GitLab governs inside GitLab. CloudBees governs across your whole stack.
For engineering teams that run their entire software delivery stack on a single vendor, a consolidated platform delivers real value. The problem is that almost no enterprise actually runs a clean, single-vendor stack. They run a mix.
A typical Global 2000 engineering organization runs GitLab next to Jenkins®, GitHub Actions, Argo, and a handful of homegrown scripts that someone wrote five years ago and nobody wants to touch. Each tool does its job. None of them share a unified view of delivery.
GitLab governs what happens inside GitLab. It does not govern the rest of the stack. For enterprises with fragmented toolchains, that leaves gaps in compliance, visibility, and control.
CloudBees Unify takes a different approach. Instead of replacing your tools, it sits above them as a control plane, connecting systems and enforcing governance across all of them.
Can you use CloudBees and GitLab together?
CloudBees and GitLab are both enterprise DevOps platforms but with fundamentally different philosophies:
- GitLab is a single-vendor DevSecOps platform optimized for teams that standardize on its own toolchain.
- CloudBees takes an open, modular approach—sitting as a governance and orchestration layer above your existing tools, including GitLab itself, without forcing migration.
For enterprises that need control plane visibility across heterogeneous environments, CloudBees and GitLab are often complementary rather than competing.
GitLab governs GitLab best
GitLab delivers for teams that have fully consolidated onto the platform.
Source control, CI, security scanning, and planning all live in one product with a single permissions model. That’s a real achievement, and it’s why GitLab built a strong business serving DevSecOps-native teams.
GitLab’s governance model is strongest inside the GitLab platform, while CloudBees Unify is designed to provide governance across heterogeneous toolchains.
If your entire delivery stack runs on GitLab, you get a unified model for CI, security, and planning. But most enterprises don’t operate that way.
An independent survey of over 300 enterprise IT and DevOps leaders found that 74% of organizations reported more tool sprawl after platform migration. Even teams that explicitly migrated to consolidate ended up with more tools than they started with, because no single platform covers everything an enterprise actually needs.
In reality, pipelines run across multiple systems. GitLab CI covers one part of delivery. Jenkins, GitHub Actions, and Argo handle others. Each tool produces its own logs, approvals, and audit trails. The compliance evidence that a regulated enterprise needs to assemble for a SOC 2 or FedRAMP audit lives across all of those systems, and GitLab’s native auditing is strongest for what runs inside its own platform.
That creates a structural blind spot. Approval workflows fragment. Audit trails stop at the tool boundary. Cross-tool policies, like who can deploy to production and what tests must pass first, have to be reimplemented in each system by hand.
If only part of your stack runs on GitLab, only that portion falls under its governance model. The rest depends on custom integrations, manual processes, and inconsistent enforcement.
Migration isn’t the answer either. The CloudBees 2025 DevOps Migration Index shows it’s a bet most enterprises lose:
- Only 25% of enterprises saw their migration deliver expected value within a year.
- 37% lost more than a quarter of their migration budget to failed or abandoned initiatives.
CloudBees Unify sits above the stack
Enterprises run multiple tools by necessity, and they need visibility and governance across all of them.
Instead of embedding governance inside each tool, CloudBees Unify centralizes it above the stack. The unified control plane integrates with GitLab, Jenkins, GitHub Actions, Argo, and others without forcing migration.
And as AI coding tools like GitLab Duo and GitHub Copilot become pipeline participants, shipping AI-authored changes alongside human-written code, CloudBees Unify governs everything that moves through those pipelines, not just what developers wrote.
That enables:
- Policy enforcement across every tool. Approval rules and deployment gates apply consistently whether the pipeline runs entirely in GitLab CI or touches other tools along the way. Engineering leaders set the policy once; the control plane enforces it everywhere.
- Compliance evidence assembled automatically. SOC 2, FedRAMP, and DORA controls are built into the control plane itself, so CloudBees automatically pulls from every tool in the stack to create an audit trail, rather than requiring teams to maintain spreadsheets manually.
- Cross-tool visibility. Teams can track delivery performance end-to-end, without gaps between systems.
- AI that governs delivery. GitLab Duo and GitHub Copilot now include governance controls for AI activity, but that governance is scoped to their own platforms. 81% of enterprise technology leaders report production failures from AI-generated code, according to the CloudBees 2026 State of Code Abundance report. CloudBees Unify governs what happens after that code is written, across every pipeline in the stack, predicting which runs are likely to fail and surfacing the delivery patterns that improve throughput, regardless of which tools produced the code.
- DORA metrics unified across the full pipeline. Cycle time, deployment frequency, and change failure rate are calculated across every tool in the stack, with no gaps where one vendor’s product ends and another’s begins.
None of this requires teams to rip out GitLab, or Jenkins, or anything else. The unified control plane integrates with what’s already there.
That’s the model 92% of enterprises in the same TrendCandy research said outperformed migration: integrating tools rather than replacing them.
GitLab and CloudBees: Better together
CloudBees doesn’t replace GitLab. It extends it.
Engineering teams continue using GitLab for source control and CI, where it performs best. Other tools remain in place, and nothing gets ripped out.
Here’s how it works: The unified control plane overlays existing systems without disrupting them. Teams keep using GitLab SCM, alongside GitHub Actions, Jenkins, BitBucket, and CloudBees CI, exactly as they do today.
CloudBees Unify connects to each system through its native interface: a GitHub App for GitHub, a personal access token for GitLab, and a controller integration for Jenkins. That gives it a single governance layer with cross-tool RBAC and compliance controls, without displacing anything underneath.
It ingests key delivery data—pipeline runs, test results, security findings, and artifact lineage—while leaving execution in the original tools. Developers stay in the interfaces they know. Leaders get the cross-tool unified view they couldn’t get from any single platform.
The result is a complete picture of software delivery:
- GitLab manages what happens inside GitLab.
- CloudBees governs what happens across everything.
That combination gives enterprises something a single platform can’t: control without consolidation.
