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","GitLab and IBM have partnered to solve a fundamental disconnect in enterprise development: enabling mainframe developers to work with the same modern tools, workflows, and collaboration features as their distributed counterparts. GitLab Ultimate for IBM Z, a GitLab-certified, integrated DevSecOps solution tailored for the mainframe environment, does just that — allowing organizations to modernize their mainframe development workflows by facilitating a seamless migration from outdated legacy library managers. With CI/CD pipelines running natively on IBM z/OS, customers experience accelerated innovation and reduced operational costs.\n\n## Challenges of today's mainframe development\n\nEnterprise organizations that use IBM Z systems for mission-critical workloads face challenges that conventional DevSecOps tools aren’t equipped to address. Cloud-native teams benefit from modern [CI/CD](https://about.gitlab.com/topics/ci-cd/) pipelines, collaborative development, and automated testing. In contrast, mainframe teams are often left behind — stuck with outdated tools that lead to costly inefficiencies and operational silos.\n\nTeams often resort to workarounds, such as SSH connections and manual file transfers, which create security vulnerabilities and audit difficulties. When compliance requirements are stringent, these improvised solutions become unacceptable risks. Meanwhile, organizations maintain expensive parallel toolchains, with legacy mainframe development tools carrying premium licensing costs while delivering limited functionality compared to modern alternatives.\n\nThis fragmentation creates two problems: slower delivery cycles and difficulty attracting developers who expect modern development experiences.\n\n> **\"GitLab Ultimate for IBM Z represents an important step in addressing a long-standing industry challenge. IDC research shows that mainframe developers often work with legacy tooling that contributes to delivery inefficiencies and makes it harder to attract new talent. With this offering, modern DevSecOps capabilities and unified workflows are brought directly to the mainframe. This empowers developers to work more collaboratively and efficiently, while helping organizations accelerate innovation and integrate mainframe development into broader digital transformation strategies.\"** - Katie Norton, Research Manager, DevSecOps and Software Supply Chain Security at IDC\n\n## Unified development environments\n\nTrue modernization means more than just updating mainframe development. It means creating a unified platform where mainframe, cloud-native, web, and mobile development teams collaborate seamlessly.\n\nGitLab Ultimate for IBM Z enables developers to use consistent workflows whether they're deploying to z/OS, cloud, or on-premises infrastructure — knowledge transfers between teams instead of staying siloed. 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President, IBM Z Hybrid Cloud",{"headshot":705},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1750433790/essf1v0fbgzygctp8cuc.jpg",{},"/en-us/blog/authors/andy-bradfield",{},"en-us/blog/authors/andy-bradfield","r6RGrpwXYZpuFulamUY0UjzEpwoZJSyi7PKec81JxD0",[712,725,735],{"content":713,"config":723},{"title":714,"description":715,"authors":716,"heroImage":718,"body":719,"date":720,"category":10,"tags":721},"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.",[717],"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",[21,10,722],"features",{"featured":12,"template":13,"slug":724},"new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks",{"content":726,"config":733},{"title":727,"description":728,"heroImage":729,"date":720,"category":10,"tags":730},"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",[731,732],"patch releases","security releases",{"featured":32,"template":13,"externalUrl":734},"https://about.gitlab.com/releases/2026/02/25/patch-release-gitlab-18-9-1-released/",{"content":736,"config":742},{"title":737,"description":738,"heroImage":718,"date":739,"tags":740,"category":10},"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",[10,741],"releases",{"featured":32,"template":13,"externalUrl":743},"https://about.gitlab.com/releases/2026/02/19/gitlab-18-9-released/",{"promotions":745},[746,760,771],{"id":747,"categories":748,"header":750,"text":751,"button":752,"image":757},"ai-modernization",[749],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":753,"config":754},"Get your AI maturity score",{"href":755,"dataGaName":756,"dataGaLocation":241},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":758},{"src":759},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":761,"categories":762,"header":763,"text":751,"button":764,"image":768},"devops-modernization",[10,36],"Are you just managing tools or shipping innovation?",{"text":765,"config":766},"Get your DevOps maturity score",{"href":767,"dataGaName":756,"dataGaLocation":241},"/assessments/devops-modernization-assessment/",{"config":769},{"src":770},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":772,"categories":773,"header":775,"text":751,"button":776,"image":780},"security-modernization",[774],"security","Are you trading speed for security?",{"text":777,"config":778},"Get your security maturity score",{"href":779,"dataGaName":756,"dataGaLocation":241},"/assessments/security-modernization-assessment/",{"config":781},{"src":782},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":784,"blurb":785,"button":786,"secondaryButton":791},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":787,"config":788},"Get your free trial",{"href":789,"dataGaName":49,"dataGaLocation":790},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":492,"config":792},{"href":53,"dataGaName":54,"dataGaLocation":790},1772652075317]