[{"data":1,"prerenderedAt":817},["ShallowReactive",2],{"/en-us/blog/what-are-the-benefits-of-a-microservices-architecture":3,"navigation-en-us":39,"banner-en-us":450,"footer-en-us":460,"blog-post-authors-en-us-GitLab":699,"blog-related-posts-en-us-what-are-the-benefits-of-a-microservices-architecture":713,"blog-promotions-en-us":755,"next-steps-en-us":807},{"id":4,"title":5,"authorSlugs":6,"authors":8,"body":10,"category":11,"categorySlug":11,"config":12,"content":16,"date":20,"description":17,"extension":24,"externalUrl":25,"featured":14,"heroImage":19,"isFeatured":14,"meta":26,"navigation":14,"path":27,"publishedDate":20,"rawbody":28,"seo":29,"slug":13,"stem":34,"tagSlugs":35,"tags":37,"template":15,"updatedDate":25,"__hash__":38},"blogPosts/en-us/blog/what-are-the-benefits-of-a-microservices-architecture.yml","What are the benefits of a microservices architecture?",[7],"gitlab",[9],"GitLab","\n[Microservices architecture](/topics/microservices/) is a framework where an application is separated into smaller services and each of those services typically runs a unique process and manages its own database. There are many pros and cons to microservices. Let's explore them.\n\n## Advantages of microservices architecture\n\n### Scalability improvements\n\nSince each microservice runs independently, it is easier to add, remove, update or scale each cloud microservice. Developers can perform these tasks without disrupting any other microservice in the system. Companies can scale each microservice as needed. For instance, if a particular microservice experiences increased demand because of seasonal buying periods, more resources can be efficiently devoted to it. If demand drops as the season changes, the microservice can be scaled back, allowing resources or computing power to be used in other areas.\n\n### Improved fault isolation\n\nUnder a monolithic architecture structure, when developers experience a failure in one element of the architecture, it will collapse all architecture components. With a microservices architecture, if one service fails, it’s much less likely that other parts of the application will fail because each microservice runs independently. However, businesses need to be careful, because large volumes of traffic can still be overwhelming in some cases.\n\nThe benefit of a microservice architecture is that developers can deploy features that prevent cascading failures. A variety of tools are also available, from GitLab and others, to build fault-tolerant microservices that help improve the resilience of the infrastructure.\n\n### Program language and technology agnostic\n\nA microservice application can be programmed in _any_ language, so dev teams can choose the best language for the job. The fact that microservices architectures are language agnostic also allows the developers to use their existing skill sets to maximum advantage – no need to learn a new programming language just get the work done.\nUsing cloud-based microservices gives developers another advantage, as they can access an application from any internet-connected device, regardless of its platform.\n\n### Simpler to deploy\n\nA microservices architecture lets teams deploy independent applications without affecting other services in the architecture. This feature, one of the pros of microservices, will enable developers to add new modules without redesigning the system's complete structure. Businesses can efficiently add new features as needed under a microservices architecture.\n\n### Reusability across different areas of business\n\nSome microservice applications may be shareable across a business. If a site has several different areas, each with a login or payment option, the same microservice application can be used in each instance.\n\n### Faster time-to-market\n\nDevelopers can plug this new “microsurgery” into the architecture without fear of conflicts with other code or of creating service outages that ripple across the website. Development teams working on different microservices don't have to wait for each other to finish. Companies can develop and deploy new features quickly and upgrade older components as new technologies allow them to evolve.\n\n### Ability to experiment\n\nDeciding to go forward with experimentation is much easier with microservices architecture.\n\nIt’s simple to roll out new features because each service is independent of the others. If customers don't like it, or the business benefits aren’t clear, it's much easier to roll it back without affecting the rest of the operation.\n\nIf a  new feature is a customer request, a microservices architecture means they’ll get to experience it in weeks, rather than months or years.\n\n### Improved data security\n\nIf the components of the computer systems architecture break down into smaller pieces, sensitive data is protected from intrusions from another area. While there are connections between all microservices, developers can use secure APIs to connect the services. Secure APIs safeguard data by ensuring it is only available to specifically authorized users, applications and servers. If a business requires handling sensitive data such as health or financial information, it's easier to achieve compliance under data security standards such as healthcare's [HIPAA](https://www.hhs.gov/hipaa/index.html) or the European [GDPR](https://gdpr-info.eu).\n\n### Outsourcing flexibility\n\nIt may be necessary for a business to outsource certain functions to third-party partners. Many companies are concerned about protecting intellectual property with a monolithic architecture format. However, a microservices architecture allows businesses to segment areas just for  partners that won’t otherwise disclose core services.\n\n### Team optimization\n\nWhen considering the size of teams you assign to each microservice, consider the two-pizza rule. First articulated by Amazon, which pioneered microservices, the idea is to keep development teams small enough to feed them with two pizzas. Experts explain that this guideline improves work efficiency, allows businesses to achieve goals faster, makes teams easier to manage, creates greater focus among the group and results in higher quality products.\n\n### Attractive for engineers\n\nEngineers find microservices architecture enticing, and companies have a [better chance of finding top-flight talent](/blog/have-devops-jobs-to-fill-try-these-3-strategies-to-hire-and-retain/) to work on microservices application development. Microservices rely on the latest engineering practices and developer tools. This provides an important advantage for businesses hoping to attract specialists.\n\n## Disadvantages of microservices\n\nWhile there are a solid number of advantages for any business, there are also a few disadvantages of microservices to consider before adoption.\n\n### Upfront costs are higher with microservices\n\nWhile cloud microservices are a pro, such as saving money over the long run, there are cons, such as the costs associated with their initial deployment. A business needs to have sufficient hosting infrastructure with security and maintenance support. Even more important, it will need skilled teams to manage all services.\n\n### Interface control is crucial\n\nSince each microservice has its own API, any application using that service will be affected if you change the API, and that change is not backward compatible. Any large operation using a microservices architecture will have hundreds, even thousands, of APIs so controlling those interfaces becomes critical to the business's operation, which can be a disadvantage to microservices architecture.\n\n### A different kind of complexity\n\nDebugging can be more challenging with a microservices architecture. Each microservice will have its own set of logs. This provides a minor headache when tracing the source of a problem in the code.\n\n### Integration testing\n\nUnit testing is more manageable with microservices architecture. Integration testing is not. Since the architecture distributes each microservice, developers cannot test the entire system from their machines.\n\n### Service-oriented architecture vs. microservices\n\nIf you work in cloud computing, you're probably aware of the [service-oriented architecture (SOA)](https://www.techtarget.com/searchapparchitecture/definition/service-oriented-architecture-SOA) versus microservices debate. In many ways, the two architectures are similar as they both involve cloud computing for agile development. Both break large monolithic components into smaller units that are easier to work with.\n\nThe biggest difference is that SOA is an enterprise-wide approach to developing software components. Microservices, meanwhile, build standalone applications that perform a specific function and this cloud-native approach to development and deployment makes them more scalable, agile and resistant. \n\nSo, in essence, the difference between the two comes down to scope. SOA is an enterprise-wide approach, while a microservices architecture has an application scope.\n\nRead on to learn [how to get started with a microservices architecture](/blog/get-started-with-microservices-architecture/).\n","devsecops",{"slug":13,"featured":14,"template":15},"what-are-the-benefits-of-a-microservices-architecture",true,"BlogPost",{"title":5,"description":17,"authors":18,"heroImage":19,"date":20,"body":10,"category":11,"tags":21},"On the fence about what a microservices architecture can bring to your team? Here's what you need to know.",[9],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662898/Blog/Hero%20Images/microservices-explosion.jpg","2022-09-29",[22,22,23],"DevOps","features","yml",null,{},"/en-us/blog/what-are-the-benefits-of-a-microservices-architecture","seo:\n  title: What are the benefits of a microservices architecture?\n  description: >-\n    On the fence about what a microservices architecture can bring to your team?\n    Here's what you need to know.\n  ogTitle: What are the benefits of a microservices architecture?\n  ogDescription: >-\n    On the fence about what a microservices architecture can bring to your team?\n    Here's what you need to know.\n  noIndex: false\n  ogImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662898/Blog/Hero%20Images/microservices-explosion.jpg\n  ogUrl: >-\n    https://about.gitlab.com/blog/what-are-the-benefits-of-a-microservices-architecture\n  ogSiteName: https://about.gitlab.com\n  ogType: article\n  canonicalUrls: >-\n    https://about.gitlab.com/blog/what-are-the-benefits-of-a-microservices-architecture\ncontent:\n  title: What are the benefits of a microservices architecture?\n  description: >-\n    On the fence about what a microservices architecture can bring to your team?\n    Here's what you need to know.\n  authors:\n    - GitLab\n  heroImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662898/Blog/Hero%20Images/microservices-explosion.jpg\n  date: '2022-09-29'\n  body: >\n\n    [Microservices architecture](/topics/microservices/) is a framework where an\n    application is separated into smaller services and each of those services\n    typically runs a unique process and manages its own database. There are many\n    pros and cons to microservices. Let's explore them.\n\n\n    ## Advantages of microservices architecture\n\n\n    ### Scalability improvements\n\n\n    Since each microservice runs independently, it is easier to add, remove,\n    update or scale each cloud microservice. Developers can perform these tasks\n    without disrupting any other microservice in the system. Companies can scale\n    each microservice as needed. For instance, if a particular microservice\n    experiences increased demand because of seasonal buying periods, more\n    resources can be efficiently devoted to it. If demand drops as the season\n    changes, the microservice can be scaled back, allowing resources or\n    computing power to be used in other areas.\n\n\n    ### Improved fault isolation\n\n\n    Under a monolithic architecture structure, when developers experience a\n    failure in one element of the architecture, it will collapse all\n    architecture components. With a microservices architecture, if one service\n    fails, it’s much less likely that other parts of the application will fail\n    because each microservice runs independently. However, businesses need to be\n    careful, because large volumes of traffic can still be overwhelming in some\n    cases.\n\n\n    The benefit of a microservice architecture is that developers can deploy\n    features that prevent cascading failures. A variety of tools are also\n    available, from GitLab and others, to build fault-tolerant microservices\n    that help improve the resilience of the infrastructure.\n\n\n    ### Program language and technology agnostic\n\n\n    A microservice application can be programmed in _any_ language, so dev teams\n    can choose the best language for the job. The fact that microservices\n    architectures are language agnostic also allows the developers to use their\n    existing skill sets to maximum advantage – no need to learn a new\n    programming language just get the work done.\n\n    Using cloud-based microservices gives developers another advantage, as they\n    can access an application from any internet-connected device, regardless of\n    its platform.\n\n\n    ### Simpler to deploy\n\n\n    A microservices architecture lets teams deploy independent applications\n    without affecting other services in the architecture. This feature, one of\n    the pros of microservices, will enable developers to add new modules without\n    redesigning the system's complete structure. Businesses can efficiently add\n    new features as needed under a microservices architecture.\n\n\n    ### Reusability across different areas of business\n\n\n    Some microservice applications may be shareable across a business. If a site\n    has several different areas, each with a login or payment option, the same\n    microservice application can be used in each instance.\n\n\n    ### Faster time-to-market\n\n\n    Developers can plug this new “microsurgery” into the architecture without\n    fear of conflicts with other code or of creating service outages that ripple\n    across the website. Development teams working on different microservices\n    don't have to wait for each other to finish. Companies can develop and\n    deploy new features quickly and upgrade older components as new technologies\n    allow them to evolve.\n\n\n    ### Ability to experiment\n\n\n    Deciding to go forward with experimentation is much easier with\n    microservices architecture.\n\n\n    It’s simple to roll out new features because each service is independent of\n    the others. If customers don't like it, or the business benefits aren’t\n    clear, it's much easier to roll it back without affecting the rest of the\n    operation.\n\n\n    If a  new feature is a customer request, a microservices architecture means\n    they’ll get to experience it in weeks, rather than months or years.\n\n\n    ### Improved data security\n\n\n    If the components of the computer systems architecture break down into\n    smaller pieces, sensitive data is protected from intrusions from another\n    area. While there are connections between all microservices, developers can\n    use secure APIs to connect the services. Secure APIs safeguard data by\n    ensuring it is only available to specifically authorized users, applications\n    and servers. If a business requires handling sensitive data such as health\n    or financial information, it's easier to achieve compliance under data\n    security standards such as healthcare's\n    [HIPAA](https://www.hhs.gov/hipaa/index.html) or the European\n    [GDPR](https://gdpr-info.eu).\n\n\n    ### Outsourcing flexibility\n\n\n    It may be necessary for a business to outsource certain functions to\n    third-party partners. Many companies are concerned about protecting\n    intellectual property with a monolithic architecture format. However, a\n    microservices architecture allows businesses to segment areas just\n    for  partners that won’t otherwise disclose core services.\n\n\n    ### Team optimization\n\n\n    When considering the size of teams you assign to each microservice, consider\n    the two-pizza rule. First articulated by Amazon, which pioneered\n    microservices, the idea is to keep development teams small enough to feed\n    them with two pizzas. Experts explain that this guideline improves work\n    efficiency, allows businesses to achieve goals faster, makes teams easier to\n    manage, creates greater focus among the group and results in higher quality\n    products.\n\n\n    ### Attractive for engineers\n\n\n    Engineers find microservices architecture enticing, and companies have a\n    [better chance of finding top-flight\n    talent](/blog/have-devops-jobs-to-fill-try-these-3-strategies-to-hire-and-retain/)\n    to work on microservices application development. Microservices rely on the\n    latest engineering practices and developer tools. This provides an important\n    advantage for businesses hoping to attract specialists.\n\n\n    ## Disadvantages of microservices\n\n\n    While there are a solid number of advantages for any business, there are\n    also a few disadvantages of microservices to consider before adoption.\n\n\n    ### Upfront costs are higher with microservices\n\n\n    While cloud microservices are a pro, such as saving money over the long run,\n    there are cons, such as the costs associated with their initial deployment.\n    A business needs to have sufficient hosting infrastructure with security and\n    maintenance support. Even more important, it will need skilled teams to\n    manage all services.\n\n\n    ### Interface control is crucial\n\n\n    Since each microservice has its own API, any application using that service\n    will be affected if you change the API, and that change is not backward\n    compatible. Any large operation using a microservices architecture will have\n    hundreds, even thousands, of APIs so controlling those interfaces becomes\n    critical to the business's operation, which can be a disadvantage to\n    microservices architecture.\n\n\n    ### A different kind of complexity\n\n\n    Debugging can be more challenging with a microservices architecture. Each\n    microservice will have its own set of logs. This provides a minor headache\n    when tracing the source of a problem in the code.\n\n\n    ### Integration testing\n\n\n    Unit testing is more manageable with microservices architecture. Integration\n    testing is not. Since the architecture distributes each microservice,\n    developers cannot test the entire system from their machines.\n\n\n    ### Service-oriented architecture vs. microservices\n\n\n    If you work in cloud computing, you're probably aware of the\n    [service-oriented architecture\n    (SOA)](https://www.techtarget.com/searchapparchitecture/definition/service-oriented-architecture-SOA)\n    versus microservices debate. In many ways, the two architectures are similar\n    as they both involve cloud computing for agile development. Both break large\n    monolithic components into smaller units that are easier to work with.\n\n\n    The biggest difference is that SOA is an enterprise-wide approach to\n    developing software components. Microservices, meanwhile, build standalone\n    applications that perform a specific function and this cloud-native approach\n    to development and deployment makes them more scalable, agile and\n    resistant. \n\n\n    So, in essence, the difference between the two comes down to scope. SOA is\n    an enterprise-wide approach, while a microservices architecture has an\n    application scope.\n\n\n    Read on to learn [how to get started with a microservices\n    architecture](/blog/get-started-with-microservices-architecture/).\n  category: devsecops\n  tags:\n    - DevOps\n    - DevOps\n    - features\nconfig:\n  slug: what-are-the-benefits-of-a-microservices-architecture\n  featured: true\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":30,"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":14,"template":15,"slug":741},"ai-is-reshaping-devsecops-attend-gitlab-transcend-to-see-whats-next",{"content":743,"config":753},{"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.",[572,565,752,23],"product",{"featured":14,"template":15,"slug":754},"atlassian-ending-data-center-as-gitlab-maintains-deployment-choice",{"promotions":756},[757,771,782,793],{"id":758,"categories":759,"header":761,"text":762,"button":763,"image":768},"ai-modernization",[760],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":764,"config":765},"Get your AI maturity score",{"href":766,"dataGaName":767,"dataGaLocation":243},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":769},{"src":770},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":772,"categories":773,"header":774,"text":762,"button":775,"image":779},"devops-modernization",[752,11],"Are you just managing tools or shipping innovation?",{"text":776,"config":777},"Get your DevOps maturity score",{"href":778,"dataGaName":767,"dataGaLocation":243},"/assessments/devops-modernization-assessment/",{"config":780},{"src":781},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":783,"categories":784,"header":785,"text":762,"button":786,"image":790},"security-modernization",[739],"Are you trading speed for security?",{"text":787,"config":788},"Get your security maturity score",{"href":789,"dataGaName":767,"dataGaLocation":243},"/assessments/security-modernization-assessment/",{"config":791},{"src":792},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":794,"paths":795,"header":798,"text":799,"button":800,"image":805},"github-azure-migration",[796,797],"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":801,"config":802},"See how GitLab compares to GitHub",{"href":803,"dataGaName":804,"dataGaLocation":243},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":806},{"src":781},{"header":808,"blurb":809,"button":810,"secondaryButton":815},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":811,"config":812},"Get your free trial",{"href":813,"dataGaName":50,"dataGaLocation":814},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":506,"config":816},{"href":54,"dataGaName":55,"dataGaLocation":814},1777493651343]