[{"data":1,"prerenderedAt":788},["ShallowReactive",2],{"/en-us/blog/getting-started-with-gitlab-understanding-ci-cd":3,"navigation-en-us":43,"banner-en-us":442,"footer-en-us":452,"blog-post-authors-en-us-GitLab":692,"blog-related-posts-en-us-getting-started-with-gitlab-understanding-ci-cd":706,"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":28,"isFeatured":12,"meta":29,"navigation":12,"path":30,"publishedDate":20,"seo":31,"stem":36,"tagSlugs":37,"__hash__":42},"blogPosts/en-us/blog/getting-started-with-gitlab-understanding-ci-cd.yml","Getting Started With Gitlab Understanding Ci Cd",[7],"gitlab",null,"product",{"slug":11,"featured":12,"template":13},"getting-started-with-gitlab-understanding-ci-cd",true,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"Getting started with GitLab: Understanding CI/CD","Learn the basics of continuous integration/continuous delivery in this beginner's guide, including what CI/CD components are and how to create them.",[18],"GitLab","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659525/Blog/Hero%20Images/blog-getting-started-with-gitlab-banner-0497-option4-fy25.png","2025-04-25","*Welcome to our \"Getting started with GitLab\" series, where we help newcomers get familiar with the GitLab DevSecOps platform.*\n\nImagine a workflow where every code change is automatically built, tested, and deployed to your users. That's the power of [Continuous Integration/Continuous Delivery (CI/CD)](https://about.gitlab.com/topics/ci-cd/)! CI/CD helps you catch bugs early, ensures code quality, and delivers software faster and more frequently.\n\n### What is CI/CD?\n\n* **Continuous Integration** is a development practice where developers integrate code changes into a shared repository frequently, preferably several times a day. Each integration is then verified by an automated build and test process, allowing teams to detect problems early.  \n* **Continuous Delivery** extends CI by automating the release pipeline, ensuring that your code is *always* in a deployable state. You can deploy your application to various environments (e.g., staging, production) with a single click or automatically.  \n* **Continuous Deployment** takes it a step further by automatically deploying *every successful build* to production. This requires a high degree of confidence in your automated tests and deployment process.\n\n### Why GitLab CI/CD?\n\nGitLab CI/CD is a powerful, integrated system that comes built-in with GitLab. It offers a seamless experience for automating your entire software development lifecycle. With GitLab CI/CD, you can:\n\n* **Automate everything:** Build, test, and deploy your applications with ease.  \n* **Catch bugs early:** Detect and fix errors before they reach production.  \n* **Get faster feedback:** Receive immediate feedback on your code changes.  \n* **Improve collaboration:** Work together more effectively with automated workflows.  \n* **Accelerate delivery:** Release software faster and more frequently.  \n* **Reduce risk:** Minimize deployment errors and rollbacks.\n\n### The elements of GitLab CI/CD\n\n* `.gitlab-ci.yml`**:** This [YAML file](https://docs.gitlab.com/ee/ci/yaml/), located in your project's root directory, defines your CI/CD pipeline, including stages, jobs, and runners.  \n* [**GitLab Runner**](https://docs.gitlab.com/runner/)**:** This agent executes your CI/CD jobs on your infrastructure (e.g. physical machines, virtual machines, Docker containers, or Kubernetes clusters).  \n* [**Stages**](https://docs.gitlab.com/ee/ci/yaml/#stages)**:** Stages define the order of execution for your jobs (e.g. build, test, and deploy).  \n* [**Jobs**](https://docs.gitlab.com/ee/ci/yaml/#job-keywords)**:** Jobs are individual units of work within a stage (e.g. compile code, run tests, and deploy to staging).\n\n### Setting up GitLab CI\n\nGetting started with GitLab CI is simple. Here's a basic example of a `.gitlab-ci.yml` file:\n\n```yaml\nstages:\n  - build\n  - test\n  - deploy\n\nbuild_job:\n  stage: build\n  script:\n    - echo \"Building the application...\"\n\ntest_job:\n  stage: test\n  script:\n    - echo \"Running tests...\"\n\ndeploy_job:\n  stage: deploy\n  script:\n    - echo \"Deploying to production...\"\n  environment:\n    name: production\n\n```\n\nThis configuration defines three stages: \"build,\" \"test,\" and \"deploy.\" Each stage contains a job that executes a simple script.\n\n### CI/CD configuration examples\n\nLet's explore some more realistic examples.\n\n**Building and deploying a Node.js application**\n\nThe pipeline definition below outlines using npm to build and test a Node.js application and [dpl](https://docs.gitlab.com/ci/examples/deployment/) to deploy the application to Heroku. The deploy stage of the pipeline makes use of [GitLab CI/CD variables](https://docs.gitlab.com/ci/variables/), which allow developers to store sensitive information (e.g. credentials) and securely use them in CI/CD processes. In this example, an API key to deploy to Heroku is stored under the variable key name `$HEROKU_API_KEY` used by the dpl tool.\n\n```yaml\nstages:\n  - build\n  - test\n  - deploy\n\nbuild:\n  stage: build\n  image: node:latest\n  script:\n    - npm install\n    - npm run build\n\ntest:\n  stage: test\n  image: node:latest\n  script:\n    - npm run test\n\ndeploy:\n  stage: deploy\n  image: ruby:latest\n  script:\n    - gem install dpl\n    - dpl --provider=heroku --app=$HEROKU_APP_NAME --api-key=$HEROKU_API_KEY\n\n```\n\n**Deploying to different environments (staging and production)**\n\nGitLab also offers the idea of [Environments](https://docs.gitlab.com/ci/environments/) with CI/CD. This feature allows users to track deployments from CI/CD to infrastructure targets. In the example below, the pipeline adds stages with an environment property for a staging and production environment. While the deploy_staging stage will always run its script, the deploy_production stage requires manual approval to prevent accidental deployment to production.  \n\n```yaml\nstages:\n  - build\n  - test\n  - deploy_staging\n  - deploy_production\n\nbuild:\n  # ...\n\ntest:\n  # ...\n\ndeploy_staging:\n  stage: deploy_staging\n  script:\n    - echo \"Deploying to staging...\"\n  environment:\n    name: staging\n\ndeploy_production:\n  stage: deploy_production\n  script:\n    - echo \"Deploying to production...\"\n  environment:\n    name: production\n  when: manual  # Requires manual approval\n\n```\n\n### GitLab Auto DevOps\n\n[GitLab Auto DevOps](https://docs.gitlab.com/ee/topics/autodevops/) simplifies CI/CD by providing a pre-defined configuration that automatically builds, tests, and deploys your applications. It leverages best practices and industry standards to streamline your workflow.\n\nTo enable Auto DevOps:\n\n1. Go to your project's **Settings > CI/CD > General pipelines**.  \n2. Enable the **Auto DevOps** option.\n\nAuto DevOps automatically detects your project's language and framework and configures the necessary build, test, and deployment stages. You don’t even need to create a `.gitlab-ci.yml` file.\n\n### CI/CD Catalog\n\nThe [CI/CD Catalog](https://about.gitlab.com/blog/faq-gitlab-ci-cd-catalog/) is a list of projects with published [CI/CD components](https://docs.gitlab.com/ee/ci/components/) you can use to extend your CI/CD workflow. Anyone can create a component project and add it to the CI/CD Catalog or contribute to an existing project to improve the available components. You can find published components in the [CI/CD Catalog](https://gitlab.com/explore/catalog) on GitLab.com.\n\n> [Tutorial: How to set up your first GitLab CI/CD component](https://about.gitlab.com/blog/tutorial-how-to-set-up-your-first-gitlab-ci-cd-component/)\n\n### CI templates\n\nYou can also create your own [CI templates](https://docs.gitlab.com/ee/ci/examples/) to standardize and reuse CI/CD configurations across multiple projects. This promotes consistency and reduces duplication.\n\nTo create a CI template:\n\n1. Create a `.gitlab-ci.yml` file in a dedicated project or repository.  \n2. Define your CI/CD configuration in the template.  \n3. In your project's `.gitlab-ci.yml` file, use the `include` keyword to include the template.\n\n## Take your development to the next level\n\nGitLab CI/CD is a powerful tool that can transform your development workflow. By understanding the concepts of CI/CD, configuring your pipelines, and leveraging features like Auto DevOps, the CI/CD Catalog, and CI templates, you can automate your entire software development lifecycle and deliver high-quality software faster and more efficiently.\n\n> Want to take your learning to the next level? Sign up for [GitLab University courses](https://university.gitlab.com/). Or you can get going right away with a [free trial of GitLab Ultimate](https://about.gitlab.com/free-trial/).\n\n## \"Getting Started with GitLab\" series\n\nCheck out more articles in our \"Getting Started with GitLab\" series:\n\n- [How to manage users](https://about.gitlab.com/blog/getting-started-with-gitlab-how-to-manage-users/)\n- [How to import your projects to GitLab](https://about.gitlab.com/blog/getting-started-with-gitlab-how-to-import-your-projects-to-gitlab/)  \n- [Mastering project management](https://about.gitlab.com/blog/getting-started-with-gitlab-mastering-project-management/)\n- [Automating Agile workflows with the gitlab-triage gem](https://about.gitlab.com/blog/automating-agile-workflows-with-the-gitlab-triage-gem/)\n- [Working with CI/CD variables](https://about.gitlab.com/blog/getting-started-with-gitlab-working-with-ci-cd-variables/)\n",[23,24,25,26,9,27],"CI/CD","CI","CD","DevSecOps 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GitLab metrics and registry features help reduce CI/CD bottlenecks","See how CI/CD Job Performance Metrics and Container Virtual Registry, currently in beta, help platform teams quickly spot slow jobs and simplify multi-registry container pulls.",[712],"Talia Armato-Helle","https://res.cloudinary.com/about-gitlab-com/image/upload/v1771438388/t6sts5qw4z8561gtlxiq.png","Platform and DevOps engineers spend too much time piecing together visibility across fragmented tools and managing infrastructure that should just work.\n\nTwo new GitLab features currently in beta tackle this from different angles but share the same goal: giving practitioners direct control over the CI/CD infrastructure they depend on, without adding another third-party tool. One surfaces job-level performance data right where you monitor pipelines. The other simplifies how you pull container images from multiple registries with built-in caching.\n\nBoth features are open for feedback now. Your input will help shape what ships next.\n\n## CI/CD Job Performance Metrics\n\n* **Available tiers:** GitLab Premium, GitLab Ultimate\n* **Status:** Limited-availability beta on GitLab.com; available on GitLab Self-Managed and GitLab Dedicated when ClickHouse is configured\n\nToday, there’s no simple way to see when a particular job’s duration starts increasing or which jobs are quietly dragging down your pipeline runtimes. Most teams either build custom dashboards or manually dig through logs to answer basic questions like:\n\n* Which jobs are slowest?  \n* Where are failure rates climbing?  \n* Which stage is the real bottleneck?\n\nCI/CD Job Performance Metrics changes that by adding a new job-focused panel to the CI/CD analytics page at the project level.\n\nFor each job in your pipelines, you can see:\n\n* Typical (P50, median) and worst‑case (P95) job duration, so you can quickly view normal versus slowest runs  \n* Failure rate, so you can spot fragile or flaky jobs  \n* Job name and stage, covering the last 30 days by default\n\nThe table is sortable, searchable by job name, and paginated, so platform teams get a single view to answer questions that previously required separate tools or custom reporting.\n\n**Try it now**\n\n* Navigate to your project and select **Analyze \\> CI/CD analytics**.  \n* Look for the CI/CD job performance metrics panel and sort by duration or failure rate to find your slowest or least reliable jobs.\n\n**Documentation**\n\n* [CI/CD analytics – CI/CD job performance metrics](https://docs.gitlab.com/user/analytics/ci_cd_analytics/#cicd-job-performance-metrics)\n\n**What’s coming next**\n\nWe’re working on stage-level grouping, so you can view aggregated metrics across your build, test, and deploy stages, and quickly understand where to focus optimization work.\n\n**Share your feedback:**\n\n* [CI/CD job performance metrics epic](https://gitlab.com/groups/gitlab-org/-/work_items/18548)\n\n## Container Virtual Registry\n\n**Tier:** GitLab Premium, GitLab Ultimate\n**Status:** Beta, API-ready in 18.9\n\nMost organizations pulling container images into CI/CD pipelines rely on multiple registries: Docker Hub, Harbor, Quay, and internal registries, to name a few. Managing authentication, availability, and caching across all of them is operational overhead that slows pipelines down and introduces fragility.\n\nThe Container Virtual Registry lets you create a single GitLab endpoint that pulls from multiple upstream container sources with built-in caching.\n\nInstead of configuring credentials and availability for each registry individually in your pipeline configuration, you can:\n\n* Point your pipelines at one GitLab virtual registry endpoint  \n* Configure multiple upstream registries (Docker Hub, Harbor, Quay, and others using long-lived token authentication)  \n* Let GitLab resolve image pulls automatically, with pull-through caching to reduce bandwidth costs and improve reliability\n\nFor teams evaluating GitLab as a container registry replacement, this closes a critical capability gap. For teams already managing multi-registry container workflows, it centralizes image management into GitLab and cuts down on repeated pulls.\n\n**What the beta supports today**\n\n* Upstream registries using long-lived token authentication: Docker Hub, Harbor, Quay, and other compatible registries  \n* Pull-through caching so commonly used images are served from GitLab after the first pull  \n* API-first configuration, with UI management in progress++\n\nCloud provider registries requiring IAM authentication (such as Amazon Elastic Container Registry, Google Artifact Registry, and Azure Container Registry) are being considered for future iterations.\n\n**Test it today**\n\n* The Container Virtual Registry is API-ready in 18.9.  \n* SaaS (GitLab.com): Request access through your CSM or by commenting on the feedback issue below to have the feature flag enabled for your group.  \n* Self-managed: Enable the feature flag and configure the virtual registry using the API.\n\n**Documentation**\n\n* [Container Virtual Registry API](https://docs.gitlab.com/api/container_virtual_registries/)  \n* [Pull container images from the virtual registry](https://docs.gitlab.com/user/packages/virtual_registry/container/#pull-container-images-from-the-virtual-registry)\n\n\n Watch this walkthrough of the Container Virtual Registry Beta:\n   \n\n  \u003Ciframe src=\"https://player.vimeo.com/video/1167512082?title=0&byline=0&portrait=0&badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"20260223_Container Virtual Registry Beta_V1\">\u003C/iframe>\u003C\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n  \u003Cbr>\u003C/br>\n\n\n\n**Share your feedback:**\n\n* [Container virtual registry feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/589630)\n\n## Help us build what matters\n\nEveryone in the GitLab community is a contributor. We built these betas based on community requests.\n\n* **CI/CD Job Performance Metrics** came from teams who had no easy way to see when build times started trending in the wrong direction, or which jobs were hurting pipeline reliability.  \n* **Container Virtual Registry** came from enterprise customers managing multiple registries and looking to reduce tool sprawl and bandwidth costs while evaluating GitLab as a central registry.\n\nYour feedback shapes what we create next. Try one or both of these betas, and share your experience in the linked feedback issues.\n\nThis is the first in a series of Core DevOps betas we plan to highlight. More are coming throughout the year, and we hope you’ll help us make them as useful as possible.\n","2026-02-25",[23,9,717],"features",{"featured":12,"template":13,"slug":719},"new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks",{"content":721,"config":728},{"title":722,"description":723,"heroImage":724,"date":715,"category":9,"tags":725},"GitLab Patch Release: 18.9.1, 18.8.5, 18.7.5","Learn more about this patch release for GitLab Community Edition and Enterprise Edition.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749661926/Blog/Hero%20Images/security-patch-blog-image-r2-0506-700x400-fy25_2x.jpg",[726,727],"patch releases","security releases",{"featured":32,"template":13,"externalUrl":729},"https://about.gitlab.com/releases/2026/02/25/patch-release-gitlab-18-9-1-released/",{"content":731,"config":737},{"title":732,"description":733,"heroImage":713,"date":734,"tags":735,"category":9},"GitLab 18.9 released","Read about GitLab Duo Agent Platform self-hosted models now available for cloud licenses, vulnerability resolution with GitLab Duo Agent Platform, and more.","2026-02-19",[9,736],"releases",{"featured":32,"template":13,"externalUrl":738},"https://about.gitlab.com/releases/2026/02/19/gitlab-18-9-released/",{"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":246},"/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",[9,560],"Are you just managing tools or shipping innovation?",{"text":760,"config":761},"Get your DevOps maturity score",{"href":762,"dataGaName":751,"dataGaLocation":246},"/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":246},"/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":54,"dataGaLocation":785},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":498,"config":787},{"href":58,"dataGaName":59,"dataGaLocation":785},1772652066923]