Automated software delivery

Build, test, package, and deploy secure software in a fraction of the time. Again and again.

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Deliver better products faster

GitLab automates the building, testing, packaging, and deploying of secure code from code commit to production. This means better code, faster releases, fewer bugs, and more time spent on new, innovative features.

Minimize manual repetitive tasks and context-switching, so developers can focus on work that delivers value to the business.

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Your fast-track to product innovation

Source code management

Software development that’s iterative, tested, and always releasing

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Collaborate and accelerate, all in one place

With asset version control, tight feedback loops, and powerful branching patterns, it’s simple for your developers to solve problems and ship value, fast.

Institute reliable, scalable governance for your source code

Guarantee quality and standards for all your projects by mandating a set number of necessary merge approvals and suggested reviewers with built-in code review. With these guardrails in place, you’ll feel confident about code quality as your organization scales.

Continuous integration & continuous delivery

Make secure software delivery repeatable and scalable

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Integrate security into your CI pipelines

GitLab’s industry leading CI capabilities enable automated testing, Static Analysis Security Testing, Dynamic Analysis Security Testing, and code quality analysis to provide fast feedback to developers and testers about the quality of their code.

Leverage simple, scalable CI/CD

You can run your CI/CD jobs on GitLab.com and GitLab Dedicated using GitLab-hosted runners to seamlessly build, test and deploy your application in your own environment.

Dynamic AI-driven development

Accelerate your time to market without sacrificing security

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Increase developer speed and efficiency

With GitLab Duo, developers can automate repetitive tasks, get code explanations and suggestions, improve code quality, and get answers to questions right in the IDE.

Harness AI beyond code creation

Developers can also use GitLab Duo to understand and remediate security vulnerabilities, triage pipeline failures, and more to ensure their security efforts are matching the pace of their productivity.

"By switching to GitLab and automating deployment, teams have moved from monthly or weekly deliveries to daily or multiple daily deliveries."

Alan Hohn Director of Software Strategy, Lockheed Martin

Read the case study

80% faster CI pipeline builds

90% less time spent on system maintenance

Explore all automated software delivery features

Release better quality code, more often, with minimal manual intervention.

Remote Development

User Management provides tools to administer users and their attributes. From GitLab you can provision users, configure access control, manage user settings, and review user attributes.

Create preconfigured remote development workspaces on-demand

Enable Remote Development in GitLab Agent for Kubernetes

Automatically clone public projects into a workspace

Define a reproducible development environment in a devfile

Web IDE

Contribute easily right from the browser with everything you need using a full featured Integrated Development Environment (IDE). GitLab Duo, our AI-powered suite of features, is accessible in the Web IDE.

Web IDE

EditorConfig in the Web IDE

Paste images in Markdown in the Web IDE

Launch Gitpod Workspaces directly from GitLab

Code Suggestions in GitLab Web IDE

Code explanation in GitLab Duo Chat, available in the Web IDE

Code refactoring in GitLab Duo Chat, available in the Web IDE

Test generation in GitLab Duo Chat, available in the Web IDE

GitLab CLI

The GitLab Command Line Interface (CLI) is an unified tool that allows you to manage and interact with GitLab directly from the command line.

GitLab CLI - `glab`

Code Review Workflow

Review code, discuss changes, share knowledge, and identify defects in code among distributed teams via asynchronous commenting and review. Automate, track and report code reviews, and identify workflow improvements with code review analytics.

Description Templates

Check Lists

File Attachments

Emoji reactions

GitLab Flavored Markdown

Threaded Discussions

Filterable System Activity

Track Title Changes

Assignee

Lock Discussion

Bulk Edit Merge Requests

Jira Issues Integration

Jira Development Panel Integration

Track Description Changes

Track Comment Changes

Drag and Drop Tasks

Rich Object Summary on Link Hover

Create GitLab Merge Request from Jira Development Panel

Multiple approvers in code review

Approval rules for code review

Optional Merge Request Approvals

Code Owners

Suggest changes to merge requests

Multi-line diff comments

Image Discussions

Merge Request Commit Discussions

Create merge request from email

First time contributor badge

Cleaner diffs for Jupyter Notebook files

Comment Templates

Display merge request status for builds on Jenkins CI

Merge Requests

Merge conflict resolution

Auto-merge

Revert specific commits or a merge request from the UI

Merge request versions

Inline commenting and discussion resolution

Ability to edit all fields of a merge request

Automatically close issue(s) when a merge request is merged

Configurable issue closing pattern

Draft merge requests

Inline code coverage in merge request diff

Merge request reviews

Code review dashboards

Contributor agreements

Robot comments

Works with multiple repository types

Merge Request Dependencies

Code intelligence by Sourcegraph

Code intelligence

Merge request reviewers

Suggested Reviewers

Code Suggestions

AI Assistant for proactive coding suggestions and autocompletions

Inline Code Completion

Code Generation

Code Suggestions in VS Code

Code Suggestions in JetBrains IDEs

Code Suggestions in Visual Studio

Code Suggestions in Neovim

Code Suggestions in GitLab Web IDE

Code explanation in GitLab Duo Chat, available in the Web IDE

Code refactoring in GitLab Duo Chat, available in the Web IDE

Test generation in GitLab Duo Chat, available in the Web IDE

Code explanation in GitLab Duo Chat, available in VS Code

Code refactoring in GitLab Duo Chat, available in VS Code

Test generation in GitLab Duo Chat, available in VS Code

Code explanation in GitLab Duo Chat, available in JetBrains IDEs

Code refactoring in GitLab Duo Chat, available in JetBrains IDEs

Test generation in GitLab Duo Chat, available in JetBrains IDEs

Code explanation in GitLab Duo Chat, available on the repository file page

View Multiple Code Suggestions

Code Explanation

Helps you understand code by explaining it in natural language.

Code Explanation

Code Review Summary

Helps merge request handoff between authors and reviewers and helps reviewers efficiently understand suggestions.

Code Review Summary

Test Generation

Automates repetitive tasks and helps catch bugs early.

Test Generation

Secrets Management

Secure and protect access to secrets, such as API keys and passwords, to ensure that sensitive data is protected throughout your development process.

Protected variables

GitLab-managed App for HashiCorp Vault

HashiCorp Vault Integration

Secure your CI/CD workflow using OIDC

CI/CD job token

Review Apps

Gain access to a live instance of your application for every commit, allowing you and stakeholders to ensure thorough validation and collaboration before changes are merged into the main codebase.

Preview your changes with Review Apps

Environments Auto-stop

Automated Accessibility scanning of Review Apps

Comments in Review Apps

Code Testing and Coverage

Code testing and coverage are important parts of a Continuous Integration framework, ensuring that source code is validated by test suites and individual pipeline components perform as expected.

Show code coverage rate for your pipelines

Browser Performance Testing

Load Performance Testing

Repeat failed test notification

Graph Code coverage changes over time

Group Code Coverage Data

Unit Test Report

Failed test screenshots in test report

See unit test summaries in merge request widget

Merge Trains

Coordinate frequent merge requests and avoid merge conflicts with Merge Trains, preventing code commits from breaking default and main branches.

Merge request pipelines

Merged results pipelines

Merge Trains

Run pipelines in the parent project for MRs from forks

Suggested Reviewers

Create faster and higher-quality reviews by automatically suggesting reviewers for your merge request.

Suggested Reviewers

Merge Requests

Efficiently communicates the impact of your merge request changes.

Merge Request Summary

Generate a merge commit message

Root Cause Analysis

Assists you in determining the root cause for a pipeline failure and failed CI/CD build.

Root Cause Analysis

Discussion Summary

Assists with getting everyone up to speed on lengthy conversations to help ensure you are all on the same page.

Discussion Summary

Virtual Registry

GitLab offers a Virtual Registry that can be used for your frequently-accessed upstream artifacts.

Virtual Registry

Container Registry

An integrated container registry to store container images for each GitLab project. Creating, pushing, and retrieving images works out of the box with GitLab CI/CD.

Built-in Container Registry

Built for using containers and Docker

Docker image support

Container registry webhooks

Container registry high availability

Container Registry geographic replication

Supports private container registries

SaaS container registry offering

Use container registry through REST API

Container registry storage management

Group-level Docker registry browser

Use search to find and container images

Cloud Native

Container debugging with an integrated web terminal

Container image cleanup policies

Global Docker registry browser

Helm Chart Registry

An integrated Helm chart registry to store Helm charts for each GitLab project. Building, uploading, and installing Helm charts works out of the box with GitLab. Helm is the package manager for Kubernetes.

Helm chart repository support

Package Registry

Use GitLab as a private or public registry for a variety of supported package managers. You can publish and share packages, which can be consumed as a dependency in downstream projects.

Package Registry cleanup policies

Forward requests for npm packages not found in GitLab to npmjs.com

Forward requests for Python packages not found in GitLab to PyPI.org

Forward requests for Maven packages not found in GitLab to Maven central

Conan (C/C++) Repository

Maven (Java) Repository

npm (node) Registry

NuGet (.NET) Repository

PyPI (Python) Repository

Terraform Module Registry

RPM (Linux) Repository

Debian (Linux) Repository

RubyGems (Ruby) Repository

Go Proxy

Composer (PHP) Repository

Use the Package Registry through REST API

Package debugging with an integrated web terminal

Publish and share package versions

Generic Package Registry

Dependency Proxy

Model registry

Model registry allows data scientists and developers to manage their machine learning models, along with all metadata associated with their creation: parameters, performance metrics, artifacts, logs, and more.

Model registry

Release Orchestration

Coordinate complex releases across multiple projects in an efficient way. Leverage scheduled delivery, blackout periods, parallelization and sequencing, and support for integrating manual processes to release software faster.

Create a release from the UI

Environments history

Environment-specific variables

Keep track of releases using GitLab Releases

Group-level release analytics

Pipeline Resource Groups

Associate Releases with Milestones

Manage access to protected environments from the API

Release Progress view

Deploy Freeze

Link runbooks to a Release

Create a release directly from the .gitlab-ci.yml via the release CLI

Generic Package Registry

Changelog

Infrastructure as Code

Automate the provisioning of infrastructure resources through Infrastructure-as-Code, use Terraform/OpenTofu with zero-configuration from CI/CD pipelines, and apply GitOps best practices to deliver software faster.

Terraform plan output summary in Merge Requests

GitLab-managed Terraform state files

Feature Flags

Reduce deployment risk with a progressive rollout strategy that includes feature flags — enabling teams to toggle feature availability, test features in small batches, and separate deployment from customer launch.

Feature Flags

Feature Flag List view

Percent of Users Strategy for Feature Flags

Flexible Rollout Strategy for Feature Flags

UserID Rollout Strategy for Feature Flags

Set multiple strategies per environment

User List Strategy for Feature Flags

Associate Feature Flags with the issue(s) that is related to them

Environment Management

Environments are at the center of DevSecOps, bringing the results of application development in front of the users. They provide traceability of deployments, visualisation of workload states, and support advanced rollout strategies, feature flag management, and when necessary rollbacks.

Environments and deployments

Per-environment permissions

Environment-specific variables

Protected Environments

Environment type

Environments Dashboard

View alerts on the Environments page

Manage access to protected environments from the API

Active confirmation of what is running in production

Deployment Management

Deploying applications from testing environments to multi-region production servers is a core requirement of DevSecOps. Deployments should be easy to codify for platform engineers and simple to interact with for engineers and release managers. Moreover, they should follow company requirements in terms of compliance and security. Deployment management supports multi-cloud, cloud-native, and legacy infrastructures and unifies the platform experience by integrating tools and frameworks, such as Flux for GitOps.

Fine-grained access controls for CI/CD based Kubernetes deployments

Environment-specific variables

GitLab Agent for Kubernetes

GitOps deployment management

Timed and manual incremental rollout deployments

Canary Deployments

First class container building

Complex, simultaneous deployments per environment

Load balancer management for Blue/Green deployment

Auto DevOps

Automatically discover, build, test, and scan source code, and deploy and monitor built applications using an opinionated but highly customizable set of CI/CD templates and integrations. Enable teams to focus on writing business code and better collaboration while delivering software faster.

Auto DevOps

CI/CD Components

Streamline your CI/CD pipelines with reusable components—customizable, versioned units listed in the CI/CD Catalog. Build or reuse components for flexible, efficient workflows.

Pipeline Composition and Component Catalog

Streamline your software delivery lifecycle and boost efficiency with GitLab.

By incorporating automated software deployment into your production environments, you can accelerate software development and deliver innovative products to your customers faster.

Contact sales to get started

See what your team can do with the most comprehensive
AI-powered DevSecOps platform.

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Automated software delivery

Trusted By

Deliver better products faster

Supercharge developer productivity and developer experience

Increase visibility and transparency

Standardize your processes

Scale your CI/CD pipelines with ease

Protect your code with security built-in

Power it all with AI

Software development that’s iterative, tested, and always releasing

Make secure software delivery repeatable and scalable

Accelerate your time to market without sacrificing security

Explore all automated software delivery features

Release better quality code, more often, with minimal manual intervention.

Remote Development

Web IDE

GitLab CLI

Code Review Workflow

Code Suggestions

Code Explanation

Code Review Summary

Test Generation

Secrets Management

Review Apps

Code Testing and Coverage

Merge Trains

Suggested Reviewers

Merge Requests

Root Cause Analysis

Discussion Summary

Virtual Registry

Container Registry

Helm Chart Registry

Package Registry

Model registry

Release Orchestration

Infrastructure as Code

Feature Flags

Environment Management

Deployment Management

Auto DevOps

CI/CD Components

Streamline your software delivery lifecycle and boost efficiency with GitLab.

Ready to get started?