[{"data":1,"prerenderedAt":783},["ShallowReactive",2],{"/en-us/blog/gitlab-18-6-from-configuration-to-control":3,"navigation-en-us":36,"banner-en-us":436,"footer-en-us":446,"blog-post-authors-en-us-Bill Staples":688,"blog-related-posts-en-us-gitlab-18-6-from-configuration-to-control":702,"assessment-promotions-en-us":734,"next-steps-en-us":773},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":25,"isFeatured":11,"meta":26,"navigation":11,"path":27,"publishedDate":20,"seo":28,"stem":32,"tagSlugs":33,"__hash__":35},"blogPosts/en-us/blog/gitlab-18-6-from-configuration-to-control.yml","Gitlab 18 6 From Configuration To Control",[7],"bill-staples",null,"product",{"featured":11,"template":12,"slug":13},true,"BlogPost","gitlab-18-6-from-configuration-to-control",{"heroImage":15,"title":16,"description":17,"authors":18,"date":20,"body":21,"category":9,"tags":22},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1763579840/jsobj2p6ff1vjruv0y1p.png","GitLab 18.6: From configuration to control","GitLab 18.6 empowers developers and security teams with AI choice and governance.",[19],"Bill Staples","2025-11-20","\n*Editor’s note: After this blog was originally published, the default Security Manager role was withdrawn from the release. It will be included in a future update. The content below has been updated for accuracy.*\n\nWith [GitLab 18.6](https://about.gitlab.com/releases/2025/11/20/gitlab-18-6-released/), we’re continuing to advance how AI integrates into everyday software development with enhancements that give teams greater choice and control. GitLab 18.6 will help plan, build, and secure software more intelligently across the entire software lifecycle.\nTeams now have greater flexibility to select the right models for their workflows, extend AI into secure and self-managed environments, and strengthen visibility and governance across every stage of development.\n\n## AI that adapts to you\n\n\n With 18.6, GitLab’s AI becomes more adaptable to real-world workflows. GitLab Duo Agents now plan with greater context, work seamlessly across IDEs and self-managed instances, and offer new open-source model options — helping teams accelerate delivery without compromising compliance or control.\n\n\n **GitLab Duo Planner and Security Analyst agent enhancements**  \n\n\n In 18.6, [GitLab Duo Planner](https://about.gitlab.com/blog/ace-your-planning-without-the-context-switching/) and [GitLab Duo Security Analyst](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/security_analyst_agent/) are now available by default in the Agentic Chat dropdown — no configuration or setup required. Both agents can be used immediately across projects and groups, giving teams built-in assistance for planning, issue refinement, and security analysis.\n\n\n GitLab Duo Planner agent now works at the group level with awareness of the epic being viewed and supports milestone and iteration workflows. Security Analyst agent provides automated vulnerability review, context interpretation, and guided remediation suggestions. Both agents are also available to self-managed customers.\n\n\n For a full list of what these agents can do, see the [documentation](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/).\n\n\n **gpt-oss-120b model support for GitLab Duo Agent Platform**  \n\n\n GitLab Duo Self-Hosted customers can now deploy the [**gpt-oss-120b**](https://platform.openai.com/docs/models/gpt-oss-120b) model within the GitLab Duo Agent Platform — a high-performance, fully open-source model optimized for agentic workflows. This addition enables teams to execute complex tasks and reasoning-driven processes while maintaining control over model transparency and infrastructure. For organizations that require open, auditable models to address compliance or data sovereignty requirements, gpt-oss-120b provides a reliable alternative to proprietary models without sacrificing performance.\n\n\n For more information on supported models, please see our [documentation](https://docs.gitlab.com/administration/gitlab_duo_self_hosted/supported_models_and_hardware_requirements/#supported-models).\n\n\n **End-user model selection for cloud-connected self-managed instances (GA)**  \n\n\n Cloud-connected self-managed end users can now choose which AI model powers their GitLab Duo Agentic Chat experience directly from the GitLab UI. This gives administrators and end users more control over how conversations perform and how costs and governance requirements are managed.\n\n\n No matter the deployment environment — on-premises, private cloud, or public cloud —  teams can select regionally compliant or in-house models to help satisfy data residency needs and compare model quality for speed or accuracy. This flexibility ensures that every organization can tailor Agentic Chat to its operational priorities.\n\n\n For full details on how to select a model in Agentic Chat, see the model selection section of the GitLab [documentation](https://docs.gitlab.com/user/gitlab_duo_chat/agentic_chat/#select-a-model).\n\n\n **Web IDE support for air-gapped deployments**  \n\n\n Air-gapped or tightly controlled environments — such as public sector organizations, defense agencies, and regulated enterprises — can now run the Web IDE with full functionality even without internet access. By allowing administrators to configure their own Web IDE extension host domain, GitLab enables markdown preview, code editing, and GitLab Duo Chat capabilities in isolated or offline systems. This makes it possible for development teams in secure or restricted networks to benefit from modern IDE workflows without sacrificing security and compliance.\n\n\n **Modern interface now default for self-managed instances**  \n\n\n Self-managed GitLab instances now default to the modern interface in 18.6, bringing the same streamlined experience already available on GitLab.com to on-premises deployments. The updated layout improves navigation consistency and makes core workflows more intuitive across the platform. Administrators maintain full flexibility with opt-out controls via feature flag or user-level toggling if needed. This update ensures self-managed customers benefit from GitLab's latest interface improvements while maintaining the control and customization options enterprise environments require.\n\n\n ## Platform security with awareness and authority \n\n\n GitLab 18.6 strengthens platform security with deeper context and clearer control, helping security teams focus on the risks that matter most while maintaining governance across every project.\n\n\n **Security attributes and context filtering**  \n\n\n Security teams can now apply custom business context labels to projects and groups, transforming raw scan results into prioritized, risk-based insights. Instead of viewing vulnerabilities in isolation, teams can tag projects by business unit, application type, or criticality — then filter and sort security data by impact. This allows organizations to focus remediation on the areas of greatest business risk, helping to accelerate time to resolution for the issues that matter most.\n\n\n ## AI that adapts to your workflow\n\n\n This release represents more than new capabilities — it's about how GitLab Duo Agent Platform is becoming an embedded part of everyday software development workflows. Watch a walkthrough video that shows how a member of your software development team can start on a new project using GitLab Duo Agent Platform:\n\n\n \u003Cdiv>\u003Ciframe src=\"https://player.vimeo.com/video/1138657697?badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"18.6 Demo (TO BE UPDATED)\">\u003C/iframe>\u003C/div>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n\n ## Get started today\n\n\n GitLab Premium and Ultimate users can start using these capabilities today on [GitLab.com](https://GitLab.com) and self-managed environments, with availability for GitLab Dedicated customers planned for next month. \n\n\n New to GitLab? [Start your free trial](https://about.gitlab.com/free-trial/devsecops/) and see why the future of development is AI-powered, secure, and orchestrated through the world’s most comprehensive DevSecOps platform.\n\n\n ***Note:** GitLab Duo Agent Platform is currently in beta. Platform capabilities that are in beta are available as part of the GitLab Beta program. They are free to use during the beta period, and when generally available, they are planned to be made available with a paid add-on option for GitLab Duo Agent Platform.*\n\n\n ### Stay up to date with GitLab\n\n\n To make sure you’re getting the latest features, security updates, and performance improvements, we recommend keeping your GitLab instance up to date. The following resources can help you plan and complete your upgrade:\n\n\n * [Upgrade Path Tool](https://gitlab-com.gitlab.io/support/toolbox/upgrade-path/) — enter your current version and see the exact upgrade steps for your instance  \n\n * [Upgrade Documentation](https://docs.gitlab.com/update/upgrade_paths/) — detailed guides for each supported version, including requirements, step-by-step instructions, and best practices\n\n\n By upgrading regularly, you’ll ensure your team benefits from the newest GitLab capabilities and remains secure and supported.\n\n\n For organizations that want a hands-off approach, consider [GitLab’s Managed Maintenance service](https://content.gitlab.com/viewer/d1fe944dddb06394e6187f0028f010ad#1). With Managed Maintenance, your team stays focused on innovation while GitLab experts keep your Self-Managed instance reliably upgraded, secure, and ready to lead in DevSecOps. Ask your account manager for more information.   \n\n\n\n *This blog post contains \"forward‑looking statements\" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934. Although we believe that the expectations reflected in these statements are reasonable, they are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause actual results or outcomes to differ materially. Further information on these risks and other factors is included under the caption \"Risk Factors\" in our filings with the SEC. We do not undertake any obligation to update or revise these statements after the date of this blog post, except as required by law.*",[23,9,24],"AI/ML","features","yml",{},"/en-us/blog/gitlab-18-6-from-configuration-to-control",{"config":29,"title":16,"description":31},{"noIndex":30},false,"GitLab 18.6 empowers developers and security teams with AI choice\n and governance.\n","en-us/blog/gitlab-18-6-from-configuration-to-control",[34,9,24],"aiml","_6T7tO1bt4sjCmlKBYvjSxuO80lVTc4MdD7QeHng7-g",{"data":37},{"logo":38,"freeTrial":43,"sales":48,"login":53,"items":58,"search":366,"minimal":397,"duo":416,"pricingDeployment":426},{"config":39},{"href":40,"dataGaName":41,"dataGaLocation":42},"/","gitlab logo","header",{"text":44,"config":45},"Get free trial",{"href":46,"dataGaName":47,"dataGaLocation":42},"https://gitlab.com/-/trial_registrations/new?glm_source=about.gitlab.com&glm_content=default-saas-trial/","free trial",{"text":49,"config":50},"Talk to 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GitLab metrics and registry features help reduce CI/CD bottlenecks","See how CI/CD Job Performance Metrics and Container Virtual Registry, currently in beta, help platform teams quickly spot slow jobs and simplify multi-registry container pulls.",[708],"Talia Armato-Helle","https://res.cloudinary.com/about-gitlab-com/image/upload/v1771438388/t6sts5qw4z8561gtlxiq.png","Platform and DevOps engineers spend too much time piecing together visibility across fragmented tools and managing infrastructure that should just work.\n\nTwo new GitLab features currently in beta tackle this from different angles but share the same goal: giving practitioners direct control over the CI/CD infrastructure they depend on, without adding another third-party tool. One surfaces job-level performance data right where you monitor pipelines. The other simplifies how you pull container images from multiple registries with built-in caching.\n\nBoth features are open for feedback now. Your input will help shape what ships next.\n\n## CI/CD Job Performance Metrics\n\n* **Available tiers:** GitLab Premium, GitLab Ultimate\n* **Status:** Limited-availability beta on GitLab.com; available on GitLab Self-Managed and GitLab Dedicated when ClickHouse is configured\n\nToday, there’s no simple way to see when a particular job’s duration starts increasing or which jobs are quietly dragging down your pipeline runtimes. Most teams either build custom dashboards or manually dig through logs to answer basic questions like:\n\n* Which jobs are slowest?  \n* Where are failure rates climbing?  \n* Which stage is the real bottleneck?\n\nCI/CD Job Performance Metrics changes that by adding a new job-focused panel to the CI/CD analytics page at the project level.\n\nFor each job in your pipelines, you can see:\n\n* Typical (P50, median) and worst‑case (P95) job duration, so you can quickly view normal versus slowest runs  \n* Failure rate, so you can spot fragile or flaky jobs  \n* Job name and stage, covering the last 30 days by default\n\nThe table is sortable, searchable by job name, and paginated, so platform teams get a single view to answer questions that previously required separate tools or custom reporting.\n\n**Try it now**\n\n* Navigate to your project and select **Analyze \\> CI/CD analytics**.  \n* Look for the CI/CD job performance metrics panel and sort by duration or failure rate to find your slowest or least reliable jobs.\n\n**Documentation**\n\n* [CI/CD analytics – CI/CD job performance metrics](https://docs.gitlab.com/user/analytics/ci_cd_analytics/#cicd-job-performance-metrics)\n\n**What’s coming next**\n\nWe’re working on stage-level grouping, so you can view aggregated metrics across your build, test, and deploy stages, and quickly understand where to focus optimization work.\n\n**Share your feedback:**\n\n* [CI/CD job performance metrics epic](https://gitlab.com/groups/gitlab-org/-/work_items/18548)\n\n## Container Virtual Registry\n\n**Tier:** GitLab Premium, GitLab Ultimate\n**Status:** Beta, API-ready in 18.9\n\nMost organizations pulling container images into CI/CD pipelines rely on multiple registries: Docker Hub, Harbor, Quay, and internal registries, to name a few. Managing authentication, availability, and caching across all of them is operational overhead that slows pipelines down and introduces fragility.\n\nThe Container Virtual Registry lets you create a single GitLab endpoint that pulls from multiple upstream container sources with built-in caching.\n\nInstead of configuring credentials and availability for each registry individually in your pipeline configuration, you can:\n\n* Point your pipelines at one GitLab virtual registry endpoint  \n* Configure multiple upstream registries (Docker Hub, Harbor, Quay, and others using long-lived token authentication)  \n* Let GitLab resolve image pulls automatically, with pull-through caching to reduce bandwidth costs and improve reliability\n\nFor teams evaluating GitLab as a container registry replacement, this closes a critical capability gap. For teams already managing multi-registry container workflows, it centralizes image management into GitLab and cuts down on repeated pulls.\n\n**What the beta supports today**\n\n* Upstream registries using long-lived token authentication: Docker Hub, Harbor, Quay, and other compatible registries  \n* Pull-through caching so commonly used images are served from GitLab after the first pull  \n* API-first configuration, with UI management in progress++\n\nCloud provider registries requiring IAM authentication (such as Amazon Elastic Container Registry, Google Artifact Registry, and Azure Container Registry) are being considered for future iterations.\n\n**Test it today**\n\n* The Container Virtual Registry is API-ready in 18.9.  \n* SaaS (GitLab.com): Request access through your CSM or by commenting on the feedback issue below to have the feature flag enabled for your group.  \n* Self-managed: Enable the feature flag and configure the virtual registry using the API.\n\n**Documentation**\n\n* [Container Virtual Registry API](https://docs.gitlab.com/api/container_virtual_registries/)  \n* [Pull container images from the virtual registry](https://docs.gitlab.com/user/packages/virtual_registry/container/#pull-container-images-from-the-virtual-registry)\n\n\n Watch this walkthrough of the Container Virtual Registry Beta:\n   \n\n  \u003Ciframe src=\"https://player.vimeo.com/video/1167512082?title=0&byline=0&portrait=0&badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"20260223_Container Virtual Registry Beta_V1\">\u003C/iframe>\u003C\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n  \u003Cbr>\u003C/br>\n\n\n\n**Share your feedback:**\n\n* [Container virtual registry feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/589630)\n\n## Help us build what matters\n\nEveryone in the GitLab community is a contributor. We built these betas based on community requests.\n\n* **CI/CD Job Performance Metrics** came from teams who had no easy way to see when build times started trending in the wrong direction, or which jobs were hurting pipeline reliability.  \n* **Container Virtual Registry** came from enterprise customers managing multiple registries and looking to reduce tool sprawl and bandwidth costs while evaluating GitLab as a central registry.\n\nYour feedback shapes what we create next. Try one or both of these betas, and share your experience in the linked feedback issues.\n\nThis is the first in a series of Core DevOps betas we plan to highlight. 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