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GitLab-Metriken und Registry-Funktionen reduzieren CI/CD-Engpässe","CI/CD Job Performance Metrics und Container Virtual Registry, derzeit in der Beta, helfen Plattform-Teams dabei, langsame Jobs zu identifizieren und Multi-Registry-Container-Pulls zu vereinfachen.",[652],"Talia Armato-Helle","https://res.cloudinary.com/about-gitlab-com/image/upload/v1771438388/t6sts5qw4z8561gtlxiq.png","Plattform- und DevOps-Ingenieure verbringen zu viel Zeit damit, Transparenz über fragmentierte Tools hinweg herzustellen und Infrastruktur zu verwalten, die einfach funktionieren sollte.\n\nZwei neue GitLab-Funktionen, derzeit in der Beta, gehen dieses Problem aus unterschiedlichen Richtungen an – mit demselben Ziel: Praktikern direkte Kontrolle über die CI/CD-Infrastruktur zu geben, auf die sie angewiesen sind, ohne ein weiteres Drittanbieter-Tool einzuführen. Die eine Funktion liefert Job-Performance-Daten direkt dort, wo Pipelines überwacht werden. Die andere vereinfacht das Abrufen von Container-Images aus mehreren Registries mit integriertem Caching.\n\nBeide Funktionen sind jetzt für Feedback offen. Rückmeldungen helfen dabei, die nächsten Entwicklungsschritte zu gestalten.\n\n## CI/CD Job Performance Metrics\n\n* **Verfügbare Tiers:** GitLab Premium, GitLab Ultimate\n* **Status:** Beta mit eingeschränkter Verfügbarkeit auf GitLab.com; verfügbar auf GitLab Self-Managed und GitLab Dedicated bei konfiguriertem ClickHouse\n\nBislang gibt es keine einfache Möglichkeit zu erkennen, wenn die Laufzeit eines bestimmten Jobs zunimmt oder welche Jobs die Pipeline-Laufzeiten im Hintergrund verlangsamen. Die meisten Teams erstellen entweder eigene Dashboards oder durchsuchen manuell Logs, um grundlegende Fragen zu beantworten:\n\n* Welche Jobs sind am langsamsten?\n* Wo steigen die Fehlerquoten?\n* Welche Stage ist der eigentliche Engpass?\n\nCI/CD Job Performance Metrics löst das durch ein neues job-fokussiertes Panel auf der CI/CD-Analytics-Seite auf Projektebene.\n\nFür jeden Job in den Pipelines sind folgende Informationen einsehbar:\n\n* Typische (P50, Median) und ungünstigste (P95) Job-Laufzeit für einen schnellen Vergleich zwischen normalem und langsamstem Lauf\n* Fehlerquote zur Erkennung instabiler oder unzuverlässiger Jobs\n* Job-Name und Stage, standardmäßig für die letzten 30 Tage\n\nDie Tabelle ist sortierbar, nach Job-Name durchsuchbar und paginiert – Plattform-Teams erhalten so eine einheitliche Ansicht für Fragen, die bisher separate Tools oder eigene Berichte erforderten.\n\n**Jetzt ausprobieren**\n\n* Im Projekt **Analysieren > CI/CD-Analyse** aufrufen.\n* Das CI/CD Job Performance Metrics-Panel suchen und nach Laufzeit oder Fehlerquote sortieren, um die langsamsten oder unzuverlässigsten Jobs zu finden.\n\n**Dokumentation**\n\n* [CI/CD-Analyse – CI/CD Job Performance Metrics](https://docs.gitlab.com/user/analytics/ci_cd_analytics/#cicd-job-performance-metrics)\n\n**Was als Nächstes kommt**\n\nAktuell wird an einer Stage-Level-Gruppierung gearbeitet, mit der aggregierte Metriken über Build-, Test- und Deploy-Stages hinweg einsehbar sein werden – für ein schnelles Verständnis davon, wo Optimierungsbedarf besteht.\n\n**Feedback geben:**\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\n**Status:** Beta, API-ready in 18.9\n\nDie meisten Unternehmen, die Container-Images in CI/CD-Pipelines abrufen, sind auf mehrere Registries angewiesen: Docker Hub, Harbor, Quay und interne Registries, um nur einige zu nennen. Authentifizierung, Verfügbarkeit und Caching für all diese Registries zu verwalten, ist operativer Aufwand, der Pipelines verlangsamt und Fehleranfälligkeit erhöht.\n\nDie Container Virtual Registry ermöglicht die Erstellung eines einzigen GitLab-Endpunkts, der Images aus mehreren vorgelagerten Container-Quellen mit integriertem Caching abruft.\n\nStatt Zugangsdaten und Verfügbarkeit für jede Registry einzeln in der Pipeline-Konfiguration einzurichten, lässt sich:\n\n* Eine einzelne virtuelle GitLab-Registry als Endpunkt für alle Pipelines konfigurieren\n* Mehrere vorgelagerte Registries einbinden (Docker Hub, Harbor, Quay und andere mit Long-Lived-Token-Authentifizierung)\n* GitLab Image-Pulls automatisch auflösen lassen, mit Pull-Through-Caching zur Reduzierung von Bandbreitenkosten und verbesserter Zuverlässigkeit\n\nFür Teams, die GitLab als Container-Registry-Ersatz evaluieren, schließt dies eine wesentliche Funktionslücke. Für Teams, die bereits Multi-Registry-Container-Workflows verwalten, zentralisiert es das Image-Management in GitLab und reduziert wiederholte Pulls.\n\n**Was die Beta heute unterstützt**\n\n* Vorgelagerte Registries mit Long-Lived-Token-Authentifizierung: Docker Hub, Harbor, Quay und andere kompatible Registries\n* Pull-Through-Caching, sodass häufig verwendete Images nach dem ersten Abruf von GitLab bereitgestellt werden\n* API-first-Konfiguration, UI-Verwaltung in Entwicklung\n\nCloud-Provider-Registries mit IAM-Authentifizierung (wie Amazon Elastic Container Registry, Google Artifact Registry und Azure Container Registry) werden für zukünftige Iterationen berücksichtigt.\n\n**Heute testen**\n\n* Die Container Virtual Registry ist in 18.9 API-ready.\n* SaaS (GitLab.com): Zugang über den CSM anfragen oder im unten verlinkten Feedback-Issue kommentieren, um das Feature-Flag für die eigene Gruppe zu aktivieren.\n* Self-managed: Feature-Flag aktivieren und die virtuelle Registry über die API konfigurieren.\n\n**Dokumentation**\n\n* [Container Virtual Registry API](https://docs.gitlab.com/api/container_virtual_registries/)\n* [Container-Images aus der virtuellen Registry abrufen](https://docs.gitlab.com/user/packages/virtual_registry/container/#pull-container-images-from-the-virtual-registry)\n\nWalkthrough der Container Virtual Registry Beta:\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>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\u003Cbr>\u003C/br>\n\n**Feedback geben:**\n\n* [Feedback-Issue zur Container Virtual Registry](https://gitlab.com/gitlab-org/gitlab/-/issues/589630)\n\n## Mitgestalten\n\nAlle in der GitLab-Community sind Mitwirkende. Diese Betas wurden auf Basis von Community-Anfragen entwickelt.\n\n* **CI/CD Job Performance Metrics** entstand aus dem Bedarf von Teams, die keine einfache Möglichkeit hatten zu erkennen, wenn Build-Zeiten in die falsche Richtung tendierten oder welche Jobs die Pipeline-Zuverlässigkeit beeinträchtigten.\n* **Container Virtual Registry** entstand aus Anfragen von Enterprise-Kunden, die mehrere Registries verwalteten und Tool-Sprawl sowie Bandbreitenkosten reduzieren wollten, während sie GitLab als zentrale Registry evaluierten.\n\nRückmeldungen gestalten, was als nächstes entwickelt wird. Eine oder beide Betas ausprobieren und Erfahrungen in den verlinkten Feedback-Issues teilen.\n\nDies ist der erste Beitrag in einer Reihe von Core-DevOps-Betas, die im Laufe des Jahres vorgestellt werden.\n","2026-02-25",[89,9,657],"features",{},"/de-de/blog/new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks",{"config":661,"title":662,"description":663,"ogTitle":664,"ogImage":653},{"noIndex":10},"CI/CD-Engpässe dank neuer GitLab-Funktionen beheben","CI/CD Job Performance Metrics und Container Virtual Registry helfen Teams, langsame Jobs zu identifizieren und Container-Pulls zu vereinfachen.","","de-de/blog/new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks",[667,9,657],"cicd","cO8rcEpJimUq8AcRMLK_KrfKO5nENBx8vU7nw4dg8Ks",[670,680,689,698,708,716,725,733,742],{"content":671,"config":678},{"title":672,"heroImage":673,"category":9,"description":674,"authors":675},"GitLab sichert 99,9 % Verfügbarkeit mit Service Credits für Ultimate-Kund(inn)en ab","https://res.cloudinary.com/about-gitlab-com/image/upload/v1758812952/yxhgljkwljld0lyizmaz.png","Ultimate-Kund(inn)en erhalten Service Credits, wenn die Plattformverfügbarkeit unter 99,9 % fällt – für zuverlässige DevSecOps-Workflows.",[676,677],"Aathira Nair","Lyle Kozloff",{"externalUrl":-1,"slug":679},"gitlab-backs-99-9-availability-with-service-credits-for-ultimate-customers",{"content":681,"config":687},{"title":682,"heroImage":683,"category":9,"description":684,"authors":685},"GitLab Credits – nutzungsbasierte Preise für GitLab Duo Agent Platform","https://res.cloudinary.com/about-gitlab-com/image/upload/v1768314648/gvy4pfqjaeahkoagsjmr.png","Erfahre, wie GitLab Credits Kosten reduziert und Flexibilität für KI-Agenten im Enterprise-Software-Entwicklungszyklus bietet.\n",[686],"Manav Khurana",{"externalUrl":-1,"slug":688},"introducing-gitlab-credits",{"content":690,"config":696},{"title":691,"heroImage":692,"category":9,"description":693,"authors":694},"GitLab 18.7: Kontrollierte KI-Integration für DevSecOps","https://res.cloudinary.com/about-gitlab-com/image/upload/v1766061346/qky0m84chjftwmyk4kml.png","GitLab 18.7 erweitert KI-Governance mit Warn Mode, granularer Modellauswahl und Audit-Funktionen. Systematische AI-Adoption für Compliance.",[695],"Bill Staples",{"externalUrl":-1,"slug":697},"gitlab-18-7-advancing-ai-automation",{"content":699,"config":706},{"title":700,"heroImage":701,"category":9,"description":702,"authors":703},"ISO-26262-Compliance automatisieren – mit GitLab und CodeSonar","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659978/Blog/Hero%20Images/automation.png","Systematische Verifizierung von Embedded Systems gegen ISO 26262, MISRA C/C++ und DO-178C – mit automatisierten Audit-Trails für die Automobilentwicklung.",[704,705],"Mark Hermeling","Darwin Sanoy",{"externalUrl":-1,"slug":707},"automate-embedded-systems-compliance-with-gitlab-and-codesonar",{"content":709,"config":714},{"title":710,"heroImage":711,"category":9,"description":712,"authors":713},"GitLab 18.6: Von Konfiguration zu Kontrolle","https://res.cloudinary.com/about-gitlab-com/image/upload/v1763579840/jsobj2p6ff1vjruv0y1p.png","GitLab 18.6 gibt Entwicklungs- und Sicherheitsteams mehr Auswahl und Governance bei KI-Funktionen.",[695],{"externalUrl":-1,"slug":715},"gitlab-18-6-from-configuration-to-control",{"content":717,"config":723},{"title":718,"heroImage":719,"category":9,"description":720,"authors":721},"GitLab Object Storage für Skalierung und Performance optimieren","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749665151/Blog/Hero%20Images/blog-image-template-1800x945__27_.png","GitLab Object Storage für maximale Performance und Kosteneffizienz konfigurieren. Consolidated Forms, direkte Downloads und identity-basierte Authentifizierung.",[722],"Tim Rizzi",{"externalUrl":-1,"slug":724},"optimize-gitlab-object-storage-for-scale-and-performance",{"content":726,"config":731},{"title":727,"heroImage":728,"category":9,"description":729,"authors":730},"Artifact Management systematisch konsolidieren mit GitLab","https://res.cloudinary.com/about-gitlab-com/image/upload/v1756500636/wmey6kqzzuhirk88w2de.png","Platform-Teams geben jährlich über 200.000 US-Dollar für fragmentierte Artifact-Systeme aus. GitLabs strategischer Ansatz zur Konsolidierung reduziert Kosten und Komplexität messbar.",[722],{"externalUrl":-1,"slug":732},"streamline-enterprise-artifact-management-with-gitlab",{"content":734,"config":740},{"title":735,"heroImage":736,"category":9,"description":737,"authors":738},"Vier Ansätze für Embedded-Entwicklung mit GitLab","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659756/Blog/Hero%20Images/REFERENCE_-_display_preview_for_blog_images.png","Embedded-Entwicklung bringt spezifische Herausforderungen. Diese vier Ansätze zeigen, wie sich diese systematisch mit GitLab adressieren lassen.",[739,705],"Matt DeLaney",{"externalUrl":-1,"slug":741},"4-ways-to-accelerate-embedded-development-with-gitlab",{"content":743,"config":747},{"title":744,"heroImage":673,"category":9,"description":745,"authors":746},"GitLab als Leader im 2025 Gartner Magic Quadrant für DevOps-Plattformen ausgezeichnet","Zum dritten Mal als Leader ausgezeichnet – GitLab liefert seit über 150 Monaten jeden Monat neue Innovationen für DevOps-Teams.",[686],{"externalUrl":-1,"slug":748},"gitlab-named-a-leader-in-the-2025-gartner-magic-quadrant-for-devops-platforms",1772652042493]