[{"data":1,"prerenderedAt":818},["ShallowReactive",2],{"/en-us/blog/gitlab-provides-small-business-with-a-professional-mature-devops-platform":3,"navigation-en-us":41,"banner-en-us":451,"footer-en-us":461,"blog-post-authors-en-us-Esther Shein":699,"blog-related-posts-en-us-gitlab-provides-small-business-with-a-professional-mature-devops-platform":713,"blog-promotions-en-us":756,"next-steps-en-us":808},{"id":4,"title":5,"authorSlugs":6,"authors":8,"body":10,"category":11,"categorySlug":11,"config":12,"content":16,"date":20,"description":17,"extension":25,"externalUrl":26,"featured":14,"heroImage":19,"isFeatured":14,"meta":27,"navigation":28,"path":29,"publishedDate":20,"rawbody":30,"seo":31,"slug":13,"stem":35,"tagSlugs":36,"tags":39,"template":15,"updatedDate":26,"__hash__":40},"blogPosts/en-us/blog/gitlab-provides-small-business-with-a-professional-mature-devops-platform.yml","GitLab provides small business with a professional, mature DevOps platform",[7],"esther-shein",[9],"Esther Shein","\nBlonk is an international leader in the field of environmental and sustainability research in the agri-food sector. But as a small business without a QA team or a security team, the challenge was figuring out how to deliver professional software with only a few developers.\n\n[Blonk](https://blonksustainability.nl) used an external company to help set up what Bart Durlinger, product development manager, and software devevloper Pieter van de Vijver envisioned as its platform at the time. “They set up an environment on Amazon, a separate built server, a separate repository, and then some scripts in between to link it all together,” Durlinger recalls. “But when we decided to take more control, that was just too complex. We had too many different parts in many different places. We didn't have the capacity at the time to really oversee how this should all work together.”\n\nThat's when the Blonk team started looking for platforms that offered a more integrated approach, with project management, CI/CD, repository, and version control features all in one place.\n\n## Mature, with a modern vision of software development\n\nBlonk turned to GitLab after finding that the platform “had a lot of the things you need to have a professional delivery pipeline integrated into one solution,\" says Durlinger. At the time, the consultancy was using GitHub, which was more expensive, he says.\n\nWhen Blonk started with GitLab, the platform was free, which was a big factor in its selection, van de Vijver says. “But it was also an up-and-coming startup with a vision of that CI/CD integration built into how you envisioned the whole service itself,\" he says. “GitHub was more of a repository that might provide you with those things, but it required more manual setup.”\n\n\nBlonk liked that GitLab was a mature and stable solution “but still new enough to have a vision of how software is approached nowadays with easy setup and an integrated pipeline by default, and useful branching strategies by which you could support a multi-level, multi-stage deployment process easily,\" Van de Vijver says.\n\nAt the time Van de Vijver was the only one at Blonk with a background as a software developer, and another bonus was his familiarity with all the tools in GitLab. “By using GitLab, we could hit the ground running, and keep the scale small. You don't have to worry about all kinds of CI/CD operations and integrations and the configuration of that but use it just out of the box,” he says.\n\n## How Blonk is utilizing GitLab today\n\nCurrently, Blonk has 38 GitLab premium licenses, about half of which are used by software developers. The rest are used by data scientists, consultants, project managers, and others, so there are different ways the platform is utilized within the company; that also means there are different levels of software literacy but that hasn’t been an issue. The software development team has been onboarding very junior developers over the past couple of months, and “never have I had questions of how to do stuff in GitLab, because the platform is very intuitive,” Durlinger says.\n\nThe software development team has been integrated further into the core business, which also fits nicely with GitLab’s services, including the milestones Blonk uses as well as its repositories and project management strategies. “Also data scientists and methodology developers are now using GitLab projects for the project planning sometimes,” Durlinger notes.\n\nGitLab provided Blonk with a professional software environment for their developers. GitLab also lets the team use pre-built Docker images and a private Python package repository in their CI/CD pipelines, which means faster build times and easy integration, according to Durlinger. “That's a huge change because then we can distribute the work over multiple teams that can work independently on projects,” he says.\n\nThe platform’s automation features have also improved operational efficiency. “We don't need to communicate with external parties, or do any manual steps if we make code changes. We now are in control of managing our software and infrastructure deployment via CDK and gitlab-ci scripts, which makes it fully automated,” Durlinger explains.\n\nIn the project planning stage, Blonk is using GitLab issue templates to define issues, “and that also has really improved the quality of how we define issues to start with,\" Durlinger adds. Blonk has reaped huge benefits from the Agile capabilities of GitLab to plan, manage and monitor their workflows.\n\nBlonk now has improved transparency and collaboration amongst their teams, and they are using the GitLab Wiki to build an internal knowledge base to optimize productivity and accelerate new developer onboarding.\n\nGitLab has supported the scaling of the developer team from 2 to now 16 developers, going from a single team to 3 software teams and a data science team, all using the One DevOps Platform bringing a much needed single DevOps workflow. Blonk is using the package registry, Docker integration with GitLab, and each team now deploys microservices on AWS. Teams are facilitated via GitLab with enhanced communication and a robust feedback loop.\n\nProbably the biggest selling point of the platform is that it offers an integrated environment of all solutions related to code management and deployment – from container services to package registry services – everything Blonk wants to use in a pipeline and be able to manage privately, according to Durlinger. The fact that Blonk no longer has to use multiple tools in an ad hoc manner is another benefit.\n\n“What’s really nice is that our non-code artifacts live together with the code,\" Durlinger notes. “Our designs, methodology documents, and prototypes developed by data scientists can all be part of our Gitlab projects. This has improved workflow throughout the organization,” he says.\n\n## Looking ahead\n\n“As Blonk continues its business transformation, GitLab is helping the company maintain its reputation as a reliable and honest company,” Durlinger says. GitLab has added value to their employer brand and makes them more attractive to new developers to join: “It demonstrates that we have a professional environment for software engineers.”\n\nBlonk’s goal is to improve sustainability performance analysis, and ensure that the tools they are building have the same integrity and quality. “GitLab enables us to do this by having a professional project creation pipeline in place,\" Durlinger says.\n","devsecops",{"slug":13,"featured":14,"template":15},"gitlab-provides-small-business-with-a-professional-mature-devops-platform",false,"BlogPost",{"title":5,"description":17,"authors":18,"heroImage":19,"date":20,"body":10,"category":11,"tags":21},"Blonk had a small team but a big need for professional software development. Here's how GitLab helped.",[9],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668272/Blog/Hero%20Images/blonklogo.png","2022-05-19",[22,23,24],"DevOps","customers","CI/CD","yml",null,{},true,"/en-us/blog/gitlab-provides-small-business-with-a-professional-mature-devops-platform","seo:\n  title: GitLab provides small business with a professional, mature DevOps platform\n  description: >-\n    Blonk had a small team but a big need for professional software development.\n    Here's how GitLab helped.\n  ogTitle: GitLab provides small business with a professional, mature DevOps platform\n  ogDescription: >-\n    Blonk had a small team but a big need for professional software development.\n    Here's how GitLab helped.\n  noIndex: false\n  ogImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668272/Blog/Hero%20Images/blonklogo.png\n  ogUrl: >-\n    https://about.gitlab.com/blog/gitlab-provides-small-business-with-a-professional-mature-devops-platform\n  ogSiteName: https://about.gitlab.com\n  ogType: article\n  canonicalUrls: >-\n    https://about.gitlab.com/blog/gitlab-provides-small-business-with-a-professional-mature-devops-platform\ncontent:\n  title: GitLab provides small business with a professional, mature DevOps platform\n  description: >-\n    Blonk had a small team but a big need for professional software development.\n    Here's how GitLab helped.\n  authors:\n    - Esther Shein\n  heroImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668272/Blog/Hero%20Images/blonklogo.png\n  date: '2022-05-19'\n  body: \"\n\n    Blonk is an international leader in the field of environmental and\n    sustainability research in the agri-food sector. But as a small business\n    without a QA team or a security team, the challenge was figuring out how to\n    deliver professional software with only a few developers.\n\n\n    [Blonk](https://blonksustainability.nl) used an external company to help set\n    up what Bart Durlinger, product development manager, and software devevloper\n    Pieter van de Vijver envisioned as its platform at the time. “They set up an\n    environment on Amazon, a separate built server, a separate repository, and\n    then some scripts in between to link it all together,” Durlinger recalls.\n    “But when we decided to take more control, that was just too complex. We had\n    too many different parts in many different places. We didn't have the\n    capacity at the time to really oversee how this should all work together.”\n\n\n    That's when the Blonk team started looking for platforms that offered a more\n    integrated approach, with project management, CI/CD, repository, and version\n    control features all in one place.\n\n\n    ## Mature, with a modern vision of software development\n\n\n    Blonk turned to GitLab after finding that the platform “had a lot of the\n    things you need to have a professional delivery pipeline integrated into one\n    solution,\\\" says Durlinger. At the time, the consultancy was using GitHub,\n    which was more expensive, he says.\n\n\n    When Blonk started with GitLab, the platform was free, which was a big\n    factor in its selection, van de Vijver says. “But it was also an\n    up-and-coming startup with a vision of that CI/CD integration built into how\n    you envisioned the whole service itself,\\\" he says. “GitHub was more of a\n    repository that might provide you with those things, but it required more\n    manual setup.”\n\n\n\n    Blonk liked that GitLab was a mature and stable solution “but still new\n    enough to have a vision of how software is approached nowadays with easy\n    setup and an integrated pipeline by default, and useful branching strategies\n    by which you could support a multi-level, multi-stage deployment process\n    easily,\\\" Van de Vijver says.\n\n\n    At the time Van de Vijver was the only one at Blonk with a background as a\n    software developer, and another bonus was his familiarity with all the tools\n    in GitLab. “By using GitLab, we could hit the ground running, and keep the\n    scale small. You don't have to worry about all kinds of CI/CD operations and\n    integrations and the configuration of that but use it just out of the box,”\n    he says.\n\n\n    ## How Blonk is utilizing GitLab today\n\n\n    Currently, Blonk has 38 GitLab premium licenses, about half of which are\n    used by software developers. The rest are used by data scientists,\n    consultants, project managers, and others, so there are different ways the\n    platform is utilized within the company; that also means there are different\n    levels of software literacy but that hasn’t been an issue. The software\n    development team has been onboarding very junior developers over the past\n    couple of months, and “never have I had questions of how to do stuff in\n    GitLab, because the platform is very intuitive,” Durlinger says.\n\n\n    The software development team has been integrated further into the core\n    business, which also fits nicely with GitLab’s services, including the\n    milestones Blonk uses as well as its repositories and project management\n    strategies. “Also data scientists and methodology developers are now using\n    GitLab projects for the project planning sometimes,” Durlinger notes.\n\n\n    GitLab provided Blonk with a professional software environment for their\n    developers. GitLab also lets the team use pre-built Docker images and a\n    private Python package repository in their CI/CD pipelines, which means\n    faster build times and easy integration, according to Durlinger. “That's a\n    huge change because then we can distribute the work over multiple teams that\n    can work independently on projects,” he says.\n\n\n    The platform’s automation features have also improved operational\n    efficiency. “We don't need to communicate with external parties, or do any\n    manual steps if we make code changes. We now are in control of managing our\n    software and infrastructure deployment via CDK and gitlab-ci scripts, which\n    makes it fully automated,” Durlinger explains.\n\n\n    In the project planning stage, Blonk is using GitLab issue templates to\n    define issues, “and that also has really improved the quality of how we\n    define issues to start with,\\\" Durlinger adds. Blonk has reaped huge\n    benefits from the Agile capabilities of GitLab to plan, manage and monitor\n    their workflows.\n\n\n    Blonk now has improved transparency and collaboration amongst their teams,\n    and they are using the GitLab Wiki to build an internal knowledge base to\n    optimize productivity and accelerate new developer onboarding.\n\n\n    GitLab has supported the scaling of the developer team from 2 to now 16\n    developers, going from a single team to 3 software teams and a data science\n    team, all using the One DevOps Platform bringing a much needed single DevOps\n    workflow. Blonk is using the package registry, Docker integration with\n    GitLab, and each team now deploys microservices on AWS. Teams are\n    facilitated via GitLab with enhanced communication and a robust feedback\n    loop.\n\n\n    Probably the biggest selling point of the platform is that it offers an\n    integrated environment of all solutions related to code management and\n    deployment – from container services to package registry services –\n    everything Blonk wants to use in a pipeline and be able to manage privately,\n    according to Durlinger. The fact that Blonk no longer has to use multiple\n    tools in an ad hoc manner is another benefit.\n\n\n    “What’s really nice is that our non-code artifacts live together with the\n    code,\\\" Durlinger notes. “Our designs, methodology documents, and prototypes\n    developed by data scientists can all be part of our Gitlab projects. This\n    has improved workflow throughout the organization,” he says.\n\n\n    ## Looking ahead\n\n\n    “As Blonk continues its business transformation, GitLab is helping the\n    company maintain its reputation as a reliable and honest company,” Durlinger\n    says. GitLab has added value to their employer brand and makes them more\n    attractive to new developers to join: “It demonstrates that we have a\n    professional environment for software engineers.”\n\n\n    Blonk’s goal is to improve sustainability performance analysis, and ensure\n    that the tools they are building have the same integrity and quality.\n    “GitLab enables us to do this by having a professional project creation\n    pipeline in place,\\\" Durlinger says.\\n\"\n  category: devsecops\n  tags:\n    - DevOps\n    - customers\n    - CI/CD\nconfig:\n  slug: gitlab-provides-small-business-with-a-professional-mature-devops-platform\n  featured: false\n  template: 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software development the easy way using GitLab","Learn how University of Washington lecturer Stephen G. Dame uses GitLab for Education to manage student assignments, distribute course materials, and provide inline code feedback at scale.\n",[719],"Rod Burns","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659537/Blog/Hero%20Images/display-article-image-0679-1800x945-fy26.png","2026-04-29","For instructors teaching software development, one of the biggest logistical challenges is assignment distribution and feedback at scale. How do you give large groups of students access to course materials, keep solution code private, and still deliver meaningful, contextual feedback without lots of administrative overhead?\n\nThe **[GitLab for Education program](https://about.gitlab.com/solutions/education/)** provides qualifying institutions with free access to **GitLab Ultimate**, enabling instructors to build professional-grade workflows that mirror real-world software development environments. In this article, you'll learn how Stephen G. Dame, a lecturer in the Computing and Software Systems department at the University of Washington, Bothell, uses simple workflows in GitLab to manage everything from course materials to student feedback across multiple classes.\n\n## From aerospace to academia: Bringing GitLab to the classroom\n\nDame came to academia with years of experience as a chief software engineer at Boeing Commercial Airplanes, where GitLab was used for aerospace projects. As an adjunct professor, he became an early advocate for GitLab within the university, joining the GitLab for Education program to access the full feature set needed to run structured, scalable course workflows.\n\n> **\"GitLab provides the greatest way to organize multiple classes, student assignments, lectures, and code samples through the use of Groups and Subgroups, which I found to be unique to GitLab compared to other repository platforms.\"**\n>\n> - Stephen G. Dame, University of Washington, Bothell\n\n## Set up groups: Build the right structure before writing a line of code\n\nThe foundation of an effective GitLab-based course is a well-planned group hierarchy. GitLab's **[Groups and Subgroups](https://docs.gitlab.com/tutorials/manage_user/#create-the-organization-parent-group-and-subgroups)** allow instructors to model the natural structure of a university department institution, course, and role with precise, inheritable permissions at every level.\n\nDame's structure places the university at the root (`UWTeaching`), with each course occupying its own subgroup (e.g. `css430`). Within each course sit repositories for `lecture-materials` and `code`, alongside dedicated Subgroups for `students` and `graders`. Instructor materials remain private, while student and grader subgroups are configured with controlled permissions so that assignment briefs and solutions are visible only to the right people.\n\n![Screenshot of GitLab group hierarchy — institution, course subgroup, and per-student subgroups](https://res.cloudinary.com/about-gitlab-com/image/upload/v1777463673/dpxfnitv76pdmvcqtgag.png)\n\nPermissions cascade downward through the hierarchy via **Manage > Members**, allowing Dame to add students to a course's `students` subgroup with `Reporter` access and an expiration date tied to the end of the academic quarter. Students can clone and pull from assignment repositories but cannot push — keeping solution code firmly under instructor control.\n\nStudents are guided to set up SSH keys across all their working environments (local machines, cloud shells, virtual machines) so they can clone repositories and receive weekly updates via `git pull`. They copy relevant code into their own private repositories to manage their own version history.\n\n**Tip for large classes:** For larger cohorts, adding students by hand is impractical. GitLab's REST API lets you automate subgroup creation and membership from a list of usernames. Below is a sample Python script that handles this:\n\n```python\n    import gitlab\n    from datetime import datetime\n\n    # Connect to your GitLab instance\n    gl = gitlab.Gitlab('https://gitlab.com', private_token='YOUR_PRIVATE_TOKEN')\n\n    # Target parent group ID (e.g., the ID for \"css430 > students\")\n    parent_group_id = 12345678\n\n    # Set expiration: typically the beginning of the next month after quarter end\n    expiry_date = '2025-01-01'\n\n    # List of collected student usernames\n    student_list = ['alice_css430', 'bob_css430', 'carol_css430', 'dave_css430', 'eve_css430']\n\n    for username in student_list:\n        try:\n            # 1. Create a personal subgroup for the student\n            subgroup = gl.groups.create({\n                'name': username,\n                'path': username,\n                'parent_id': parent_group_id,\n                'visibility': 'private'\n            })\n\n            # 2. Add student to the new subgroup with Expiration\n            user = gl.users.list(username=username)[0]\n            subgroup.members.create({\n                'user_id': user.id,\n                'access_level': gitlab.const.REPORTER_ACCESS,\n                'expires_at': expiry_date\n            })\n            print(f\"Success: Subgroup created and student added for {username}\")\n        except Exception as e:\n            print(f\"Error processing {username}: {e}\")\n```\nThere is also an [open source project that automates class management](https://gitlab.com/edu-docs/class-management-automation) published by GitLab that provides additional tooling for this workflow.\n## Give feedback where the work actually lives\n\nOnce the structure is in place, the feedback workflow is where GitLab's value becomes most apparent to students. Dame asks students to submit assignments by opening a **[merge request](https://docs.gitlab.com/user/project/merge_requests/)** in their repository. This gives instructors an immediate, clean diff of everything the student has written.\n![A GitLab merge request showing inline code comment function for an instructor](https://res.cloudinary.com/about-gitlab-com/image/upload/v1777467468/icclzyglbkwlvfysggbi.png)\nInstructors can click any line of code and leave an **inline comment** — not just flagging what is wrong, but explaining why, and pointing to what to look at next. Students receive this feedback in direct context with their code, which is far more actionable than a comment at the bottom of a submitted document.\n\n## Join GitLab for Education\n\nSetting up your first GitLab assignment takes some initial effort, but once the structure is in place it largely runs itself. The real payoff goes beyond organization: Students graduate having worked daily in an environment that mirrors professional software development, building habits around [version control](https://about.gitlab.com/topics/version-control/) and [code review](https://docs.gitlab.com/development/code_review/) rather than learning them as abstract concepts.\n\nIf you are just getting started, keep it simple. Begin with a single course group, one assignment template, and a basic pipeline. The structure will grow naturally alongside your confidence with the platform.\n\nMake sure to **[sign up for GitLab for Education](https://about.gitlab.com/solutions/education/join/)** so that you and your students can access all top-tier features, including unlimited reviewers on merge requests, additional compute minutes, and expanded storage.\n\n> [Apply to the GitLab for Education program today](https://about.gitlab.com/solutions/education/join/).",[621,724],"open source",{"featured":14,"template":15,"slug":726},"teaching-software-development-the-easy-way-using-gitlab",{"content":728,"config":740},{"description":729,"authors":730,"heroImage":732,"date":733,"title":734,"body":735,"category":11,"tags":736},"AI-generated code is 34% of development work. Discover how to balance productivity gains with quality, reliability, and security.",[731],"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.",[737,738,739],"AI/ML","DevOps platform","security",{"featured":28,"template":15,"slug":741},"ai-is-reshaping-devsecops-attend-gitlab-transcend-to-see-whats-next",{"content":743,"config":754},{"title":744,"description":745,"authors":746,"heroImage":748,"date":749,"body":750,"category":11,"tags":751},"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.",[747],"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-agent-platform/), 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/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/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.",[572,565,752,753],"product","features",{"featured":28,"template":15,"slug":755},"atlassian-ending-data-center-as-gitlab-maintains-deployment-choice",{"promotions":757},[758,772,783,794],{"id":759,"categories":760,"header":762,"text":763,"button":764,"image":769},"ai-modernization",[761],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":765,"config":766},"Get your AI maturity score",{"href":767,"dataGaName":768,"dataGaLocation":244},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":770},{"src":771},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":773,"categories":774,"header":775,"text":763,"button":776,"image":780},"devops-modernization",[752,11],"Are you just managing tools or shipping innovation?",{"text":777,"config":778},"Get your DevOps maturity score",{"href":779,"dataGaName":768,"dataGaLocation":244},"/assessments/devops-modernization-assessment/",{"config":781},{"src":782},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":784,"categories":785,"header":786,"text":763,"button":787,"image":791},"security-modernization",[739],"Are you trading speed for security?",{"text":788,"config":789},"Get your security maturity score",{"href":790,"dataGaName":768,"dataGaLocation":244},"/assessments/security-modernization-assessment/",{"config":792},{"src":793},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":795,"paths":796,"header":799,"text":800,"button":801,"image":806},"github-azure-migration",[797,798],"migration-from-azure-devops-to-gitlab","integrating-azure-devops-scm-and-gitlab","Is your team ready for GitHub's Azure move?","GitHub is already rebuilding around Azure. Find out what it means for you.",{"text":802,"config":803},"See how GitLab compares to GitHub",{"href":804,"dataGaName":805,"dataGaLocation":244},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":807},{"src":782},{"header":809,"blurb":810,"button":811,"secondaryButton":816},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":812,"config":813},"Get your free trial",{"href":814,"dataGaName":52,"dataGaLocation":815},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":507,"config":817},{"href":56,"dataGaName":57,"dataGaLocation":815},1777493573982]