One platform.

GitLab adapts to your enterprise guardrails for security, compliance, and deployment. Choose the deployment option that fits your requirements — from full control with self-managed instances to fully isolated single-tenant environments managed by GitLab.

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GitLab is the Intelligent Orchestration Platform where software teams and their AI agents stay in flow to amplify their capacity for innovation. Together, they automate repetitive tasks to plan, build, secure, test, deploy and maintain software. With GitLab, software teams spend less time on coordination overhead and more time on the next big idea.

GitLab includes planning, source code management, CI/CD pipelines, security testing, compliance management, package registries, deployment tools, observability, and AI-powered capabilities through GitLab Duo Agent Platform.

GitLab offers three deployment options to match your requirements. GitLab.com is our cloud-hosted SaaS platform with instant setup and AI features included. Self-managed deployments give you complete control to run GitLab in your own environment on any cloud or on-premises infrastructure. GitLab Dedicated provides a fully isolated, single-tenant environment managed by GitLab with data residency in your chosen region, full data isolation, and bring-your-own-key encryption.

GitLab provides API-first architecture with extensive integrations for project management, security scanning, monitoring, and cloud platforms. You can integrate GitLab with existing tools or gradually migrate to GitLab's native capabilities.

GitLab Duo Agent Platform provides AI agents that automate tasks across the software lifecycle. Agents handle code generation, security analysis, code review, CI/CD troubleshooting, and custom workflows while teams maintain control through enterprise governance.

Intelligent orchestration means your teams define the strategy while AI agents handle execution. Instead of developers manually triggering builds, running tests, and deploying code across environments, agents automate these workflows based on the rules and guardrails your teams set. This eliminates handoffs between development stages and keeps everyone — human and AI — working from the same context. The result: your teams spend more time innovating and less time coordinating.

While AI coding assistants help individual developers work faster, teams still lose momentum when coordinating across the complete software lifecycle. GitLab addresses this by extending individual developer flow to entire teams through intelligent orchestration. It provides a unified platform where multiple teams and their AI agents collaborate across planning, development, security, testing, and deployment without context switching or workflow fragmentation.

GitLab delivers a single unified platform with one data model, one deployment, and integrated AI agents across all DevOps, security, and AI use cases. Unlike product collections that bundle separate tools with different release cycles and support contracts, or solutions that limit your deployment and AI model choices, GitLab gives you complete control: your context, your workflows, your guardrails. You can deploy GitLab on-premises, in any cloud, or as a managed service, with LLM neutrality and custom security policies.

GitLab serves technology leaders and platform owners responsible for modernizing their software delivery lifecycle. This includes CIOs, CTOs, and DevOps leaders who need to create unified experiences for engineering, design, and product teams. GitLab supports everyone involved in software delivery: developers, business analysts, product owners, testers, solution architects, security teams, and operations teams working together across the complete software lifecycle.

GitLab provides comprehensive metrics through modernization scorecards, DORA analytics, and value stream visibility. Customers report measurable outcomes including 55% faster deployment velocity, 80x faster CI pipeline builds, and significant cost savings. Executive dashboards give you complete visibility into development metrics, security posture, and modernization progress across all teams, enabling data-driven decisions based on unified data from your entire software lifecycle.