[{"data":1,"prerenderedAt":1049},["ShallowReactive",2],{"/de-de/blog/gitlab-amazon-platform-orchestration-on-a-trusted-ai-foundation":3,"navigation-de-de":270,"banner-de-de":689,"footer-de-de":698,"blog-post-authors-de-de-Joe Mann|Mark Kriaf":937,"blog-related-posts-de-de-gitlab-amazon-platform-orchestration-on-a-trusted-ai-foundation":964,"blog-promotions-de-de":986,"next-steps-de-de":1039},{"id":4,"title":5,"authors":6,"body":9,"category":248,"date":249,"description":250,"extension":251,"externalUrl":252,"featured":253,"heroImage":254,"meta":255,"navigation":253,"path":256,"seo":257,"slug":262,"stem":263,"tags":264,"template":268,"updatedDate":252,"__hash__":269},"blogPosts/de-de/blog/gitlab-amazon-platform-orchestration-on-a-trusted-ai-foundation.md","GitLab + Amazon: KI-Orchestrierung auf sicherem Fundament",[7,8],"Joe Mann","Mark Kriaf",{"type":10,"value":11,"toc":238},"minimark",[12,16,19,22,25,38,41,46,49,52,59,65,71,74,78,81,84,88,91,94,98,101,104,124,131,134,193,197,200,203,206,210,213,216,219],[13,14,15],"p",{},"Wer GitLab einsetzt und eine ausgereifte AWS-Praxis betreibt, findet in der\nKombination aus Duo Agent Platform und Amazon Bedrock eine passende Ergänzung.\nDas Prinzip ist klar: GitLab übernimmt die Orchestrierungsschicht und\nbeschleunigt den gesamten Software-Lifecycle mit agentischer KI. Bedrock stellt\nim Hintergrund eine sichere, compliance-fähige Foundation-Model-Schicht mit\nKI-Inferenz bereit.",[13,17,18],{},"GitLab Duo Agent Platform ermöglicht Planung, Merge-Pipelines, Security\nScanning, Vulnerability Remediation und mehr als Teil bestehender\nGitLab-Workflows. Der GitLab AI Gateway leitet Modell-Anfragen an Bedrock\nweiter – oder an GitLab-verwaltete, Bedrock-gestützte Endpunkte, je nach\nDeployment-Konfiguration. Damit lässt sich auf den IAM-Richtlinien,\nVPC-Grenzen, regionalen Kontrollen und Cloud-Commitments aufbauen, die bereits\nin AWS bestehen.",[13,20,21],{},"Wer Amazon Bedrock bereits nutzt und KI-Unterstützung innerhalb der bestehenden\nGitLab-Workflows sucht – nicht in einem weiteren eigenständigen Chat-Werkzeug –\nfindet in dieser Kombination die passende Architektur.",[13,23,24],{},"Dieser Artikel beleuchtet zunächst das Problem, mit dem viele Teams heute\nkonfrontiert sind: KI ist fragmentiert, Datenpfade sind unklar, und\nBedrock-Investitionen werden zu wenig genutzt, wenn KI außerhalb des\nSoftware-Lifecycles operiert. Anschließend werden die Deployment-Optionen für\nGitLab Duo Agent Platform erläutert:",[26,27,28,32,35],"ul",{},[29,30,31],"li",{},"Integriert mit selbst gehosteten Modellen auf Amazon Bedrock für GitLab\nSelf-Managed-Deployments und selbst gehosteten AI Gateway",[29,33,34],{},"Integriert mit GitLab-betriebenen Modellen auf Amazon Bedrock (mit\nGitLab-eigenen Keys) für GitLab Self-Managed-Deployments und\nGitLab-gehosteten AI Gateway",[29,36,37],{},"Integriert mit GitLab-betriebenen Modellen auf Amazon Bedrock (mit\nGitLab-eigenen Keys) für GitLab.com-Instanzen und GitLab-gehosteten\nAI Gateway",[13,39,40],{},"Abschließend wird zusammengefasst, wie dieser Ansatz nicht freigegebene\nKI-Werkzeuge (Shadow AI) und Point-Tool-Sprawl vermeidet, ohne einen parallelen\nTech-Stack für KI-Werkzeuge aufzubauen.",[42,43,45],"h2",{"id":44},"ki-überall-kontrolle-nirgends","KI überall, Kontrolle nirgends",[13,47,48],{},"Irgendwo im Unternehmen nutzen Softwareteams gerade ein KI-Werkzeug, das die\nSicherheitsabteilung nicht freigegeben hat. Prompt-Daten verlassen\nmöglicherweise die eigene Umgebung über einen Pfad, den niemand vollständig\nnachverfolgt hat. Und die Bedrock-Investition des Unternehmens wird zu wenig\ngenutzt, während einzelne Teams separate KI-Werkzeuge auf eigene Rechnung\nbetreiben – Workloads und Cloud-Ausgaben fließen so an Plattformen ab, auf die\nbereits Commitments bestehen.",[13,50,51],{},"Das ist kein Personalproblem – es ist ein Architekturproblem. Und es\nmanifestiert sich in nahezu jedem Unternehmen in denselben drei Einschränkungen:",[13,53,54,58],{},[55,56,57],"strong",{},"Operative Fragmentierung."," Jedes Team – manchmal jede einzelne Person –\nwählt das eigene Entwicklungs-Toolset, einschließlich KI-Werkzeuge und\nModellauswahl. Diese Fragmentierung macht eine durchgängige Governance innerhalb\ndes Software-Lifecycles nahezu unmöglich.",[13,60,61,64],{},[55,62,63],{},"Sicherheit und Datensouveränität."," Wo fließen Prompt- und Code-Daten\ntatsächlich hin? Wer ist Eigentümer der Protokolle?",[13,66,67,70],{},[55,68,69],{},"Cloud-Ausgabenoptimierung."," Commitments gegenüber zentralen Cloud-Anbietern\nwie AWS werden verwässert, wenn Workloads und KI-Nutzung zu Point-Tools\naußerhalb bestehender Vereinbarungen abwandern.",[13,72,73],{},"GitLab Duo Agent Platform und Amazon Bedrock adressieren diese Probleme\ngemeinsam. Die Aufgabenteilung ist eindeutig: Duo Agent Platform verantwortet\ndie Workflow-Orchestrierung mit agentischer KI für die Softwareentwicklung,\nBedrock verantwortet die Inferenzschicht und hostet freigegebene\nFoundation-Modelle, und das Unternehmen behält die vollständige Kontrolle über\ndie Daten- und Richtliniengrenzen, die bereits in AWS definiert wurden. Drei\nAufgaben, drei Verantwortliche, keine Fragmentierung.",[42,75,77],{"id":76},"gitlab-duo-agent-platform-die-agentische-steuerungsebene","GitLab Duo Agent Platform: Die agentische Steuerungsebene",[13,79,80],{},"GitLab Duo Agent Platform ist GitLabs agentische KI-Schicht: ein Framework aus\nspezialisierten Agenten und Abläufen, die gleichzeitig und parallel operieren –\nüber traditionelle stufenbasierte Übergaben hinaus – und Arbeit über den\ngesamten Software-Lifecycle hinweg automatisieren. Statt eines einzelnen\nAssistenten, der auf Prompts reagiert, ermöglicht Duo Agent Platform Teams die\nasynchrone Orchestrierung vieler KI-Agenten auf Basis einheitlicher Daten und\nProjektkontexte. Dazu gehören Issues, Merge Requests, Pipelines und Security\nFindings. Lineare Workflows werden so zu koordinierter, kontinuierlicher\nZusammenarbeit zwischen Softwareteams und ihren KI-Agenten – im erforderlichen\nUmfang.",[13,82,83],{},"Mit dieser Steuerungsebene stellt sich die nächste Frage: Welches KI-Fundament\nsoll diese Agenten antreiben? Für Unternehmen, die GitLab Self-Managed auf AWS\nbetreiben und sicherstellen müssen, dass Inferenz-Traffic, Prompt-Daten und\nProtokolle ebenfalls in der AWS-Umgebung verbleiben – gemeinsam mit den\nSoftware-Lifecycle-Daten – ist Amazon Bedrock als KI-Inferenzschicht die\nnaheliegende Wahl.",[42,85,87],{"id":86},"amazon-bedrock-das-vertrauenswürdige-ki-fundament","Amazon Bedrock: Das vertrauenswürdige KI-Fundament",[13,89,90],{},"Amazon Bedrock ist eine vollständig verwaltete, serverlose\nFoundation-Model-Schicht, die vollständig in der AWS-Umgebung des Kunden läuft.\nKundendaten verbleiben im AWS-Account des Kunden. Eingaben und Ausgaben sind\nwährend der Übertragung und im Ruhezustand verschlüsselt, werden nie mit\nModellanbietern geteilt und nie zum Training von Basismodellen verwendet. Bedrock\nverfügt über Compliance-Zertifizierungen für DSGVO und BSI C5, die viele\nAnforderungen regulierter Branchen abdecken. Teams können außerdem eigene\nfeinabgestimmte Modelle über Custom Model Import einbinden und gemeinsam mit\nnativen Bedrock-Modellen über dieselbe Infrastruktur betreiben – ohne separate\nDeployment-Pipelines. Bedrock Guardrails ergänzt konfigurierbare\nSchutzmaßnahmen über alle Modelle hinweg: Content-Filterung,\nHalluzinationserkennung und Schutz sensibler Daten.",[13,92,93],{},"Gemeinsam konsolidieren GitLab Duo Agent Platform und Bedrock\nDevSecOps-Orchestrierung und KI-Modell-Governance – und helfen dabei, die\nFragmentierung zu vermeiden, die entsteht, wenn Teams KI-Werkzeuge eigenständig\neinführen.",[42,95,97],{"id":96},"die-passende-deployment-variante-wählen","Die passende Deployment-Variante wählen",[13,99,100],{},"Die Integration liefert dieselben Kernfunktionen von GitLab Duo Agent Platform,\nunabhängig von der gewählten Deployment-Variante. Was variiert, ist: Wer\nbetreibt GitLab, wer betreibt den AI Gateway, und in welchem Bedrock-Account\nläuft die Inferenz? Die passende Variante hängt davon ab, wo das Unternehmen\nbereits operiert.",[13,102,103],{},"Die Integration umfasst drei Hauptkomponenten:",[26,105,106,112,118],{},[29,107,108,111],{},[55,109,110],{},"GitLab Duo Agent Platform:"," Agentische Workflows, eingebettet in den\ngesamten Software-Lifecycle",[29,113,114,117],{},[55,115,116],{},"AI Gateway (GitLab-verwaltet oder selbst gehostet):"," Die\nAbstraktionsschicht zwischen Duo Agent Platform und dem\nFoundation-Model-Backend",[29,119,120,123],{},[55,121,122],{},"Amazon Bedrock:"," KI-Modell- und Inferenzsubstrat",[13,125,126],{},[127,128],"img",{"alt":129,"src":130},"Deployment von GitLab und AWS Bedrock","https://res.cloudinary.com/about-gitlab-com/image/upload/v1776362365/udmvmv2efpmwtkxgydch.png",[13,132,133],{},"Die Wahl der Deployment-Variante richtet sich danach, wo das Unternehmen die\nSteuerungshebel platzieren möchte. Die folgenden Varianten sind so konzipiert,\ndass sie Teams dort abholen, wo sie bereits stehen – ob SaaS-first,\nSelf-Managed aus Compliance-Gründen oder vollständig auf AWS mit bestehenden\nBedrock-Investitionen.",[135,136,137,157],"table",{},[138,139,140],"thead",{},[141,142,143,148,151,154],"tr",{},[144,145,147],"th",{"align":146},"left","Deployment-Variante",[144,149,150],{"align":146},"GitLab.com-Instanz mit GitLab-gehostetem AI Gateway und GitLab-betriebenen Bedrock-Modellen",[144,152,153],{"align":146},"GitLab Self-Managed mit GitLab-gehostetem AI Gateway und GitLab-betriebenen Bedrock-Modellen",[144,155,156],{"align":146},"GitLab Self-Managed mit selbst gehostetem AI Gateway und kundenbetriebenen Bedrock-Modellen",[158,159,160,177],"tbody",{},[141,161,162,168,171,174],{},[163,164,165],"td",{"align":146},[55,166,167],{},"Geeignet wenn:",[163,169,170],{"align":146},"Primär auf GitLab.com und kein eigener Betrieb von AI Gateway und Bedrock-Modellen gewünscht",[163,172,173],{"align":146},"GitLab Self-Managed aus Compliance- und operativen Gründen erforderlich, aber keine eigene Verwaltung der KI-Schicht gewünscht",[163,175,176],{"align":146},"AWS-zentrierte Umgebung mit bestehender Bedrock-Nutzung und strengen Anforderungen an Datenkontrolle",[141,178,179,184,187,190],{},[163,180,181],{"align":146},[55,182,183],{},"Wesentliche Vorteile",[163,185,186],{"align":146},"Schnellster Einstieg in Duo Agent Platform-Workflows: GitLab betreibt GitLab.com, den AI Gateway und die integrierten Bedrock-KI-Modelle.",[163,188,189],{"align":146},"GitLab in der eigenen Umgebung betreiben und Bedrock-Modelle über einen GitLab-verwalteten AI Gateway nutzen – Deployment-Kontrolle kombiniert mit vereinfachtem KI-Betrieb.",[163,191,192],{"align":146},"GitLab und AI Gateway im eigenen AWS-Account betreiben, bestehende IAM/VPC/Regionen wiederverwenden, Protokolle und Daten in der eigenen Umgebung halten und Bedrock-Nutzung aus bestehenden AWS-Commitments beziehen.",[42,194,196],{"id":195},"praxiseinsatz-von-gitlab-duo-agent-platform-mit-amazon-bedrock","Praxiseinsatz von GitLab Duo Agent Platform mit Amazon Bedrock",[13,198,199],{},"Plattformteams können GitLab Duo Agent Platform mit Amazon Bedrock nutzen, um\nzentral festzulegen, welche Modelle Code-Vorschläge, Sicherheitsanalysen und\nPipeline-Remediation übernehmen. So lassen sich Schutzmaßnahmen und\nProtokollierung zentral durchsetzen, statt einzelnen Teams die eigenständige\nEinführung separater Werkzeuge zu überlassen.",[13,201,202],{},"Security-Workflows profitieren besonders. GitLab Duo Agent Platform-Agenten\nkönnen Fixes für Security Findings innerhalb von GitLab vorschlagen und\nvalidieren – und so den manuellen Triage-Aufwand reduzieren, den\nEntwicklungsteams sonst außerhalb der Plattform leisten müssten.",[13,204,205],{},"Für Unternehmen mit bestehenden AWS-Commitments lässt sich die KI-Nutzung so\nmit bestehenden Cloud-Vereinbarungen in Einklang halten. Separate, ungeplante\nAusgaben entfallen.",[42,207,209],{"id":208},"der-kreislauf-schließt-sich","Der Kreislauf schließt sich",[13,211,212],{},"Die Hindernisse, die Enterprise-KI-Adoption verlangsamen, sind oft nicht\ntechnischer Natur. Sie sind organisatorischer Natur: fragmentiertes Tooling,\nnicht nachverfolgbare Datenflüsse und Cloud-Ausgaben, die sich nie\nkonsolidieren. Diese Probleme können KI-Programme zum Stillstand bringen, selbst\nnachdem Pilotprojekte erfolgreich waren.",[13,214,215],{},"GitLab Duo Agent Platform und Amazon Bedrock adressieren jeden dieser Punkte\ndirekt. Plattformteams erhalten konsistente Governance, Auditierbarkeit und\nstandardisierte Pfade für die KI-Nutzung über den gesamten Software-Lifecycle.\nEntwicklungsteams erhalten optimierte, agentische Workflows, die sich nativ in\nGitLab anfühlen. Und AWS-zentrierte Unternehmen können ihre bestehende\nBedrock-Investition erweitern, statt parallel dazu eine separate\nKI-Infrastruktur aufzubauen.",[13,217,218],{},"Das Ergebnis ist ein KI-Programm, das skaliert, ohne zu fragmentieren.\nGovernance und Entwicklungsgeschwindigkeit auf demselben Stack, für dieselben\nTeams, unter Richtlinien, die das Unternehmen bereits besitzt.",[220,221,222],"blockquote",{},[13,223,224,225,231,232,237],{},"Um die passende Deployment-Variante zu identifizieren und GitLab Duo Agent\nPlatform und Amazon Bedrock mit der bestehenden AWS-Strategie in Einklang zu\nbringen, steht das ",[226,227,230],"a",{"href":228,"rel":229},"https://about.gitlab.com/sales/",[],"GitLab Sales-Team"," zur\nVerfügung – für Architekturberatung und Implementierungsunterstützung.\nWeitere Informationen bietet auch die\n",[226,233,236],{"href":234,"rel":235},"https://about.gitlab.com/partners/technology-partners/aws/",[],"AWS-Partnerseite",".",{"title":239,"searchDepth":240,"depth":240,"links":241},"",2,[242,243,244,245,246,247],{"id":44,"depth":240,"text":45},{"id":76,"depth":240,"text":77},{"id":86,"depth":240,"text":87},{"id":96,"depth":240,"text":97},{"id":195,"depth":240,"text":196},{"id":208,"depth":240,"text":209},"product","2026-04-21","Wie Duo Agent Platform und Amazon Bedrock Datensouveränität, Cloud-Governance und KI-Orchestrierung ohne parallele Infrastruktur vereinen.","md",null,true,"https://res.cloudinary.com/about-gitlab-com/image/upload/v1776362275/ozbwn9tk0dditpnfddlz.png",{},"/de-de/blog/gitlab-amazon-platform-orchestration-on-a-trusted-ai-foundation",{"config":258,"title":260,"description":261},{"noIndex":259},false,"GitLab + Amazon Bedrock: KI-Governance und Orchestrierung","GitLab Duo Agent Platform und Amazon Bedrock: agentische KI-Workflows mit sicherer Cloud-Inferenz. 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