[{"data":1,"prerenderedAt":819},["ShallowReactive",2],{"/en-us/blog/a-3-step-plan-for-devops-platform-migration":3,"navigation-en-us":41,"banner-en-us":452,"footer-en-us":462,"blog-post-authors-en-us-Lauren Minning":701,"blog-related-posts-en-us-a-3-step-plan-for-devops-platform-migration":715,"blog-promotions-en-us":757,"next-steps-en-us":809},{"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/a-3-step-plan-for-devops-platform-migration.yml","A 3-step plan for DevOps platform migration",[7],"lauren-minning",[9],"Lauren Minning","\n\nWhen making your DevOps platform migration plan, less really is more, at least when it comes to tools.\n\nOur [2022 Global DevSecOps Survey](/resources/developer-survey/) found that not only do teams have _lots_ of tools, they spend a significant amount of time managing them. All told 40% of developers spend between one quarter and one half of their time on toolchain maintenance and integration, and another 33% spend between 50% and **all** of their time on this task. So it’s hardly a surprise that 69% of survey takers said they want to consolidate their toolchains.\n\nOne obvious way to consolidate is migrating to a DevOps platform. DevOps platform migration does take some planning and teamwork, but it can be done. Here’s a 3-step plan (and a self-evaluation checklist) to get teams started.\n\n## Choose the right path\n\nThe most important thing to know about migrating to an end-to-end DevOps platform is that everyone's needs are different so there isn’t one “right way” to carry out your migration.\n\nA company that has 1,000 users will have completely different DevOps needs than a company that has 5,000 users. What your specific DevOps platform migration plan requires will depend on the types of projects you migrate, the file types within those projects, and a whole host of other parameters. Because of this, there is not a “one size fits all” migration process for everyone to follow.\n\nHere’s a basic 3-step guide for migrating to a DevOps platform:\n\n**Begin by identifying** the strategic goals and be clear about why they are a priority for future business plans.\n\n**Evaluate tools** currently in use that no longer serve future goals. Ultimately the goal should be to operate entirely out of a single application for maximum efficiency. But it may make sense to migrate some things now and others down the line.\n\nThis is the time to become a historian and discern which tools have been problematic in the past. Consider what to migrate right away or later on and why (i.e., instability or costly maintenance and licensing) and really use that to inform the migration process.\n\n_An important note: Take into consideration the business disruption that migration has on a company. Replacing existing tools with a new DevOps platform in one step could mean sweeping changes across the organization, and the fallout might not be worth it. Instead, start with the things taking time, effort and money to maintain. And continue to keep it as simple and streamlined as possible._\n\n**Have everyone** on the team complete a self-evaluation so there are no surprises.\n\n## Do a self-evaluation\n\nHere are key questions to ask:\n\n- What’s the timeline? Discuss with all involved parties – existing team members and a representative of the new DevOps platform – how much time to allot for a completed migration. Migrations can take anywhere from 2 weeks for the initial migration to 3-6 months for monitoring.\n\n- What are the costs? This kind of platform adoption can ultimately save a LOT of money. However, the adoption of a new DevOps platform and the associated migration will no doubt have costs. Consider all costs and make sure they align with budgetary goals and requirements.\n\n- What about assistance? Are other parts of the company prepared to support a migration? How much of this will require work from the existing team and how much support will the DevOps platform provider offer?\n\n- Who are the primary and other platform users? What teams of people will migrate to this new platform? Will everyone have the same level or different levels of permissions? What needs to be done so that these teams are prepared to learn and teach the ins and outs of the new platform to other team members?\n\n- What data is migrating? Make sure to have a 360 view of the data involved in a migration including, projects, issues, and file types. What changes can happen with data when moving to a brand new DevOps platform? When evaluating the projects planned for migration, explore which applications teams spend the most time and energy working with, and what will set them up for success in the new platform.\n\n- How will automation fit in? Ensure teams understand the technology underpinnings of automation, like Kubernetes, CI/CD and more.\nHow should it be customized? Not every tool on a DevOps platform will be right for every team, and some tools might be a better fit at a later date. It makes sense to address any technology “outliers” right from the start.\n\n- Should the process be documented? Every step of the migration process should be documented and shared across teams. This level of transparency and an iterative, easy-to-search knowledge base can help problem-solve and refer back to stages already completed. Much like a single source for DevOps, a single source of truth for DevOps migration info helps everyone involved.\n\n- What about security? Security is never a “one and done,” but this is a good time to consider processes and levels of protection.\nWhat are good results?: What will a successful migration look like – when data is moved, or when teams are comfortable in their knowledge and use of the new system? Map out what the goals that will be critical to a successful migration.\n\nCheck out our _[Migrating to a DevOps platform](https://page.gitlab.com/migrate-to-devops-guide.html)_ eBook  for even more useful information about how to complete a successful DevOps platform migration.\n","devsecops",{"slug":13,"featured":14,"template":15},"a-3-step-plan-for-devops-platform-migration",false,"BlogPost",{"title":5,"description":17,"authors":18,"heroImage":19,"date":20,"body":10,"category":11,"tags":21},"Too many tools = too much time wasted. Use our 3-step plan and detailed checklist to jumpstart a DevOps platform migration.",[9],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668319/Blog/Hero%20Images/more-robust-task-lists.jpg","2022-08-25",[22,23,24],"DevOps","developer survey","security","yml",null,{},true,"/en-us/blog/a-3-step-plan-for-devops-platform-migration","seo:\n  title: A 3-step plan for DevOps platform migration\n  description: >-\n    Too many tools = too much time wasted. Use our 3-step plan and detailed\n    checklist to jumpstart a DevOps platform migration.\n  ogTitle: A 3-step plan for DevOps platform migration\n  ogDescription: >-\n    Too many tools = too much time wasted. Use our 3-step plan and detailed\n    checklist to jumpstart a DevOps platform migration.\n  noIndex: false\n  ogImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668319/Blog/Hero%20Images/more-robust-task-lists.jpg\n  ogUrl: https://about.gitlab.com/blog/a-3-step-plan-for-devops-platform-migration\n  ogSiteName: https://about.gitlab.com\n  ogType: article\n  canonicalUrls: https://about.gitlab.com/blog/a-3-step-plan-for-devops-platform-migration\ncontent:\n  title: A 3-step plan for DevOps platform migration\n  description: >-\n    Too many tools = too much time wasted. Use our 3-step plan and detailed\n    checklist to jumpstart a DevOps platform migration.\n  authors:\n    - Lauren Minning\n  heroImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668319/Blog/Hero%20Images/more-robust-task-lists.jpg\n  date: '2022-08-25'\n  body: >\n\n\n    When making your DevOps platform migration plan, less really is more, at\n    least when it comes to tools.\n\n\n    Our [2022 Global DevSecOps Survey](/resources/developer-survey/) found that not only\n    do teams have _lots_ of tools, they spend a significant amount of time\n    managing them. All told 40% of developers spend between one quarter and one\n    half of their time on toolchain maintenance and integration, and another 33%\n    spend between 50% and **all** of their time on this task. So it’s hardly a\n    surprise that 69% of survey takers said they want to consolidate their\n    toolchains.\n\n\n    One obvious way to consolidate is migrating to a DevOps platform. DevOps\n    platform migration does take some planning and teamwork, but it can be done.\n    Here’s a 3-step plan (and a self-evaluation checklist) to get teams started.\n\n\n    ## Choose the right path\n\n\n    The most important thing to know about migrating to an end-to-end DevOps\n    platform is that everyone's needs are different so there isn’t one “right\n    way” to carry out your migration.\n\n\n    A company that has 1,000 users will have completely different DevOps needs\n    than a company that has 5,000 users. What your specific DevOps platform\n    migration plan requires will depend on the types of projects you migrate,\n    the file types within those projects, and a whole host of other parameters.\n    Because of this, there is not a “one size fits all” migration process for\n    everyone to follow.\n\n\n    Here’s a basic 3-step guide for migrating to a DevOps platform:\n\n\n    **Begin by identifying** the strategic goals and be clear about why they are\n    a priority for future business plans.\n\n\n    **Evaluate tools** currently in use that no longer serve future goals.\n    Ultimately the goal should be to operate entirely out of a single\n    application for maximum efficiency. But it may make sense to migrate some\n    things now and others down the line.\n\n\n    This is the time to become a historian and discern which tools have been\n    problematic in the past. Consider what to migrate right away or later on and\n    why (i.e., instability or costly maintenance and licensing) and really use\n    that to inform the migration process.\n\n\n    _An important note: Take into consideration the business disruption that\n    migration has on a company. Replacing existing tools with a new DevOps\n    platform in one step could mean sweeping changes across the organization,\n    and the fallout might not be worth it. Instead, start with the things taking\n    time, effort and money to maintain. And continue to keep it as simple and\n    streamlined as possible._\n\n\n    **Have everyone** on the team complete a self-evaluation so there are no\n    surprises.\n\n\n    ## Do a self-evaluation\n\n\n    Here are key questions to ask:\n\n\n    - What’s the timeline? Discuss with all involved parties – existing team\n    members and a representative of the new DevOps platform – how much time to\n    allot for a completed migration. Migrations can take anywhere from 2 weeks\n    for the initial migration to 3-6 months for monitoring.\n\n\n    - What are the costs? This kind of platform adoption can ultimately save a\n    LOT of money. However, the adoption of a new DevOps platform and the\n    associated migration will no doubt have costs. Consider all costs and make\n    sure they align with budgetary goals and requirements.\n\n\n    - What about assistance? Are other parts of the company prepared to support\n    a migration? How much of this will require work from the existing team and\n    how much support will the DevOps platform provider offer?\n\n\n    - Who are the primary and other platform users? What teams of people will\n    migrate to this new platform? Will everyone have the same level or different\n    levels of permissions? What needs to be done so that these teams are\n    prepared to learn and teach the ins and outs of the new platform to other\n    team members?\n\n\n    - What data is migrating? Make sure to have a 360 view of the data involved\n    in a migration including, projects, issues, and file types. What changes can\n    happen with data when moving to a brand new DevOps platform? When evaluating\n    the projects planned for migration, explore which applications teams spend\n    the most time and energy working with, and what will set them up for success\n    in the new platform.\n\n\n    - How will automation fit in? Ensure teams understand the technology\n    underpinnings of automation, like Kubernetes, CI/CD and more.\n\n    How should it be customized? Not every tool on a DevOps platform will be\n    right for every team, and some tools might be a better fit at a later date.\n    It makes sense to address any technology “outliers” right from the start.\n\n\n    - Should the process be documented? Every step of the migration process\n    should be documented and shared across teams. This level of transparency and\n    an iterative, easy-to-search knowledge base can help problem-solve and refer\n    back to stages already completed. Much like a single source for DevOps, a\n    single source of truth for DevOps migration info helps everyone involved.\n\n\n    - What about security? Security is never a “one and done,” but this is a\n    good time to consider processes and levels of protection.\n\n    What are good results?: What will a successful migration look like – when\n    data is moved, or when teams are comfortable in their knowledge and use of\n    the new system? Map out what the goals that will be critical to a successful\n    migration.\n\n\n    Check out our _[Migrating to a DevOps\n    platform](https://page.gitlab.com/migrate-to-devops-guide.html)_ eBook  for\n    even more useful information about how to complete a successful DevOps\n    platform migration.\n  category: devsecops\n  tags:\n    - DevOps\n    - developer survey\n    - security\nconfig:\n  slug: a-3-step-plan-for-devops-platform-migration\n  featured: false\n  template: 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Washington lecturer Stephen G. Dame uses GitLab for Education to manage student assignments, distribute course materials, and provide inline code feedback at scale.\n",[721],"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/).",[623,726],"open source",{"featured":14,"template":15,"slug":728},"teaching-software-development-the-easy-way-using-gitlab",{"content":730,"config":741},{"description":731,"authors":732,"heroImage":734,"date":735,"title":736,"body":737,"category":11,"tags":738},"AI-generated code is 34% of development work. Discover how to balance productivity gains with quality, reliability, and security.",[733],"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.",[739,740,24],"AI/ML","DevOps platform",{"featured":28,"template":15,"slug":742},"ai-is-reshaping-devsecops-attend-gitlab-transcend-to-see-whats-next",{"content":744,"config":755},{"title":745,"description":746,"authors":747,"heroImage":749,"date":750,"body":751,"category":11,"tags":752},"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.",[748],"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.",[574,567,753,754],"product","features",{"featured":28,"template":15,"slug":756},"atlassian-ending-data-center-as-gitlab-maintains-deployment-choice",{"promotions":758},[759,773,784,795],{"id":760,"categories":761,"header":763,"text":764,"button":765,"image":770},"ai-modernization",[762],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":766,"config":767},"Get your AI maturity score",{"href":768,"dataGaName":769,"dataGaLocation":245},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":771},{"src":772},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":774,"categories":775,"header":776,"text":764,"button":777,"image":781},"devops-modernization",[753,11],"Are you just managing tools or shipping innovation?",{"text":778,"config":779},"Get your DevOps maturity score",{"href":780,"dataGaName":769,"dataGaLocation":245},"/assessments/devops-modernization-assessment/",{"config":782},{"src":783},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":785,"categories":786,"header":787,"text":764,"button":788,"image":792},"security-modernization",[24],"Are you trading speed for security?",{"text":789,"config":790},"Get your security maturity score",{"href":791,"dataGaName":769,"dataGaLocation":245},"/assessments/security-modernization-assessment/",{"config":793},{"src":794},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":796,"paths":797,"header":800,"text":801,"button":802,"image":807},"github-azure-migration",[798,799],"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":803,"config":804},"See how GitLab compares to GitHub",{"href":805,"dataGaName":806,"dataGaLocation":245},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":808},{"src":783},{"header":810,"blurb":811,"button":812,"secondaryButton":817},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":813,"config":814},"Get your free trial",{"href":815,"dataGaName":52,"dataGaLocation":816},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":508,"config":818},{"href":56,"dataGaName":57,"dataGaLocation":816},1777493608869]