[{"data":1,"prerenderedAt":817},["ShallowReactive",2],{"/en-us/blog/how-to-harden-your-self-managed-gitlab-instance":3,"navigation-en-us":40,"banner-en-us":451,"footer-en-us":461,"blog-post-authors-en-us-Ayoub Fandi":701,"blog-related-posts-en-us-how-to-harden-your-self-managed-gitlab-instance":715,"blog-promotions-en-us":755,"next-steps-en-us":807},{"id":4,"title":5,"authorSlugs":6,"authors":8,"body":10,"category":11,"categorySlug":11,"config":12,"content":16,"date":20,"description":17,"extension":25,"externalUrl":26,"featured":14,"heroImage":19,"isFeatured":14,"meta":27,"navigation":28,"path":29,"publishedDate":20,"rawbody":30,"seo":31,"slug":13,"stem":35,"tagSlugs":36,"tags":38,"template":15,"updatedDate":26,"__hash__":39},"blogPosts/en-us/blog/how-to-harden-your-self-managed-gitlab-instance.yml","How to harden your self-managed GitLab instance",[7],"ayoub-fandi",[9],"Ayoub Fandi","\n\"You are as secure as your weakest link\" is a well-understood phrase. If attackers find their way in, they will exploit any gaps in your security configurations. Hardening — the process of turning off unused features and making adjustments to settings that have security implications — is critical to limit your attack surface and reduce potential attack vectors.\n\nHardening ensures that your application (in this case GitLab) is as secure as it can be. The goal is simple: minimize risk while still preserving enough functionality for users to remain as productive as possible.\n\n## Guiding principles\nThese principles should guide the way you approach hardening. The security activities in the checklist below will tie back to one or another of these principles.\n\n### Layered security\nThe idea behind this is simple. If there are two ways to implement security, both ways should be implemented instead of just one. You can try to combine as many methods as possible.\n\nFor instance, if you are trying to secure access to your service, you could combine a complex password with hardware tokens and multifactor authentication. This approach is also called defense-in-depth.\n\n### No security through obscurity\nThe idea of hiding things works in many cases, but not so in the information security world. The premise that if something is hidden then it is more secure isn’t a viable approach today.\n\nCurrent scanning capabilities available to attackers shatter through obscurity. It is very easy for anyone to scan for open ports on a system. If you’ve swapped the SSH port TCP 22 to a different port, it would be picked up by a network scanning tool such as Nmap.\n\nAs GitLab is committed to transparency and open source, our approach is at odds with security through obscurity. The goal of security is to remove any security through obscurity. Our documentation is available to all and security best practices are clearly labeled and detailed.\n\n### Reducing the attack surface\nGitLab comprises numerous components, services, and dependencies. A critical aspect of security is: The more components you have, the more entryways attackers have.\n\nA good rule to keep in mind is to always disable services that you do not need to run the application. If there are features that aren’t used, disabling the related services will reduce the potential attack surface and make you more secure.\n\n## 7 steps to secure your self-managed instance\nLet’s go through seven easy steps to quickly harden your self-managed instance. These quick wins are great first steps towards securing your installation. Of course, refer to the [documentation](https://docs.gitlab.com/security/) for additional details and further guidance on each section.\n\n### 1. Enable multi-factor authentication\n**Admin > Settings > General > Sign-in restrictions**\n\nEnsure that the checkbox next to _Two-factor authentication_ (2FA) is **checked**. The default setting for _Two-factor grace period_ is 48 hours. Adjust it to a lower value, such as **8 hours**.\n\nEnsure the checkbox next to _Enable admin mode_ is **checked** so that _Admin Mode_ is **active**. Users with Admin access will have to use additional authentication to perform administrative tasks. With 2FA enabled, this will require additional 2FA authentication by the user.\n\nFor more detailed information, refer to the documentation on [sign-in restrictions](https://docs.gitlab.com/administration/settings/sign_in_restrictions/).\n\n### 2. Enforce additional sign-up checks\n**Admin > Settings > General > Sign-up restrictions**\n\nNext to _Sign-up enabled_ ensure the checkbox is **unchecked**.\n\nUnder _Email confirmation settings_ ensure that **Hard** is selected. This will require the user to verify their email address during the sign-up process before their account is allowed access.\n\nThe _Minimum password length (number of characters)_ default setting of 12 characters is fine if additional authentication techniques are enforced. Options available for password complexity include _Require numbers_, _Require uppercase letters_, _Require lowercase letters_, and _Require symbols_. Check these boxes depending on your internal password standard (also check out [NIST SP 800-63B](https://pages.nist.gov/800-63-3/sp800-63b.html)).\n\nIf all users' email addresses are under a single domain (e.g., example.com), consider **adding it** to the _Allowed domains for sign-ups_. This will prevent those with email addresses associated with other domains from signing up.\nFor more detailed information, refer to the documentation on [sign-up restrictions](https://docs.gitlab.com/administration/settings/sign_up_restrictions/).\n\n### 3. Limit public visibility of your groups and projects\n**Admin > Settings > General > Visibility and access control**\n\nThe _Default project visibility_ and _Default group visibility_ for any newly created project or group should be set to **Private** by default. Only users that are granted specific access to a project or group will be able to access these resources. This can be adjusted later if necessary or when creating a new project or group. This ensures the default mode is secure to prevent accidental disclosure of information.\n\nFor more details on Visibility and access control [refer to the documentation](https://docs.gitlab.com/administration/settings/visibility_and_access_controls/).\n\n### 4. Harden your SSH settings\n**Admin > Settings > General > Visibility and access control**\n\nTypically, under _Enabled Git access protocols_ it will be set to _Both SSH and HTTP(S)_. If one of the Git protocols is not in use by your users, set it to **either** _Only SSH_ or _Only HTTP(S)_ accordingly. This will reduce the attack surface by limiting possibilities of compromise through an unused protocol.\nFor SSH key types, the most recommended algorithms to use are, in order:\n1. ED25519\n1. RSA\n1. ECDSA\n\nWhen configuring default types and lengths for SSH keys, keep in mind the list above.\n\nSpecific details on SSH settings can be found [here](https://docs.gitlab.com/security/ssh_keys_restrictions/) and [here](https://docs.gitlab.com/administration/settings/visibility_and_access_controls/#configure-enabled-git-access-protocols) for Git Access protocols.\n\n### 5. Review the account and limit settings\n**Admin > Settings > General > Account and limit settings**\n\nThis section allows you to limit the size of attachments, pushes, exports, imports, or repositories. As the specific size (in MB) will be tailored to your needs, review these settings and **set limits** in line with your internal policies.\n**Session duration for users** (in minutes) and **lifetime of SSH keys and all access tokens** (in days) can also be configured. Ensure the durations are in accordance with your internal policies and security best practices.\n\nReview the [documentation](https://docs.gitlab.com/administration/settings/account_and_limit_settings/) and apply changes that enforce your own policies.\n\n### 6. Secure your CI secrets\n**Admin > Settings > CI**\n\nPasswords, tokens, keys, and other secrets that require any level of protection should never be stored in plaintext. Instead, some type of **encrypted container technology (Secrets Manager)** should be implemented, such as GCP's Secret Manager, AWS Key Management Service (KMS), or HashiCorp Vault. For self-managed and standalone instances, HashiCorp Vault is **recommended**, and many GitLab features can take advantage of Vault and are well described in the [documentation](https://docs.gitlab.com/search/?query=vault).\n\nFor external communications, ensure any connectivity with external hosts in your CI/CD process is using encrypted channels. The use of TLS 1.2 or above is highly recommended and where possible mutual TLS will help things considerably.\nFor details on the use of external secrets for your CI/CD pipeline, check [here](https://docs.gitlab.com/ci/secrets/) for actual examples and configuration guides.\n\n### 7. Protect your pipelines for all branches\n**Admin > Settings > CI**\n\nPipelines are a part of jobs that execute steps in stages to automate tasks on behalf of the users of a project. They are a central component of CI/CD.\nBy default, only the default branch gets a protected pipeline. Configure your other branches with the same level of security by following [these simple steps](https://docs.gitlab.com/user/project/protected_branches/#configure-a-protected-branch). This considerably hardens your pipelines.\n\nThe security features enabled by default on protected pipelines are listed in our [documentation](https://docs.gitlab.com/ci/pipelines/#pipeline-security-on-protected-branches).\n\nOnce the pipeline has run, the code will be deployed in an environment. To limit interactions with that environment and to protect it from unauthorized users, you can set your key environments as protected.\n\nPrerequisites and full process are available in the [documentation](https://docs.gitlab.com/ci/environments/protected_environments/).\n\n### Learn more\nThis is a high-level overview of the different areas to focus on when hardening your self-managed GitLab instance. A blog post can’t include every single security recommendation. That’s why we maintain detailed [security documentation](https://docs.gitlab.com/security/) on how to secure your installation.\n\nPlease refer to the documentation as the single source of truth on hardening. Hopefully, with the help of the action items highlighted above, you’ll harden your self-managed GitLab instance while preserving agility and speed.\n\nIf you want to learn more about how we do security **at GitLab**, review the [security section](https://handbook.gitlab.com/handbook/security/) of the handbook.\n","engineering",{"slug":13,"featured":14,"template":15},"how-to-harden-your-self-managed-gitlab-instance",false,"BlogPost",{"title":5,"description":17,"authors":18,"heroImage":19,"date":20,"body":10,"category":11,"tags":21},"Learn seven easy steps to ensure your self-managed GitLab instance is as secure as possible.",[9],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664923/Blog/Hero%20Images/security-checklist.png","2023-05-23",[22,23,24],"security","tutorial","DevSecOps","yml",null,{},true,"/en-us/blog/how-to-harden-your-self-managed-gitlab-instance","seo:\n  title: How to harden your self-managed GitLab instance\n  description: >-\n    Learn seven easy steps to ensure your self-managed GitLab instance is as\n    secure as possible.\n  ogTitle: How to harden your self-managed GitLab instance\n  ogDescription: >-\n    Learn seven easy steps to ensure your self-managed GitLab instance is as\n    secure as possible.\n  noIndex: false\n  ogImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664923/Blog/Hero%20Images/security-checklist.png\n  ogUrl: >-\n    https://about.gitlab.com/blog/how-to-harden-your-self-managed-gitlab-instance\n  ogSiteName: https://about.gitlab.com\n  ogType: article\n  canonicalUrls: >-\n    https://about.gitlab.com/blog/how-to-harden-your-self-managed-gitlab-instance\ncontent:\n  title: How to harden your self-managed GitLab instance\n  description: >-\n    Learn seven easy steps to ensure your self-managed GitLab instance is as\n    secure as possible.\n  authors:\n    - Ayoub Fandi\n  heroImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664923/Blog/Hero%20Images/security-checklist.png\n  date: '2023-05-23'\n  body: >\n\n    \"You are as secure as your weakest link\" is a well-understood phrase. If\n    attackers find their way in, they will exploit any gaps in your security\n    configurations. Hardening — the process of turning off unused features and\n    making adjustments to settings that have security implications — is critical\n    to limit your attack surface and reduce potential attack vectors.\n\n\n    Hardening ensures that your application (in this case GitLab) is as secure\n    as it can be. The goal is simple: minimize risk while still preserving\n    enough functionality for users to remain as productive as possible.\n\n\n    ## Guiding principles\n\n    These principles should guide the way you approach hardening. The security\n    activities in the checklist below will tie back to one or another of these\n    principles.\n\n\n    ### Layered security\n\n    The idea behind this is simple. If there are two ways to implement security,\n    both ways should be implemented instead of just one. You can try to combine\n    as many methods as possible.\n\n\n    For instance, if you are trying to secure access to your service, you could\n    combine a complex password with hardware tokens and multifactor\n    authentication. This approach is also called defense-in-depth.\n\n\n    ### No security through obscurity\n\n    The idea of hiding things works in many cases, but not so in the information\n    security world. The premise that if something is hidden then it is more\n    secure isn’t a viable approach today.\n\n\n    Current scanning capabilities available to attackers shatter through\n    obscurity. It is very easy for anyone to scan for open ports on a system. If\n    you’ve swapped the SSH port TCP 22 to a different port, it would be picked\n    up by a network scanning tool such as Nmap.\n\n\n    As GitLab is committed to transparency and open source, our approach is at\n    odds with security through obscurity. The goal of security is to remove any\n    security through obscurity. Our documentation is available to all and\n    security best practices are clearly labeled and detailed.\n\n\n    ### Reducing the attack surface\n\n    GitLab comprises numerous components, services, and dependencies. A critical\n    aspect of security is: The more components you have, the more entryways\n    attackers have.\n\n\n    A good rule to keep in mind is to always disable services that you do not\n    need to run the application. If there are features that aren’t used,\n    disabling the related services will reduce the potential attack surface and\n    make you more secure.\n\n\n    ## 7 steps to secure your self-managed instance\n\n    Let’s go through seven easy steps to quickly harden your self-managed\n    instance. These quick wins are great first steps towards securing your\n    installation. Of course, refer to the\n    [documentation](https://docs.gitlab.com/security/) for additional details\n    and further guidance on each section.\n\n\n    ### 1. Enable multi-factor authentication\n\n    **Admin > Settings > General > Sign-in restrictions**\n\n\n    Ensure that the checkbox next to _Two-factor authentication_ (2FA) is\n    **checked**. The default setting for _Two-factor grace period_ is 48 hours.\n    Adjust it to a lower value, such as **8 hours**.\n\n\n    Ensure the checkbox next to _Enable admin mode_ is **checked** so that\n    _Admin Mode_ is **active**. Users with Admin access will have to use\n    additional authentication to perform administrative tasks. With 2FA enabled,\n    this will require additional 2FA authentication by the user.\n\n\n    For more detailed information, refer to the documentation on [sign-in\n    restrictions](https://docs.gitlab.com/administration/settings/sign_in_restrictions/).\n\n\n    ### 2. Enforce additional sign-up checks\n\n    **Admin > Settings > General > Sign-up restrictions**\n\n\n    Next to _Sign-up enabled_ ensure the checkbox is **unchecked**.\n\n\n    Under _Email confirmation settings_ ensure that **Hard** is selected. This\n    will require the user to verify their email address during the sign-up\n    process before their account is allowed access.\n\n\n    The _Minimum password length (number of characters)_ default setting of 12\n    characters is fine if additional authentication techniques are enforced.\n    Options available for password complexity include _Require numbers_,\n    _Require uppercase letters_, _Require lowercase letters_, and _Require\n    symbols_. Check these boxes depending on your internal password standard\n    (also check out [NIST SP\n    800-63B](https://pages.nist.gov/800-63-3/sp800-63b.html)).\n\n\n    If all users' email addresses are under a single domain (e.g., example.com),\n    consider **adding it** to the _Allowed domains for sign-ups_. This will\n    prevent those with email addresses associated with other domains from\n    signing up.\n\n    For more detailed information, refer to the documentation on [sign-up\n    restrictions](https://docs.gitlab.com/administration/settings/sign_up_restrictions/).\n\n\n    ### 3. Limit public visibility of your groups and projects\n\n    **Admin > Settings > General > Visibility and access control**\n\n\n    The _Default project visibility_ and _Default group visibility_ for any\n    newly created project or group should be set to **Private** by default. Only\n    users that are granted specific access to a project or group will be able to\n    access these resources. This can be adjusted later if necessary or when\n    creating a new project or group. This ensures the default mode is secure to\n    prevent accidental disclosure of information.\n\n\n    For more details on Visibility and access control [refer to the\n    documentation](https://docs.gitlab.com/administration/settings/visibility_and_access_controls/).\n\n\n    ### 4. Harden your SSH settings\n\n    **Admin > Settings > General > Visibility and access control**\n\n\n    Typically, under _Enabled Git access protocols_ it will be set to _Both SSH\n    and HTTP(S)_. If one of the Git protocols is not in use by your users, set\n    it to **either** _Only SSH_ or _Only HTTP(S)_ accordingly. This will reduce\n    the attack surface by limiting possibilities of compromise through an unused\n    protocol.\n\n    For SSH key types, the most recommended algorithms to use are, in order:\n\n    1. ED25519\n\n    1. RSA\n\n    1. ECDSA\n\n\n    When configuring default types and lengths for SSH keys, keep in mind the\n    list above.\n\n\n    Specific details on SSH settings can be found\n    [here](https://docs.gitlab.com/security/ssh_keys_restrictions/) and\n    [here](https://docs.gitlab.com/administration/settings/visibility_and_access_controls/#configure-enabled-git-access-protocols)\n    for Git Access protocols.\n\n\n    ### 5. Review the account and limit settings\n\n    **Admin > Settings > General > Account and limit settings**\n\n\n    This section allows you to limit the size of attachments, pushes, exports,\n    imports, or repositories. As the specific size (in MB) will be tailored to\n    your needs, review these settings and **set limits** in line with your\n    internal policies.\n\n    **Session duration for users** (in minutes) and **lifetime of SSH keys and\n    all access tokens** (in days) can also be configured. Ensure the durations\n    are in accordance with your internal policies and security best practices.\n\n\n    Review the\n    [documentation](https://docs.gitlab.com/administration/settings/account_and_limit_settings/)\n    and apply changes that enforce your own policies.\n\n\n    ### 6. Secure your CI secrets\n\n    **Admin > Settings > CI**\n\n\n    Passwords, tokens, keys, and other secrets that require any level of\n    protection should never be stored in plaintext. Instead, some type of\n    **encrypted container technology (Secrets Manager)** should be implemented,\n    such as GCP's Secret Manager, AWS Key Management Service (KMS), or HashiCorp\n    Vault. For self-managed and standalone instances, HashiCorp Vault is\n    **recommended**, and many GitLab features can take advantage of Vault and\n    are well described in the\n    [documentation](https://docs.gitlab.com/search/?query=vault).\n\n\n    For external communications, ensure any connectivity with external hosts in\n    your CI/CD process is using encrypted channels. The use of TLS 1.2 or above\n    is highly recommended and where possible mutual TLS will help things\n    considerably.\n\n    For details on the use of external secrets for your CI/CD pipeline, check\n    [here](https://docs.gitlab.com/ci/secrets/) for actual examples and\n    configuration guides.\n\n\n    ### 7. Protect your pipelines for all branches\n\n    **Admin > Settings > CI**\n\n\n    Pipelines are a part of jobs that execute steps in stages to automate tasks\n    on behalf of the users of a project. They are a central component of CI/CD.\n\n    By default, only the default branch gets a protected pipeline. Configure\n    your other branches with the same level of security by following [these\n    simple\n    steps](https://docs.gitlab.com/user/project/protected_branches/#configure-a-protected-branch).\n    This considerably hardens your pipelines.\n\n\n    The security features enabled by default on protected pipelines are listed\n    in our\n    [documentation](https://docs.gitlab.com/ci/pipelines/#pipeline-security-on-protected-branches).\n\n\n    Once the pipeline has run, the code will be deployed in an environment. To\n    limit interactions with that environment and to protect it from unauthorized\n    users, you can set your key environments as protected.\n\n\n    Prerequisites and full process are available in the\n    [documentation](https://docs.gitlab.com/ci/environments/protected_environments/).\n\n\n    ### Learn more\n\n    This is a high-level overview of the different areas to focus on when\n    hardening your self-managed GitLab instance. A blog post can’t include every\n    single security recommendation. That’s why we maintain detailed [security\n    documentation](https://docs.gitlab.com/security/) on how to secure your\n    installation.\n\n\n    Please refer to the documentation as the single source of truth on\n    hardening. Hopefully, with the help of the action items highlighted above,\n    you’ll harden your self-managed GitLab instance while preserving agility and\n    speed.\n\n\n    If you want to learn more about how we do security **at GitLab**, review the\n    [security section](https://handbook.gitlab.com/handbook/security/) of the\n    handbook.\n  category: engineering\n  tags:\n    - security\n    - tutorial\n    - DevSecOps\nconfig:\n  slug: how-to-harden-your-self-managed-gitlab-instance\n  featured: false\n  template: BlogPost\n",{"title":5,"description":17,"ogTitle":5,"ogDescription":17,"noIndex":14,"ogImage":19,"ogUrl":32,"ogSiteName":33,"ogType":34,"canonicalUrls":32},"https://about.gitlab.com/blog/how-to-harden-your-self-managed-gitlab-instance","https://about.gitlab.com","article","en-us/blog/how-to-harden-your-self-managed-gitlab-instance",[22,23,37],"devsecops",[22,23,24],"lCLMMexwEYLTESAhogpG5YyL3XC_NOq4nGTkdIQgHhA",{"data":41},{"logo":42,"freeTrial":47,"sales":52,"login":57,"items":62,"search":371,"minimal":402,"duo":421,"switchNav":430,"pricingDeployment":441},{"config":43},{"href":44,"dataGaName":45,"dataGaLocation":46},"/","gitlab logo","header",{"text":48,"config":49},"Get free trial",{"href":50,"dataGaName":51,"dataGaLocation":46},"https://gitlab.com/-/trial_registrations/new?glm_source=about.gitlab.com&glm_content=default-saas-trial/","free trial",{"text":53,"config":54},"Talk to sales",{"href":55,"dataGaName":56,"dataGaLocation":46},"/sales/","sales",{"text":58,"config":59},"Sign in",{"href":60,"dataGaName":61,"dataGaLocation":46},"https://gitlab.com/users/sign_in/","sign in",[63,90,185,190,292,352],{"text":64,"config":65,"cards":67},"Platform",{"dataNavLevelOne":66},"platform",[68,74,82],{"title":64,"description":69,"link":70},"The intelligent orchestration platform for DevSecOps",{"text":71,"config":72},"Explore our Platform",{"href":73,"dataGaName":66,"dataGaLocation":46},"/platform/",{"title":75,"description":76,"link":77},"GitLab Duo Agent Platform","Agentic AI for the entire software lifecycle",{"text":78,"config":79},"Meet GitLab Duo",{"href":80,"dataGaName":81,"dataGaLocation":46},"/gitlab-duo-agent-platform/","gitlab duo agent platform",{"title":83,"description":84,"link":85},"Why GitLab","See the top reasons enterprises choose GitLab",{"text":86,"config":87},"Learn more",{"href":88,"dataGaName":89,"dataGaLocation":46},"/why-gitlab/","why gitlab",{"text":91,"left":28,"config":92,"link":94,"lists":98,"footer":167},"Product",{"dataNavLevelOne":93},"solutions",{"text":95,"config":96},"View all Solutions",{"href":97,"dataGaName":93,"dataGaLocation":46},"/solutions/",[99,123,146],{"title":100,"description":101,"link":102,"items":107},"Automation","CI/CD and automation to accelerate deployment",{"config":103},{"icon":104,"href":105,"dataGaName":106,"dataGaLocation":46},"AutomatedCodeAlt","/solutions/delivery-automation/","automated software delivery",[108,112,115,119],{"text":109,"config":110},"CI/CD",{"href":111,"dataGaLocation":46,"dataGaName":109},"/solutions/continuous-integration/",{"text":75,"config":113},{"href":80,"dataGaLocation":46,"dataGaName":114},"gitlab duo agent platform - product menu",{"text":116,"config":117},"Source Code Management",{"href":118,"dataGaLocation":46,"dataGaName":116},"/solutions/source-code-management/",{"text":120,"config":121},"Automated Software Delivery",{"href":105,"dataGaLocation":46,"dataGaName":122},"Automated software delivery",{"title":124,"description":125,"link":126,"items":131},"Security","Deliver code faster without compromising security",{"config":127},{"href":128,"dataGaName":129,"dataGaLocation":46,"icon":130},"/solutions/application-security-testing/","security and compliance","ShieldCheckLight",[132,136,141],{"text":133,"config":134},"Application Security Testing",{"href":128,"dataGaName":135,"dataGaLocation":46},"Application security testing",{"text":137,"config":138},"Software Supply Chain Security",{"href":139,"dataGaLocation":46,"dataGaName":140},"/solutions/supply-chain/","Software supply chain security",{"text":142,"config":143},"Software Compliance",{"href":144,"dataGaName":145,"dataGaLocation":46},"/solutions/software-compliance/","software compliance",{"title":147,"link":148,"items":153},"Measurement",{"config":149},{"icon":150,"href":151,"dataGaName":152,"dataGaLocation":46},"DigitalTransformation","/solutions/visibility-measurement/","visibility and measurement",[154,158,162],{"text":155,"config":156},"Visibility & Measurement",{"href":151,"dataGaLocation":46,"dataGaName":157},"Visibility and Measurement",{"text":159,"config":160},"Value Stream Management",{"href":161,"dataGaLocation":46,"dataGaName":159},"/solutions/value-stream-management/",{"text":163,"config":164},"Analytics & Insights",{"href":165,"dataGaLocation":46,"dataGaName":166},"/solutions/analytics-and-insights/","Analytics and insights",{"title":168,"items":169},"GitLab for",[170,175,180],{"text":171,"config":172},"Enterprise",{"href":173,"dataGaLocation":46,"dataGaName":174},"/enterprise/","enterprise",{"text":176,"config":177},"Small Business",{"href":178,"dataGaLocation":46,"dataGaName":179},"/small-business/","small business",{"text":181,"config":182},"Public Sector",{"href":183,"dataGaLocation":46,"dataGaName":184},"/solutions/public-sector/","public sector",{"text":186,"config":187},"Pricing",{"href":188,"dataGaName":189,"dataGaLocation":46,"dataNavLevelOne":189},"/pricing/","pricing",{"text":191,"config":192,"link":194,"lists":198,"feature":283},"Resources",{"dataNavLevelOne":193},"resources",{"text":195,"config":196},"View all resources",{"href":197,"dataGaName":193,"dataGaLocation":46},"/resources/",[199,232,255],{"title":200,"items":201},"Getting started",[202,207,212,217,222,227],{"text":203,"config":204},"Install",{"href":205,"dataGaName":206,"dataGaLocation":46},"/install/","install",{"text":208,"config":209},"Quick start guides",{"href":210,"dataGaName":211,"dataGaLocation":46},"/get-started/","quick setup checklists",{"text":213,"config":214},"Learn",{"href":215,"dataGaLocation":46,"dataGaName":216},"https://university.gitlab.com/","learn",{"text":218,"config":219},"Product documentation",{"href":220,"dataGaName":221,"dataGaLocation":46},"https://docs.gitlab.com/","product documentation",{"text":223,"config":224},"Best practice videos",{"href":225,"dataGaName":226,"dataGaLocation":46},"/getting-started-videos/","best practice videos",{"text":228,"config":229},"Integrations",{"href":230,"dataGaName":231,"dataGaLocation":46},"/integrations/","integrations",{"title":233,"items":234},"Discover",[235,240,245,250],{"text":236,"config":237},"Customer success stories",{"href":238,"dataGaName":239,"dataGaLocation":46},"/customers/","customer success stories",{"text":241,"config":242},"Blog",{"href":243,"dataGaName":244,"dataGaLocation":46},"/blog/","blog",{"text":246,"config":247},"The Source",{"href":248,"dataGaName":249,"dataGaLocation":46},"/the-source/","the source",{"text":251,"config":252},"Remote",{"href":253,"dataGaName":254,"dataGaLocation":46},"https://handbook.gitlab.com/handbook/company/culture/all-remote/","remote",{"title":256,"items":257},"Connect",[258,263,268,273,278],{"text":259,"config":260},"GitLab Services",{"href":261,"dataGaName":262,"dataGaLocation":46},"/services/","services",{"text":264,"config":265},"Community",{"href":266,"dataGaName":267,"dataGaLocation":46},"/community/","community",{"text":269,"config":270},"Forum",{"href":271,"dataGaName":272,"dataGaLocation":46},"https://forum.gitlab.com/","forum",{"text":274,"config":275},"Events",{"href":276,"dataGaName":277,"dataGaLocation":46},"/events/","events",{"text":279,"config":280},"Partners",{"href":281,"dataGaName":282,"dataGaLocation":46},"/partners/","partners",{"textColor":284,"title":285,"text":286,"link":287},"#000","What’s new in GitLab","Stay updated with our latest features and improvements.",{"text":288,"config":289},"Read the latest",{"href":290,"dataGaName":291,"dataGaLocation":46},"/releases/whats-new/","whats new",{"text":293,"config":294,"lists":296},"Company",{"dataNavLevelOne":295},"company",[297],{"items":298},[299,304,310,312,317,322,327,332,337,342,347],{"text":300,"config":301},"About",{"href":302,"dataGaName":303,"dataGaLocation":46},"/company/","about",{"text":305,"config":306,"footerGa":309},"Jobs",{"href":307,"dataGaName":308,"dataGaLocation":46},"/jobs/","jobs",{"dataGaName":308},{"text":274,"config":311},{"href":276,"dataGaName":277,"dataGaLocation":46},{"text":313,"config":314},"Leadership",{"href":315,"dataGaName":316,"dataGaLocation":46},"/company/team/e-group/","leadership",{"text":318,"config":319},"Team",{"href":320,"dataGaName":321,"dataGaLocation":46},"/company/team/","team",{"text":323,"config":324},"Handbook",{"href":325,"dataGaName":326,"dataGaLocation":46},"https://handbook.gitlab.com/","handbook",{"text":328,"config":329},"Investor relations",{"href":330,"dataGaName":331,"dataGaLocation":46},"https://ir.gitlab.com/","investor relations",{"text":333,"config":334},"Trust Center",{"href":335,"dataGaName":336,"dataGaLocation":46},"/security/","trust center",{"text":338,"config":339},"AI Transparency Center",{"href":340,"dataGaName":341,"dataGaLocation":46},"/ai-transparency-center/","ai transparency center",{"text":343,"config":344},"Newsletter",{"href":345,"dataGaName":346,"dataGaLocation":46},"/company/contact/#contact-forms","newsletter",{"text":348,"config":349},"Press",{"href":350,"dataGaName":351,"dataGaLocation":46},"/press/","press",{"text":353,"config":354,"lists":355},"Contact us",{"dataNavLevelOne":295},[356],{"items":357},[358,361,366],{"text":53,"config":359},{"href":55,"dataGaName":360,"dataGaLocation":46},"talk to sales",{"text":362,"config":363},"Support portal",{"href":364,"dataGaName":365,"dataGaLocation":46},"https://support.gitlab.com","support portal",{"text":367,"config":368},"Customer portal",{"href":369,"dataGaName":370,"dataGaLocation":46},"https://customers.gitlab.com/customers/sign_in/","customer portal",{"close":372,"login":373,"suggestions":380},"Close",{"text":374,"link":375},"To search repositories and projects, login to",{"text":376,"config":377},"gitlab.com",{"href":60,"dataGaName":378,"dataGaLocation":379},"search login","search",{"text":381,"default":382},"Suggestions",[383,385,389,391,395,399],{"text":75,"config":384},{"href":80,"dataGaName":75,"dataGaLocation":379},{"text":386,"config":387},"Code Suggestions (AI)",{"href":388,"dataGaName":386,"dataGaLocation":379},"/solutions/code-suggestions/",{"text":109,"config":390},{"href":111,"dataGaName":109,"dataGaLocation":379},{"text":392,"config":393},"GitLab on AWS",{"href":394,"dataGaName":392,"dataGaLocation":379},"/partners/technology-partners/aws/",{"text":396,"config":397},"GitLab on Google Cloud",{"href":398,"dataGaName":396,"dataGaLocation":379},"/partners/technology-partners/google-cloud-platform/",{"text":400,"config":401},"Why GitLab?",{"href":88,"dataGaName":400,"dataGaLocation":379},{"freeTrial":403,"mobileIcon":408,"desktopIcon":413,"secondaryButton":416},{"text":404,"config":405},"Start free trial",{"href":406,"dataGaName":51,"dataGaLocation":407},"https://gitlab.com/-/trials/new/","nav",{"altText":409,"config":410},"Gitlab Icon",{"src":411,"dataGaName":412,"dataGaLocation":407},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1758203874/jypbw1jx72aexsoohd7x.svg","gitlab icon",{"altText":409,"config":414},{"src":415,"dataGaName":412,"dataGaLocation":407},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1758203875/gs4c8p8opsgvflgkswz9.svg",{"text":417,"config":418},"Get Started",{"href":419,"dataGaName":420,"dataGaLocation":407},"https://gitlab.com/-/trial_registrations/new?glm_source=about.gitlab.com/get-started/","get started",{"freeTrial":422,"mobileIcon":426,"desktopIcon":428},{"text":423,"config":424},"Learn more about GitLab Duo",{"href":80,"dataGaName":425,"dataGaLocation":407},"gitlab duo",{"altText":409,"config":427},{"src":411,"dataGaName":412,"dataGaLocation":407},{"altText":409,"config":429},{"src":415,"dataGaName":412,"dataGaLocation":407},{"button":431,"mobileIcon":436,"desktopIcon":438},{"text":432,"config":433},"/switch",{"href":434,"dataGaName":435,"dataGaLocation":407},"#contact","switch",{"altText":409,"config":437},{"src":411,"dataGaName":412,"dataGaLocation":407},{"altText":409,"config":439},{"src":440,"dataGaName":412,"dataGaLocation":407},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1773335277/ohhpiuoxoldryzrnhfrh.png",{"freeTrial":442,"mobileIcon":447,"desktopIcon":449},{"text":443,"config":444},"Back to pricing",{"href":188,"dataGaName":445,"dataGaLocation":407,"icon":446},"back to pricing","GoBack",{"altText":409,"config":448},{"src":411,"dataGaName":412,"dataGaLocation":407},{"altText":409,"config":450},{"src":415,"dataGaName":412,"dataGaLocation":407},{"title":452,"button":453,"config":458},"See how agentic AI transforms software delivery",{"text":454,"config":455},"Watch GitLab Transcend now",{"href":456,"dataGaName":457,"dataGaLocation":46},"/events/transcend/virtual/","transcend event",{"layout":459,"icon":460,"disabled":28},"release","AiStar",{"data":462},{"text":463,"source":464,"edit":470,"contribute":475,"config":480,"items":485,"minimal":690},"Git is a trademark of Software Freedom Conservancy and our use of 'GitLab' is under license",{"text":465,"config":466},"View page source",{"href":467,"dataGaName":468,"dataGaLocation":469},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/","page source","footer",{"text":471,"config":472},"Edit this page",{"href":473,"dataGaName":474,"dataGaLocation":469},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/-/blob/main/content/","web ide",{"text":476,"config":477},"Please contribute",{"href":478,"dataGaName":479,"dataGaLocation":469},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/-/blob/main/CONTRIBUTING.md/","please contribute",{"twitter":481,"facebook":482,"youtube":483,"linkedin":484},"https://twitter.com/gitlab","https://www.facebook.com/gitlab","https://www.youtube.com/channel/UCnMGQ8QHMAnVIsI3xJrihhg","https://www.linkedin.com/company/gitlab-com",[486,533,585,629,656],{"title":186,"links":487,"subMenu":502},[488,492,497],{"text":489,"config":490},"View plans",{"href":188,"dataGaName":491,"dataGaLocation":469},"view plans",{"text":493,"config":494},"Why Premium?",{"href":495,"dataGaName":496,"dataGaLocation":469},"/pricing/premium/","why premium",{"text":498,"config":499},"Why Ultimate?",{"href":500,"dataGaName":501,"dataGaLocation":469},"/pricing/ultimate/","why ultimate",[503],{"title":504,"links":505},"Contact Us",[506,509,511,513,518,523,528],{"text":507,"config":508},"Contact sales",{"href":55,"dataGaName":56,"dataGaLocation":469},{"text":362,"config":510},{"href":364,"dataGaName":365,"dataGaLocation":469},{"text":367,"config":512},{"href":369,"dataGaName":370,"dataGaLocation":469},{"text":514,"config":515},"Status",{"href":516,"dataGaName":517,"dataGaLocation":469},"https://status.gitlab.com/","status",{"text":519,"config":520},"Terms of use",{"href":521,"dataGaName":522,"dataGaLocation":469},"/terms/","terms of use",{"text":524,"config":525},"Privacy statement",{"href":526,"dataGaName":527,"dataGaLocation":469},"/privacy/","privacy statement",{"text":529,"config":530},"Cookie preferences",{"dataGaName":531,"dataGaLocation":469,"id":532,"isOneTrustButton":28},"cookie preferences","ot-sdk-btn",{"title":91,"links":534,"subMenu":543},[535,539],{"text":536,"config":537},"DevSecOps platform",{"href":73,"dataGaName":538,"dataGaLocation":469},"devsecops platform",{"text":540,"config":541},"AI-Assisted Development",{"href":80,"dataGaName":542,"dataGaLocation":469},"ai-assisted development",[544],{"title":545,"links":546},"Topics",[547,552,557,562,567,570,575,580],{"text":548,"config":549},"CICD",{"href":550,"dataGaName":551,"dataGaLocation":469},"/topics/ci-cd/","cicd",{"text":553,"config":554},"GitOps",{"href":555,"dataGaName":556,"dataGaLocation":469},"/topics/gitops/","gitops",{"text":558,"config":559},"DevOps",{"href":560,"dataGaName":561,"dataGaLocation":469},"/topics/devops/","devops",{"text":563,"config":564},"Version Control",{"href":565,"dataGaName":566,"dataGaLocation":469},"/topics/version-control/","version control",{"text":24,"config":568},{"href":569,"dataGaName":37,"dataGaLocation":469},"/topics/devsecops/",{"text":571,"config":572},"Cloud Native",{"href":573,"dataGaName":574,"dataGaLocation":469},"/topics/cloud-native/","cloud native",{"text":576,"config":577},"AI for Coding",{"href":578,"dataGaName":579,"dataGaLocation":469},"/topics/devops/ai-for-coding/","ai for coding",{"text":581,"config":582},"Agentic AI",{"href":583,"dataGaName":584,"dataGaLocation":469},"/topics/agentic-ai/","agentic ai",{"title":586,"links":587},"Solutions",[588,590,592,597,601,604,608,611,613,616,619,624],{"text":133,"config":589},{"href":128,"dataGaName":133,"dataGaLocation":469},{"text":122,"config":591},{"href":105,"dataGaName":106,"dataGaLocation":469},{"text":593,"config":594},"Agile development",{"href":595,"dataGaName":596,"dataGaLocation":469},"/solutions/agile-delivery/","agile delivery",{"text":598,"config":599},"SCM",{"href":118,"dataGaName":600,"dataGaLocation":469},"source code management",{"text":548,"config":602},{"href":111,"dataGaName":603,"dataGaLocation":469},"continuous integration & delivery",{"text":605,"config":606},"Value stream management",{"href":161,"dataGaName":607,"dataGaLocation":469},"value stream management",{"text":553,"config":609},{"href":610,"dataGaName":556,"dataGaLocation":469},"/solutions/gitops/",{"text":171,"config":612},{"href":173,"dataGaName":174,"dataGaLocation":469},{"text":614,"config":615},"Small business",{"href":178,"dataGaName":179,"dataGaLocation":469},{"text":617,"config":618},"Public sector",{"href":183,"dataGaName":184,"dataGaLocation":469},{"text":620,"config":621},"Education",{"href":622,"dataGaName":623,"dataGaLocation":469},"/solutions/education/","education",{"text":625,"config":626},"Financial services",{"href":627,"dataGaName":628,"dataGaLocation":469},"/solutions/finance/","financial services",{"title":191,"links":630},[631,633,635,637,640,642,644,646,648,650,652,654],{"text":203,"config":632},{"href":205,"dataGaName":206,"dataGaLocation":469},{"text":208,"config":634},{"href":210,"dataGaName":211,"dataGaLocation":469},{"text":213,"config":636},{"href":215,"dataGaName":216,"dataGaLocation":469},{"text":218,"config":638},{"href":220,"dataGaName":639,"dataGaLocation":469},"docs",{"text":241,"config":641},{"href":243,"dataGaName":244,"dataGaLocation":469},{"text":236,"config":643},{"href":238,"dataGaName":239,"dataGaLocation":469},{"text":251,"config":645},{"href":253,"dataGaName":254,"dataGaLocation":469},{"text":259,"config":647},{"href":261,"dataGaName":262,"dataGaLocation":469},{"text":264,"config":649},{"href":266,"dataGaName":267,"dataGaLocation":469},{"text":269,"config":651},{"href":271,"dataGaName":272,"dataGaLocation":469},{"text":274,"config":653},{"href":276,"dataGaName":277,"dataGaLocation":469},{"text":279,"config":655},{"href":281,"dataGaName":282,"dataGaLocation":469},{"title":293,"links":657},[658,660,662,664,666,668,670,674,679,681,683,685],{"text":300,"config":659},{"href":302,"dataGaName":295,"dataGaLocation":469},{"text":305,"config":661},{"href":307,"dataGaName":308,"dataGaLocation":469},{"text":313,"config":663},{"href":315,"dataGaName":316,"dataGaLocation":469},{"text":318,"config":665},{"href":320,"dataGaName":321,"dataGaLocation":469},{"text":323,"config":667},{"href":325,"dataGaName":326,"dataGaLocation":469},{"text":328,"config":669},{"href":330,"dataGaName":331,"dataGaLocation":469},{"text":671,"config":672},"Sustainability",{"href":673,"dataGaName":671,"dataGaLocation":469},"/sustainability/",{"text":675,"config":676},"Diversity, inclusion and belonging (DIB)",{"href":677,"dataGaName":678,"dataGaLocation":469},"/diversity-inclusion-belonging/","Diversity, inclusion and belonging",{"text":333,"config":680},{"href":335,"dataGaName":336,"dataGaLocation":469},{"text":343,"config":682},{"href":345,"dataGaName":346,"dataGaLocation":469},{"text":348,"config":684},{"href":350,"dataGaName":351,"dataGaLocation":469},{"text":686,"config":687},"Modern Slavery Transparency Statement",{"href":688,"dataGaName":689,"dataGaLocation":469},"https://handbook.gitlab.com/handbook/legal/modern-slavery-act-transparency-statement/","modern slavery transparency statement",{"items":691},[692,695,698],{"text":693,"config":694},"Terms",{"href":521,"dataGaName":522,"dataGaLocation":469},{"text":696,"config":697},"Cookies",{"dataGaName":531,"dataGaLocation":469,"id":532,"isOneTrustButton":28},{"text":699,"config":700},"Privacy",{"href":526,"dataGaName":527,"dataGaLocation":469},[702],{"id":703,"title":9,"body":26,"config":704,"content":706,"description":26,"extension":25,"meta":710,"navigation":28,"path":711,"seo":712,"stem":713,"__hash__":714},"blogAuthors/en-us/blog/authors/ayoub-fandi.yml",{"template":705},"BlogAuthor",{"name":9,"config":707},{"headshot":708,"ctfId":709},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664292/Blog/Author%20Headshots/ayofan-headshot.jpg","ayofan",{},"/en-us/blog/authors/ayoub-fandi",{},"en-us/blog/authors/ayoub-fandi","HOoASUQjXSXP48h7q-RWYP5BNbqeyaUzv_JonD4WKCc",[716,729,743],{"content":717,"config":727},{"title":718,"description":719,"authors":720,"heroImage":722,"date":723,"body":724,"category":11,"tags":725},"How to build CI/CD observability at scale","This practical guide to GitLab pipeline analytics helps self-managed users gain operational insights using Prometheus and Grafana.",[721],"Paul Meresanu","https://res.cloudinary.com/about-gitlab-com/image/upload/v1774465167/n5hlvrsrheadeccyr1oz.png","2026-04-28","CI/CD optimization starts with visibility. Building a successful DevOps platform at enterprise scale **should include** understanding pipeline performance, job execution patterns, and quantifiable operational insights — especially for organizations running GitLab self-managed instances.\n\nTo help GitLab customers maximize their platform investments, we developed the GitLab CI/CD Observability solution as part of our Platform Excellence program, which transforms raw pipeline metrics into actionable operational insights.\n\nA leading financial services organization partnered with GitLab's customer success architect to gain visibility into their GitLab self-managed deployment. Together, we implemented a containerized observability solution combining the open-source gitlab-ci-pipelines-exporter with enterprise-grade Prometheus and Grafana infrastructure.\n\nIn this article, you'll learn the challenges they faced managing pipelines at scale and how GitLab CI/CD Observability addressed them with a practical, end-to-end implementation.\n\n## The challenge: Measuring CI/CD performance\nBefore implementing any observability solution, define your measurement landscape:\n*   **What metrics matter?** Pipeline duration, job success rates, queue times, runner utilization\n*   **Who needs visibility?** Developers, DevOps engineers, platform teams, leadership\n*   **What decisions will this drive?** Infrastructure investment, bottleneck remediation, capacity planning\n\n## Solution architecture: A full set of dashboards for observability\nOnce deployed, the observability stack provides a set of Grafana dashboards that give real-time and historical visibility into your CI/CD platform. A typical deployment includes:\n*   **Pipeline Overview Dashboard:** A top-level view showing total pipeline runs, success/failure rates over time (as stacked bar or time-series charts), and average pipeline duration trends. Panels use color-coded status indicators (green for success, red for failure, amber for cancelled) so platform teams can spot degradation at a glance.\n*   **Job Performance Dashboard:** Drill-down panels showing individual job duration distributions (histogram), the top 10 slowest jobs by average duration, and job failure heatmaps by project and stage. This is where teams identify specific bottleneck jobs worth optimizing.\n*   **Runner & Infrastructure Dashboard:** Combines Node Exporter host metrics (CPU, memory, disk) with pipeline queue-time data to correlate infrastructure saturation with pipeline wait times. Useful for capacity planning decisions such as scaling runner pools or upgrading instance sizes.\n*   **Deployment Frequency Dashboard:** Tracks deployment count and deployment duration over time per environment, aligned with DORA metrics. Helps engineering leadership assess delivery throughput and environment drift (commits behind main).\n\nEach dashboard is provisioned automatically via Grafana's file-based provisioning, so it deploys consistently across environments. The dashboards can be further customized with Grafana variables to filter by project, ref/branch, or time range.\n\n![Solution architecture](https://res.cloudinary.com/about-gitlab-com/image/upload/v1777382608/Blog/Imported/blog-building-ci-cd-observability-stack-for-gitlab-self-managed/image1.png)\n\nThe solution requires two exporters:\n*   **Pipeline Exporter:** Collects CI/CD metrics via GitLab API (pipeline duration, job status, deployments)\n*   **Node Exporter:** Collects host-level metrics (CPU, memory, disk) for infrastructure correlation\n\n**Prerequisites:**\n*   GitLab Self-Managed Version 18.1+\n*   **Container orchestration platform:** A Kubernetes cluster (recommended for enterprise deployments) or a container runtime such as Docker/Podman for smaller scale or proof-of-concept environments. The primary deployment guide below targets Kubernetes; a Docker Compose alternative is provided in the appendix for local testing and evaluation\n*   GitLab Personal Access Token (**read_api** scope)\n\n## Kubernetes deployment (recommended)\nFor enterprise environments, deploy each component as a separate Deployment within a dedicated namespace. This approach integrates with existing cluster infrastructure, secrets management, and network policies.\n\n### 1. Create namespace and secret\n```bash\nkubectl create namespace gitlab-observability\n\n# Create the GitLab token secret (see Secrets Management section below\n# for enterprise-grade approaches using external secret operators)\nkubectl create secret generic gitlab-token \\\n  --from-literal=token=glpat-xxxxxxxxxxxx \\\n  -n gitlab-observability\n```\n\n\n### 2. Deploy the Pipeline Exporter\n```yaml\n# exporter-deployment.yaml\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n  name: gitlab-ci-pipelines-exporter\n  namespace: gitlab-observability\nspec:\n  replicas: 1\n  selector:\n    matchLabels:\n      app: gitlab-ci-pipelines-exporter\n  template:\n    metadata:\n      labels:\n        app: gitlab-ci-pipelines-exporter\n    spec:\n      containers:\n        - name: exporter\n          image: mvisonneau/gitlab-ci-pipelines-exporter:latest\n          ports:\n            - containerPort: 8080\n          env:\n            - name: GCPE_GITLAB_TOKEN\n              valueFrom:\n                secretKeyRef:\n                  name: gitlab-token\n                  key: token\n            - name: GCPE_CONFIG\n              value: /etc/gcpe/config.yml\n          volumeMounts:\n            - name: config\n              mountPath: /etc/gcpe\n      volumes:\n        - name: config\n          configMap:\n            name: gcpe-config\n---\napiVersion: v1\nkind: Service\nmetadata:\n  name: gitlab-ci-pipelines-exporter\n  namespace: gitlab-observability\nspec:\n  selector:\n    app: gitlab-ci-pipelines-exporter\n  ports:\n    - port: 8080\n      targetPort: 8080\n```\n\n### 3. Deploy Node Exporter (DaemonSet)\n```yaml\n# node-exporter-daemonset.yaml\napiVersion: apps/v1\nkind: DaemonSet\nmetadata:\n  name: node-exporter\n  namespace: gitlab-observability\nspec:\n  selector:\n    matchLabels:\n      app: node-exporter\n  template:\n    metadata:\n      labels:\n        app: node-exporter\n    spec:\n      containers:\n        - name: node-exporter\n          image: prom/node-exporter:latest\n          ports:\n            - containerPort: 9100\n---\napiVersion: v1\nkind: Service\nmetadata:\n  name: node-exporter\n  namespace: gitlab-observability\nspec:\n  selector:\n    app: node-exporter\n  ports:\n    - port: 9100\n      targetPort: 9100\n```\n\n### 4. Deploy Prometheus\n```yaml\n# prometheus-deployment.yaml\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n  name: prometheus\n  namespace: gitlab-observability\nspec:\n  replicas: 1\n  selector:\n    matchLabels:\n      app: prometheus\n  template:\n    metadata:\n      labels:\n        app: prometheus\n    spec:\n      containers:\n        - name: prometheus\n          image: prom/prometheus:latest\n          ports:\n            - containerPort: 9090\n          volumeMounts:\n            - name: config\n              mountPath: /etc/prometheus\n      volumes:\n        - name: config\n          configMap:\n            name: prometheus-config\n---\napiVersion: v1\nkind: Service\nmetadata:\n  name: prometheus\n  namespace: gitlab-observability\nspec:\n  selector:\n    app: prometheus\n  ports:\n    - port: 9090\n      targetPort: 9090\n```\n\n### 5. Deploy Grafana\nThe Grafana deployment below starts with authentication disabled (`GF_AUTH_ANONYMOUS_ENABLED: true`) for initial setup convenience.\n\n**This setting allows anyone with network access to view all dashboards without logging in.** For production deployments, remove this variable or set it to false and configure a proper authentication provider (LDAP, SAML/SSO, or OAuth) to restrict access to authorized users.\n```yaml\n# grafana-deployment.yaml\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n  name: grafana\n  namespace: gitlab-observability\nspec:\n  replicas: 1\n  selector:\n    matchLabels:\n      app: grafana\n  template:\n    metadata:\n      labels:\n        app: grafana\n    spec:\n      containers:\n        - name: grafana\n          image: grafana/grafana:10.0.0\n          ports:\n            - containerPort: 3000\n          env:\n            # REMOVE or set to 'false' for production.\n            # When 'true', any user with network access can\n            # view dashboards without authentication.\n            - name: GF_AUTH_ANONYMOUS_ENABLED\n              value: 'true'\n          volumeMounts:\n            - name: dashboards-provider\n              mountPath: /etc/grafana/provisioning/dashboards\n            - name: datasources\n              mountPath: /etc/grafana/provisioning/datasources\n            - name: dashboards\n              mountPath: /var/lib/grafana/dashboards\n      volumes:\n        - name: dashboards-provider\n          configMap:\n            name: grafana-dashboards-provider\n        - name: datasources\n          configMap:\n            name: grafana-datasources\n        - name: dashboards\n          configMap:\n            name: grafana-dashboards\n---\napiVersion: v1\nkind: Service\nmetadata:\n  name: grafana\n  namespace: gitlab-observability\nspec:\n  selector:\n    app: grafana\n  ports:\n    - port: 3000\n      targetPort: 3000\n```\n\n### 6. Set network policy\nRestrict inter-pod traffic to only the required communication paths:\n```yaml\n# network-policy.yaml\napiVersion: networking.k8s.io/v1\nkind: NetworkPolicy\nmetadata:\n  name: observability-policy\n  namespace: gitlab-observability\nspec:\n  podSelector: {}\n  policyTypes:\n    - Ingress\n  ingress:\n    # Prometheus scrapes exporter and node-exporter\n    - from:\n        - podSelector:\n            matchLabels:\n              app: prometheus\n      ports:\n        - port: 8080\n        - port: 9100\n    # Grafana queries Prometheus\n    - from:\n        - podSelector:\n            matchLabels:\n              app: grafana\n      ports:\n        - port: 9090\n```\n\n### 7. Validate\n```bash\nkubectl get pods -n gitlab-observability\nkubectl port-forward svc/grafana 3000:3000 -n gitlab-observability\ncurl http://localhost:3000/api/health\n```\n\n## Configuration reference\n### Exporter configuration\n```yaml\n# gitlab-ci-pipelines-exporter.yml (ConfigMap: gcpe-config)\nlog:\n  level: info\ngitlab:\n  url: https://gitlab.your-domain.com\n  maximum_requests_per_second: 10\nproject_defaults:\n  pull:\n    pipeline:\n      jobs:\n        enabled: true\nwildcards:\n  - owner:\n      name: your-group-name\n      kind: group\n    archived: false\n```\n\n### Prometheus configuration\n```yaml\n# prometheus.yml (ConfigMap: prometheus-config)\nglobal:\n  scrape_interval: 15s\nscrape_configs:\n  - job_name: 'gitlab-ci-pipelines-exporter'\n    static_configs:\n      - targets: ['gitlab-ci-pipelines-exporter:8080']\n  - job_name: 'node-exporter'\n    static_configs:\n      - targets: ['node-exporter:9100']\n```\n\n### Grafana data sources\n```yaml\n# datasources.yml (ConfigMap: grafana-datasources)\napiVersion: 1\ndatasources:\n  - name: Prometheus\n    type: prometheus\n    access: proxy\n    url: http://prometheus:9090\n    isDefault: true\n# dashboards.yml (ConfigMap: grafana-dashboards-provider)\napiVersion: 1\nproviders:\n  - name: 'default'\n    folder: 'GitLab CI/CD'\n    type: file\n    options:\n      path: /var/lib/grafana/dashboards\n```\n\n## Key metrics\n### Pipeline Exporter metrics\n| Metric | Description |\n| :---- | :---- |\n| `gitlab_ci_pipeline_duration_seconds` | Pipeline execution time |\n| `gitlab_ci_pipeline_status` | Pipeline success/failure by project |\n| `gitlab_ci_pipeline_job_duration_seconds` | Individual job execution time |\n| `gitlab_ci_pipeline_job_status` | Job success/failure status |\n| `gitlab_ci_pipeline_job_artifact_size_bytes` | Artifact storage consumption |\n| `gitlab_ci_pipeline_coverage` | Code coverage percentage |\n| `gitlab_ci_environment_deployment_count` | Deployment frequency |\n| `gitlab_ci_environment_deployment_duration_seconds` | Deployment execution time |\n| `gitlab_ci_environment_behind_commits_count` | Environment drift from main |\n\n### Node Exporter metrics\n| Metric | Description |\n| :---- | :---- |\n| `node_cpu_seconds_total` | CPU utilization |\n| `node_memory_MemAvailable_bytes` | Available memory |\n| `node_filesystem_avail_bytes` | Disk space available |\n| `node_load1` | 1-minute load average |\n\n## Troubleshooting\n### Air-gapped Grafana plugin installation\nFor offline environments, install plugins manually. Example for Kubernetes:\n```bash\n# Copy plugin zip into the Grafana pod\nkubectl cp grafana-polystat-panel-2.1.16.zip \\\n  gitlab-observability/grafana-\u003Cpod-id>:/tmp/\n# Extract plugin\nkubectl exec -it -n gitlab-observability deploy/grafana -- \\\n  sh -c \"unzip /tmp/grafana-polystat-panel-2.1.16.zip -d /var/lib/grafana/plugins/\"\n# Restart Grafana pod\nkubectl rollout restart deployment/grafana -n gitlab-observability\n# Verify installation\nkubectl exec -it -n gitlab-observability deploy/grafana -- \\\n  ls -al /var/lib/grafana/plugins/\n```\n\n## Enterprise considerations\nFor regulated industries, ensure:\n*   **Token security:** Store GitLab Personal Access Tokens in a dedicated secrets manager rather than hardcoded in ConfigMaps. Enforce token rotation policies and limit scope to **read\\_api** only.\n*   **Network segmentation:** Deploy behind a reverse proxy with TLS termination. In Kubernetes, use an Ingress controller with automated certificate provisioning.\n*   **Authentication:** Configure Grafana with your organization's identity provider (SAML, LDAP, or OAuth/OIDC) to enforce role-based access control on dashboards.\n\n## Why GitLab?\nGitLab's API-first design enables custom observability solutions that complement native capabilities like Value Stream Analytics and DORA metrics. The open architecture allows organizations to integrate proven open-source tooling — like the gitlab-ci-pipelines-exporter — directly with their existing enterprise infrastructure, without disrupting established workflows.\n\nAs your observability maturity grows, GitLab's built-in Observability capabilities provide a natural next step — offering deeper, integrated visibility without additional tooling. Learn more about what's available natively in the platform for [GitLab Observability](https://docs.gitlab.com/operations/observability/observability/).\n",[109,726,23],"product",{"featured":14,"template":15,"slug":728},"how-to-build-ci-cd-observability-at-scale",{"content":730,"config":741},{"body":731,"title":732,"description":733,"authors":734,"heroImage":736,"date":737,"category":11,"tags":738},"Most CI/CD tools can run a build and ship a deployment. Where they diverge is what happens when your delivery needs get real: a monorepo with a dozen services, microservices spread across multiple repositories, deployments to dozens of environments, or a platform team trying to enforce standards without becoming a bottleneck.\n  \nGitLab's pipeline execution model was designed for that complexity. Parent-child pipelines, DAG execution, dynamic pipeline generation, multi-project triggers, merge request pipelines with merged results, and CI/CD Components each solve a distinct class of problems. Because they compose, understanding the full model unlocks something more than a faster pipeline. In this article, you'll learn about the five patterns where that model stands out, each mapped to a real engineering scenario with the configuration to match.\n  \nThe configs below are illustrative. The scripts use echo commands to keep the signal-to-noise ratio low. Swap them out for your actual build, test, and deploy steps and they are ready to use.\n\n\n## 1. Monorepos: Parent-child pipelines + DAG execution\n\n\nThe problem: Your monorepo has a frontend, a backend, and a docs site. Every commit triggers a full rebuild of everything, even when only a README changed.\n\n\nGitLab solves this with two complementary features: [parent-child pipelines](https://docs.gitlab.com/ci/pipelines/downstream_pipelines/#parent-child-pipelines) (which let a top-level pipeline spawn isolated sub-pipelines) and [DAG execution via `needs`](https://docs.gitlab.com/ci/yaml/#needs) (which breaks rigid stage-by-stage ordering and lets jobs start the moment their dependencies finish).\n\n\nA parent pipeline detects what changed and triggers only the relevant child pipelines:\n\n```yaml\n# .gitlab-ci.yml\nstages:\n  - trigger\n\ntrigger-services:\n  stage: trigger\n  trigger:\n    include:\n      - local: '.gitlab/ci/api-service.yml'\n      - local: '.gitlab/ci/web-service.yml'\n      - local: '.gitlab/ci/worker-service.yml'\n    strategy: depend\n```\n\n\nEach child pipeline is a fully independent pipeline with its own stages, jobs, and artifacts. The parent waits for all of them via [strategy: depend](https://docs.gitlab.com/ci/pipelines/downstream_pipelines/#wait-for-downstream-pipeline-to-complete) so you get a single green/red signal at the top level, with full drill-down into each service's pipeline. This organizational separation is the bigger win for large teams: each service owns its pipeline config, changes in one cannot break another, and the complexity stays manageable as the repo grows.\n\n\nOne thing worth knowing: when you pass [multiple files to a single `trigger: include:`](https://docs.gitlab.com/ci/pipelines/downstream_pipelines/#combine-multiple-child-pipeline-configuration-files), GitLab merges them into a single child pipeline configuration. This means jobs defined across those files share the same pipeline context and can reference each other with `needs:`, which is what makes the DAG optimization possible. If you split them into separate trigger jobs instead, each would be its own isolated pipeline and cross-file `needs:` references would not work.\n\n\nCombine this with `needs:` inside each child pipeline and you get DAG execution. Your integration tests can start the moment the build finishes, without waiting for other jobs in the same stage.\n\n```yaml\n# .gitlab/ci/api-service.yml\nstages:\n  - build\n  - test\n\nbuild-api:\n  stage: build\n  script:\n    - echo \"Building API service\"\n\ntest-api:\n  stage: test\n  needs: [build-api]\n  script:\n    - echo \"Running API tests\"\n```\n\n\nWhy it matters: Teams with large monorepos typically report significant reductions in pipeline runtime after switching to DAG execution, since jobs no longer wait on unrelated work in the same stage. Parent-child pipelines add the organizational layer that keeps the configuration maintainable as the repo and team grow.\n\n![Local downstream pipelines](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775738759/Blog/Imported/hackathon-fake-blog-post-s/image3_vwj3rz.png \"Local downstream pipelines\")\n\n## 2. Microservices: Cross-repo, multi-project pipelines\n\n\nThe problem: Your frontend lives in one repo, your backend in another. When the frontend team ships a change, they have no visibility into whether it broke the backend integration and vice versa.\n\n\nGitLab's [multi-project pipelines](https://docs.gitlab.com/ci/pipelines/downstream_pipelines/#multi-project-pipelines) let one project trigger a pipeline in a completely separate project and wait for the result. The triggering project gets a linked downstream pipeline right in its own pipeline view.\n\n\nThe frontend pipeline builds an API contract artifact and publishes it, then triggers the backend pipeline. The backend fetches that artifact directly using the [Jobs API](https://docs.gitlab.com/api/jobs/#download-a-single-artifact-file-from-specific-tag-or-branch) and validates it before allowing anything to proceed. If a breaking change is detected, the backend pipeline fails and the frontend pipeline fails with it.\n\n```yaml\n# frontend repo: .gitlab-ci.yml\nstages:\n  - build\n  - test\n  - trigger-backend\n\nbuild-frontend:\n  stage: build\n  script:\n    - echo \"Building frontend and generating API contract...\"\n    - mkdir -p dist\n    - |\n      echo '{\n        \"api_version\": \"v2\",\n        \"breaking_changes\": false\n      }' > dist/api-contract.json\n    - cat dist/api-contract.json\n  artifacts:\n    paths:\n      - dist/api-contract.json\n    expire_in: 1 hour\n\ntest-frontend:\n  stage: test\n  script:\n    - echo \"All frontend tests passed!\"\n\ntrigger-backend-pipeline:\n  stage: trigger-backend\n  trigger:\n    project: my-org/backend-service\n    branch: main\n    strategy: depend\n  rules:\n    - if: $CI_COMMIT_BRANCH == \"main\"\n```\n\n```yaml\n# backend repo: .gitlab-ci.yml\nstages:\n  - build\n  - test\n\nbuild-backend:\n  stage: build\n  script:\n    - echo \"All backend tests passed!\"\n\nintegration-test:\n  stage: test\n  rules:\n    - if: $CI_PIPELINE_SOURCE == \"pipeline\"\n  script:\n    - echo \"Fetching API contract from frontend...\"\n    - |\n      curl --silent --fail \\\n        --header \"JOB-TOKEN: $CI_JOB_TOKEN\" \\\n        --output api-contract.json \\\n        \"${CI_API_V4_URL}/projects/${FRONTEND_PROJECT_ID}/jobs/artifacts/main/raw/dist/api-contract.json?job=build-frontend\"\n    - cat api-contract.json\n    - |\n      if grep -q '\"breaking_changes\": true' api-contract.json; then\n        echo \"FAIL: Breaking API changes detected - backend integration blocked!\"\n        exit 1\n      fi\n      echo \"PASS: API contract is compatible!\"\n```\n\n\nA few things worth noting in this config. The `integration-test` job uses `$CI_PIPELINE_SOURCE == \"pipeline\"` to ensure it only runs when triggered by an upstream pipeline, not on a standalone push to the backend repo. The frontend project ID is referenced via `$FRONTEND_PROJECT_ID`, which should be set as a [CI/CD variable](https://docs.gitlab.com/ci/variables/) in the backend project settings to avoid hardcoding it.\n\n\nWhy it matters: Cross-service breakage that previously surfaced in production gets caught in the pipeline instead. The dependency between services stops being invisible and becomes something teams can see, track, and act on.\n\n\n![Cross-project pipelines](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775738762/Blog/Imported/hackathon-fake-blog-post-s/image4_h6mfsb.png \"Cross-project pipelines\")\n\n\n## 3. Multi-tenant / matrix deployments: Dynamic child pipelines\n\n\nThe problem: You deploy the same application to 15 customer environments, or three cloud regions, or dev/staging/prod. Updating a deploy stage across all of them one by one is the kind of work that leads to configuration drift. Writing a separate pipeline for each environment is unmaintainable from day one.\n\n\nGitLab's [dynamic child pipelines](https://docs.gitlab.com/ci/pipelines/downstream_pipelines/#dynamic-child-pipelines) let you generate a pipeline at runtime. A job runs a script that produces a YAML file, and that YAML becomes the pipeline for the next stage. The pipeline structure itself becomes data.\n\n\n```yaml\n# .gitlab-ci.yml\nstages:\n  - generate\n  - trigger-environments\n\ngenerate-config:\n  stage: generate\n  script:\n    - |\n      # ENVIRONMENTS can be passed as a CI variable or read from a config file.\n      # Default to dev, staging, prod if not set.\n      ENVIRONMENTS=${ENVIRONMENTS:-\"dev staging prod\"}\n      for ENV in $ENVIRONMENTS; do\n        cat > ${ENV}-pipeline.yml \u003C\u003C EOF\n      stages:\n        - deploy\n        - verify\n      deploy-${ENV}:\n        stage: deploy\n        script:\n          - echo \"Deploying to ${ENV} environment\"\n      verify-${ENV}:\n        stage: verify\n        script:\n          - echo \"Running smoke tests on ${ENV}\"\n      EOF\n      done\n  artifacts:\n    paths:\n      - \"*.yml\"\n    exclude:\n      - \".gitlab-ci.yml\"\n\n.trigger-template:\n  stage: trigger-environments\n  trigger:\n    strategy: depend\n\ntrigger-dev:\n  extends: .trigger-template\n  trigger:\n    include:\n      - artifact: dev-pipeline.yml\n        job: generate-config\n\ntrigger-staging:\n  extends: .trigger-template\n  needs: [trigger-dev]\n  trigger:\n    include:\n      - artifact: staging-pipeline.yml\n        job: generate-config\n\ntrigger-prod:\n  extends: .trigger-template\n  needs: [trigger-staging]\n  trigger:\n    include:\n      - artifact: prod-pipeline.yml\n        job: generate-config\n  when: manual\n```\n\n\nThe generation script loops over an `ENVIRONMENTS` variable rather than hardcoding each environment separately. Pass in a different list via a CI variable or read it from a config file and the pipeline adapts without touching the YAML. The trigger jobs use [extends:](https://docs.gitlab.com/ci/yaml/#extends) to inherit shared configuration from `.trigger-template`, so `strategy: depend` is defined once rather than repeated on every trigger job. Add a new environment by updating the variable, not by duplicating pipeline config. Add [when: manual](https://docs.gitlab.com/ci/yaml/#when) to the production trigger and you get a promotion gate baked right into the pipeline graph.\n\n\nWhy it matters: SaaS companies and platform teams use this pattern to manage dozens of environments without duplicating pipeline logic. The pipeline structure itself stays lean as the deployment matrix grows.\n\n\n![Dynamic pipeline](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775738765/Blog/Imported/hackathon-fake-blog-post-s/image7_wr0kx2.png \"Dynamic pipeline\")\n\n\n## 4. MR-first delivery: Merge request pipelines, merged results, and workflow routing\n\n\nThe problem: Your pipeline runs on every push to every branch. Expensive tests run on feature branches that will never merge. Meanwhile, you have no guarantee that what you tested is actually what will land on `main` after a merge.\n\n\nGitLab has three interlocking features that solve this together:\n\n\n*   [Merge request pipelines](https://docs.gitlab.com/ci/pipelines/merge_request_pipelines/) run only when a merge request exists, not on every branch push. This alone eliminates a significant amount of wasted compute.\n\n*   [Merged results pipelines](https://docs.gitlab.com/ci/pipelines/merged_results_pipelines/) go further. GitLab creates a temporary merge commit (your branch plus the current target branch) and runs the pipeline against that. You are testing what will actually exist after the merge, not just your branch in isolation.\n\n*   [Workflow rules](https://docs.gitlab.com/ci/yaml/workflow/) let you define exactly which pipeline type runs under which conditions and suppress everything else. The `$CI_OPEN_MERGE_REQUESTS` guard below prevents duplicate pipelines firing for both a branch and its open MR simultaneously.\n\n\nWith those three working together, here is what a tiered pipeline looks like:\n\n```yaml\n# .gitlab-ci.yml\nworkflow:\n  rules:\n    - if: $CI_PIPELINE_SOURCE == \"merge_request_event\"\n    - if: $CI_COMMIT_BRANCH && $CI_OPEN_MERGE_REQUESTS\n      when: never\n    - if: $CI_COMMIT_BRANCH\n    - if: $CI_PIPELINE_SOURCE == \"schedule\"\n\nstages:\n  - fast-checks\n  - expensive-tests\n  - deploy\n\nlint-code:\n  stage: fast-checks\n  script:\n    - echo \"Running linter\"\n  rules:\n    - if: $CI_PIPELINE_SOURCE == \"push\"\n    - if: $CI_PIPELINE_SOURCE == \"merge_request_event\"\n    - if: $CI_COMMIT_BRANCH == \"main\"\n\nunit-tests:\n  stage: fast-checks\n  script:\n    - echo \"Running unit tests\"\n  rules:\n    - if: $CI_PIPELINE_SOURCE == \"push\"\n    - if: $CI_PIPELINE_SOURCE == \"merge_request_event\"\n    - if: $CI_COMMIT_BRANCH == \"main\"\n\nintegration-tests:\n  stage: expensive-tests\n  script:\n    - echo \"Running integration tests (15 min)\"\n  rules:\n    - if: $CI_PIPELINE_SOURCE == \"merge_request_event\"\n    - if: $CI_COMMIT_BRANCH == \"main\"\n\ne2e-tests:\n  stage: expensive-tests\n  script:\n    - echo \"Running E2E tests (30 min)\"\n  rules:\n    - if: $CI_PIPELINE_SOURCE == \"merge_request_event\"\n    - if: $CI_COMMIT_BRANCH == \"main\"\n\nnightly-comprehensive-scan:\n  stage: expensive-tests\n  script:\n    - echo \"Running full nightly suite (2 hours)\"\n  rules:\n    - if: $CI_PIPELINE_SOURCE == \"schedule\"\n\ndeploy-production:\n  stage: deploy\n  script:\n    - echo \"Deploying to production\"\n  rules:\n    - if: $CI_COMMIT_BRANCH == \"main\"\n      when: manual\n```\n\nWith this setup, the pipeline behaves differently depending on context. A push to a feature branch with no open MR runs lint and unit tests only. Once an MR is opened, the workflow rules switch from a branch pipeline to an MR pipeline, and the full integration and E2E suite runs against the merged result. Merging to `main` queues a manual production deployment. A nightly schedule runs the comprehensive scan once, not on every commit.\n\n\nWhy it matters: Teams routinely cut CI costs significantly with this pattern, not by running fewer tests, but by running the right tests at the right time. Merged results pipelines catch the class of bugs that only appear after a merge, before they ever reach `main`.\n\n\n![Conditional pipelines (within a branch with no MR)](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775738768/Blog/Imported/hackathon-fake-blog-post-s/image6_dnfcny.png \"Conditional pipelines (within a branch with no MR)\")\n\n\n\n![Conditional pipelines (within an MR)](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775738772/Blog/Imported/hackathon-fake-blog-post-s/image1_wyiafu.png \"Conditional pipelines (within an MR)\")\n\n\n\n![Conditional pipelines (on the main branch)](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775738774/Blog/Imported/hackathon-fake-blog-post-s/image5_r6lkfd.png \"Conditional pipelines (on the main branch)\")\n\n## 5. Governed pipelines: CI/CD Components\n\n\nThe problem: Your platform team has defined the right way to build, test, and deploy. But every team has their own `.gitlab-ci.yml` with subtle variations. Security scanning gets skipped. Deployment standards drift. Audits are painful.\n\n\nGitLab [CI/CD Components](https://docs.gitlab.com/ci/components/) let platform teams publish versioned, reusable pipeline building blocks. Application teams consume them with a single `include:` line and optional inputs — no copy-paste, no drift. Components are discoverable through the [CI/CD Catalog](https://docs.gitlab.com/ci/components/#cicd-catalog), which means teams can find and adopt approved building blocks without needing to go through the platform team directly.\n\n\nHere is a component definition from a shared library:\n\n```yaml\n# templates/deploy.yml\nspec:\n  inputs:\n    stage:\n      default: deploy\n    environment:\n      default: production\n---\ndeploy-job:\n  stage: $[[ inputs.stage ]]\n  script:\n    - echo \"Deploying $APP_NAME to $[[ inputs.environment ]]\"\n    - echo \"Deploy URL: $DEPLOY_URL\"\n  environment:\n    name: $[[ inputs.environment ]]\n```\nAnd here is how an application team consumes it:\n\n```yaml\n# Application repo: .gitlab-ci.yml\nvariables:\n  APP_NAME: \"my-awesome-app\"\n  DEPLOY_URL: \"https://api.example.com\"\n\ninclude:\n  - component: gitlab.com/my-org/component-library/build@v1.0.6\n  - component: gitlab.com/my-org/component-library/test@v1.0.6\n  - component: gitlab.com/my-org/component-library/deploy@v1.0.6\n    inputs:\n      environment: staging\n\nstages:\n  - build\n  - test\n  - deploy\n```\n\nThree lines of `include:` replace hundreds of lines of duplicated YAML. The platform team can push a security fix to `v1.0.7` and teams opt in on their own schedule — or the platform team can pin everyone to a minimum version. Either way, one change propagates everywhere instead of needing to be applied repo by repo.\n\n\nPair this with [resource groups](https://docs.gitlab.com/ci/resource_groups/) to prevent concurrent deployments to the same environment, and [protected environments](https://docs.gitlab.com/ci/environments/protected_environments/) to enforce approval gates - and you have a governed delivery platform where compliance is the default, not the exception.\n\n\nWhy it matters: This is the pattern that makes GitLab CI/CD scale across hundreds of teams. Platform engineering teams enforce compliance without becoming a bottleneck. Application teams get a fast path to a working pipeline without reinventing the wheel.\n\n\n![Component pipeline (imported jobs)](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775738776/Blog/Imported/hackathon-fake-blog-post-s/image2_pizuxd.png \"Component pipeline (imported jobs)\")\n\n## Putting it all together\n\nNone of these features exist in isolation. The reason GitLab's pipeline model is worth understanding deeply is that these primitives compose:\n\n*   A monorepo uses parent-child pipelines, and each child uses DAG execution\n\n*   A microservices platform uses multi-project pipelines, and each project uses MR pipelines with merged results\n\n*   A governed platform uses CI/CD components to standardize the patterns above across every team\n\n\nMost teams discover one of these features when they hit a specific pain point. The ones who invest in understanding the full model end up with a delivery system that actually reflects how their engineering organization works, not a pipeline that fights it.\n\n## Other patterns worth exploring\n\n\nThe five patterns above cover the most common structural pain points, but GitLab's pipeline model goes further. A few others worth looking into as your needs grow:\n\n\n*   [Review apps with dynamic environments](https://docs.gitlab.com/ci/environments/) let you spin up a live preview for every feature branch and tear it down automatically when the MR closes. Useful for teams doing frontend work or API changes that need stakeholder sign-off before merging.\n\n*   [Caching and artifact strategies](https://docs.gitlab.com/ci/caching/) are often the fastest way to cut pipeline runtime after the structural work is done. Structuring `cache:` keys around dependency lockfiles and being deliberate about what gets passed between jobs with [artifacts:](https://docs.gitlab.com/ci/yaml/#artifacts) can make a significant difference without changing your pipeline shape at all.\n\n*   [Scheduled and API-triggered pipelines](https://docs.gitlab.com/ci/pipelines/schedules/) are worth knowing about because not everything should run on a code push. Nightly security scans, compliance reports, and release automation are better modeled as scheduled or [API-triggered](https://docs.gitlab.com/ci/triggers/) pipelines with `$CI_PIPELINE_SOURCE` routing the right jobs for each context.\n\n## How to get started\n\nModern software delivery is complex. Teams are managing monorepos with dozens of services, coordinating across multiple repositories, deploying to many environments at once, and trying to keep standards consistent as organizations grow. GitLab's pipeline model was built with all of that in mind.\n\nWhat makes it worth investing time in is how well the pieces fit together. Parent-child pipelines bring structure to large codebases. Multi-project pipelines make cross-team dependencies visible and testable. Dynamic pipelines turn environment management into something that scales gracefully. MR-first delivery with merged results ensures confidence at every step of the review process. And CI/CD Components give platform teams a way to share best practices across an entire organization without becoming a bottleneck.\n\nEach of these features is powerful on its own, and even more so when combined. GitLab gives you the building blocks to design a delivery system that fits how your team actually works, and grows with you as your needs evolve.\n\n> [Start a free trial of GitLab Ultimate](https://about.gitlab.com/free-trial/) to use pipeline logic today.\n\n## Read more\n\n*   [Variable and artifact sharing in GitLab parent-child pipelines](https://about.gitlab.com/blog/variable-and-artifact-sharing-in-gitlab-parent-child-pipelines/)\n*   [CI/CD inputs: Secure and preferred method to pass parameters to a pipeline](https://about.gitlab.com/blog/ci-cd-inputs-secure-and-preferred-method-to-pass-parameters-to-a-pipeline/)\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*   [How to include file references in your CI/CD components](https://about.gitlab.com/blog/how-to-include-file-references-in-your-ci-cd-components/)\n*   [FAQ: GitLab CI/CD Catalog](https://about.gitlab.com/blog/faq-gitlab-ci-cd-catalog/)\n*   [Building a GitLab CI/CD pipeline for a monorepo the easy way](https://about.gitlab.com/blog/building-a-gitlab-ci-cd-pipeline-for-a-monorepo-the-easy-way/)\n*   [A CI/CD component builder's journey](https://about.gitlab.com/blog/a-ci-component-builders-journey/)\n*   [CI/CD Catalog goes GA: No more building pipelines from scratch](https://about.gitlab.com/blog/ci-cd-catalog-goes-ga-no-more-building-pipelines-from-scratch/)","5 ways GitLab pipeline logic solves real engineering problems","Learn how to scale CI/CD with composable patterns for monorepos, microservices, environments, and governance.",[735],"Omid Khan","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772721753/frfsm1qfscwrmsyzj1qn.png","2026-04-09",[109,739,23,740],"DevOps platform","features",{"featured":28,"template":15,"slug":742},"5-ways-gitlab-pipeline-logic-solves-real-engineering-problems",{"content":744,"config":753},{"title":745,"description":746,"authors":747,"heroImage":749,"date":750,"body":751,"category":11,"tags":752},"How to use GitLab Container Virtual Registry with Docker Hardened Images","Learn how to simplify container image management with this step-by-step guide.",[748],"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 difficult 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/)",[23,726,740],{"featured":14,"template":15,"slug":754},"using-gitlab-container-virtual-registry-with-docker-hardened-images",{"promotions":756},[757,771,782,793],{"id":758,"categories":759,"header":761,"text":762,"button":763,"image":768},"ai-modernization",[760],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":764,"config":765},"Get your AI maturity score",{"href":766,"dataGaName":767,"dataGaLocation":244},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":769},{"src":770},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":772,"categories":773,"header":774,"text":762,"button":775,"image":779},"devops-modernization",[726,37],"Are you just managing tools or shipping innovation?",{"text":776,"config":777},"Get your DevOps maturity score",{"href":778,"dataGaName":767,"dataGaLocation":244},"/assessments/devops-modernization-assessment/",{"config":780},{"src":781},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":783,"categories":784,"header":785,"text":762,"button":786,"image":790},"security-modernization",[22],"Are you trading speed for security?",{"text":787,"config":788},"Get your security maturity score",{"href":789,"dataGaName":767,"dataGaLocation":244},"/assessments/security-modernization-assessment/",{"config":791},{"src":792},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":794,"paths":795,"header":798,"text":799,"button":800,"image":805},"github-azure-migration",[796,797],"migration-from-azure-devops-to-gitlab","integrating-azure-devops-scm-and-gitlab","Is your team ready for GitHub's Azure move?","GitHub is already rebuilding around Azure. Find out what it means for you.",{"text":801,"config":802},"See how GitLab compares to GitHub",{"href":803,"dataGaName":804,"dataGaLocation":244},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":806},{"src":781},{"header":808,"blurb":809,"button":810,"secondaryButton":815},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":811,"config":812},"Get your free trial",{"href":813,"dataGaName":51,"dataGaLocation":814},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":507,"config":816},{"href":55,"dataGaName":56,"dataGaLocation":814},1777493597168]