[{"data":1,"prerenderedAt":798},["ShallowReactive",2],{"/en-us/blog/why-gitlab-self-managed-is-the-perfect-partner-for-the-public-sector":3,"navigation-en-us":39,"banner-en-us":438,"footer-en-us":448,"blog-post-authors-en-us-Elisabeth Burrows|Ashher Syed":690,"blog-related-posts-en-us-why-gitlab-self-managed-is-the-perfect-partner-for-the-public-sector":716,"assessment-promotions-en-us":749,"next-steps-en-us":788},{"id":4,"title":5,"authorSlugs":6,"body":9,"categorySlug":10,"config":11,"content":15,"description":9,"extension":27,"isFeatured":13,"meta":28,"navigation":13,"path":29,"publishedDate":22,"seo":30,"stem":35,"tagSlugs":36,"__hash__":38},"blogPosts/en-us/blog/why-gitlab-self-managed-is-the-perfect-partner-for-the-public-sector.yml","Why Gitlab Self Managed Is The Perfect Partner For The Public Sector",[7,8],"elisabeth-burrows","ashher-syed",null,"product",{"slug":12,"featured":13,"template":14},"why-gitlab-self-managed-is-the-perfect-partner-for-the-public-sector",true,"BlogPost",{"heroImage":16,"body":17,"authors":18,"updatedDate":21,"date":22,"title":23,"tags":24,"description":26,"category":10},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662023/Blog/Hero%20Images/display-dedicated-for-government-article-image-0679-1800x945-fy26.png","State and local government leaders are navigating new fiscal realities while needing to adopt modern security practices that keep pace with the rapid speed of software development. The Department of Government Efficiency's push to reduce U.S. federal spending creates uncertainty around the [$1.1 trillion in annual funding](https://www.govtech.com/voices/state-and-local-government-efficiency-gains-hinge-on-technology) that flows to state and local governments and comprises 36% of state revenues on average. As the full impact remains unclear, government leaders are already preparing for potential budget pressures while citizens continue demanding better digital services and faster delivery.\n    \nAdd to this financial pressure accelerating workforce retirements and ongoing modernization needs. And, as if that weren't enough, cybersecurity has reclaimed the top spot in NASCIO's [2025 State CIO priorities](https://www.nascio.org/resource-center/resources/state-cio-top-ten-policy-and-technology-priorities-for-2025/), reflecting escalating cyber threats that demand secure development practices. The bottom line: Agencies must do more with less *without* sacrificing on security.\n    \n[GitLab Self-Managed](https://docs.gitlab.com/subscriptions/self_managed/) with [GitLab Duo Self-Hosted](https://docs.gitlab.com/administration/gitlab_duo_self_hosted/) provides the comprehensive DevSecOps platform government organizations need to meet this moment and deliver efficient, secure services with AI-accelerated development.\n\n[Trusted across federal civilian agencies](https://about.gitlab.com/customers/), all branches of the Department of Defense, the intelligence community, and state and local governments, GitLab delivers enterprise-grade security within an organization's own infrastructure.\n    \n\"GitLab Self-Managed allows customers to run the full GitLab platform entirely in their own secure environment. Add in self-hosted large language models and highly customized models, and GitLab becomes the ultimate tool for disconnected DevSecOps teams,\" says Bruce Marco, GitLab Public Sector Senior Manager of Solutions Architecture.\n    \nThis deployment flexibility ensures data sovereignty while providing the application security and compliance features that help public sector organizations secure their development processes and supply chains when delivering applications to constituents.\n    \n## How GitLab Self-Managed delivers value for government\n    \nHere are some of the benefits of GitLab's intelligent DevSecOps platform for state and local government.\n    \n### Complete control with AI-powered efficiency\n    \nGitLab Self-Managed with GitLab Duo Self-Hosted provides total control over your infrastructure while delivering AI capabilities in secure, air-gapped environments. You install and maintain your own GitLab instance with administrative controls to customize and secure it as needed.\n    \nKey advantages include:\n    \n**Data sovereignty**: All data stays within your infrastructure boundaries with no external dependencies for core functionality. The platform works on-premises, in private clouds, or hybrid environments, including air-gapped configurations.\n    \n**Secure AI**: GitLab Duo Self-Hosted enables advanced AI capabilities within air-gapped environments, maintaining complete data sovereignty while meeting mission-critical security standards like NIST FIPS and ICD 503. All data and code remain within your environment and are never transmitted to external model providers.\n\n> [Learn more about GitLab Duo Self-Hosted](https://about.gitlab.com/the-source/ai/transforming-government-it-ai-for-air-gapped-environments/).\n    \n**From fragmentation to efficiency:** GitLab Self-Managed replaces expensive, fragmented toolchains with a single platform. [GitLab's 2024 Global DevSecOps Survey](https://about.gitlab.com/developer-survey/) found that 62% of developers are using six or more tools for software development. According to the [Forrester Total Economic Impact Study](https://tei.forrester.com/go/Gitlab/GitLabUltimate/?lang=en-us) (TEI), organizations that replaced point solutions and consolidated their toolchains with GitLab improved developer productivity and happiness, lowered their IT costs, and enhanced security while delivering better software faster and maintaining the highest security and quality standards.\n    \n### Built-in compliance that scales with your operations\n    \nGitLab Self-Managed addresses the compliance burden that consumes government resources while enabling agencies to balance security requirements with the speed needed for innovation. According to the [President's Management Agenda](https://trumpadministration.archives.performance.gov/PMA/Presidents_Management_Agenda.pdf), federal managers spend 40% of their time using antiquated processes to monitor compliance instead of analyzing data to improve results.\n    \nGitLab offers 50+ ready-to-use [compliance frameworks](https://docs.gitlab.com/user/compliance/compliance_frameworks/) covering ISO, SOC, NIST, and more, with the ability to map multiple overlapping controls into a single unified framework. GitLab's comprehensive [security scanner suite](https://docs.gitlab.com/user/application_security/continuous_vulnerability_scanning/), including SAST, DAST, container scanning, and software composition analysis, provides strong defense against emerging threats while providing continuous visibility into compliance posture rather than point-in-time assessments. Built-in support for [NIST's Secure Software Development Framework](https://trust.gitlab.com/) (SSDF), [dynamic SBOM](https://about.gitlab.com/blog/the-ultimate-guide-to-sboms/) generation, automated logging, provenance attestation, and comprehensive compliance dashboards ensures government agencies can report on and meet regulatory requirements while maintaining operational efficiency.\nForrester's TEI Study found that cybersecurity and software development teams using GitLab maintain issue-free software with 81% less effort by integrating security protocols throughout all stages of the SDLC.\n\n> Find out [how Lockheed Martin used GitLab's compliance framework](https://about.gitlab.com/customers/lockheed-martin/) to enforce software quality and automation to make releases and dependency management more efficient.\n\n## Measuring impact\n    \nWith the administration's focus on accelerating efficiencies, agencies must move beyond anecdotal evidence to concrete data-driven proof of their investments. GitLab’s comprehensive analytics dashboards ensure that agencies can not only meet efficiency mandates but demonstrate exactly how they're achieving them.\n    \nGitLab's unified platform provides the visibility agencies need to demonstrate efficiency gains through comprehensive analytics capabilities:\n\n* **End-to-end insight and visibility analytics:** Gain complete insights into your software development lifecycle, including DevSecOps maturity, [DORA metrics](https://docs.gitlab.com/user/analytics/dora_metrics/) , [usage trends](https://docs.gitlab.com/administration/analytics/usage_trends/), and [customizable dashboards](https://docs.gitlab.com/user/analytics/analytics_dashboards/) for real-time monitoring.\n\n* **Developer productivity:** Get insights into [developer productivity](https://docs.gitlab.com/user/analytics/productivity_analytics/), code coverage, and team performance on issues and merge requests. Customizable visualizations show which capabilities drive the most significant improvements.\n\n* **AI impact metrics:** GitLab's [AI Impact Dashboard](https://docs.gitlab.com/user/analytics/ai_impact_analytics/) offers clear visibility into performance improvements, letting leaders compare metrics between teams using AI and those who aren't. GitLab automatically tracks AI feature adoption to help optimize implementation strategies.\n\nThis measurement-driven approach doesn't just help justify current investments — it builds the evidence base for continued modernization that delivers measurable value to citizens while meeting efficiency mandates.\n\n## Your path forward: Start secure, scale smart\n    \nThe journey to modern DevSecOps doesn't require a wholesale transformation. Agencies can:\n     \n* **Start with core platform capabilities** to consolidate tools and reduce costs.\n     \n* **Add security automation** to strengthen compliance while reducing manual effort.\n    \n* **Introduce AI capabilities** when ready, starting with low-risk projects.\n* **Scale across the organization** as teams see success.\n\n## Experienced professionals at the ready\n\nGitLab's [Professional Services](https://about.gitlab.com/professional-services/) team has extensive experience in the public sector and understands your particular requirements. If you have multiple services, servers, and programs you need to migrate, we will help you plan that out.\n\n> Ready to migrate to GitLab? [Contact our sales team](https://about.gitlab.com/solutions/public-sector/) to start a conversation today.",[19,20],"Elisabeth Burrows","Ashher Syed","2025-07-30","2023-12-13","Why GitLab Self-Managed is the perfect partner for the public sector",[25,10],"public sector","GitLab Self-Managed helps state and local governments modernize DevSecOps with secure AI, compliance automation, and cost-efficient toolchain 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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.",[722],"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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