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GitLab and Google Cloud deepen ties to offer a managed DevSecOps platform built around Gemini and Gemma
The Apex Times

THE APEX TIMES

Business/The Apex Times/Jun 10, 4:51 AM EDT

GitLab and Google Cloud deepen ties to offer a managed DevSecOps platform built around Gemini and Gemma

The partnership aims to make it easier for large companies to deploy software-security and delivery workflows on Google Cloud, with AI model support positioned as part of the offering.

SAN FRANCISCO, June 10, 2026, All Remote - GitLab Inc. announced an expanded collaboration with Google Cloud to deliver a “fully managed” GitLab offering. The update is part of an effort to reduce the operational burden of running DevSecOps tooling for enterprises, while aligning the platform with Google’s generative AI capabilities.

According to the announcement circulated by Yahoo Finance, the managed GitLab offering runs on Google Cloud and is delivered by GitLab-certified managed service providers. That structure is meant to give customers a single, managed path to deploy and operate GitLab rather than stitching together multiple vendors for infrastructure, security workflows, and ongoing management.

The companies also positioned the new offering around Google’s latest AI models, including Gemini and Gemma. In plain terms, Gemini and Gemma are large language and multimodal model families that enterprises can use to support development workflows such as code assistance, security review, and other text- and developer-focused automation, though the exact product functions were not detailed in the available excerpts.

For Google Cloud, the partnership lands in a competitive moment where cloud vendors are trying to connect their AI platforms to enterprise software delivery pipelines. DevSecOps, which combines software development with security testing and governance throughout the lifecycle, is a common target for customers seeking to improve compliance posture without slowing release cycles.

For GitLab, managed deployment on a major cloud platform can reduce friction for adoption. GitLab’s pitch centers on orchestration of DevSecOps processes, and turning that into an easier-to-run service is a strategy to capture buyers who want enterprise controls and support, but do not want to operate all components in-house.

Separate from the Google Cloud managed offering, GitLab also recently highlighted new capabilities at GitLab Transcend that it says are designed for “agent-driven” software delivery at enterprise scale. One item described in external reporting is Next Generation Source Code Management, which replaces repository cloning with structured API access to project intelligence, with claims of faster task execution for agents. That broader thrust supports the idea that GitLab is seeking to make AI-assisted delivery more practical for large teams, even as governance and cost control become harder at scale.

What remains unclear from the material available for this story is the scope of what is included in “fully managed” beyond the delivery model and the Google Cloud hosting. The excerpts do not specify pricing, contract structure, service-level guarantees, or which Gemini and Gemma model variants are supported, nor do they provide examples of concrete security or development workflows powered by those models.

Neither GitLab’s announcement nor the accessible excerpts in the coverage specify whether Alphabet will receive revenue share tied directly to the managed offering. That means investors and customers will likely need more detail from company statements, reseller or provider terms, or additional product documentation to understand the financial and technical boundaries of the collaboration.

Why It Matters

  • Managed enterprise DevSecOps offerings are becoming a differentiator as companies try to adopt AI-assisted development without adding operational complexity.
  • Aligning GitLab’s platform with Gemini and Gemma suggests cloud vendors are increasingly embedding their AI stacks directly into development and security workflows.
  • The “certified managed provider” delivery model could broaden GitLab’s reach with partners already selling and operating on Google Cloud.
  • For Google Cloud, deeper integrations with high-usage enterprise software could strengthen its position against other clouds that also market AI and developer tooling.

Sources

Key Facts

  • GitLab announced an expanded collaboration with Google Cloud to deliver a fully managed GitLab offering on Google Cloud.
  • The managed service is delivered by GitLab-certified managed service providers, per the available coverage.
  • The offering is positioned around Google’s generative AI model families Gemini and Gemma.
  • The available material does not provide pricing, service-level terms, or specific workflow implementations powered by the models.
  • A related but separate GitLab update described additional “agentic” platform capabilities designed for enterprise-scale AI-assisted software delivery.

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The Apex Times

Apple CEO transition hands AI test to John Ternus as AAPL slips

John Ternus takes over as Apple’s chief executive role as Phil Schiller steps back, with market attention focused on how leadership changes could affect ongoing work on artificial intelligence initiatives. Apple shares slid in early trading following the transition reports.

Apple CEO transition hands AI test to John Ternus as AAPL slips
The Apex Times
GitLab and Google Cloud deepen ties to offer a managed DevSecOps platform built around Gemini and Gemma | The Apex Times