) provides the performance you need, without compromising security or control. \n \n## Rethinking control\n\nFor financial institutions, minimizing shared risk is only part of the equation — true resilience requires precise control over how systems operate, scale, and comply with regulatory frameworks. GitLab Dedicated enables comprehensive data sovereignty through multiple layers of customer control. You maintain complete authority over [encryption keys](https://docs.gitlab.com/administration/dedicated/encryption/#encrypted-data-at-rest) through [bring-your-own-key (BYOK)](https://docs.gitlab.com/administration/dedicated/encryption/#bring-your-own-key-byok) capabilities, ensuring that sensitive source code and configuration data remains accessible only to your organization. Even GitLab cannot access your encrypted data without your keys.\n\n[Data residency](https://docs.gitlab.com/subscriptions/gitlab_dedicated/data_residency_and_high_availability/) becomes a choice rather than a constraint. You select your preferred AWS region to meet regulatory requirements and organizational data governance policies, maintaining full control over where your sensitive source code and intellectual property are stored.\n\nThis control extends to [compliance frameworks](https://docs.gitlab.com/user/compliance/compliance_frameworks/) that financial institutions require. The platform provides [comprehensive audit trails](https://docs.gitlab.com/user/compliance/audit_events/) and logging capabilities that support compliance efforts for financial services regulations like [Sarbanes-Oxley](https://about.gitlab.com/compliance/sox-compliance/) and [GLBA Safeguards Rule](https://www.ftc.gov/business-guidance/privacy-security/gramm-leach-bliley-act).\n\nWhen compliance questions arise, you work directly with GitLab's dedicated support team — experienced professionals who understand the regulatory challenges that organizations in highly regulated industries face.\n\n## Operational excellence without operational overhead\n\nGitLab Dedicated maintains [high availability](https://docs.gitlab.com/subscriptions/gitlab_dedicated/data_residency_and_high_availability/) with [built-in disaster recovery](https://docs.gitlab.com/subscriptions/gitlab_dedicated/), ensuring your development operations remain resilient even during infrastructure failures. The dedicated resources scale with your organization's needs without the performance variability that shared environments introduce.\n\nThe [zero-maintenance approach](https://docs.gitlab.com/subscriptions/gitlab_dedicated/maintenance/) to CI/CD infrastructure eliminates a significant operational burden. Your teams focus on development while GitLab manages the underlying infrastructure, auto-scaling, and maintenance — including rapid security patching to protect your critical intellectual property from emerging threats. This operational efficiency doesn't come at the cost of security: the dedicated infrastructure provides enterprise-grade controls while delivering cloud-scale performance.\n\n## The competitive reality\n\nWhile some institutions debate infrastructure strategies, industry leaders are taking decisive action. [NatWest Group](https://about.gitlab.com/press/releases/2022-11-30-gitlab-dedicated-launches-to-meet-complex-compliance-requirements/), one of the UK's largest financial institutions, chose GitLab Dedicated to transform their engineering capabilities:\n\n> *\"NatWest Group is adopting GitLab Dedicated to enable our engineers to use a common cloud engineering platform; delivering new customer outcomes rapidly, frequently and securely with high quality, automated testing, on demand infrastructure and straight-through deployment. This will significantly enhance collaboration, improve developer productivity and unleash creativity via a 'single-pane-of-glass' for software development.\"*\n>\n> **Adam Leggett**, Platform Lead - Engineering Platforms, NatWest\n\n## The strategic choice\n\nThe most successful financial institutions face a unique challenge: They have the most to lose from shared infrastructure risks, but also the resources to architect better solutions. \n\n**The question that separates industry leaders from followers:** Will you accept shared infrastructure risks as the price of digital transformation, or will you invest in infrastructure that treats your source code with the strategic importance it deserves?\n\nYour trading algorithms aren't shared. Your risk models aren't shared. Your customer data isn't shared.\n\n**Why is your development platform shared?**\n\n*Ready to treat your source code like the strategic asset it is? [Let’s chat](https://about.gitlab.com/solutions/finance/) about how GitLab Dedicated provides the security, compliance, and performance that financial institutions demand — without the compromises of shared infrastructure.*",{"featured":12,"template":13,"slug":743},"why-financial-services-choose-single-tenant-saas",{"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",[727,9],"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":774,"text":751,"button":775,"image":779},"security-modernization",[714],"Are you trading speed for security?",{"text":776,"config":777},"Get your security maturity score",{"href":778,"dataGaName":756,"dataGaLocation":243},"/assessments/security-modernization-assessment/",{"config":780},{"src":781},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":783,"blurb":784,"button":785,"secondaryButton":790},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":786,"config":787},"Get your free trial",{"href":788,"dataGaName":51,"dataGaLocation":789},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":495,"config":791},{"href":55,"dataGaName":56,"dataGaLocation":789},1772652068508]