[{"data":1,"prerenderedAt":818},["ShallowReactive",2],{"/en-us/blog/atlassian-server-ending-move-to-a-single-devsecops-platform":3,"navigation-en-us":41,"banner-en-us":451,"footer-en-us":461,"blog-post-authors-en-us-Dave Steer":700,"blog-related-posts-en-us-atlassian-server-ending-move-to-a-single-devsecops-platform":714,"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":36,"tagSlugs":37,"tags":39,"template":15,"updatedDate":26,"__hash__":40},"blogPosts/en-us/blog/atlassian-server-ending-move-to-a-single-devsecops-platform.yml","Atlassian Server ending: Goodbye disjointed toolchain, hello DevSecOps platform",[7],"dave-steer",[9],"Dave Steer","\nThe February 15, 2024, end-of-life date for Atlassian Server is fast approaching. If your software development workflows rely on on-premises deployments of Atlassian Server products such as Bitbucket Server for source code management, Bamboo Server for CI/CD, or Jira Server for Agile Planning, you’re faced with a choice. You can settle for the Atlassian options that remain available to you, or you can take a more forward-looking path: Make the move to a single AI-powered DevSecOps platform.\n\n## Atlassian Server end of life: Migration made easy\nMigrating to a DevSecOps platform is simple: With GitLab’s various importer tools you can quickly import repositories, Jira issues, and Bamboo jobs. Here are a few resources you can use to get started, whether you’re ready to adopt the whole GitLab platform or you’d like to move one service at a time:\n* [Import your project from Bitbucket Cloud to GitLab](https://docs.gitlab.com/user/project/import/bitbucket/)\n* [Import your project from Bitbucket Server to GitLab](https://docs.gitlab.com/user/project/import/bitbucket_server/)\n* [Import your Jira project issues to GitLab](https://docs.gitlab.com/user/project/import/jira/)\n* [Integrate Jira with GitLab](https://docs.gitlab.com/integration/jira/)\n\nAtlassian discontinuing Server presents the perfect opportunity to consolidate your toolchain, increase developer efficiency, and implement DevSecOps. Let’s take a look at the benefits you can expect from making this move.\n\n## Less complexity, more productivity\nDevSecOps enables companies to build software faster, more efficiently, and more securely. At the same time, the proliferation of DevOps tools is creating additional complexity in how companies develop, secure, and deploy software, which in turn is costing companies time and money. GitLab’s [2023 Global DevSecOps Survey](https://about.gitlab.com/developer-survey/) found that 84% of organizations are using between two and ten DevOps tools, with 69% of developers spending at least a quarter of their time maintaining and integrating toolchains. Even if some of those various DevOps tools are from the same vendor, they often require work in the background to set up, secure, and maintain the integrations. That’s a significant amount of effort that teams could be using to deliver value to customers.\n\nLet’s say you’re an Atlassian shop. You’re using Bitbucket Server for source code management, Bamboo Server for CI/CD, Zephyr for test case management, Jira Server for agile planning, and numerous other third-party tools for security scanning, vulnerability tracking, and more. As the Atlassian Server end of life approaches, you know that continuing to use Server without security updates and vulnerability fixes puts your company and customers at risk — a major no-go for security and compliance reasons. You have the option to move to Atlassian Cloud or, if you need to remain on-premises, Atlassian Data Center. But transitioning requires time, effort, and significant planning. If you’re already dedicating resources to making this change, why not take the opportunity to simplify matters by consolidating all of those tools into a single [AI-powered DevSecOps platform](https://about.gitlab.com/blog/categories/ai-ml/) instead?\n\nAccording to our 2023 survey, the top benefits of migrating to a DevSecOps platform include cost and time savings, increased efficiency, and better security. Plus, 90% of developers whose organizations are using a platform said they feel they’re able to effectively identify and mitigate security vulnerabilities, among other benefits.\n\n> How much is your toolchain costing you? [See how much you can save with the GitLab DevSecOps Platform](https://about.gitlab.com/calculator/roi/).\n\n## Improved developer experience\nTime spent maintaining and integrating toolchains isn’t just money down the drain for the organization — it’s also a drain on developer satisfaction. [Helping organizations better support their developers](https://about.gitlab.com/blog/the-gitlab-quarterly-how-our-latest-beta-releases-support-developers/) has always been a priority for GitLab, and we’re confident in our position that a single DevSecOps platform is the best way to do just that.\n\nWith a single platform, developers stay in flow and do what they do best: develop great software. More concretely, a superior developer experience empowers teams to:\n* focus on work that matters, with less context switching between different tools\n* onboard and get up to speed more quickly with only a single platform to learn\n* break down silos across product, development, security, and operations to foster better collaboration\n* receive continuous feedback and iterate more quickly to produce higher-quality output\n* automate manual tasks with AI built into the development lifecycle to avoid errors and wasted time\n\nIf your team hasn’t been able to invest in the developer experience, now is the perfect time to make it a priority. We’ve heard from GitLab customers like Airbus and [Iron Mountain](https://about.gitlab.com/customers/iron-mountain/) that a toolchain consisting of Jira, Bitbucket, and Bamboo doesn’t offer a user-friendly experience and lacks key capabilities. Why migrate to a new Atlassian Cloud or Data Center setup if you’re going to be missing out on mission-critical features such as [built-in security scanning](https://docs.gitlab.com/user/application_security/), [review apps](https://docs.gitlab.com/ci/review_apps/), and [feature flags](https://docs.gitlab.com/operations/feature_flags/)?\n\n## Visibility at every stage\nA unified DevSecOps platform offers [out-of-the-box dashboards and reports](https://about.gitlab.com/blog/getting-started-with-value-streams-dashboard/) that provide insights on productivity, security, code quality, and more to help teams identify and fix barriers within the software development lifecycle. In our 2023 survey, respondents whose organizations are using a DevSecOps platform were significantly more likely to say they clearly understand what is happening across all stages of the software development lifecycle.\n\nHaving that extra visibility:\n* improves software delivery quality and speed by uncovering bottlenecks in software delivery\n* boosts organizational value delivery by helping organizations identify high-performing teams, maintain standards, and share best practices\n* helps organizations ensure the security of their end-to-end software supply chain and compliance with regulatory mandates\n\nYou can’t get that visibility without a single DevSecOps platform — and GitLab is the most comprehensive AI-powered DevSecOps platform on the market. With other providers, you’re still stringing together various third-party tools into complex toolchains, hampering visibility while creating integration headaches and increasing your total cost of ownership. From idea to value, GitLab lets teams collaborate in a single application to [shorten cycle times](https://about.gitlab.com/customers/hackerone/), [reduce development costs](https://about.gitlab.com/customers/carfax/), and [increase developer productivity](https://about.gitlab.com/customers/deutsche-telekom/).\n\n> Learn why GitLab was named a [Leader in the 2023 Gartner® Magic Quadrant™ for DevOps Platforms](https://about.gitlab.com/gartner-magic-quadrant/).\n\nBottom line: [With Atlassian Server support ending](https://www.atlassian.com/migration/assess/journey-to-cloud), you shouldn’t be forced to choose an option that isn’t right for the [future of your business](https://about.gitlab.com/blog/devsecops-platforms-help-smbs-scale-as-they-grow/). Whether you’re on the lookout for alternatives to fundamental tools in your stack that will no longer be supported, or you’re simply seeking new ways to boost the productivity of your growing team, adopting an AI-powered DevSecOps platform should be as frictionless as possible. That’s why GitLab offers a variety of deployment options to meet your unique needs, including self-managed, multi-tenant SaaS, and [GitLab Dedicated, our single-tenant SaaS offering](https://about.gitlab.com/blog/introducing-gitlab-dedicated/).\n\nWhen you’re ready to make the move, [we’re here to help](https://about.gitlab.com/sales/).\n","devsecops",{"slug":13,"featured":14,"template":15},"atlassian-server-ending-move-to-a-single-devsecops-platform",false,"BlogPost",{"title":5,"description":17,"authors":18,"heroImage":19,"date":20,"body":10,"category":11,"tags":21},"Atlassian is about to end support for Server products. Learn why now is the time to make the upgrade to GitLab’s single DevSecOps platform.",[9],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749658924/Blog/Hero%20Images/securitylifecycle-light.png","2023-09-26",[22,23,24],"DevSecOps","CI/CD","security","yml",null,{},true,"/en-us/blog/atlassian-server-ending-move-to-a-single-devsecops-platform","seo:\n  title: >-\n    Atlassian Server ends: Time to move to integrated DevSecOps\n  description: >-\n    Atlassian is about to end support for Server products. Learn why now is the\n    time to make the upgrade to GitLab’s single DevSecOps platform.\n  ogTitle: >-\n    Atlassian Server ends: Time to move to integrated DevSecOps\n  ogDescription: >-\n    Atlassian is about to end support for Server products. Learn why now is the\n    time to make the upgrade to GitLab’s single DevSecOps platform.\n  noIndex: false\n  ogImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749658924/Blog/Hero%20Images/securitylifecycle-light.png\n  ogUrl: >-\n    https://about.gitlab.com/blog/atlassian-server-ending-move-to-a-single-devsecops-platform\n  ogSiteName: https://about.gitlab.com\n  ogType: article\n  canonicalUrls: >-\n    https://about.gitlab.com/blog/atlassian-server-ending-move-to-a-single-devsecops-platform\ncontent:\n  title: >-\n    Atlassian Server ending: Goodbye disjointed toolchain, hello DevSecOps\n    platform\n  description: >-\n    Atlassian is about to end support for Server products. Learn why now is the\n    time to make the upgrade to GitLab’s single DevSecOps platform.\n  authors:\n    - Dave Steer\n  heroImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749658924/Blog/Hero%20Images/securitylifecycle-light.png\n  date: '2023-09-26'\n  body: >\n\n    The February 15, 2024, end-of-life date for Atlassian Server is fast\n    approaching. If your software development workflows rely on on-premises\n    deployments of Atlassian Server products such as Bitbucket Server for source\n    code management, Bamboo Server for CI/CD, or Jira Server for Agile Planning,\n    you’re faced with a choice. You can settle for the Atlassian options that\n    remain available to you, or you can take a more forward-looking path: Make\n    the move to a single AI-powered DevSecOps platform.\n\n\n    ## Atlassian Server end of life: Migration made easy\n\n    Migrating to a DevSecOps platform is simple: With GitLab’s various importer\n    tools you can quickly import repositories, Jira issues, and Bamboo jobs.\n    Here are a few resources you can use to get started, whether you’re ready to\n    adopt the whole GitLab platform or you’d like to move one service at a time:\n\n    * [Import your project from Bitbucket Cloud to\n    GitLab](https://docs.gitlab.com/user/project/import/bitbucket/)\n\n    * [Import your project from Bitbucket Server to\n    GitLab](https://docs.gitlab.com/user/project/import/bitbucket_server/)\n\n    * [Import your Jira project issues to\n    GitLab](https://docs.gitlab.com/user/project/import/jira/)\n\n    * [Integrate Jira with GitLab](https://docs.gitlab.com/integration/jira/)\n\n\n    Atlassian discontinuing Server presents the perfect opportunity to\n    consolidate your toolchain, increase developer efficiency, and implement\n    DevSecOps. Let’s take a look at the benefits you can expect from making this\n    move.\n\n\n    ## Less complexity, more productivity\n\n    DevSecOps enables companies to build software faster, more efficiently, and\n    more securely. At the same time, the proliferation of DevOps tools is\n    creating additional complexity in how companies develop, secure, and deploy\n    software, which in turn is costing companies time and money. GitLab’s [2023\n    Global DevSecOps Survey](https://about.gitlab.com/developer-survey/) found\n    that 84% of organizations are using between two and ten DevOps tools, with\n    69% of developers spending at least a quarter of their time maintaining and\n    integrating toolchains. Even if some of those various DevOps tools are from\n    the same vendor, they often require work in the background to set up,\n    secure, and maintain the integrations. That’s a significant amount of effort\n    that teams could be using to deliver value to customers.\n\n\n    Let’s say you’re an Atlassian shop. You’re using Bitbucket Server for source\n    code management, Bamboo Server for CI/CD, Zephyr for test case management,\n    Jira Server for agile planning, and numerous other third-party tools for\n    security scanning, vulnerability tracking, and more. As the Atlassian Server\n    end of life approaches, you know that continuing to use Server without\n    security updates and vulnerability fixes puts your company and customers at\n    risk — a major no-go for security and compliance reasons. You have the\n    option to move to Atlassian Cloud or, if you need to remain on-premises,\n    Atlassian Data Center. But transitioning requires time, effort, and\n    significant planning. If you’re already dedicating resources to making this\n    change, why not take the opportunity to simplify matters by consolidating\n    all of those tools into a single [AI-powered DevSecOps\n    platform](https://about.gitlab.com/blog/categories/ai-ml/) instead?\n\n\n    According to our 2023 survey, the top benefits of migrating to a DevSecOps\n    platform include cost and time savings, increased efficiency, and better\n    security. Plus, 90% of developers whose organizations are using a platform\n    said they feel they’re able to effectively identify and mitigate security\n    vulnerabilities, among other benefits.\n\n\n    > How much is your toolchain costing you? [See how much you can save with\n    the GitLab DevSecOps Platform](https://about.gitlab.com/calculator/roi/).\n\n\n    ## Improved developer experience\n\n    Time spent maintaining and integrating toolchains isn’t just money down the\n    drain for the organization — it’s also a drain on developer satisfaction.\n    [Helping organizations better support their\n    developers](https://about.gitlab.com/blog/the-gitlab-quarterly-how-our-latest-beta-releases-support-developers/)\n    has always been a priority for GitLab, and we’re confident in our position\n    that a single DevSecOps platform is the best way to do just that.\n\n\n    With a single platform, developers stay in flow and do what they do best:\n    develop great software. More concretely, a superior developer experience\n    empowers teams to:\n\n    * focus on work that matters, with less context switching between different\n    tools\n\n    * onboard and get up to speed more quickly with only a single platform to\n    learn\n\n    * break down silos across product, development, security, and operations to\n    foster better collaboration\n\n    * receive continuous feedback and iterate more quickly to produce\n    higher-quality output\n\n    * automate manual tasks with AI built into the development lifecycle to\n    avoid errors and wasted time\n\n\n    If your team hasn’t been able to invest in the developer experience, now is\n    the perfect time to make it a priority. We’ve heard from GitLab customers\n    like Airbus and [Iron\n    Mountain](https://about.gitlab.com/customers/iron-mountain/) that a\n    toolchain consisting of Jira, Bitbucket, and Bamboo doesn’t offer a\n    user-friendly experience and lacks key capabilities. Why migrate to a new\n    Atlassian Cloud or Data Center setup if you’re going to be missing out on\n    mission-critical features such as [built-in security\n    scanning](https://docs.gitlab.com/user/application_security/), [review\n    apps](https://docs.gitlab.com/ci/review_apps/), and [feature\n    flags](https://docs.gitlab.com/operations/feature_flags/)?\n\n\n    ## Visibility at every stage\n\n    A unified DevSecOps platform offers [out-of-the-box dashboards and\n    reports](https://about.gitlab.com/blog/getting-started-with-value-streams-dashboard/)\n    that provide insights on productivity, security, code quality, and more to\n    help teams identify and fix barriers within the software development\n    lifecycle. In our 2023 survey, respondents whose organizations are using a\n    DevSecOps platform were significantly more likely to say they clearly\n    understand what is happening across all stages of the software development\n    lifecycle.\n\n\n    Having that extra visibility:\n\n    * improves software delivery quality and speed by uncovering bottlenecks in\n    software delivery\n\n    * boosts organizational value delivery by helping organizations identify\n    high-performing teams, maintain standards, and share best practices\n\n    * helps organizations ensure the security of their end-to-end software\n    supply chain and compliance with regulatory mandates\n\n\n    You can’t get that visibility without a single DevSecOps platform — and\n    GitLab is the most comprehensive AI-powered DevSecOps platform on the\n    market. With other providers, you’re still stringing together various\n    third-party tools into complex toolchains, hampering visibility while\n    creating integration headaches and increasing your total cost of ownership.\n    From idea to value, GitLab lets teams collaborate in a single application to\n    [shorten cycle times](https://about.gitlab.com/customers/hackerone/),\n    [reduce development costs](https://about.gitlab.com/customers/carfax/), and\n    [increase developer\n    productivity](https://about.gitlab.com/customers/deutsche-telekom/).\n\n\n    > Learn why GitLab was named a [Leader in the 2023 Gartner® Magic Quadrant™\n    for DevOps Platforms](https://about.gitlab.com/gartner-magic-quadrant/).\n\n\n    Bottom line: [With Atlassian Server support\n    ending](https://www.atlassian.com/migration/assess/journey-to-cloud), you\n    shouldn’t be forced to choose an option that isn’t right for the [future of\n    your\n    business](https://about.gitlab.com/blog/devsecops-platforms-help-smbs-scale-as-they-grow/).\n    Whether you’re on the lookout for alternatives to fundamental tools in your\n    stack that will no longer be supported, or you’re simply seeking new ways to\n    boost the productivity of your growing team, adopting an AI-powered\n    DevSecOps platform should be as frictionless as possible. That’s why GitLab\n    offers a variety of deployment options to meet your unique needs, including\n    self-managed, multi-tenant SaaS, and [GitLab Dedicated, our single-tenant\n    SaaS offering](https://about.gitlab.com/blog/introducing-gitlab-dedicated/).\n\n\n    When you’re ready to make the move, [we’re here to\n    help](https://about.gitlab.com/sales/).\n  category: devsecops\n  tags:\n    - DevSecOps\n    - CI/CD\n    - security\nconfig:\n  slug: atlassian-server-ending-move-to-a-single-devsecops-platform\n  featured: false\n  template: BlogPost\n",{"title":32,"description":17,"ogTitle":32,"ogDescription":17,"noIndex":14,"ogImage":19,"ogUrl":33,"ogSiteName":34,"ogType":35,"canonicalUrls":33},"Atlassian Server ends: Time to move to integrated 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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",[720],"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/).",[622,725],"open source",{"featured":14,"template":15,"slug":727},"teaching-software-development-the-easy-way-using-gitlab",{"content":729,"config":740},{"description":730,"authors":731,"heroImage":733,"date":734,"title":735,"body":736,"category":11,"tags":737},"AI-generated code is 34% of development work. Discover how to balance productivity gains with quality, reliability, and security.",[732],"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.",[738,739,24],"AI/ML","DevOps platform",{"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.",[573,22,752,753],"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",[24],"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},1777493578774]