GitLab Announces Expansion of Partnership with Google Cloud
GitLab has announced an expanded partnership with Google Cloud to offer managed GitLab on Google Cloud through GitLab-certified managed service providers, enabling enterprises to achieve secure, data-sovereign DevSecOps deployments.
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- 📰 Published: June 15, 2026 at 22:00
- 🔍 Collected: June 16, 2026 at 00:01 (2h 1m after Published)
- 🤖 AI Analyzed: June 16, 2026 at 00:12 (10 min after Collected)
GitLab (headquartered in San Francisco, CA, NASDAQ: GTLB), the most comprehensive and intelligent enterprise DevSecOps platform enabling software innovation, today announced an expansion of its partnership with Google Cloud to deliver managed GitLab on Google Cloud through GitLab-certified managed service providers. This enables organizations to achieve secure deployments with data sovereignty.
For enterprises engaged in large-scale software development, managing code, pipelines, and security data on a single platform while ensuring access to and control over AI models is a significant advantage. This partnership enables both. GitLab and Google Cloud's go-to-market teams are working with certified managed service providers to support enterprises considering migration to more scalable and reliable DevSecOps platforms and architectures.
This announcement builds on the partnership announced in April 2026, which enabled users to access Google's models through the GitLab Duo Agent Platform and apply usage toward existing Google Cloud commitments.
Managed service providers such as Beyond and Digital Future will offer managed services for organizations subject to country- or region-specific data sovereignty, data residency, and other regulatory requirements. Users can leverage the GitLab platform on Google Cloud infrastructure while fully controlling where their code, pipelines, and security data are stored—without bearing the operational burden of managing the underlying infrastructure. Additionally, compliance teams can monitor all agent actions, merge requests, and security findings through GitLab’s audit and policy controls.
GitLab and Google are also deepening their collaboration on their AI roadmaps. The latest Gemini models, including Gemini 3.5, are now available on the GitLab Duo Agent Platform. GitLab is part of Google’s Gemini Early Access Program, and additional Gemini models will be added to the GitLab Duo Agent Platform in the future. Furthermore, Google’s Gemma models, including Gemma 4, are now available on GitLab Duo Self-Hosted. This enables users in self-managed or regulated environments to choose AI models beyond Gemini.
More details about this announcement can be found here.
Executive Comments
Greg Galstaun, VP of Global Strategic Engagement at Beyond:
"The enterprises we support do not view compliance and AI as a trade-off. By offering GitLab as a fully managed service on Google Cloud, customers can access a platform designed to be secure, reliable, and built to meet the most stringent data residency requirements."
Fayez Tinawi, Chief Technology Officer at Digital Future:
"Enterprises no longer need to choose between strict data residency and the latest AI capabilities for DevSecOps. Successful transformation requires the right technology, people, and skills. With fully managed GitLab on Google Cloud, all three are achievable. We deliver the agility of SaaS with control over data sovereignty, freeing customers from the burden of operating the platform themselves."
Brian Goldstein, VP and GM of AI & ISV GTM at Google Cloud:
"From workflow efficiency to code generation, Gemini models deliver practical value across diverse use cases. As our integration with GitLab deepens, developers will be able to leverage cutting-edge models more easily within the platform they use every day."
Manav Khurana, Chief Product and Marketing Officer (CPMO) at GitLab:
"AI agents are fundamentally transforming how software is developed, and the platform at the center of this transformation must be one that enterprises can trust with their most sensitive workloads. Through our partnership with Google Cloud, enterprises can execute DevSecOps at scale with the right deployment options, models, and cost management—on infrastructure they control—under governance that compliance teams can audit."
For enterprises engaged in large-scale software development, managing code, pipelines, and security data on a single platform while ensuring access to and control over AI models is a significant advantage. This partnership enables both. GitLab and Google Cloud's go-to-market teams are working with certified managed service providers to support enterprises considering migration to more scalable and reliable DevSecOps platforms and architectures.
This announcement builds on the partnership announced in April 2026, which enabled users to access Google's models through the GitLab Duo Agent Platform and apply usage toward existing Google Cloud commitments.
Managed service providers such as Beyond and Digital Future will offer managed services for organizations subject to country- or region-specific data sovereignty, data residency, and other regulatory requirements. Users can leverage the GitLab platform on Google Cloud infrastructure while fully controlling where their code, pipelines, and security data are stored—without bearing the operational burden of managing the underlying infrastructure. Additionally, compliance teams can monitor all agent actions, merge requests, and security findings through GitLab’s audit and policy controls.
GitLab and Google are also deepening their collaboration on their AI roadmaps. The latest Gemini models, including Gemini 3.5, are now available on the GitLab Duo Agent Platform. GitLab is part of Google’s Gemini Early Access Program, and additional Gemini models will be added to the GitLab Duo Agent Platform in the future. Furthermore, Google’s Gemma models, including Gemma 4, are now available on GitLab Duo Self-Hosted. This enables users in self-managed or regulated environments to choose AI models beyond Gemini.
More details about this announcement can be found here.
Executive Comments
Greg Galstaun, VP of Global Strategic Engagement at Beyond:
"The enterprises we support do not view compliance and AI as a trade-off. By offering GitLab as a fully managed service on Google Cloud, customers can access a platform designed to be secure, reliable, and built to meet the most stringent data residency requirements."
Fayez Tinawi, Chief Technology Officer at Digital Future:
"Enterprises no longer need to choose between strict data residency and the latest AI capabilities for DevSecOps. Successful transformation requires the right technology, people, and skills. With fully managed GitLab on Google Cloud, all three are achievable. We deliver the agility of SaaS with control over data sovereignty, freeing customers from the burden of operating the platform themselves."
Brian Goldstein, VP and GM of AI & ISV GTM at Google Cloud:
"From workflow efficiency to code generation, Gemini models deliver practical value across diverse use cases. As our integration with GitLab deepens, developers will be able to leverage cutting-edge models more easily within the platform they use every day."
Manav Khurana, Chief Product and Marketing Officer (CPMO) at GitLab:
"AI agents are fundamentally transforming how software is developed, and the platform at the center of this transformation must be one that enterprises can trust with their most sensitive workloads. Through our partnership with Google Cloud, enterprises can execute DevSecOps at scale with the right deployment options, models, and cost management—on infrastructure they control—under governance that compliance teams can audit."
FAQ
What changes with the GitLab and Google Cloud partnership?
Enterprises can now use managed GitLab on Google Cloud with AI capabilities and data sovereignty.
How are Gemini models used?
Gemini 3.5 is now available in GitLab Duo Agent Platform, integrating AI into development workflows.
How is data sovereignty addressed?
MSPs like Beyond and Digital Future offer region-specific managed services.