[{"data":1,"prerenderedAt":784},["ShallowReactive",2],{"/en-us/blog/gitlab-named-a-leader-in-the-2025-gartner-magic-quadrant-for-devops-platforms":3,"navigation-en-us":35,"banner-en-us":435,"footer-en-us":445,"blog-post-authors-en-us-Manav Khurana":687,"blog-related-posts-en-us-gitlab-named-a-leader-in-the-2025-gartner-magic-quadrant-for-devops-platforms":702,"assessment-promotions-en-us":735,"next-steps-en-us":774},{"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":31,"tagSlugs":32,"__hash__":34},"blogPosts/en-us/blog/gitlab-named-a-leader-in-the-2025-gartner-magic-quadrant-for-devops-platforms.yml","Gitlab Named A Leader In The 2025 Gartner Magic Quadrant For Devops Platforms",[7],"manav-khurana",null,"product",{"featured":11,"template":12,"slug":13},true,"BlogPost","gitlab-named-a-leader-in-the-2025-gartner-magic-quadrant-for-devops-platforms",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"GitLab named a Leader in the 2025 Gartner Magic Quadrant for DevOps Platforms","GitLab ranks 1st in 4 out of 6 use cases in the accompanying 2025 Gartner® Critical Capabilities report.",[18],"Manav Khurana","https://res.cloudinary.com/about-gitlab-com/image/upload/v1758812952/yxhgljkwljld0lyizmaz.png","2025-09-25","For the third consecutive year, GitLab has been named a **Leader in the 2025 Gartner® Magic Quadrant™ for DevOps Platforms**, based on Ability to Execute and Completeness of Vision. More importantly, GitLab ranks 1st in 4 out of 6 use cases — Agile Software Delivery, Cloud-Native Application Delivery, Platform Engineering, and Regulated Delivery — in the accompanying 2025 Gartner® Critical Capabilities for DevOps Platforms report.\n\nWe believe this recognition validates our comprehensive platform strategy at a critical moment for software development. Organizations are racing to adopt AI-powered capabilities while maintaining security, compliance, and operational excellence. Success demands a unified platform approach that transforms how teams collaborate and deliver value.\n\nWhether our customers are delivering agile software, building cloud-native applications, or engineering platforms, GitLab empowers them to collaborate in lockstep with AI agents to ship secure and reliable software, faster. \n\n![2025 Gartner® Magic Quadrant™ for DevOps Platforms](https://res.cloudinary.com/about-gitlab-com/image/upload/v1758812615/sfchvkvtczmzqlaalk7y.png)\n\n\u003Cp>\u003C/p>\n\n> [Download the reports](https://about.gitlab.com/gartner-magic-quadrant/) to learn more.\n\n## Faster time to value\n\nOur mission is to enable everyone to contribute to and co-create the software that powers our world. [The rapid pace of our innovation agenda](https://about.gitlab.com/blog/gitlab-18-4-ai-native-development-with-automation-and-insight/) demonstrates that we are far from finished. We have shipped new solutions to our customers every month for 150+ months, and that tradition will continue. \n\nAs we lead the industry, we remain committed to helping our customers translate these new capabilities into business value. \n\nWe firmly believe that, in this era of accelerating AI-powered innovation across the technology ecosystem, [a unified platform approach](https://about.gitlab.com/blog/why-are-organizations-moving-to-a-unified-devsecops-platform/) to tackle our customers’ toughest engineering challenges has never been more important than today. This approach enables organizations to reduce integration overhead, close security gaps, and adopt innovation without disrupting existing software delivery workflows. \n\nHere are a few examples: \n\n* **Accelerate releases with agentic AI:** Fragmented toolchains slow down code reviews and testing. GitLab Duo agents and flows automate tasks like code reviews, test generation, and vulnerability triage in the context of the full platform, helping teams shorten cycle times and improve quality.  \n* **Build securely from the start:** Many organizations treat security as an afterthought, leading to costly rework and compliance gaps. GitLab embeds scanning, policy enforcement, and compliance checks into everyday workflows, catching risks earlier without slowing developers down.  \n* **Deploy with flexibility:** Teams with strict regulatory or operational constraints need deployment options beyond multi-tenant SaaS. GitLab supports SaaS, self-managed, air-gapped, and [FedRAMP Moderate Authorized](https://about.gitlab.com/press/releases/2025-05-19-gitlab-announces-gitlab-achieves-fedramp-moderate-authorization/) environments, ensuring customers maintain control where competitors cannot.  \n* **Deliver consistent innovation:** Tool fragmentation makes adopting new features risky and disruptive. GitLab’s monthly releases deliver new capabilities, such as [GitLab Duo Agent Platform](https://about.gitlab.com/gitlab-duo-agent-platform/), expanded AI governance, and cloud integrations that teams can adopt without retooling.\n\n## Customer use cases that matter most\nTogether with the Magic Quadrant, we think the 2025 Gartner Critical Capabilities for DevOps Platforms report evaluates how well platforms serve real-world customer scenarios. GitLab ranked 1st in 4 out of 6 use cases.\n\nGitLab supports the following areas of innovation:\n\n* [**Integrated toolset**](https://about.gitlab.com/platform/) for cloud-native delivery and enterprise scale  \n* [**Advanced planning tools**](https://about.gitlab.com/solutions/agile-delivery/) and [**extensive security features**](https://about.gitlab.com/solutions/application-security-testing/)  \n* [**Package management**](https://about.gitlab.com/stages-devops-lifecycle/package/) and feature flags for progressive delivery  \n* [**Value stream metrics**](https://about.gitlab.com/solutions/analytics-and-insights/) for visibility and improvement across the lifecycle  \n* [**AI-native workflows**](https://about.gitlab.com/gitlab-duo-agent-platform/), embedded directly into daily tasks\n\nThis versatility translates into real customer value, as Bal Kang, Engineering Platform Lead at NatWest, explains: \n\n*“Having GitLab Duo AI agents embedded in our system of record for code, tests, CI/CD, and the entire software development lifecycle boosts productivity, velocity, and efficiency. The agents understand intent, break down problems, and take action — becoming true collaborators to our teams.”*\n\nThe shift toward unified platforms represents a fundamental change in how organizations approach software development. We believe this is why, recently, Gartner® also named us [a Leader in the 2025 Magic Quadrant™ for AI Code Assistants](https://about.gitlab.com/blog/gitlab-named-a-leader-in-the-2025-gartner-magic-quadrant-for-ai-code-assistants/). \n\nAs companies look to maximize developer productivity securely and accelerate innovation, a comprehensive platform approach becomes more urgent than ever.\n\n> [Download the reports](https://about.gitlab.com/gartner-magic-quadrant/) to learn more.\n\n*Source: Gartner, Magic Quadrant for DevOps Platforms, Keith Mann, Thomas Murphy, Bill Holz, George Spafford, September 22, 2025*\n\n*Source: Gartner, Critical Capabilities for DevOps Platforms, Thomas Murphy, Keith Mann, George Spafford, Bill Holz, September 22, 2025*\n\n*GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.*\n\n*Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.*\n*This graphic was published by Gartner Inc. as part of a larger report and should be evaluated in the context of the entire document. 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Officer",{},"/en-us/blog/authors/manav-khurana",{},"en-us/blog/authors/manav-khurana","WPf_e-a2ANF9NZNGy_Bgnh0lD4PNHo-M2Mvj_vKvTUg",[703,716,726],{"content":704,"config":714},{"title":705,"description":706,"authors":707,"heroImage":709,"body":710,"date":711,"category":9,"tags":712},"New 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. More are coming throughout the year, and we hope you’ll help us make them as useful as possible.\n","2026-02-25",[104,9,713],"features",{"featured":11,"template":12,"slug":715},"new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks",{"content":717,"config":724},{"title":718,"description":719,"heroImage":720,"date":711,"category":9,"tags":721},"GitLab Patch Release: 18.9.1, 18.8.5, 18.7.5","Learn more about this patch release for GitLab Community Edition and Enterprise Edition.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749661926/Blog/Hero%20Images/security-patch-blog-image-r2-0506-700x400-fy25_2x.jpg",[722,723],"patch releases","security releases",{"featured":30,"template":12,"externalUrl":725},"https://about.gitlab.com/releases/2026/02/25/patch-release-gitlab-18-9-1-released/",{"content":727,"config":733},{"title":728,"description":729,"heroImage":709,"date":730,"tags":731,"category":9},"GitLab 18.9 released","Read about GitLab Duo Agent Platform self-hosted models now available for cloud licenses, vulnerability resolution with GitLab Duo Agent Platform, and more.","2026-02-19",[9,732],"releases",{"featured":30,"template":12,"externalUrl":734},"https://about.gitlab.com/releases/2026/02/19/gitlab-18-9-released/",{"promotions":736},[737,751,762],{"id":738,"categories":739,"header":741,"text":742,"button":743,"image":748},"ai-modernization",[740],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":744,"config":745},"Get your AI maturity score",{"href":746,"dataGaName":747,"dataGaLocation":239},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":749},{"src":750},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":752,"categories":753,"header":754,"text":742,"button":755,"image":759},"devops-modernization",[9,555],"Are you just managing tools or shipping innovation?",{"text":756,"config":757},"Get your DevOps maturity score",{"href":758,"dataGaName":747,"dataGaLocation":239},"/assessments/devops-modernization-assessment/",{"config":760},{"src":761},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":763,"categories":764,"header":766,"text":742,"button":767,"image":771},"security-modernization",[765],"security","Are you trading speed for security?",{"text":768,"config":769},"Get your security maturity score",{"href":770,"dataGaName":747,"dataGaLocation":239},"/assessments/security-modernization-assessment/",{"config":772},{"src":773},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":775,"blurb":776,"button":777,"secondaryButton":782},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":778,"config":779},"Get your free trial",{"href":780,"dataGaName":46,"dataGaLocation":781},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":491,"config":783},{"href":50,"dataGaName":51,"dataGaLocation":781},1772652074517]