[{"data":1,"prerenderedAt":796},["ShallowReactive",2],{"/en-us/blog/how-visualization-improves-the-gitlab-merge-train-experience":3,"navigation-en-us":39,"banner-en-us":438,"footer-en-us":448,"blog-post-authors-en-us-Payton Burdette|Veethika Mishra":689,"blog-related-posts-en-us-how-visualization-improves-the-gitlab-merge-train-experience":715,"assessment-promotions-en-us":747,"next-steps-en-us":786},{"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/how-visualization-improves-the-gitlab-merge-train-experience.yml","How Visualization Improves The Gitlab Merge Train Experience",[7,8],"payton-burdette","veethika-mishra",null,"product",{"slug":12,"featured":13,"template":14},"how-visualization-improves-the-gitlab-merge-train-experience",true,"BlogPost",{"title":16,"description":17,"authors":18,"heroImage":21,"date":22,"body":23,"category":10,"tags":24},"How visualization improves the GitLab merge train experience","Merge train visualization lets users closely track merge train activities and take actions with a better understanding of the impact on other MRs in the queue.",[19,20],"Payton Burdette","Veethika Mishra","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098825/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%2824%29_1KuzZLH1aSgBZsGVXGPIjf_1750098824773.png","2024-07-25","GitLab's merge train feature on the DevSecOps platform has worked wonders for organizations looking for a solution to automatically manage conflicts among different merge requests that are merged in close proximity to each other. [Merge trains](https://docs.gitlab.com/ee/ci/pipelines/merge_trains.html) support all merge methods and ensure all MRs work together, which saves time and reduces the stress of breaking the default branch, especially for teams dealing with long build times or a small fleet of runners. Merge trains also alleviate some of the burden on developers who have to track the progress of other MRs before pushing the \"Merge\" button.\n\nDespite the benefits of a merge train, without having a UI to visualize its inner workings, users find it hard to trust the process. Sometimes it is difficult to distinguish failures caused by user actions from those due to flaky runs. \n\nMoreover, the lack of visibility into what else is queued before or after a particular MR has made users less confident when taking actions such as merging immediately or removing MRs from the merge train.\n\nTo address this gap in user experience, we are introducing merge train visualization in GitLab (Premium and Ultimate tiers) for better visibility into and tracking of the merge train queue.\n\n## Merge train visualization\n\nBased on findings from user research and feedback, we have defined a set of requirements for the first iteration of this feature. Here’s what you can expect.\n\n### View merge trains\n\nCurrently, when a merge request is added to the train, a link to the merge train details page is surfaced on the pipeline widget.\n\n![Merge train running](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098833/Blog/Content%20Images/Blog/Content%20Images/image4_aHR0cHM6_1750098833102.png)\n\n### View list of MRs queued in a train\n\nWith the new merge train visualization, users can see a list of all MRs queued in the train. This transparency helps developers understand the order of merges and anticipate potential conflicts or issues. Knowing what is queued provides clarity and allows for better planning and coordination among team members.\n\n![List of MRs queued in the train](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098833/Blog/Content%20Images/Blog/Content%20Images/image1_aHR0cHM6_1750098833102.png)\n\n### View list of MRs already merged by the train\n\nIn addition to seeing what is queued, users can also view a list of MRs that have already been successfully merged by the train. This historical context is valuable for tracking progress and understanding the sequence of changes that have been integrated into the default branch.\n\n![List of merged MRs in the train](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098833/Blog/Content%20Images/Blog/Content%20Images/image3_aHR0cHM6_1750098833104.png)\n\n### Remove a merge request from the train straight from visualization\nThe new visualization also enables quick actions. The first action implemented is removing an MR from the merge train. This streamlined workflow reduces the time and effort required to manage merge trains, making it easier to respond to issues as they arise and maintain a smooth CI/CD pipeline.\n\n![Remove a merge request screen](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098833/Blog/Content%20Images/Blog/Content%20Images/image2_aHR0cHM6_1750098833107.png)\n\n## The benefits of merge train visualization\n\nMerge train visualization has the following benefits: \n\n1. Enhanced transparency and trust\n- By visualizing the merge train, GitLab provides users with the transparency they need to trust the system. Understanding what is happening within the merge train reduces uncertainty and builds confidence in the automated process.\n2. Improved efficiency and collaboration\n- Teams can work more efficiently by having a clear view of the merge train. Developers can better coordinate their efforts, avoid redundant work, and quickly address issues. This collaborative approach ensures smoother and faster integration of changes.\n3. Reduced risk of failures\n- With visibility into the merge train, users can identify and address potential conflicts or failures early. This proactive approach minimizes the risk of breaking the default branch, leading to more stable and reliable builds.\n\n## What’s next?\n\nAs we learn more about how users interact with the merge train visualization, we intend to [add more capabilities](https://gitlab.com/gitlab-org/gitlab/-/issues/277391/designs/mr-visualization-as-a-list.png) to the list view. Early ideas include displaying estimated time to merge, ability to re-order, and displaying removed merge requests from the train. If you have ideas that you want to share, don’t forget to leave a comment on [our feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/464774).\n\nWe believe that the merge train visualization will significantly enhance the user experience for developers using GitLab. By providing a clear and actionable view of the merge train, we aim to make the merge process more transparent, efficient, and reliable.\n\n> Sign up for a [free trial of GitLab Ultimate](https://gitlab.com/-/trial_registrations/new?glm_source=about.gitlab.com/blog&glm_content=default-saas-trial) to test-drive merge train 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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.",[721],"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&amp;byline=0&amp;portrait=0&amp;badge=0&amp;autopause=0&amp;player_id=0&amp;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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