[{"data":1,"prerenderedAt":781},["ShallowReactive",2],{"/en-us/blog/how-we-supercharged-gitlab-ci-statuses-with-websockets":3,"navigation-en-us":36,"banner-en-us":435,"footer-en-us":445,"blog-post-authors-en-us-Payton Burdette":686,"blog-related-posts-en-us-how-we-supercharged-gitlab-ci-statuses-with-websockets":700,"assessment-promotions-en-us":732,"next-steps-en-us":771},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":25,"isFeatured":11,"meta":26,"navigation":27,"path":28,"publishedDate":20,"seo":29,"stem":32,"tagSlugs":33,"__hash__":35},"blogPosts/en-us/blog/how-we-supercharged-gitlab-ci-statuses-with-websockets.yml","How We Supercharged Gitlab Ci Statuses With Websockets",[7],"payton-burdette",null,"product",{"featured":11,"template":12,"slug":13},false,"BlogPost","how-we-supercharged-gitlab-ci-statuses-with-websockets",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"How we supercharged GitLab CI statuses with WebSockets","Learn how we reduced API calls on GitLab's CI job status updates from 45 million to 3.4 million calls per day. Users now see job status changes instantly instead of waiting up to 30 seconds.",[18],"Payton Burdette","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749663000/Blog/Hero%20Images/tanukilifecycle.png","2025-09-15","We just reduced API calls by 92.56% on GitLab's CI job status updates – from 45 million to 3.4 million calls per day. Instead of needing to wait up to half a minute, users now see job status changes instantly. Here's how we did it.\n\n## The problem: Polling in 2025\nIt's 2025, WebSockets are in and polling is out. Polling is more of a legacy method of getting \"real-time\" updates for software. It's time-driven, meaning clients make network calls to a server on an interval usually between 5 and 30 seconds. Even if the data hasn't changed, those network requests are made to try and get the most accurate data served to the client.\nWebSockets are event-driven, so you only make network requests to the server when the data has actually changed, i.e., a status in a database column changes from `pending` to `running`. Unlike traditional HTTP requests where the client repeatedly asks the server for updates (polling), WebSockets establish a persistent, two-way connection between the client and server. This means the server can instantly push updates to the client the moment something changes, eliminating unnecessary network traffic and reducing latency. For monitoring job statuses or real-time data, this is far more efficient than having clients poll the server every few seconds just to check if anything is different. \n## The transformation\nPreviously, the job header on the job log view was utilizing polling to get the most recent status for a single job. That component made a network request every 30 seconds no matter what to try and get the true state of the job.\n![Job header on job log view](https://res.cloudinary.com/about-gitlab-com/image/upload/v1757932872/b4zsw0zaasxnu5mm7szu.png)\n\nOur metrics showed that:\n* **547,145** network calls happened per 15 minutes\n* **45,729,530** network calls happened per 24 hours\nUsers experienced frustrating delays seeing status updates, and we were hammering our database.\n## Enter GraphQL subscriptions\n\nIn comes GraphQL subscriptions with WebSockets. GraphQL subscriptions are a feature that extends GraphQL beyond simple request-response queries and mutations, allowing clients to maintain a real-time connection to the server. While regular GraphQL queries fetch data once and return it, subscriptions let you say 'notify me whenever this specific data changes.' Under the hood, GraphQL subscriptions typically use WebSockets to maintain that persistent connection. Here's what we did:\n1. First, we refactored the job header component to use GraphQL for its data\n2. Then we implemented a GraphQL subscription to serve real-time updates with ActionCable (Rails' WebSocket framework).\n## The results\nAfter this implementation, our users now get truly real-time accurate job status – updates appear instantly when jobs change state. The performance gains are remarkable:\n* **92.56% reduction** in API calls for this component\n* Now averaging **39,670** network calls per 15 minutes (down from 547,145)\n* Only **3,403,395** network calls per 24 hours (down from 45,729,530)\nWe also monitored CPU utilization and operation rate per command over the last week and have not seen any significant increase on our services. Win-win for the software and the team.\n## What's next\nThis is just the beginning. We're working on making every CI status in the GitLab product real-time. Currently, many parts of GitLab's UI still rely on polling to check for updates. 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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.",[706],"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",[24,9,23],{"featured":27,"template":12,"slug":712},"new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks",{"content":714,"config":721},{"title":715,"description":716,"heroImage":717,"date":709,"category":9,"tags":718},"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",[719,720],"patch releases","security releases",{"featured":11,"template":12,"externalUrl":722},"https://about.gitlab.com/releases/2026/02/25/patch-release-gitlab-18-9-1-released/",{"content":724,"config":730},{"title":725,"description":726,"heroImage":707,"date":727,"tags":728,"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",[9,729],"releases",{"featured":11,"template":12,"externalUrl":731},"https://about.gitlab.com/releases/2026/02/19/gitlab-18-9-released/",{"promotions":733},[734,748,759],{"id":735,"categories":736,"header":738,"text":739,"button":740,"image":745},"ai-modernization",[737],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":741,"config":742},"Get your AI maturity score",{"href":743,"dataGaName":744,"dataGaLocation":239},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":746},{"src":747},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":749,"categories":750,"header":751,"text":739,"button":752,"image":756},"devops-modernization",[9,554],"Are you just managing tools or shipping innovation?",{"text":753,"config":754},"Get your DevOps maturity score",{"href":755,"dataGaName":744,"dataGaLocation":239},"/assessments/devops-modernization-assessment/",{"config":757},{"src":758},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":760,"categories":761,"header":763,"text":739,"button":764,"image":768},"security-modernization",[762],"security","Are you trading speed for security?",{"text":765,"config":766},"Get your security maturity score",{"href":767,"dataGaName":744,"dataGaLocation":239},"/assessments/security-modernization-assessment/",{"config":769},{"src":770},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":772,"blurb":773,"button":774,"secondaryButton":779},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":775,"config":776},"Get your free trial",{"href":777,"dataGaName":47,"dataGaLocation":778},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":491,"config":780},{"href":51,"dataGaName":52,"dataGaLocation":778},1772652074346]