[{"data":1,"prerenderedAt":788},["ShallowReactive",2],{"/en-us/blog/secure-rust-development-with-gitlab":3,"navigation-en-us":36,"banner-en-us":435,"footer-en-us":445,"blog-post-authors-en-us-Fernando Diaz":687,"blog-related-posts-en-us-secure-rust-development-with-gitlab":701,"assessment-promotions-en-us":739,"next-steps-en-us":778},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":26,"isFeatured":12,"meta":27,"navigation":12,"path":28,"publishedDate":24,"seo":29,"stem":32,"tagSlugs":33,"__hash__":35},"blogPosts/en-us/blog/secure-rust-development-with-gitlab.yml","Secure Rust Development With Gitlab",[7],"fernando-diaz",null,"engineering",{"slug":11,"featured":12,"template":13},"secure-rust-development-with-gitlab",true,"BlogPost",{"title":15,"description":16,"authors":17,"tags":19,"heroImage":23,"category":9,"date":24,"body":25},"Secure Rust development with GitLab","Learn how GitLab supports Rust development through its CI/CD capabilities, security scanning, dedicated Rust integrations, AI features, and more.",[18],"Fernando Diaz",[20,21,22],"community","open source","tutorial","https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314674/tct6zf6evw0xgddd2vo3.png","2025-09-02","Rust has emerged as one of the most beloved programming languages due to its performance, memory safety, and concurrency features. As Rust adoption continues to grow, many developers are looking for robust CI/CD platforms to support their Rust projects.\nGitLab's appeal to Rust developers extends beyond simple code hosting. The platform offers robust [CI/CD](https://about.gitlab.com/topics/ci-cd/) capabilities that align perfectly with Rust's emphasis on safety, performance, and reliability. GitLab makes it easy to create repositories and use off-the-shelf Docker containers to put together custom CI jobs. Developers can easily set up automated testing, cross-platform builds, and documentation generation. The platform's integrated approach to DevSecOps resonates with Rust's philosophy of providing comprehensive tooling out of the box.\n## About the demo application\nBeing interested in how mortgage rates affect monthly payments and how hard it is to to afford a house in the current times, I decided to write a [mortgage calculator](https://gitlab.com/gitlab-da/tutorials/security-and-governance/devsecops/rust/mortgage-calculator) in Rust, which I will use as an example throughout this tutorial. Feel free to [import this project](https://docs.gitlab.com/user/project/import/repo_by_url/) and follow along.\nThe mortgage calculator will help users calculate monthly mortgage payments, including principal, interest, property taxes, insurance, PMI, and HOA fees. It provides a modern, intuitive GUI using the [egui](https://www.egui.rs/) framework, as well as a CLI for running it in the terminal.\n![Mortgage calculator GUI](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314538/l5bjnzqvpoyikuyxpx2a.png)\nThis application contains a [`.gitlab-ci.yml`](https://gitlab.com/gitlab-da/tutorials/security-and-governance/devsecops/rust/mortgage-calculator/-/blob/main/.gitlab-ci.yml?ref_type=heads) that generates a pipeline, which will build, test, package, scan, and deploy the software. We will go over this pipeline definition in detail in the sections below.\n![Mortgage Calculator Pipeline](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314540/llmsfoaupedhkem0hjqp.png)\n## Building and testing Rust applications\nGitLab's Docker-based CI/CD system excels at Rust development workflows, providing a robust foundation for compilation, testing, and code quality checks. The platform's caching mechanisms are particularly valuable for Rust projects, which can have lengthy compilation times due to the language's thorough optimization and safety checking processes.\n### Building\nRust's excellent cross-compilation capabilities combined with GitLab's flexible CI/CD system create a powerful solution for building applications across multiple platforms. This is particularly valuable for Rust applications that need to run on various operating systems and architectures without sacrificing performance or requiring platform-specific code.\n**Note:** You can learn more about the `.gitlab-ci.yml` by reading the [CI/CD YAML syntax reference](https://docs.gitlab.com/ci/yaml/).\n```yaml\n# Cache configuration to speed up builds by reusing dependencies cache:\n  key: $CI_COMMIT_REF_SLUG                               # Use branch name as cache key\n  paths:\n    - .cargo/                                            # Cache Cargo registry and git dependencies\n    - target/                                            # Cache compiled artifacts\n\n# Base template for Rust jobs - shared configuration .rust-template:\n  image: rust:$RUST_VERSION-slim                         # Use slim Rust image for faster downloads\n  before_script:\n    # Install system dependencies required for building the Rust application\n    - apt-get update && apt-get install -y pkg-config libssl-dev libgtk-3-dev libxcb-shape0-dev libxcb-xfixes0-dev\n\n# Template for cross-compilation build jobs .build-template:\n  extends: .rust-template                                # Inherit from rust-template\n  stage: build                                           # Execute during build stage\n  script:\n    - rustup target add $TARGET                          # Add the target platform for cross-compilation\n    - cargo build --release --target $TARGET             # Build optimized release binary for target platform\n\n# Build for Linux x86_64 (primary target platform) build-linux:\n  extends: .build-template                               # Use build template configuration\n  variables:\n    TARGET: x86_64-unknown-linux-gnu                     # Linux 64-bit target\n  artifacts:\n    paths:\n      - target/$TARGET/release/mortgage-calculator       # Save the compiled binary\n    expire_in: 1 week                                    # Keep artifacts for 1 week\n  allow_failure: false                                   # This build must succeed\n\n# Build for Windows x86_64 (cross-compilation) build-windows:\n  extends: .build-template                               # Use build template configuration\n  variables:\n    TARGET: x86_64-pc-windows-gnu                        # Windows 64-bit target\n  artifacts:\n    paths:\n      - target/$TARGET/release/mortgage-calculator       # Save the compiled binary\n    expire_in: 1 week                                    # Keep artifacts for 1 week\n  allow_failure: true                                    # Allow this build to fail (cross-compilation can be tricky)\n\n# Build for macOS x86_64 (cross-compilation) build-macos:\n  extends: .build-template                               # Use build template configuration\n  variables:\n    TARGET: x86_64-apple-darwin                          # macOS 64-bit target\n  artifacts:\n    paths:\n      - target/$TARGET/release/mortgage-calculator       # Save the compiled binary\n    expire_in: 1 week                                    # Keep artifacts for 1 week\n  allow_failure: true                                    # Allow this build to fail (cross-compilation can be tricky)\n\n```\nThis GitLab CI configuration defines three build jobs that cross-compile a Rust mortgage calculator application for different platforms:\n* `build-linux` creates a Linux x86_64 binary (required to pass) * `build-windows` creates Windows binaries (allowed to fail) * `build-macos` creates macOS x86_64 binaries (allowed to fail)\nAll builds use shared templates for dependency caching and consistent build environments.\n### Testing\nGitLab CI/CD streamlines code testing through its integrated pipeline system that automatically triggers test suites whenever code is pushed to the repository. Developers can define multiple types of tests — unit tests, integration tests, linting, and formatting checks — all within a single `.gitlab-ci.yml` configuration file, with each test running in isolated Docker containers to ensure consistent environments.\n```yaml\n# Run unit tests test:unit:\n  extends: .rust-template                                # Use Rust template configuration\n  stage: test                                            # Execute during test stage\n  script:\n    - cargo test --verbose                               # Run all unit tests with verbose output\n\n# Run integration tests using the compiled binary test:integration:\n  extends: .rust-template                                # Use Rust template configuration\n  stage: test                                            # Execute during test stage\n  script:\n    # Test the compiled binary with sample inputs and verify expected output\n    - target/x86_64-unknown-linux-gnu/release/mortgage-calculator --cli calculate --property-value 350000 --down-payment 70000 --interest-rate 5.0 | grep -q \"TOTAL MONTHLY PAYMENT\"\n  needs:\n    - build-linux                                        # Depends on Linux build job completing\n\n# Run Clippy linter for code quality checks test:clippy:\n  extends: .rust-template                                # Use Rust template configuration\n  stage: test                                            # Execute during test stage\n  script:\n    - rustup component add clippy                        # Install Clippy linter\n    - cargo clippy -- -D warnings                       # Run Clippy and treat warnings as errors\n  allow_failure: true                                    # Allow linting failures (can be improved over time)\n\n# Check code formatting test:format:\n  extends: .rust-template                                # Use Rust template configuration\n  stage: test                                            # Execute during test stage\n  script:\n    - rustup component add rustfmt                       # Install Rust formatter\n    - cargo fmt -- --check                              # Check if code is properly formatted\n  allow_failure: true                                    # Allow formatting failures (can be improved over time)\n\n```\nThis GitLab CI configuration creates four test jobs that validate a Rust mortgage calculator application:\n* `test:unit` runs unit tests * `test:integration` executes the compiled Linux binary with sample inputs to verify functionality * `test:clippy` performs code quality linting (allowed to fail) * `test:format` checks code formatting compliance (allowed to fail)\n## Package and Container Registries\nGitLab's [Package Registry](https://docs.gitlab.com/user/packages/package_registry/) provides a secure solution to the common challenge of sharing internal libraries and proprietary code within organizations. This capability is essential for enterprises and teams that need to maintain artifacts while leveraging the broader Rust ecosystem.\nThe registry supports [generic artifacts](https://docs.gitlab.com/user/packages/generic_packages/) with fine-grained access controls that align with GitLab's project permissions. This means teams can share libraries securely across projects while maintaining intellectual property protection and compliance requirements.\nAdditonally, we can containerize our application and store the container images in GitLab's built-in [Container Registry](https://docs.gitlab.com/user/packages/container_registry/).\n### Publishing to GitLab Package Registry\nThis section of our `.gitlab-ci.yml` demonstrates how to package and publish Rust applications as tar archives to GitLab's generic package registry using CI/CD automation.\n```yaml\n# Package application as tar archive package:tar:\n  image: alpine/curl:8.12.1                             # Lightweight image with curl for uploading\n  stage: package                                         # Execute during package stage\n  variables:\n    PACKAGE_NAME: mortgage-calculator.tar.gz             # Name of the archive file\n  script:\n    # Create tar archive of the Linux binary\n    - tar -czvf $PACKAGE_NAME target/x86_64-unknown-linux-gnu/release/mortgage-calculator\n    # Upload archive to GitLab Package Registry using API\n    - |\n      curl -v --location --header \"JOB-TOKEN: $CI_JOB_TOKEN\" \\\n      --upload-file $PACKAGE_NAME \\\n      \"$CI_API_V4_URL/projects/$CI_PROJECT_ID/packages/generic/tar/$CI_COMMIT_BRANCH/$PACKAGE_NAME\"\n  artifacts:\n    paths:\n      - target/x86_64-unknown-linux-gnu/release/mortgage-calculator  # Save binary\n      - mortgage-calculator.tar.gz                      # Save archive\n    expire_in: 1 week                                    # Keep artifacts for 1 week\n  needs:\n    - build-linux                                        # Depends on Linux build completing\n\n```\nThis GitLab CI configuration defines one packaging job `package:tar` that creates a compressed tar archive of the Linux mortgage calculator binary and uploads it to GitLab's Package Registry, while also saving both the binary and archive as pipeline artifacts.\n![Package Registry](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314541/uqnejcipnge3r1dngotm.png)\n### Publishing to GitLab Container Registry\nThe below shows the process of building Dockerfiles and publishing Docker images to GitLab's Container Registry with proper tagging and authentication.\n```yaml\n# Package application as Docker image package:docker:\n  image: docker:24.0                                     # Use Docker image for building containers\n  stage: package                                         # Execute during package stage\n  services:\n    - docker:24.0-dind                                   # Docker-in-Docker service for building images\n  before_script:\n    # Login to GitLab Container Registry\n    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY\n  script:\n    - docker build -t $DOCKER_IMAGE_NAME:$DOCKER_IMAGE_TAG .  # Build Docker image with commit SHA tag\n    - docker tag $DOCKER_IMAGE_NAME:$DOCKER_IMAGE_TAG $DOCKER_IMAGE_NAME:latest  # Also tag as latest\n    - docker push $DOCKER_IMAGE_NAME:$DOCKER_IMAGE_TAG  # Push tagged image to registry\n    - docker push $DOCKER_IMAGE_NAME:latest             # Push latest image to registry\n\n```\nThis GitLab CI configuration defines one Docker packaging job `package:docker` that builds a Docker image of the mortgage calculator application, tags it with both the commit SHA and \"latest,\" and then pushes both tagged versions to  GitLab's Container Registry.\n![Container Registry](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314537/nlodhvdnpqccf0cryfqu.png)\n## Security scanning\nGitLab security scanning provides comprehensive protection that goes beyond Rust's built-in memory safety guarantees. While Rust prevents many common security vulnerabilities at compile time, applications still need protection against dependency vulnerabilities, unsafe code blocks, and logical security issues.\nThe platform's Static Application Security Testing (SAST) integrates seamlessly with Rust's toolchain, providing automated security analysis as part of the CI/CD pipeline This proactive approach catches security issues before they reach production, supporting both compliance requirements and secure development practices.\nGitLab's comprehensive security features including SAST, dependency scanning, secret detection and more can easily be implemented via templates, as seen below. **Note:** Additional configuration is required to [enable SAST for Rust](https://docs.gitlab.com/user/application_security/sast/#scan-a-rust-application).\n```yaml\n# Include GitLab's security scanning templates for DevSecOps include:\n  - template: Jobs/SAST.gitlab-ci.yml                    # Static Application Security Testing\n  - template: Jobs/Dependency-Scanning.latest.gitlab-ci.yml  # Scan dependencies for vulnerabilities\n  - template: Jobs/Container-Scanning.gitlab-ci.yml      # Scan Docker containers for vulnerabilities\n  - template: Jobs/SAST-IaC.gitlab-ci.yml               # Infrastructure as Code security scanning\n  - template: Jobs/Secret-Detection.gitlab-ci.yml        # Detect secrets in source code\n\n```\nSecurity scanners can be configured similar to how you would configure any GitLab job:\n```yaml\n# Configure Semgrep SAST scanning for Rust files semgrep-sast:\n  rules:\n    - if: $CI_COMMIT_BRANCH                              # Run on any branch\n      exists:\n        - \"**/*.rs\"                                      # Only if Rust files exist\n  variables:\n    SAST_EXCLUDED_PATHS: \".cargo/**\"                     # Exclude Cargo cache from scanning\n\n# Scan Docker container for security vulnerabilities container_scanning:\n  stage: container-security                              # Execute during container-security stage\n  variables:\n    CS_IMAGE: $DOCKER_IMAGE_NAME:$DOCKER_IMAGE_TAG      # Image to scan\n    CS_DOCKERFILE_PATH: Dockerfile                       # Path to Dockerfile for context\n  needs:\n    - package:docker                                     # Depends on Docker image being built\n\n```\nWhen vulnerabilites are detected in a merge request (MR), you can see all the vulnerabilites detected and use the provided information to either resolve or dismiss vulnerabilities.\n![Vulnerability MR view](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314544/gcicke3ltvbcv57mr8zr.png)\nYou also can add [Security Policies](http://docs.gitlab.com/user/application_security/policies/) to require approval before vulnerable code can be merged, or to force scanners to run regardless of what is in the `.gitlab-ci.yml`.\n![Merge Request Approval Policy](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314538/c95nwocol03lonrr6r4n.png)\nYou can triage all the vulnerabilities found in your default branch by using the [Vulnerability Report](https://docs.gitlab.com/user/application_security/vulnerability_report/):\n![Vulnerability Report](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314544/b0nctigbv1ddpzizkp9x.png)\n## Documentation with GitLab Pages\n[GitLab Pages](https://docs.gitlab.com/user/project/pages/) provides an excellent platform for hosting Rust documentation, integrating seamlessly with Cargo's built-in documentation generation. This creates a powerful workflow where API documentation, project guides, and examples are automatically generated and deployed with every code change.\nThe combination of `cargo doc` and GitLab Pages enables teams to maintain up-to-date documentation without manual intervention, ensuring that documentation stays synchronized with code changes. This is particularly valuable for Rust projects where comprehensive documentation is essential to understand complex APIs and safety contracts.\n### Automated documentation deployment\nThe following code shows the CI/CD configuration for automatically generating and deploying Rust documentation using `cargo doc` and GitLab Pages.\n```yaml\n# Generate and publish documentation using GitLab Pages build-documentation:\n  extends: .rust-template                                # Use Rust template configuration\n  stage: build                                           # Execute during build stage\n  variables:\n    GIT_SUBMODULE_STRATEGY: recursive                    # Clone submodules recursively if needed\n  pages: true                                            # Enable GitLab Pages deployment\n  script:\n    - cargo doc --no-deps                                # Generate documentation without dependencies\n    - mv target/doc public                               # Move docs to public directory for Pages\n  artifacts:\n    paths:\n      - public                                           # GitLab Pages serves from public directory\n  rules:\n    - if: $CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH     # Only run on default branch (main/master)\n  environment:\n    name: documentation                                  # Environment name for tracking\n    url: $CI_PAGES_URL/mortgage_calculator/index.html   # Documentation URL\n  allow_failure: true                                    # Allow documentation build to fail\n\n```\nOnce the job is complete, you can see the deployed documentation by visiting the [GitLab Environment](https://docs.gitlab.com/ci/environments/) it has been deployed to.\n![Pages environment](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314541/aofa6wwjugeyeshuwg9r.png)\nThis allows you to manage multiple versions of the documentation in different envrionments. The documentation will be deployed consistent with the `cargo doc` output:\n![Pages build](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314541/go0tmljjzoxq5bujsdbv.png)\n## Deploy anywhere\nOne of GitLab's greatest strengths is its infrastructure-agnostic approach to deployment. Whether your organization runs on traditional on-premises servers, modern cloud platforms, hybrid environments, or edge computing infrastructure, GitLab's CI/CD system can deploy Rust applications seamlessly across any target environment.\nGitLab's deployment flexibility stems from its container-first approach and extensive integration ecosystem. The platform supports deployment to virtually any infrastructure that can run containers, virtual machines, or bare-metal applications. This versatility is particularly valuable for Rust applications, which often need to run in diverse environments ranging from resource-constrained embedded systems to high-performance cloud clusters.\n### Kubernetes deployment\nGitLab simplifies Kubernetes deployments by providing built-in cluster integration and pre-configured Docker images that include essential tools like Helm and kubectl, eliminating the need for developers to set up complex deployment environments.\n```yaml\n# Deploy application to Kubernetes cluster deploy:kubernetes:\n  stage: deploy                                          # Execute during deploy stage\n  image: registry.gitlab.com/gitlab-org/cluster-integration/helm-install-image:helm-3.10.0-kube-1.24.6-alpine-3.15  # Image with Helm and kubectl\n  variables:\n    HELM_HOST: \"localhost:44134\"                         # Helm host configuration\n    HELM_DEPLOY_NAME: mortgage-calc-$CI_COMMIT_REF_NAME  # Deployment name based on branch\n    HELM_DEPLOY_NAMESPACE: calc-app                      # Kubernetes namespace for deployment\n    KUBE_CONTEXT: $CI_PROJECT_PATH:rust-mortgage-calculator  # Kubernetes context to use\n  script:\n    - kubectl config use-context $KUBE_CONTEXT          # Set the kubectl context\n    # Deploy using Helm with custom values and Docker image\n    - helm upgrade --install $HELM_DEPLOY_NAME chart -f chart/values.yaml\n      --namespace $HELM_DEPLOY_NAMESPACE\n      --create-namespace\n      --set image=$DOCKER_IMAGE_NAME:$DOCKER_IMAGE_TAG\n      --set calc.name=$HELM_DEPLOY_NAME \n  needs:\n    - package:docker                                     # Depends on Docker image being available\n\n```\nThis GitLab CI configuration defines one deployment job `deploy:kubernetes` that uses Helm to deploy the mortgage calculator application to a Kubernetes cluster, creating or upgrading the deployment in a dedicated namespace while using the Docker image built in the previous packaging stage.\n![Kubernetes output](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314538/bgmbh4qyfxcnnlqvsitc.png)\n## GitLab Duo AI features\n[GitLab Duo](https://about.gitlab.com/gitlab-duo/) AI features provide significant advantages for Rust development by offering intelligent code suggestions and explanations specifically tailored to the language's unique syntax and patterns.\nThe GitLab platform supports Rust as one of its [directly-supported languages](https://docs.gitlab.com/user/project/repository/code_suggestions/supported_extensions/#supported-languages-by-ide) for every IDE, ensuring high-quality code completion and generation that understands Rust's ownership model, memory safety principles, and idiomatic patterns. \n### GitLab Duo Code Suggestions\nGitLab Duo's ability to provide contextual code suggestions while typing helps developers navigate Rust's sometimes complex syntax more efficiently, reducing the learning curve for newcomers and accelerating productivity for experienced developers.\n![Code Suggestions](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314538/uvy6hmzvyd0mnqeic9tq.png)\n### GitLab Duo Chat\n[GitLab Duo Chat](https://about.gitlab.com/blog/gitlab-duo-chat-gets-agentic-ai-makeover/) complements the code suggestions by offering conversational assistance for explaining Rust code sections, debugging compiler errors, and providing guidance on best practices. This is particularly valuable in Rust development where compiler error messages, while helpful, can sometimes be overwhelming for developers transitioning from other languages. The AI can help interpret Rust's detailed error messages and suggest fixes, making the development process more efficient by reducing the time spent deciphering compilation issues.\n![GitLab Duo Chat](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756314537/depxztu1h89bez3ylwk3.png)\nGitLab Duo Chat can also be used directly from Vulnerability Report to explain a vulnerability. GitLab Duo [Vulnerability Explanation](https://about.gitlab.com/the-source/ai/understand-and-resolve-vulnerabilities-with-ai-powered-gitlab-duo/) represents a significant advancement in making application security more accessible and actionable for development teams. Rather than simply flagging potential issues with cryptic error codes. or technical jargon, AI breaks down each vulnerability's nature, potential impact, and remediation steps in terms that developers at all skill levels can quickly grasp. This democratization of security knowledge accelerates the remediation process, reduces the back-and-forth between security and development teams, and ultimately helps organizations ship more secure code faster:\n![Vulnerability Explain 1](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405091/rrcenbfazhhulmrp99yx.png) \u003Cp>\u003C/p>\n![Vulnerability Explain 2](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405094/b3o4lkexyn9lp41ib8ye.png) \u003Cp>\u003C/p>\n![Vulnerability Explain 3](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405095/y56wq8j5tg10t4dgbgfq.png) \u003Cp>\u003C/p>\n![Vulnerability Explain 4](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405090/mpc1mst4ydijpqdtlljm.png) \u003Cp>\u003C/p>\nGitLab Duo also provides [Agentic Chat](https://docs.gitlab.com/user/gitlab_duo_chat/agentic_chat/), which serves as an intelligent development companion for Rust applications, offering context-aware assistance throughout the entire development lifecycle. Developers can leverage its conversational interface to generate Rust code snippets, scaffold new Rust projects with appropriate `Cargo.toml` configurations, and much more.\n### GitLab Duo Vulnerability Resolution\nGitLab Duo [Vulnerability Resolution](https://docs.gitlab.com/user/application_security/vulnerabilities/#vulnerability-resolution) uses AI to automatically generate specific code fixes for detected security issues, dramatically reducing remediation time from hours to minutes. AI analyzes vulnerable code patterns and proposes precise patches tailored to the project's context, language, and dependencies while maintaining code functionality and style consistency. This automation is particularly effective for common vulnerabilities like SQL injection and cross-site scripting, enabling development teams to maintain velocity while significantly improving their security posture without disrupting the development workflow.\n![Duo Remediate Example 1](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405090/blpwclp68igekkecbyna.png) \u003Cp>\u003C/p>\n![Duo Remediate Example 2](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405090/avvncsspwyirtk14jdbe.png) \u003Cp>\u003C/p>\n### GitLab Duo Code Review\nGitLab Duo's [AI-powered code review](https://docs.gitlab.com/user/project/merge_requests/duo_in_merge_requests/#have-gitlab-duo-review-your-code) enhances the development process by providing intelligent, automated feedback on MRs before human reviewers engage. AI analyzes code changes for potential bugs, security vulnerabilities, performance issues, and adherence to coding standards, offering contextual suggestions and explanations that help developers catch issues early. By augmenting traditional peer reviews with consistent, immediate AI insights, this feature reduces the burden on senior developers, accelerates the review cycle, and ensures that basic quality checks are consistently applied across all code contributions, ultimately improving code quality while allowing human reviewers to focus on higher-level architectural and business logic concerns.\n![Duo Code Review 1](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405090/hewxrp2f22mf2fe4daaa.png) \u003Cp>\u003C/p>\n![Duo Code Review 2](https://res.cloudinary.com/about-gitlab-com/image/upload/v1756405091/qbw1gi0l4ngysnyjwoy8.png) \u003Cp>\u003C/p>\nThese are just some of the AI feautures that can be used to allow you to ship more secure Rust software faster than ever. To learn about all the GitLab AI features provided, visit the [GitLab Duo solution page](https://about.gitlab.com/gitlab-duo/).\n## The GitLab advantage for Rust\nGitLab provides a complete development platform that matches Rust's comprehensive approach:\n**Integrated Workflow:** - **Single Platform:** Code, CI/CD, security, and deployment in one place - **Rust-optimized:** Docker-based builds perfect for Rust's toolchain - **Security First:** Built-in security scanning - **Enterprise-ready:** Scalable infrastructure for large teams\n**Performance Benefits:** - **Efficient Caching:** Speeds up Rust's longer compilation times - **Parallel Builds:** Maximizes GitLab Runner efficiency - **Artifact Management:** Streamlined binary distribution\n**Developer Experience:** - **Familiar Tools:** Leverage standard Rust tooling (Cargo, Clippy, rustfmt) - **Visual Feedback:** Comprehensive dashboards and reporting - **Automation:** Reduces manual deployment and testing overhead - **GitLab Duo AI:** Ship more secure software faster with AI throughout the entire software development lifecycle\nGitLab's platform capabilities perfectly complement Rust's strengths, creating an ecosystem where safety, performance, and developer productivity converge. Rust applications on GitLab represent the cutting edge of software development—powered by a platform that understands and enhances the Rust development experience.\nTo learn more about the benefits of GitLab, sign up for a [free trial of GitLab Ultimate with Duo Enterprise](https://about.gitlab.com/free-trial/).\n","yml",{},"/en-us/blog/secure-rust-development-with-gitlab",{"config":30,"title":15,"description":16},{"noIndex":31},false,"en-us/blog/secure-rust-development-with-gitlab",[20,34,22],"open-source","m45kBTHlgiZharTX2ahPeYR1ogA57kMR-XHW6b7xYWM",{"data":37},{"logo":38,"freeTrial":43,"sales":48,"login":53,"items":58,"search":365,"minimal":396,"duo":415,"pricingDeployment":425},{"config":39},{"href":40,"dataGaName":41,"dataGaLocation":42},"/","gitlab logo","header",{"text":44,"config":45},"Get free trial",{"href":46,"dataGaName":47,"dataGaLocation":42},"https://gitlab.com/-/trial_registrations/new?glm_source=about.gitlab.com&glm_content=default-saas-trial/","free trial",{"text":49,"config":50},"Talk to sales",{"href":51,"dataGaName":52,"dataGaLocation":42},"/sales/","sales",{"text":54,"config":55},"Sign in",{"href":56,"dataGaName":57,"dataGaLocation":42},"https://gitlab.com/users/sign_in/","sign in",[59,86,181,186,286,346],{"text":60,"config":61,"cards":63},"Platform",{"dataNavLevelOne":62},"platform",[64,70,78],{"title":60,"description":65,"link":66},"The intelligent orchestration platform for DevSecOps",{"text":67,"config":68},"Explore our Platform",{"href":69,"dataGaName":62,"dataGaLocation":42},"/platform/",{"title":71,"description":72,"link":73},"GitLab Duo Agent Platform","Agentic AI for the entire software lifecycle",{"text":74,"config":75},"Meet GitLab Duo",{"href":76,"dataGaName":77,"dataGaLocation":42},"/gitlab-duo-agent-platform/","gitlab duo agent platform",{"title":79,"description":80,"link":81},"Why GitLab","See the top reasons enterprises choose GitLab",{"text":82,"config":83},"Learn more",{"href":84,"dataGaName":85,"dataGaLocation":42},"/why-gitlab/","why gitlab",{"text":87,"left":12,"config":88,"link":90,"lists":94,"footer":163},"Product",{"dataNavLevelOne":89},"solutions",{"text":91,"config":92},"View all Solutions",{"href":93,"dataGaName":89,"dataGaLocation":42},"/solutions/",[95,119,142],{"title":96,"description":97,"link":98,"items":103},"Automation","CI/CD and automation to accelerate deployment",{"config":99},{"icon":100,"href":101,"dataGaName":102,"dataGaLocation":42},"AutomatedCodeAlt","/solutions/delivery-automation/","automated software delivery",[104,108,111,115],{"text":105,"config":106},"CI/CD",{"href":107,"dataGaLocation":42,"dataGaName":105},"/solutions/continuous-integration/",{"text":71,"config":109},{"href":76,"dataGaLocation":42,"dataGaName":110},"gitlab duo agent platform - product menu",{"text":112,"config":113},"Source Code Management",{"href":114,"dataGaLocation":42,"dataGaName":112},"/solutions/source-code-management/",{"text":116,"config":117},"Automated Software Delivery",{"href":101,"dataGaLocation":42,"dataGaName":118},"Automated software delivery",{"title":120,"description":121,"link":122,"items":127},"Security","Deliver code faster without compromising security",{"config":123},{"href":124,"dataGaName":125,"dataGaLocation":42,"icon":126},"/solutions/application-security-testing/","security and compliance","ShieldCheckLight",[128,132,137],{"text":129,"config":130},"Application Security Testing",{"href":124,"dataGaName":131,"dataGaLocation":42},"Application security testing",{"text":133,"config":134},"Software Supply Chain Security",{"href":135,"dataGaLocation":42,"dataGaName":136},"/solutions/supply-chain/","Software supply chain security",{"text":138,"config":139},"Software Compliance",{"href":140,"dataGaName":141,"dataGaLocation":42},"/solutions/software-compliance/","software compliance",{"title":143,"link":144,"items":149},"Measurement",{"config":145},{"icon":146,"href":147,"dataGaName":148,"dataGaLocation":42},"DigitalTransformation","/solutions/visibility-measurement/","visibility and measurement",[150,154,158],{"text":151,"config":152},"Visibility & Measurement",{"href":147,"dataGaLocation":42,"dataGaName":153},"Visibility and Measurement",{"text":155,"config":156},"Value Stream Management",{"href":157,"dataGaLocation":42,"dataGaName":155},"/solutions/value-stream-management/",{"text":159,"config":160},"Analytics & Insights",{"href":161,"dataGaLocation":42,"dataGaName":162},"/solutions/analytics-and-insights/","Analytics and insights",{"title":164,"items":165},"GitLab for",[166,171,176],{"text":167,"config":168},"Enterprise",{"href":169,"dataGaLocation":42,"dataGaName":170},"/enterprise/","enterprise",{"text":172,"config":173},"Small Business",{"href":174,"dataGaLocation":42,"dataGaName":175},"/small-business/","small business",{"text":177,"config":178},"Public Sector",{"href":179,"dataGaLocation":42,"dataGaName":180},"/solutions/public-sector/","public sector",{"text":182,"config":183},"Pricing",{"href":184,"dataGaName":185,"dataGaLocation":42,"dataNavLevelOne":185},"/pricing/","pricing",{"text":187,"config":188,"link":190,"lists":194,"feature":273},"Resources",{"dataNavLevelOne":189},"resources",{"text":191,"config":192},"View all resources",{"href":193,"dataGaName":189,"dataGaLocation":42},"/resources/",[195,228,246],{"title":196,"items":197},"Getting started",[198,203,208,213,218,223],{"text":199,"config":200},"Install",{"href":201,"dataGaName":202,"dataGaLocation":42},"/install/","install",{"text":204,"config":205},"Quick start guides",{"href":206,"dataGaName":207,"dataGaLocation":42},"/get-started/","quick setup checklists",{"text":209,"config":210},"Learn",{"href":211,"dataGaLocation":42,"dataGaName":212},"https://university.gitlab.com/","learn",{"text":214,"config":215},"Product documentation",{"href":216,"dataGaName":217,"dataGaLocation":42},"https://docs.gitlab.com/","product documentation",{"text":219,"config":220},"Best practice videos",{"href":221,"dataGaName":222,"dataGaLocation":42},"/getting-started-videos/","best practice videos",{"text":224,"config":225},"Integrations",{"href":226,"dataGaName":227,"dataGaLocation":42},"/integrations/","integrations",{"title":229,"items":230},"Discover",[231,236,241],{"text":232,"config":233},"Customer success stories",{"href":234,"dataGaName":235,"dataGaLocation":42},"/customers/","customer success stories",{"text":237,"config":238},"Blog",{"href":239,"dataGaName":240,"dataGaLocation":42},"/blog/","blog",{"text":242,"config":243},"Remote",{"href":244,"dataGaName":245,"dataGaLocation":42},"https://handbook.gitlab.com/handbook/company/culture/all-remote/","remote",{"title":247,"items":248},"Connect",[249,254,258,263,268],{"text":250,"config":251},"GitLab Services",{"href":252,"dataGaName":253,"dataGaLocation":42},"/services/","services",{"text":255,"config":256},"Community",{"href":257,"dataGaName":20,"dataGaLocation":42},"/community/",{"text":259,"config":260},"Forum",{"href":261,"dataGaName":262,"dataGaLocation":42},"https://forum.gitlab.com/","forum",{"text":264,"config":265},"Events",{"href":266,"dataGaName":267,"dataGaLocation":42},"/events/","events",{"text":269,"config":270},"Partners",{"href":271,"dataGaName":272,"dataGaLocation":42},"/partners/","partners",{"backgroundColor":274,"textColor":275,"text":276,"image":277,"link":281},"#2f2a6b","#fff","Insights for the future of software development",{"altText":278,"config":279},"the source promo card",{"src":280},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1758208064/dzl0dbift9xdizyelkk4.svg",{"text":282,"config":283},"Read the latest",{"href":284,"dataGaName":285,"dataGaLocation":42},"/the-source/","the source",{"text":287,"config":288,"lists":290},"Company",{"dataNavLevelOne":289},"company",[291],{"items":292},[293,298,304,306,311,316,321,326,331,336,341],{"text":294,"config":295},"About",{"href":296,"dataGaName":297,"dataGaLocation":42},"/company/","about",{"text":299,"config":300,"footerGa":303},"Jobs",{"href":301,"dataGaName":302,"dataGaLocation":42},"/jobs/","jobs",{"dataGaName":302},{"text":264,"config":305},{"href":266,"dataGaName":267,"dataGaLocation":42},{"text":307,"config":308},"Leadership",{"href":309,"dataGaName":310,"dataGaLocation":42},"/company/team/e-group/","leadership",{"text":312,"config":313},"Team",{"href":314,"dataGaName":315,"dataGaLocation":42},"/company/team/","team",{"text":317,"config":318},"Handbook",{"href":319,"dataGaName":320,"dataGaLocation":42},"https://handbook.gitlab.com/","handbook",{"text":322,"config":323},"Investor relations",{"href":324,"dataGaName":325,"dataGaLocation":42},"https://ir.gitlab.com/","investor relations",{"text":327,"config":328},"Trust Center",{"href":329,"dataGaName":330,"dataGaLocation":42},"/security/","trust center",{"text":332,"config":333},"AI Transparency Center",{"href":334,"dataGaName":335,"dataGaLocation":42},"/ai-transparency-center/","ai transparency center",{"text":337,"config":338},"Newsletter",{"href":339,"dataGaName":340,"dataGaLocation":42},"/company/contact/#contact-forms","newsletter",{"text":342,"config":343},"Press",{"href":344,"dataGaName":345,"dataGaLocation":42},"/press/","press",{"text":347,"config":348,"lists":349},"Contact us",{"dataNavLevelOne":289},[350],{"items":351},[352,355,360],{"text":49,"config":353},{"href":51,"dataGaName":354,"dataGaLocation":42},"talk to sales",{"text":356,"config":357},"Support portal",{"href":358,"dataGaName":359,"dataGaLocation":42},"https://support.gitlab.com","support portal",{"text":361,"config":362},"Customer portal",{"href":363,"dataGaName":364,"dataGaLocation":42},"https://customers.gitlab.com/customers/sign_in/","customer portal",{"close":366,"login":367,"suggestions":374},"Close",{"text":368,"link":369},"To search repositories and projects, login to",{"text":370,"config":371},"gitlab.com",{"href":56,"dataGaName":372,"dataGaLocation":373},"search login","search",{"text":375,"default":376},"Suggestions",[377,379,383,385,389,393],{"text":71,"config":378},{"href":76,"dataGaName":71,"dataGaLocation":373},{"text":380,"config":381},"Code Suggestions (AI)",{"href":382,"dataGaName":380,"dataGaLocation":373},"/solutions/code-suggestions/",{"text":105,"config":384},{"href":107,"dataGaName":105,"dataGaLocation":373},{"text":386,"config":387},"GitLab on AWS",{"href":388,"dataGaName":386,"dataGaLocation":373},"/partners/technology-partners/aws/",{"text":390,"config":391},"GitLab on Google Cloud",{"href":392,"dataGaName":390,"dataGaLocation":373},"/partners/technology-partners/google-cloud-platform/",{"text":394,"config":395},"Why GitLab?",{"href":84,"dataGaName":394,"dataGaLocation":373},{"freeTrial":397,"mobileIcon":402,"desktopIcon":407,"secondaryButton":410},{"text":398,"config":399},"Start free trial",{"href":400,"dataGaName":47,"dataGaLocation":401},"https://gitlab.com/-/trials/new/","nav",{"altText":403,"config":404},"Gitlab Icon",{"src":405,"dataGaName":406,"dataGaLocation":401},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1758203874/jypbw1jx72aexsoohd7x.svg","gitlab icon",{"altText":403,"config":408},{"src":409,"dataGaName":406,"dataGaLocation":401},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1758203875/gs4c8p8opsgvflgkswz9.svg",{"text":411,"config":412},"Get Started",{"href":413,"dataGaName":414,"dataGaLocation":401},"https://gitlab.com/-/trial_registrations/new?glm_source=about.gitlab.com/get-started/","get started",{"freeTrial":416,"mobileIcon":421,"desktopIcon":423},{"text":417,"config":418},"Learn more about GitLab Duo",{"href":419,"dataGaName":420,"dataGaLocation":401},"/gitlab-duo/","gitlab duo",{"altText":403,"config":422},{"src":405,"dataGaName":406,"dataGaLocation":401},{"altText":403,"config":424},{"src":409,"dataGaName":406,"dataGaLocation":401},{"freeTrial":426,"mobileIcon":431,"desktopIcon":433},{"text":427,"config":428},"Back to pricing",{"href":184,"dataGaName":429,"dataGaLocation":401,"icon":430},"back to pricing","GoBack",{"altText":403,"config":432},{"src":405,"dataGaName":406,"dataGaLocation":401},{"altText":403,"config":434},{"src":409,"dataGaName":406,"dataGaLocation":401},{"title":436,"button":437,"config":442},"See how agentic AI transforms software delivery",{"text":438,"config":439},"Watch GitLab Transcend now",{"href":440,"dataGaName":441,"dataGaLocation":42},"/events/transcend/virtual/","transcend event",{"layout":443,"icon":444},"release","AiStar",{"data":446},{"text":447,"source":448,"edit":454,"contribute":459,"config":464,"items":469,"minimal":676},"Git is a trademark of Software Freedom Conservancy and our use of 'GitLab' is under license",{"text":449,"config":450},"View page source",{"href":451,"dataGaName":452,"dataGaLocation":453},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/","page source","footer",{"text":455,"config":456},"Edit this page",{"href":457,"dataGaName":458,"dataGaLocation":453},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/-/blob/main/content/","web ide",{"text":460,"config":461},"Please contribute",{"href":462,"dataGaName":463,"dataGaLocation":453},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/-/blob/main/CONTRIBUTING.md/","please contribute",{"twitter":465,"facebook":466,"youtube":467,"linkedin":468},"https://twitter.com/gitlab","https://www.facebook.com/gitlab","https://www.youtube.com/channel/UCnMGQ8QHMAnVIsI3xJrihhg","https://www.linkedin.com/company/gitlab-com",[470,517,571,615,642],{"title":182,"links":471,"subMenu":486},[472,476,481],{"text":473,"config":474},"View plans",{"href":184,"dataGaName":475,"dataGaLocation":453},"view plans",{"text":477,"config":478},"Why Premium?",{"href":479,"dataGaName":480,"dataGaLocation":453},"/pricing/premium/","why premium",{"text":482,"config":483},"Why Ultimate?",{"href":484,"dataGaName":485,"dataGaLocation":453},"/pricing/ultimate/","why ultimate",[487],{"title":488,"links":489},"Contact Us",[490,493,495,497,502,507,512],{"text":491,"config":492},"Contact sales",{"href":51,"dataGaName":52,"dataGaLocation":453},{"text":356,"config":494},{"href":358,"dataGaName":359,"dataGaLocation":453},{"text":361,"config":496},{"href":363,"dataGaName":364,"dataGaLocation":453},{"text":498,"config":499},"Status",{"href":500,"dataGaName":501,"dataGaLocation":453},"https://status.gitlab.com/","status",{"text":503,"config":504},"Terms of use",{"href":505,"dataGaName":506,"dataGaLocation":453},"/terms/","terms of use",{"text":508,"config":509},"Privacy statement",{"href":510,"dataGaName":511,"dataGaLocation":453},"/privacy/","privacy statement",{"text":513,"config":514},"Cookie preferences",{"dataGaName":515,"dataGaLocation":453,"id":516,"isOneTrustButton":12},"cookie preferences","ot-sdk-btn",{"title":87,"links":518,"subMenu":527},[519,523],{"text":520,"config":521},"DevSecOps platform",{"href":69,"dataGaName":522,"dataGaLocation":453},"devsecops platform",{"text":524,"config":525},"AI-Assisted Development",{"href":419,"dataGaName":526,"dataGaLocation":453},"ai-assisted development",[528],{"title":529,"links":530},"Topics",[531,536,541,546,551,556,561,566],{"text":532,"config":533},"CICD",{"href":534,"dataGaName":535,"dataGaLocation":453},"/topics/ci-cd/","cicd",{"text":537,"config":538},"GitOps",{"href":539,"dataGaName":540,"dataGaLocation":453},"/topics/gitops/","gitops",{"text":542,"config":543},"DevOps",{"href":544,"dataGaName":545,"dataGaLocation":453},"/topics/devops/","devops",{"text":547,"config":548},"Version Control",{"href":549,"dataGaName":550,"dataGaLocation":453},"/topics/version-control/","version control",{"text":552,"config":553},"DevSecOps",{"href":554,"dataGaName":555,"dataGaLocation":453},"/topics/devsecops/","devsecops",{"text":557,"config":558},"Cloud Native",{"href":559,"dataGaName":560,"dataGaLocation":453},"/topics/cloud-native/","cloud native",{"text":562,"config":563},"AI for Coding",{"href":564,"dataGaName":565,"dataGaLocation":453},"/topics/devops/ai-for-coding/","ai for coding",{"text":567,"config":568},"Agentic AI",{"href":569,"dataGaName":570,"dataGaLocation":453},"/topics/agentic-ai/","agentic ai",{"title":572,"links":573},"Solutions",[574,576,578,583,587,590,594,597,599,602,605,610],{"text":129,"config":575},{"href":124,"dataGaName":129,"dataGaLocation":453},{"text":118,"config":577},{"href":101,"dataGaName":102,"dataGaLocation":453},{"text":579,"config":580},"Agile development",{"href":581,"dataGaName":582,"dataGaLocation":453},"/solutions/agile-delivery/","agile delivery",{"text":584,"config":585},"SCM",{"href":114,"dataGaName":586,"dataGaLocation":453},"source code management",{"text":532,"config":588},{"href":107,"dataGaName":589,"dataGaLocation":453},"continuous integration & delivery",{"text":591,"config":592},"Value stream management",{"href":157,"dataGaName":593,"dataGaLocation":453},"value stream management",{"text":537,"config":595},{"href":596,"dataGaName":540,"dataGaLocation":453},"/solutions/gitops/",{"text":167,"config":598},{"href":169,"dataGaName":170,"dataGaLocation":453},{"text":600,"config":601},"Small business",{"href":174,"dataGaName":175,"dataGaLocation":453},{"text":603,"config":604},"Public sector",{"href":179,"dataGaName":180,"dataGaLocation":453},{"text":606,"config":607},"Education",{"href":608,"dataGaName":609,"dataGaLocation":453},"/solutions/education/","education",{"text":611,"config":612},"Financial services",{"href":613,"dataGaName":614,"dataGaLocation":453},"/solutions/finance/","financial services",{"title":187,"links":616},[617,619,621,623,626,628,630,632,634,636,638,640],{"text":199,"config":618},{"href":201,"dataGaName":202,"dataGaLocation":453},{"text":204,"config":620},{"href":206,"dataGaName":207,"dataGaLocation":453},{"text":209,"config":622},{"href":211,"dataGaName":212,"dataGaLocation":453},{"text":214,"config":624},{"href":216,"dataGaName":625,"dataGaLocation":453},"docs",{"text":237,"config":627},{"href":239,"dataGaName":240,"dataGaLocation":453},{"text":232,"config":629},{"href":234,"dataGaName":235,"dataGaLocation":453},{"text":242,"config":631},{"href":244,"dataGaName":245,"dataGaLocation":453},{"text":250,"config":633},{"href":252,"dataGaName":253,"dataGaLocation":453},{"text":255,"config":635},{"href":257,"dataGaName":20,"dataGaLocation":453},{"text":259,"config":637},{"href":261,"dataGaName":262,"dataGaLocation":453},{"text":264,"config":639},{"href":266,"dataGaName":267,"dataGaLocation":453},{"text":269,"config":641},{"href":271,"dataGaName":272,"dataGaLocation":453},{"title":287,"links":643},[644,646,648,650,652,654,656,660,665,667,669,671],{"text":294,"config":645},{"href":296,"dataGaName":289,"dataGaLocation":453},{"text":299,"config":647},{"href":301,"dataGaName":302,"dataGaLocation":453},{"text":307,"config":649},{"href":309,"dataGaName":310,"dataGaLocation":453},{"text":312,"config":651},{"href":314,"dataGaName":315,"dataGaLocation":453},{"text":317,"config":653},{"href":319,"dataGaName":320,"dataGaLocation":453},{"text":322,"config":655},{"href":324,"dataGaName":325,"dataGaLocation":453},{"text":657,"config":658},"Sustainability",{"href":659,"dataGaName":657,"dataGaLocation":453},"/sustainability/",{"text":661,"config":662},"Diversity, inclusion and belonging (DIB)",{"href":663,"dataGaName":664,"dataGaLocation":453},"/diversity-inclusion-belonging/","Diversity, inclusion and belonging",{"text":327,"config":666},{"href":329,"dataGaName":330,"dataGaLocation":453},{"text":337,"config":668},{"href":339,"dataGaName":340,"dataGaLocation":453},{"text":342,"config":670},{"href":344,"dataGaName":345,"dataGaLocation":453},{"text":672,"config":673},"Modern Slavery Transparency Statement",{"href":674,"dataGaName":675,"dataGaLocation":453},"https://handbook.gitlab.com/handbook/legal/modern-slavery-act-transparency-statement/","modern slavery transparency statement",{"items":677},[678,681,684],{"text":679,"config":680},"Terms",{"href":505,"dataGaName":506,"dataGaLocation":453},{"text":682,"config":683},"Cookies",{"dataGaName":515,"dataGaLocation":453,"id":516,"isOneTrustButton":12},{"text":685,"config":686},"Privacy",{"href":510,"dataGaName":511,"dataGaLocation":453},[688],{"id":689,"title":18,"body":8,"config":690,"content":692,"description":8,"extension":26,"meta":696,"navigation":12,"path":697,"seo":698,"stem":699,"__hash__":700},"blogAuthors/en-us/blog/authors/fernando-diaz.yml",{"template":691},"BlogAuthor",{"name":18,"config":693},{"headshot":694,"ctfId":695},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659556/Blog/Author%20Headshots/fern_diaz.png","fjdiaz",{},"/en-us/blog/authors/fernando-diaz",{},"en-us/blog/authors/fernando-diaz","lxRJIOydP4_yzYZvsPcuQevP9AYAKREF7i8QmmdnOWc",[702,716,728],{"content":703,"config":714},{"title":704,"description":705,"authors":706,"heroImage":708,"date":709,"body":710,"category":9,"tags":711},"How to use GitLab Container Virtual Registry with Docker Hardened Images","Learn how to simplify container image management with this step-by-step guide.",[707],"Tim Rizzi","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772111172/mwhgbjawn62kymfwrhle.png","2026-03-12","If you're a platform engineer, you've probably had this conversation:\n  \n*\"Security says we need to use hardened base images.\"*\n\n*\"Great, where do I configure credentials for yet another registry?\"*\n\n*\"Also, how do we make sure everyone actually uses them?\"*\n\nOr this one:\n\n*\"Why are our builds so slow?\"*\n\n*\"We're pulling the same 500MB image from Docker Hub in every single job.\"*\n\n*\"Can't we just cache these somewhere?\"*\n\nI've been working on [Container Virtual Registry](https://docs.gitlab.com/user/packages/virtual_registry/container/) at GitLab specifically to solve these problems. It's a pull-through cache that sits in front of your upstream registries — Docker Hub, dhi.io (Docker Hardened Images), MCR, and Quay — and gives your teams a single endpoint to pull from. Images get cached on the first pull. Subsequent pulls come from the cache. Your developers don't need to know or care which upstream a particular image came from.\n\nThis article shows you how to set up Container Virtual Registry, specifically with Docker Hardened Images in mind, since that's a combination that makes a lot of sense for teams concerned about security and not making their developers' lives harder.\n\n## What problem are we actually solving?\n\nThe Platform teams I usually talk to manage container images across three to five registries:\n\n* **Docker Hub** for most base images\n* **dhi.io** for Docker Hardened Images (security-conscious workloads)\n* **MCR** for .NET and Azure tooling\n* **Quay.io** for Red Hat ecosystem stuff\n* **Internal registries** for proprietary images\n\nEach one has its own:\n\n* Authentication mechanism\n* Network latency characteristics\n* Way of organizing image paths\n\nYour CI/CD configs end up littered with registry-specific logic. Credential management becomes a project unto itself. And every pipeline job pulls the same base images over the network, even though they haven't changed in weeks.\n\nContainer Virtual Registry consolidates this. One registry URL. One authentication flow (GitLab's). Cached images are served from GitLab's infrastructure rather than traversing the internet each time.\n\n## How it works\n\nThe model is straightforward:\n\n```text\nYour pipeline pulls:\n  gitlab.com/virtual_registries/container/1000016/python:3.13\n\nVirtual registry checks:\n  1. Do I have this cached? → Return it\n  2. No? → Fetch from upstream, cache it, return it\n\n```\n\nYou configure upstreams in priority order. When a pull request comes in, the virtual registry checks each upstream until it finds the image. The result gets cached for a configurable period (default 24 hours).\n\n```text\n┌─────────────────────────────────────────────────────────┐\n│                    CI/CD Pipeline                       │\n│                          │                              │\n│                          ▼                              │\n│   gitlab.com/virtual_registries/container/\u003Cid>/image   │\n└─────────────────────────────────────────────────────────┘\n                           │\n                           ▼\n┌─────────────────────────────────────────────────────────┐\n│            Container Virtual Registry                   │\n│                                                         │\n│  Upstream 1: Docker Hub ────────────────┐               │\n│  Upstream 2: dhi.io (Hardened) ────────┐│               │\n│  Upstream 3: MCR ─────────────────────┐││               │\n│  Upstream 4: Quay.io ────────────────┐│││               │\n│                                      ││││               │\n│                    ┌─────────────────┴┴┴┴──┐            │\n│                    │        Cache          │            │\n│                    │  (manifests + layers) │            │\n│                    └───────────────────────┘            │\n└─────────────────────────────────────────────────────────┘\n```\n\n## Why this matters for Docker Hardened Images\n\n[Docker Hardened Images](https://docs.docker.com/dhi/) are great because of the minimal attack surface, near-zero CVEs, proper software bills of materials (SBOMs), and SLSA provenance. If you're evaluating base images for security-sensitive workloads, they should be on your list.\n\nBut adopting them creates the same operational friction as any new registry:\n\n* **Credential distribution**: You need to get Docker credentials to every system that pulls images from dhi.io.\n* **CI/CD changes**: Every pipeline needs to be updated to authenticate with dhi.io.\n* **Developer friction**: People need to remember to use the hardened variants.\n* **Visibility gap**: It's difficulat to tell if teams are actually using hardened images vs. regular ones.\n\nVirtual registry addresses each of these:\n\n**Single credential**: Teams authenticate to GitLab. The virtual registry handles upstream authentication. You configure Docker credentials once, at the registry level, and they apply to all pulls.\n\n**No CI/CD changes per-team**: Point pipelines at your virtual registry. Done. The upstream configuration is centralized.\n\n**Gradual adoption**: Since images get cached with their full path, you can see in the cache what's being pulled. If someone's pulling `library/python:3.11` instead of the hardened variant, you'll know.\n\n**Audit trail**: The cache shows you exactly which images are in active use. Useful for compliance, useful for understanding what your fleet actually depends on.\n\n## Setting it up\n\nHere's a real setup using the Python client from this demo project.\n\n### Create the virtual registry\n\n```python\nfrom virtual_registry_client import VirtualRegistryClient\n\nclient = VirtualRegistryClient()\n\nregistry = client.create_virtual_registry(\n    group_id=\"785414\",  # Your top-level group ID\n    name=\"platform-images\",\n    description=\"Cached container images for platform teams\"\n)\n\nprint(f\"Registry ID: {registry['id']}\")\n# You'll need this ID for the pull URL\n```\n\n### Add Docker Hub as an upstream\n\nFor official images like Alpine, Python, etc.:\n\n```python\ndocker_upstream = client.create_upstream(\n    registry_id=registry['id'],\n    url=\"https://registry-1.docker.io\",\n    name=\"Docker Hub\",\n    cache_validity_hours=24\n)\n```\n\n### Add Docker Hardened Images (dhi.io)\n\nDocker Hardened Images are hosted on `dhi.io`, a separate registry that requires authentication:\n\n```python\ndhi_upstream = client.create_upstream(\n    registry_id=registry['id'],\n    url=\"https://dhi.io\",\n    name=\"Docker Hardened Images\",\n    username=\"your-docker-username\",\n    password=\"your-docker-access-token\",\n    cache_validity_hours=24\n)\n```\n\n### Add other upstreams\n\n```python\n# MCR for .NET teams\nclient.create_upstream(\n    registry_id=registry['id'],\n    url=\"https://mcr.microsoft.com\",\n    name=\"Microsoft Container Registry\",\n    cache_validity_hours=48\n)\n\n# Quay for Red Hat stuff\nclient.create_upstream(\n    registry_id=registry['id'],\n    url=\"https://quay.io\",\n    name=\"Quay.io\",\n    cache_validity_hours=24\n)\n```\n\n### Update your CI/CD\n\nHere's a `.gitlab-ci.yml` that pulls through the virtual registry:\n\n```yaml\nvariables:\n  VIRTUAL_REGISTRY_ID: \u003Cyour_virtual_registry_ID>\n\n  \nbuild:\n  image: docker:24\n  services:\n    - docker:24-dind\n  before_script:\n    # Authenticate to GitLab (which handles upstream auth for you)\n    - echo \"${CI_JOB_TOKEN}\" | docker login -u gitlab-ci-token --password-stdin gitlab.com\n  script:\n    # All of these go through your single virtual registry\n    \n    # Official Docker Hub images (use library/ prefix)\n    - docker pull gitlab.com/virtual_registries/container/${VIRTUAL_REGISTRY_ID}/library/alpine:latest\n    \n    # Docker Hardened Images from dhi.io (no prefix needed)\n    - docker pull gitlab.com/virtual_registries/container/${VIRTUAL_REGISTRY_ID}/python:3.13\n    \n    # .NET from MCR\n    - docker pull gitlab.com/virtual_registries/container/${VIRTUAL_REGISTRY_ID}/dotnet/sdk:8.0\n```\n\n### Image path formats\n\nDifferent registries use different path conventions:\n\n| Registry | Pull URL Example |\n|----------|------------------|\n| Docker Hub (official) | `.../library/python:3.11-slim` |\n| Docker Hardened Images (dhi.io) | `.../python:3.13` |\n| MCR | `.../dotnet/sdk:8.0` |\n| Quay.io | `.../prometheus/prometheus:latest` |\n\n### Verify it's working\n\nAfter some pulls, check your cache:\n\n```python\nupstreams = client.list_registry_upstreams(registry['id'])\nfor upstream in upstreams:\n    entries = client.list_cache_entries(upstream['id'])\n    print(f\"{upstream['name']}: {len(entries)} cached entries\")\n\n```\n\n## What the numbers look like\n\nI ran tests pulling images through the virtual registry:\n\n| Metric | Without Cache | With Warm Cache |\n|--------|---------------|-----------------|\n| Pull time (Alpine) | 10.3s | 4.2s |\n| Pull time (Python 3.13 DHI) | 11.6s | ~4s |\n| Network roundtrips to upstream | Every pull | Cache misses only |\n\n\n\n\nThe first pull is the same speed (it has to fetch from upstream). Every pull after that, for the cache validity period, comes straight from GitLab's storage. No network hop to Docker Hub, dhi.io, MCR, or wherever the image lives.\n\nFor a team running hundreds of pipeline jobs per day, that's hours of cumulative build time saved.\n\n## Practical considerations\nHere are some considerations to keep in mind:\n\n### Cache validity\n\n24 hours is the default. For security-sensitive images where you want patches quickly, consider 12 hours or less:\n\n```python\nclient.create_upstream(\n    registry_id=registry['id'],\n    url=\"https://dhi.io\",\n    name=\"Docker Hardened Images\",\n    username=\"your-username\",\n    password=\"your-token\",\n    cache_validity_hours=12\n)\n```\n\nFor stable, infrequently-updated images (like specific version tags), longer validity is fine.\n\n### Upstream priority\n\nUpstreams are checked in order. If you have images with the same name on different registries, the first matching upstream wins.\n\n### Limits\n\n* Maximum of 20 virtual registries per group\n* Maximum of 20 upstreams per virtual registry\n\n## Configuration via UI\n\nYou can also configure virtual registries and upstreams directly from the GitLab UI—no API calls required. Navigate to your group's **Settings > Packages and registries > Virtual Registry** to:\n\n* Create and manage virtual registries\n* Add, edit, and reorder upstream registries\n* View and manage the cache\n* Monitor which images are being pulled\n\n## What's next\n\nWe're actively developing:\n\n* **Allow/deny lists**: Use regex to control which images can be pulled from specific upstreams.\n\nThis is beta software. It works, people are using it in production, but we're still iterating based on feedback.\n\n## Share your feedback\n\nIf you're a platform engineer dealing with container registry sprawl, I'd like to understand your setup:\n\n* How many upstream registries are you managing?\n* What's your biggest pain point with the current state?\n* Would something like this help, and if not, what's missing?\n\nPlease share your experiences in the [Container Virtual Registry feedback issue](https://gitlab.com/gitlab-org/gitlab/-/work_items/589630).\n## Related resources\n- [New GitLab metrics and registry features help reduce CI/CD bottlenecks](https://about.gitlab.com/blog/new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks/#container-virtual-registry)\n- [Container Virtual Registry documentation](https://docs.gitlab.com/user/packages/virtual_registry/container/)\n- [Container Virtual Registry API](https://docs.gitlab.com/api/container_virtual_registries/)",[22,712,713],"product","features",{"featured":31,"template":13,"slug":715},"using-gitlab-container-virtual-registry-with-docker-hardened-images",{"content":717,"config":726},{"title":718,"description":719,"authors":720,"heroImage":722,"date":723,"category":9,"tags":724,"body":725},"How IIT Bombay students are coding the future with GitLab","At GitLab, we often talk about how software accelerates innovation. But sometimes, you have to step away from the Zoom calls and stand in a crowded university hall to remember why we do this.",[721],"Nick Veenhof","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750099013/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%2814%29_6VTUA8mUhOZNDaRVNPeKwl_1750099012960.png","2026-01-08",[20,609,21],"The GitLab team recently had the privilege of judging the **iHack Hackathon** at **IIT Bombay's E-Summit**. The energy was electric, the coffee was flowing, and the talent was undeniable. But what struck us most wasn't just the code — it was the sheer determination of students to solve real-world problems, often overcoming significant logistical and financial hurdles to simply be in the room.\n\n\nThrough our [GitLab for Education program](https://about.gitlab.com/solutions/education/), we aim to empower the next generation of developers with tools and opportunity. Here is a look at what the students built, and how they used GitLab to bridge the gap between idea and reality.\n\n## The challenge: Build faster, build securely\n\nThe premise for the GitLab track of the hackathon was simple: Don't just show us a product; show us how you built it. We wanted to see how students utilized GitLab's platform — from Issue Boards to CI/CD pipelines — to accelerate the development lifecycle.\n\nThe results were inspiring.\n\n## The winners\n\n### 1st place: Team Decode — Democratizing Scientific Research\n\n**Project:** FIRE (Fast Integrated Research Environment)\n\nTeam Decode took home the top prize with a solution that warms a developer's heart: a local-first, blazing-fast data processing tool built with [Rust](https://about.gitlab.com/blog/secure-rust-development-with-gitlab/) and Tauri. They identified a massive pain point for data science students: existing tools are fragmented, slow, and expensive.\n\nTheir solution, FIRE, allows researchers to visualize complex formats (like NetCDF) instantly. What impressed the judges most was their \"hacker\" ethos. They didn't just build a tool; they built it to be open and accessible.\n\n**How they used GitLab:** Since the team lived far apart, asynchronous communication was key. They utilized **GitLab Issue Boards** and **Milestones** to track progress and integrated their repo with Telegram to get real-time push notifications. As one team member noted, \"Coordinating all these technologies was really difficult, and what helped us was GitLab... the Issue Board really helped us track who was doing what.\"\n\n![Team Decode](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380253/epqazj1jc5c7zkgqun9h.jpg)\n\n### 2nd place: Team BichdeHueDost — Reuniting to Solve Payments\n\n**Project:** SemiPay (RFID Cashless Payment for Schools)\n\nThe team name, BichdeHueDost, translates to \"Friends who have been set apart.\" It's a fitting name for a group of friends who went to different colleges but reunited to build this project. They tackled a unique problem: handling cash in schools for young children. Their solution used RFID cards backed by a blockchain ledger to ensure secure, cashless transactions for students.\n\n**How they used GitLab:** They utilized [GitLab CI/CD](https://about.gitlab.com/topics/ci-cd/) to automate the build process for their Flutter application (APK), ensuring that every commit resulted in a testable artifact. This allowed them to iterate quickly despite the \"flaky\" nature of cross-platform mobile development.\n\n![Team BichdeHueDost](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380253/pkukrjgx2miukb6nrj5g.jpg)\n\n### 3rd place: Team ZenYukti — Agentic Repository Intelligence\n\n**Project:** RepoInsight AI (AI-powered, GitLab-native intelligence platform)\n\nTeam ZenYukti impressed us with a solution that tackles a universal developer pain point: understanding unfamiliar codebases. What stood out to the judges was the tool's practical approach to onboarding and code comprehension: RepoInsight-AI automatically generates documentation, visualizes repository structure, and even helps identify bugs, all while maintaining context about the entire codebase.\n\n**How they used GitLab:** The team built a comprehensive CI/CD pipeline that showcased GitLab's security and DevOps capabilities. They integrated [GitLab's Security Templates](https://gitlab.com/gitlab-org/gitlab/-/tree/master/lib/gitlab/ci/templates/Security) (SAST, Dependency Scanning, and Secret Detection), and utilized [GitLab Container Registry](https://docs.gitlab.com/user/packages/container_registry/) to manage their Docker images for backend and frontend components. They created an AI auto-review bot that runs on merge requests, demonstrating an \"agentic workflow\" where AI assists in the development process itself.\n\n![Team ZenYukti](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380253/ymlzqoruv5al1secatba.jpg)\n\n## Beyond the code: A lesson in inclusion\n\nWhile the code was impressive, the most powerful moment of the event happened away from the keyboard.\n\nDuring the feedback session, we learned about the journey Team ZenYukti took to get to Mumbai. They traveled over 24 hours, covering nearly 1,800 kilometers. Because flights were too expensive and trains were booked, they traveled in the \"General Coach,\" a non-reserved, severely overcrowded carriage.\n\nAs one student described it:\n\n*\"You cannot even imagine something like this... there are no seats... people sit on the top of the train. This is what we have endured.\"*\n\nThis hit home. [Diversity, Inclusion, and Belonging](https://handbook.gitlab.com/handbook/company/culture/inclusion/) are core values at GitLab. We realized that for these students, the barrier to entry wasn't intellect or skill, it was access.\n\nIn that moment, we decided to break that barrier. We committed to reimbursing the travel expenses for the participants who struggled to get there. It's a small step, but it underlines a massive truth: **talent is distributed equally, but opportunity is not.**\n\n![hackathon class together](https://res.cloudinary.com/about-gitlab-com/image/upload/v1767380252/o5aqmboquz8ehusxvgom.jpg)\n\n### The future is bright (and automated)\n\nWe also saw incredible potential in teams like Prometheus, who attempted to build an autonomous patch remediation tool (DevGuardian), and Team Arrakis, who built a voice-first job portal for blue-collar workers using [GitLab Duo](https://about.gitlab.com/gitlab-duo/) to troubleshoot their pipelines.\n\nTo all the students who participated: You are the future. Through [GitLab for Education](https://about.gitlab.com/solutions/education/), we are committed to providing you with the top-tier tools (like GitLab Ultimate) you need to learn, collaborate, and change the world — whether you are coding from a dorm room, a lab, or a train carriage. **Keep shipping.**\n\n> :bulb: Learn more about the [GitLab for Education program](https://about.gitlab.com/solutions/education/).\n",{"slug":727,"featured":31,"template":13},"how-iit-bombay-students-code-future-with-gitlab",{"content":729,"config":737},{"title":730,"description":731,"authors":732,"heroImage":733,"date":734,"category":9,"tags":735,"body":736},"Artois University elevates research and curriculum with GitLab Ultimate for Education","Artois University's CRIL leveraged the GitLab for Education program to gain free access to Ultimate, transforming advanced research and computer science curricula.",[721],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1750099203/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%2820%29_2bJGC5ZP3WheoqzlLT05C5_1750099203484.png","2025-12-10",[609,20,712],"Leading academic institutions face a critical challenge: how to provide thousands of students and researchers with industry-standard, **full-featured DevSecOps tools** without compromising institutional control. Many start with basic version control, but the modern curriculum demands integrated capabilities for planning, security, and advanced CI/CD.\n\nThe **GitLab for Education program** is designed to solve this by providing access to **GitLab Ultimate** for qualifying institutions, allowing them to scale their operations and elevate their academic offerings. \n\nThis article showcases a powerful success story from the **Centre de Recherche en Informatique de Lens (CRIL)**, a joint laboratory of **Artois University** and CNRS in France. After years of relying solely on GitLab Community Edition (CE), the university's move to GitLab Ultimate through the GitLab for Education program immediately unlocked advanced capabilities, transforming their teaching, research, and contribution workflows virtually overnight. This story demonstrates why GitLab Ultimate is essential for institutions seeking to deliver advanced computer science and research curricula.\n\n## GitLab Ultimate unlocked: Managing scale and driving academic value\n\n**Artois University's** self-managed GitLab instance is a large-scale operation, supporting nearly **3,000 users** across approximately **19,000 projects**, primarily serving computer science students and researchers. While GitLab Community Edition was robust, the upgrade to GitLab Ultimate provided the sophisticated tooling necessary for managing this scale and facilitating advanced university-level work.\n\n***\"We can see the difference,\" says Daniel Le Berre, head of research at CRIL and the instance maintainer. \"It's a completely different product. Each week reveals new features that directly enhance our productivity and teaching.\"***\n\nThe institution joined the GitLab for Education program specifically because it covers both **instructional and non-commercial research use cases** and offers full access to Ultimate's features, removing significant cost barriers.\n\n### Key GitLab Ultimate benefits for students and researchers\n\n* **Advanced project management at scale:** Master's students now benefit from **GitLab Ultimate's project planning features**. This enables them to structure, track, and manage complex, long-term research projects using professional methodologies like portfolio management and advanced issue tracking that seamlessly roll up across their thousands of projects.\n\n* **Enhanced visibility:** Features like improved dashboards and code previews directly in Markdown files dramatically streamline tracking and documentation review, reducing administrative friction for both instructors and students managing large project loads.\n\n## Comprehensive curriculum: From concepts to continuous delivery\n\nGitLab Ultimate is deeply integrated into the computer science curriculum, moving students beyond simple `git` commands to practical **DevSecOps implementation**.\n\n* **Git fundamentals:** Students begin by visualizing concepts using open-source tools to master Git concepts.\n\n* **Full CI/CD implementation:** Students use GitLab CI for rigorous **Test-Driven Development (TDD)** in their software projects. They learn to build, test, and perform quality assurance using unit and integration testing pipelines—core competency made seamless by the integrated platform.\n\n* **DevSecOps for research and documentation:** The university teaches students that DevSecOps principles are vital for all collaborative work. Inspired by earlier work in Delft, students manage and produce critical research documentation (PDFs from Markdown files) using GitLab, incorporating quality checks like linters and spell checks directly in the CI pipeline. This ensures high-quality, reproducible research output.\n\n* **Future-proofing security skills:** The GitLab Ultimate platform immediately positions the institution to incorporate advanced DevSecOps features like SAST and DAST scanning as their research and development code projects grow, ensuring students are prepared for industry security standards.\n\n## Accelerating open source contributions with GitLab Duo\n\nAccess to the full GitLab platform, including our AI capabilities, has empowered students to make impactful contributions to the wider open source community faster than ever before.\n\nTwo Master's students recently completed direct contributions to the GitLab product, adding the **ORCID identifier** into user profiles. Working on GitLab.com, they leveraged **GitLab Duo's AI chat and code suggestions** to navigate the codebase efficiently.\n\n***\"This would not have been possible without GitLab Duo,\" Daniel Le Berre notes. \"The AI features helped students, who might have lacked deep codebase knowledge, deliver meaningful contributions in just two weeks.\"***\n\nThis demonstrates how providing students with cutting-edge tools **accelerates their learning and impact**, allowing them to translate classroom knowledge into real-world contributions immediately.\n\n## Empowering open research and institutional control\n\nThe stability of the self-managed instance at Artois University is key to its success. This model guarantees **institutional control and stability** — a critical factor for long-term research preservation.\n\nThe institution's expertise in this area was recently highlighted in a major 2024 study led by CRIL, titled: \"[Higher Education and Research Forges in France - Definition, uses, limitations encountered and needs analysis](https://hal.science/hal-04208924v4)\" ([Project on GitLab](https://gitlab.in2p3.fr/coso-college-codes-sources-et-logiciels/forges-esr-en)). The research found that the vast majority of public forges in French Higher Education and Research relied on **GitLab**. This finding underscores the consensus among academic leaders that self-hosted solutions are essential for **data control and longevity**, especially when compared to relying on external, commercial forges.\n\n## Unlock GitLab Ultimate for your institution today\n\nThe success story of **Artois University's CRIL** proves the transformative power of the GitLab for Education program. By providing **free access to GitLab Ultimate**, we enable large-scale institutions to:\n\n1.  **Deliver a modern, integrated DevSecOps curriculum.**\n\n2.  **Support advanced, collaborative research projects with Ultimate planning features.**\n\n3.  **Empower students to make AI-assisted open source contributions.**\n\n4.  **Maintain institutional control and data longevity.**\n\nIf your academic institution is ready to equip its students and researchers with the complete DevSecOps platform and its most advanced features, we invite you to join the program.\n\nThe program provides **free access to GitLab Ultimate** for qualifying instructional and non-commercial research use cases.\n\n**Apply now [online](https://about.gitlab.com/solutions/education/join/).**\n",{"slug":738,"featured":12,"template":13},"artois-university-elevates-curriculum-with-gitlab-ultimate-for-education",{"promotions":740},[741,755,766],{"id":742,"categories":743,"header":745,"text":746,"button":747,"image":752},"ai-modernization",[744],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":748,"config":749},"Get your AI maturity score",{"href":750,"dataGaName":751,"dataGaLocation":240},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":753},{"src":754},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":756,"categories":757,"header":758,"text":746,"button":759,"image":763},"devops-modernization",[712,555],"Are you just managing tools or shipping innovation?",{"text":760,"config":761},"Get your DevOps maturity score",{"href":762,"dataGaName":751,"dataGaLocation":240},"/assessments/devops-modernization-assessment/",{"config":764},{"src":765},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":767,"categories":768,"header":770,"text":746,"button":771,"image":775},"security-modernization",[769],"security","Are you trading speed for security?",{"text":772,"config":773},"Get your security maturity score",{"href":774,"dataGaName":751,"dataGaLocation":240},"/assessments/security-modernization-assessment/",{"config":776},{"src":777},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":779,"blurb":780,"button":781,"secondaryButton":786},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":782,"config":783},"Get your free trial",{"href":784,"dataGaName":47,"dataGaLocation":785},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":491,"config":787},{"href":51,"dataGaName":52,"dataGaLocation":785},1773350825367]