GitLab, the intelligent orchestration platform for DevSecOps, announced a fully managed GitLab offering on Google Cloud. Provided through GitLab-verified Managed Service Providers (MSPs), the platform allows enterprises to have an agile way to host their data sovereign development platforms.
This platform is solving the problem that has been posing major challenges to enterprises. Software development programs need to be able to combine access to state-of-the-art AI models with control over their own source codes, CI/CD pipeline and vulnerability results. Having all these vital components integrated under one sovereign umbrella, GitLab and Google Cloud are launching dedicated global go-to-market teams as well as unique partnerships to move enterprises’ software solutions into scalable DevSecOps mode.
Sovereign Infrastructure with SaaS Agility
The announcement marks a significant expansion of the strategic partnership formed between the companies in April 2026, which allowed enterprises to prompt Google foundational models directly via the GitLab Duo Agent Platform while drawing down their existing cloud financial commitments.
Certified MSP partners, including Beyond and Digital Future, will deliver and maintain this managed single-tenant offering for organizations bound by country-specific sovereignty laws, localized data residency constraints, and strict financial or public sector mandates.
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Under this model, corporate entities retain total autonomy over the precise geographic zones where their application files, automated build processes, and telemetry logs reside. The architecture delivers the out-of-the-box agility of a traditional Software-as-a-Service (SaaS) application while eliminating the steep operational burden of manual patching, database tuning, and infrastructure maintenance. Simultaneously, compliance officers gain complete, un-falsifiable visibility into all developer actions, autonomous agent workflows, merge requests, and real-time security alerts through GitLab’s native auditing interface.
“The enterprises we work with don’t see compliance and AI as a tradeoff,” said Greg Galstaun, vice president of global strategic engagements, Beyond. “Delivering a fully managed GitLab offering on Google Cloud gives customers a platform that is secure, reliable, and built to meet the most demanding data residency requirements.”
“Enterprises shouldn’t have to choose between strict data residency and the latest AI capabilities in DevSecOps,” said Fayez Tinawi, chief technology officer, Digital Future. “Successful transformation requires the right technology, talent, and skills, and a fully managed GitLab offering on Google Cloud brings all three together: SaaS-like agility with the data sovereignty controls their business demands, and lifts the operational burden of running the platform themselves.”
Deepening the Agentic AI and Open-Weights Roadmap
Alongside infrastructure modernization, the tech leaders are driving deeper integration at the artificial intelligence layer. Google Cloud’s highly advanced Gemini models, including Gemini 3.5, are now natively embedded within the GitLab Duo Agent Platform. Because GitLab is an active member of Google’s elite Gemini early access framework, subsequent model updates will automatically deploy into the GitLab Duo ecosystem as soon as they achieve commercial release.
To provide maximum architectural optionality for heavily isolated environments, Google’s open-weights Gemma 4 models are now fully validated for GitLab Duo Self-Hosted deployments. This addition provides highly secure data centers and localized installations with premier, customizable local AI models that function entirely independent of public cloud endpoints.
“From streamlining workflows to writing code, Gemini models are delivering real-world value across a wide variety of use cases,” said Brian Goldstein, vice president and general manager of strategic AI and ISV GTM, Google Cloud. “By deepening our integration with GitLab, we are making it easier than ever for developers to leverage our most capable models on the platform where they already do their daily work.”
“AI agents are reshaping how software gets built, and the platform at the center of that shift needs to be one that enterprises can trust with their most sensitive workloads,” said Manav Khurana, chief product and marketing officer, GitLab. “This partnership with Google Cloud gives enterprises access to the right deployment option, models and cost controls that they need to run DevSecOps at scale, on infrastructure they control, with governance that their compliance teams can audit.”