[{"data":1,"prerenderedAt":796},["ShallowReactive",2],{"/en-us/blog/dont-confuse-these-twelve-shortcuts-with-iteration":3,"navigation-en-us":38,"banner-en-us":438,"footer-en-us":448,"blog-post-authors-en-us-Sid Sijbrandij":687,"blog-related-posts-en-us-dont-confuse-these-twelve-shortcuts-with-iteration":705,"assessment-promotions-en-us":748,"next-steps-en-us":786},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":26,"isFeatured":12,"meta":27,"navigation":28,"path":29,"publishedDate":20,"seo":30,"stem":34,"tagSlugs":35,"__hash__":37},"blogPosts/en-us/blog/dont-confuse-these-twelve-shortcuts-with-iteration.yml","Dont Confuse These Twelve Shortcuts With Iteration",[7],"sid-sijbrandij",null,"devsecops",{"slug":11,"featured":12,"template":13},"dont-confuse-these-twelve-shortcuts-with-iteration",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"Don’t confuse these 12 shortcuts with iteration","Iteration is a GitLab value. Sid Sijbrandij, GitLab’s co-founder and CEO, discusses 12 shortcuts that are not iterations to help refine what is considered a good iteration.",[18],"Sid Sijbrandij","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749663383/Blog/Hero%20Images/tanuki-bg-full.png","2021-12-01","\n\n[Iteration](https://handbook.gitlab.com/handbook/values/#iteration) is one of GitLab’s [top 3 values](https://handbook.gitlab.com/handbook/values/#hierarchy) because it enables everyone to be efficient in how they deliver value to customers and the wider community. Iteration helps us [build our product and improve our work lives](/blog/power-of-iteration/).\n\nIn essence, iteration is reducing the scope of your next piece of work to the smallest valuable thing possible so that you can deliver it fast. By reducing the scope and delivering to the user, rather than holding it back while finishing a larger scope of work, you benefit in the following ways:\n\n- Reduce coordination efforts\n- Reduce cancellations\n- Easier and faster reviews\n- Get feedback faster\n\nIterating helps you ensure that your next step is in the right direction.\n\nAs we’ve practiced iteration at GitLab, I’ve found that when it’s not clearly understood, well-intentioned mistakes can happen. Because iteration is fundamental to everything that we do, it’s critical to regularly reinforce and refine what we define as an iteration.\n\nTo help clarify what is iteration, it helps to see examples of what iteration is not. Here are 12 shortcuts that I’ve seen be mistaken as iteration.\n\n## 1. Reducing quality\n\nSome people will take shortcuts, which leads to lower quality in the final product or deliverable. You can’t reduce quality to minimize the scope of an iteration. Your iteration needs to meet the same quality standards you would expect for any of your work.\n\nFor example, in the case of a user interface, every button needs to work and be properly styled and aligned. Nothing should feel out of place or unfinished. You can reduce the amount of functionality, but the functionality that you deliver needs to look and function as expected.\n\n## 2. Avoiding or reducing documentation\n\nWhen defining the scope of an iteration, make sure you include the right information so that the user can properly understand what happened and can derive value from your work. In the case of a new feature, without proper documentation, the recipient may not understand how to best use the feature, which defeats the purpose of delivering it quickly.\n\nIteration will make documentation faster given the reduced scope, so don’t avoid or delay the documentation.\n\n## 3. Compromising on security\n\nYou can’t compromise on security in the spirit of moving faster. An iteration must meet the same security standards and follow all the necessary security practices to ensure that your product and work doesn’t introduce any new vulnerabilities.\n\nAs an example, when building new features in GitLab, no matter how small an iteration is defined, we should always prioritize the protection of customers’ data.\n\n## 4. Delivering something that's not on the recommended path or on by default\n\nTo call an iteration complete, it needs to be on the recommended path or on by default. Otherwise, most users won’t see or benefit from the work.\n\nAt GitLab, in the past, we have made the mistake of considering an iteration complete before making a new feature the default or recommended path for all our users, which then results in fewer users for that functionality. To prevent having functionality in the product that users won’t find, we now require that the feature is on the recommended path and on by default before we call the iteration complete.\n\nFor big changes, such as when a feature may have a big impact on user experience or stability, we use feature flags when initially shipping a feature. This is a good strategy to start delivering something gradually into the product, but we don’t consider the iteration done until that feature flag has been removed and the feature is on by default.\n\n## 5. Shipping something of no value\n\nWhen considering the smallest scope possible for an iteration, the ultimate test needs to be whether it delivers something of value to the end user. Don’t confuse iteration with making progress on an initiative or checking off items on your to-do list.\n\nFor example, when building a new feature you may need to do a fair amount of set up. You may ship to production code that adds a configuration or capability that you’ll need to build the feature, but it’s completely transparent to the user. While that can be considered progress on your project timeline, it is not an iteration. The iteration completes when the user can start to derive some value from your efforts.\n\n## 6. An excuse to focus on unimportant items\n\nIteration will help you move faster and deliver more things, but you still have to prioritize and focus on what’s most important. When picking what to work on, you shouldn’t do first what’s smallest in scope. Instead, pick what will give you the highest value for the effort you’ll put in.\n\n## 7. Changing or lowering goalposts\n\nChanging a goal or lowering a goal is not iteration. Iteration is reducing the scope and keeping it small, but the reduced scope still needs to meet your goals. As you practice iteration, you may set goals for smaller time periods, which is a good practice I recommend. But changing the goal post is not a part of iteration.\n\n## 8. Revisions you don't ship or publish\n\nIt’s a common mistake to confuse revisions with iterations. To clearly understand the difference, see whether you’ve shipped or delivered something of value to the end user. If you haven’t, it is a revision, not an iteration.\n\nFor example, if when writing a blog post you get a draft reviewed and rewritten several times before publishing, those are considered revisions. Your first iteration is completed once you’ve published the first version of the blog post.\n\n## 9. An excuse to impose unrealistically tight timelines\n\nIf you set a timeline, it has to be realistic. I’ve seen instances in which people confuse iteration with just shrinking the timeline to something unrealistic. That is not iterating. Iteration is minimizing scope, but it requires a disciplined review of the scope to ensure that you’re allocating the right amount of time to complete it.\n\n## 10. An excuse to avoid planning\n\nSometimes teams confuse iteration with moving quickly on something without planning. This is not iterating. By reducing the scope, there will be less planning involved compared to the initial larger scope. But, no matter how small you make the scope of work, you need to plan, and that planning can be quite involved. You need to set an appropriate timeline to deliver the work and plan appropriately for reviews and dependencies.\n\nNot planning appropriately for an iteration negatively impacts efficiency, team morale, and can impact people’s lives outside of work. This needs to be avoided.\n\n## 11. Imposing long hours\n\nDon’t confuse iteration with imposing long working hours for a team. The goal of iterating is to scope work in a way that helps you deliver more tangible value within the same amount of time. Increasing the number of hours that the team works is not iteration.\n\n## 12. Expecting others to fix your work\n\nWhen you iterate, you need to take ownership and make sure that the end result is of value and meets all expectations of a finished product. You should not call an iteration complete if the work still requires fixing in order to be of value or meet quality expectations.\n\nAs GitLab grows as a company, reinforcing our Iteration value and staying clear about what is an iteration is fundamental to us [staying a startup](/company/still-a-startup/). I hope these 12 examples that are not iteration are helpful and empower everyone to help identify and correct situations when iteration is used incorrectly. Using iteration correctly will help us continue to move fast and deliver more value to our customers. It will also help keep the day-to-day momentum as we deliver valuable results.\n\nWatch this GitLab Unfiltered video where I discuss these 12 shortcuts that are not iteration.\n\n\u003C!-- blank line -->\n\n\u003Cfigure class=\"video_container\">\n\n\u003Ciframe src=\"https://www.youtube.com/embed/BW6TWwNZzIQ\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\n\u003C/figure>\n\n\u003C!-- blank line 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statement",{"items":677},[678,681,684],{"text":679,"config":680},"Terms",{"href":508,"dataGaName":509,"dataGaLocation":456},{"text":682,"config":683},"Cookies",{"dataGaName":518,"dataGaLocation":456,"id":519,"isOneTrustButton":28},{"text":685,"config":686},"Privacy",{"href":513,"dataGaName":514,"dataGaLocation":456},[688],{"id":689,"title":18,"body":8,"config":690,"content":692,"description":8,"extension":26,"meta":700,"navigation":28,"path":701,"seo":702,"stem":703,"__hash__":704},"blogAuthors/en-us/blog/authors/sid-sijbrandij.yml",{"template":691},"BlogAuthor",{"role":693,"name":18,"bio":694,"config":695},"Co-founder, Chief Executive Officer and Board Chair of GitLab Inc.","Sid Sijbrandij (pronounced see-brandy) is the Co-founder, Chief Executive Officer and Board Chair of GitLab Inc., the most comprehensive AI-powered DevSecOps platform. GitLab's single application helps organizations deliver software faster and more efficiently while strengthening their security and compliance.\n\nSid's career path has been anything but traditional. He spent four years building recreational submarines for U-Boat Worx and while at Ministerie van Justitie en Veiligheid he worked on the Legis project, which developed several innovative web applications to aid lawmaking. He first saw Ruby code in 2007 and loved it so much that he taught himself how to program. In 2012, as a Ruby programmer, he encountered GitLab and discovered his passion for open source. Soon after, Sid commercialized GitLab, and by 2015 he led the company through Y Combinator's Winter 2015 batch. Under his leadership, the company has grown with an estimated 30 million+ registered users from startups to global enterprises.\n\nSid studied at the University of Twente in the Netherlands where he received an M.S. in Management Science. Sid was named one of the greatest minds of the pandemic by Forbes for spreading the gospel of remote work.",{"headshot":696,"twitter":697,"linkedin":698,"ctfId":699},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749665383/Blog/Author%20Headshots/sytses-headshot.png","https://twitter.com/sytses","https://www.linkedin.com/in/sijbrandij","sytses",{},"/en-us/blog/authors/sid-sijbrandij",{},"en-us/blog/authors/sid-sijbrandij","ZdVvFbtL6NKLtKZEjFCVOecdpvuPzX3wmEZBrC6pRWg",[706,721,735],{"content":707,"config":719},{"description":708,"authors":709,"heroImage":711,"date":712,"title":713,"body":714,"category":9,"tags":715},"AI-generated code is 34% of development work. Discover how to balance productivity gains with quality, reliability, and security.",[710],"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.",[716,717,718],"AI/ML","DevOps platform","security",{"featured":28,"template":13,"slug":720},"ai-is-reshaping-devsecops-attend-gitlab-transcend-to-see-whats-next",{"content":722,"config":733},{"title":723,"description":724,"authors":725,"heroImage":727,"date":728,"body":729,"category":9,"tags":730},"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.",[726],"Emilio Salvador","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098354/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%281%29_5XrohmuWBNuqL89BxVUzWm_1750098354056.png","2025-10-07","Change is never easy, especially when it's not your choice. Atlassian's announcement that [all Data Center products will reach end-of-life by March 28, 2029](https://www.atlassian.com/blog/announcements/atlassian-ascend), means thousands of organizations must now reconsider their DevSecOps deployment and infrastructure. But you don't have to settle for deployment options that don't fit your needs. GitLab maintains your freedom to choose — whether you need self-managed for compliance, cloud for convenience, or hybrid for flexibility — all within a single AI-powered DevSecOps platform that respects your requirements.\n\nWhile other vendors force migrations to cloud-only architectures, GitLab remains committed to supporting the deployment choices that match your business needs. Whether you're managing sensitive government data, operating in air-gapped environments, or simply prefer the control of self-managed deployments, we understand that one size doesn't fit all.\n\n## The cloud isn't the answer for everyone\n\nFor the many companies that invested millions of dollars in Data Center deployments, including those that migrated to Data Center [after its Server products were discontinued](https://about.gitlab.com/blog/atlassian-server-ending-move-to-a-single-devsecops-platform/), this announcement represents more than a product sunset. It signals a fundamental shift away from customer-centric architecture choices, forcing enterprises into difficult positions: accept a deployment model that doesn't fit their needs, or find a vendor that respects their requirements.\n\nMany of the organizations requiring self-managed deployments represent some of the world's most important organizations: healthcare systems protecting patient data, financial institutions managing trillions in assets, government agencies safeguarding national security, and defense contractors operating in air-gapped environments.\n\nThese organizations don't choose self-managed deployments for convenience; they choose them for compliance, security, and sovereignty requirements that cloud-only architectures simply cannot meet. Organizations operating in closed environments with restricted or no internet access aren't exceptions — they represent a significant portion of enterprise customers across various industries.\n\n![GitLab vs. Atlassian comparison table](https://res.cloudinary.com/about-gitlab-com/image/upload/v1759928476/ynl7wwmkh5xyqhszv46m.jpg)\n\n## The real cost of forced cloud migration goes beyond dollars\n\nWhile cloud-only vendors frame mandatory migrations as \"upgrades,\" organizations face substantial challenges beyond simple financial costs:\n\n* **Lost integration capabilities:** Years of custom integrations with legacy systems, carefully crafted workflows, and enterprise-specific automations become obsolete. Organizations with deep integrations to legacy systems often find cloud migration technically infeasible.\n\n* **Regulatory constraints:** For organizations in regulated industries, cloud migration isn't just complex — it's often not permitted. Data residency requirements, air-gapped environments, and strict regulatory frameworks don't bend to vendor preferences. The absence of single-tenant solutions in many cloud-only approaches creates insurmountable compliance barriers.\n\n* **Productivity impacts:** Cloud-only architectures often require juggling multiple products: separate tools for planning, code management, CI/CD, and documentation. Each tool means another context switch, another integration to maintain, another potential point of failure. GitLab research shows [30% of developers spend at least 50% of their job maintaining and/or integrating their DevSecOps toolchain](https://about.gitlab.com/developer-survey/). Fragmented architectures exacerbate this challenge rather than solving it.\n\n## GitLab offers choice, commitment, and consolidation\n\nEnterprise customers deserve a trustworthy technology partner. That's why we've committed to supporting a range of deployment options — whether you need on-premises for compliance, hybrid for flexibility, or cloud for convenience, the choice remains yours. That commitment continues with [GitLab Duo](https://about.gitlab.com/gitlab-duo/), our AI solution that supports developers at every stage of their workflow.\n\nBut we offer more than just deployment flexibility. While other vendors might force you to cobble together their products into a fragmented toolchain, GitLab provides everything in a **comprehensive AI-native DevSecOps platform**. Source code management, CI/CD, security scanning, Agile planning, and documentation are all managed within a single application and a single vendor relationship.\n\nThis isn't theoretical. When Airbus and [Iron Mountain](https://about.gitlab.com/customers/iron-mountain/) evaluated their existing fragmented toolchains, they consistently identified challenges: poor user experience, missing functionalities like built-in security scanning and review apps, and management complexity from plugin troubleshooting. **These aren't minor challenges; they're major blockers for modern software delivery.**\n\n## Your migration path: Simpler than you think\n\nWe've helped thousands of organizations migrate from other vendors, and we've built the tools and expertise to make your transition smooth:\n\n* **Automated migration tools:** Our [Bitbucket Server importer](https://docs.gitlab.com/user/project/import/bitbucket_server/) brings over repositories, pull requests, comments, and even Large File Storage (LFS) objects. For Jira, our [built-in importer](https://docs.gitlab.com/user/project/import/jira/) handles issues, descriptions, and labels, with professional services available for complex migrations.\n\n* **Proven at scale:** A 500 GiB repository with 13,000 pull requests, 10,000 branches, and 7,000 tags is likely to [take just 8 hours to migrate](https://docs.gitlab.com/user/project/import/bitbucket_server/) from Bitbucket to GitLab using parallel processing.\n\n* **Immediate ROI:** A [Forrester Consulting Total Economic Impact™ study commissioned by GitLab](https://about.gitlab.com/resources/study-forrester-tei-gitlab-ultimate/) found that investing in GitLab Ultimate confirms these benefits translate to real bottom-line impact, with a three-year 483% ROI, 5x time saved in security related activities, and 25% savings in software toolchain costs.\n\n## Start your journey to a unified DevSecOps platform\n\nForward-thinking organizations aren't waiting for vendor-mandated deadlines. They're evaluating alternatives now, while they have time to migrate thoughtfully to platforms that protect their investments and deliver on promises.\n\nOrganizations invest in self-managed deployments because they need control, compliance, and customization. When vendors deprecate these capabilities, they remove not just features but the fundamental ability to choose environments matching business requirements.\n\nModern DevSecOps platforms should offer complete functionality that respects deployment needs, consolidates toolchains, and accelerates software delivery, without forcing compromises on security or data sovereignty.\n\n[Talk to our sales team](https://about.gitlab.com/sales/) today about your migration options, or explore our [comprehensive migration resources](https://about.gitlab.com/move-to-gitlab-from-atlassian/) to see how thousands of organizations have already made the switch.\n\nYou also can [try GitLab Ultimate with GitLab Duo Enterprise](https://about.gitlab.com/free-trial/devsecops/) for free for 30 days to see what a unified DevSecOps platform can do for your organization.",[560,553,731,732],"product","features",{"featured":28,"template":13,"slug":734},"atlassian-ending-data-center-as-gitlab-maintains-deployment-choice",{"content":736,"config":746},{"title":737,"description":738,"authors":739,"heroImage":742,"date":743,"category":9,"tags":744,"body":745},"Why financial services choose single-tenant SaaS","Discover how GitLab Dedicated can help financial services organizations achieve compliant DevSecOps without compromising performance.",[740,741],"George Kichukov","Allie Holland","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662023/Blog/Hero%20Images/display-dedicated-for-government-article-image-0679-1800x945-fy26.png","2025-08-14",[614,717],"Walk into any major financial institution and you'll see the contradiction immediately. Past the armed guards, through the biometric scanners, beyond the reinforced walls and multiple security checkpoints, you'll find developers building the algorithms that power global finance — on shared infrastructure alongside millions of strangers.\n\nThe software powering today's financial institutions is anything but ordinary. It includes credit risk models that protect billions in assets, payment processing algorithms handling millions of transactions, customer intelligence platforms that drive business strategy, and regulatory systems ensuring operational compliance  — all powered by source code that serves as both operational core and strategic asset.\n\n## When shared infrastructure becomes systemic risk\n\nThe rise of software-as-a-service platforms has created an uncomfortable reality for financial institutions. Every shared tenant becomes an unmanaged third-party risk, turning platform-wide incidents into industry-wide disruptions. This is the exact kind of concentration risk drawing increasing attention from regulators.\n\nJPMorgan Chase's Chief Information Security Officer Patrick Opet recently issued a stark warning to the industry in an [open letter](https://www.jpmorgan.com/technology/technology-blog/open-letter-to-our-suppliers) to third-party suppliers. He highlighted how SaaS adoption \"is creating a substantial vulnerability that is weakening the global economic system\" by embedding \"concentration risk into global critical infrastructure.\" The letter emphasizes that \"an attack on one major SaaS or PaaS provider can immediately ripple through its customers,” creating exactly the systemic risk that multi-tenant cloud platforms for source code management, CI builds, CD deployments, and security scanning introduce.\n\nConsider the regulatory complexity this creates. In shared environments, your compliance posture becomes hostage to potential incidents impacting other tenants as well as the concentration risks of large attack surface providers. A misconfiguration affecting any organization on the platform can trigger wider impact across the entire ecosystem. \n\nData sovereignty challenges compound this risk. Shared platforms distribute workloads across multiple regions and jurisdictions, often without granular control over where your source code executes. For institutions operating under strict regulatory requirements, this geographic distribution can create compliance gaps that are difficult to remediate.\n\nThen there's the amplification effect. Every shared tenant effectively becomes an indirect third-party risk to your operations. Their vulnerabilities increase your attack surface. Their incidents can impact your availability. Their compromises can affect your environment.\n\n## Purpose-built for what matters most\n\nGitLab recognizes that your source code deserves the same security posture as your most sensitive customer data. Rather than forcing you to choose between cloud-scale efficiency and enterprise-grade security, GitLab delivers both through [GitLab Dedicated](https://about.gitlab.com/dedicated/), purpose-built infrastructure that maintains complete isolation.\n\nYour development workflows, source code [repositories](https://docs.gitlab.com/user/project/repository/), and [CI/CD pipelines](https://docs.gitlab.com/ci/pipelines/) run in an environment exclusively dedicated to your organization. The [hosted runners](https://docs.gitlab.com/administration/dedicated/hosted_runners/) for GitLab Dedicated exemplify this approach. These runners connect securely to your data center through outbound private links, allowing access to your private services without exposing any traffic to the public internet. The [auto-scaling architecture](https://docs.gitlab.com/runner/runner_autoscale/) provides the performance you need, without compromising security or control. \n \n## Rethinking control\n\nFor financial institutions, minimizing shared risk is only part of the equation — true resilience requires precise control over how systems operate, scale, and comply with regulatory frameworks. GitLab Dedicated enables comprehensive data sovereignty through multiple layers of customer control. You maintain complete authority over [encryption keys](https://docs.gitlab.com/administration/dedicated/encryption/#encrypted-data-at-rest) through [bring-your-own-key (BYOK)](https://docs.gitlab.com/administration/dedicated/encryption/#bring-your-own-key-byok) capabilities, ensuring that sensitive source code and configuration data remains accessible only to your organization. Even GitLab cannot access your encrypted data without your keys.\n\n[Data residency](https://docs.gitlab.com/subscriptions/gitlab_dedicated/data_residency_and_high_availability/) becomes a choice rather than a constraint. You select your preferred AWS region to meet regulatory requirements and organizational data governance policies, maintaining full control over where your sensitive source code and intellectual property are stored.\n\nThis control extends to [compliance frameworks](https://docs.gitlab.com/user/compliance/compliance_frameworks/) that financial institutions require. The platform provides [comprehensive audit trails](https://docs.gitlab.com/user/compliance/audit_events/) and logging capabilities that support compliance efforts for financial services regulations like [Sarbanes-Oxley](https://about.gitlab.com/compliance/sox-compliance/) and [GLBA Safeguards Rule](https://www.ftc.gov/business-guidance/privacy-security/gramm-leach-bliley-act).\n\nWhen compliance questions arise, you work directly with GitLab's dedicated support team — experienced professionals who understand the regulatory challenges that organizations in highly regulated industries face.\n\n## Operational excellence without operational overhead\n\nGitLab Dedicated maintains [high availability](https://docs.gitlab.com/subscriptions/gitlab_dedicated/data_residency_and_high_availability/) with [built-in disaster recovery](https://docs.gitlab.com/subscriptions/gitlab_dedicated/), ensuring your development operations remain resilient even during infrastructure failures. The dedicated resources scale with your organization's needs without the performance variability that shared environments introduce.\n\nThe [zero-maintenance approach](https://docs.gitlab.com/subscriptions/gitlab_dedicated/maintenance/) to CI/CD infrastructure eliminates a significant operational burden. Your teams focus on development while GitLab manages the underlying infrastructure, auto-scaling, and maintenance — including rapid security patching to protect your critical intellectual property from emerging threats. This operational efficiency doesn't come at the cost of security: the dedicated infrastructure provides enterprise-grade controls while delivering cloud-scale performance.\n\n## The competitive reality\n\nWhile some institutions debate infrastructure strategies, industry leaders are taking decisive action. [NatWest Group](https://about.gitlab.com/press/releases/2022-11-30-gitlab-dedicated-launches-to-meet-complex-compliance-requirements/), one of the UK's largest financial institutions, chose GitLab Dedicated to transform their engineering capabilities:\n\n> *\"NatWest Group is adopting GitLab Dedicated to enable our engineers to use a common cloud engineering platform; delivering new customer outcomes rapidly, frequently and securely with high quality, automated testing, on demand infrastructure and straight-through deployment. This will significantly enhance collaboration, improve developer productivity and unleash creativity via a 'single-pane-of-glass' for software development.\"*\n>\n> **Adam Leggett**, Platform Lead - Engineering Platforms, NatWest\n\n## The strategic choice\n\nThe most successful financial institutions face a unique challenge: They have the most to lose from shared infrastructure risks, but also the resources to architect better solutions. \n\n**The question that separates industry leaders from followers:** Will you accept shared infrastructure risks as the price of digital transformation, or will you invest in infrastructure that treats your source code with the strategic importance it deserves?\n\nYour trading algorithms aren't shared. Your risk models aren't shared. Your customer data isn't shared.\n\n**Why is your development platform shared?**\n\n*Ready to treat your source code like the strategic asset it is? [Let’s chat](https://about.gitlab.com/solutions/finance/) about how GitLab Dedicated provides the security, compliance, and performance that financial institutions demand — without the compromises of shared infrastructure.*",{"featured":12,"template":13,"slug":747},"why-financial-services-choose-single-tenant-saas",{"promotions":749},[750,764,775],{"id":751,"categories":752,"header":754,"text":755,"button":756,"image":761},"ai-modernization",[753],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":757,"config":758},"Get your AI maturity score",{"href":759,"dataGaName":760,"dataGaLocation":242},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":762},{"src":763},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":765,"categories":766,"header":767,"text":755,"button":768,"image":772},"devops-modernization",[731,9],"Are you just managing tools or shipping innovation?",{"text":769,"config":770},"Get your DevOps maturity score",{"href":771,"dataGaName":760,"dataGaLocation":242},"/assessments/devops-modernization-assessment/",{"config":773},{"src":774},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":776,"categories":777,"header":778,"text":755,"button":779,"image":783},"security-modernization",[718],"Are you trading speed for security?",{"text":780,"config":781},"Get your security maturity score",{"href":782,"dataGaName":760,"dataGaLocation":242},"/assessments/security-modernization-assessment/",{"config":784},{"src":785},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":787,"blurb":788,"button":789,"secondaryButton":794},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":790,"config":791},"Get your free trial",{"href":792,"dataGaName":49,"dataGaLocation":793},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":494,"config":795},{"href":53,"dataGaName":54,"dataGaLocation":793},1772652066596]