[{"data":1,"prerenderedAt":786},["ShallowReactive",2],{"/en-us/blog/data-driven-devsecops-exploring-gitlab-insights-dashboards":3,"navigation-en-us":42,"banner-en-us":441,"footer-en-us":451,"blog-post-authors-en-us-Ricardo Amarilla Villalba":691,"blog-related-posts-en-us-data-driven-devsecops-exploring-gitlab-insights-dashboards":705,"assessment-promotions-en-us":737,"next-steps-en-us":776},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":28,"isFeatured":12,"meta":29,"navigation":12,"path":30,"publishedDate":20,"seo":31,"stem":36,"tagSlugs":37,"__hash__":41},"blogPosts/en-us/blog/data-driven-devsecops-exploring-gitlab-insights-dashboards.yml","Data Driven Devsecops Exploring Gitlab Insights Dashboards",[7],"ricardo-amarilla-villalba",null,"product",{"slug":11,"featured":12,"template":13},"data-driven-devsecops-exploring-gitlab-insights-dashboards",true,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"Data-driven DevSecOps: Exploring GitLab Insights Dashboards","Learn how to leverage GitLab Insights Dashboards to visualize key metrics, track project progress, and boost team productivity with customizable, data-driven views.",[18],"Ricardo Amarilla Villalba","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097210/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%2811%29_78Dav6FR9EGjhebHWuBVan_1750097210214.png","2024-11-20","Metrics and analytics play a crucial role in driving productivity, quality, and success. GitLab, as a comprehensive DevSecOps platform, offers powerful tools for tracking and visualizing these vital metrics through its Insights Dashboards. In this article, you'll learn how to use the Insights Dashboards in your environment.\n\n## Introduction to GitLab metrics and analytics \n\nGitLab provides an array of metrics and analytics tools that cover various aspects of the DevSecOps lifecycle:\n\n1. [Productivity Analytics](https://docs.gitlab.com/ee/user/analytics/productivity_analytics.html): Track team velocity, cycle time, and lead time.  \n2. [Code Review Analytics](https://docs.gitlab.com/ee/user/analytics/code_review_analytics.html): Measure code quality, test coverage, and review efficiency.  \n3. [CI/CD Analytics](https://docs.gitlab.com/ee/user/analytics/ci_cd_analytics.html): Monitor pipeline performance and deployment frequency.  \n4. [Value Stream Analytics](https://docs.gitlab.com/ee/user/group/value_stream_analytics/): Visualize the flow of work from idea to production.  \n5. [Insights](https://docs.gitlab.com/ee/user/project/insights/): Explore and visualize data about your projects and groups.\n\nThese metrics offer invaluable insights into your development process, helping teams identify bottlenecks, optimize workflows, and make data-driven decisions.\n\n## Leveraging labels for specific metrics\n\nOne of GitLab's most powerful, yet understated features, is Labels, which allows you to filter and focus on specific metrics with pinpoint accuracy. By strategically applying labels to issues, merge requests, and epics, you can create custom views that provide targeted insights into your project's performance and progress.\n\nLabels in GitLab act as versatile identifiers, allowing you to categorize and organize your work items with great flexibility. Whether you're tracking feature development, bug fixes, or team-specific tasks, labels enable you to slice and dice your project data in ways that reveal meaningful patterns and trends. This concept parallels the use of tags in cloud deployments, where resources are labeled for easier management, cost allocation, and operational insights.\n\nBy thoughtfully labeling your work items, you're essentially creating a sophisticated labeling system that can be leveraged to generate custom dashboards and reports. This approach empowers you to zoom in on the metrics that matter most to your team or stakeholders, providing a clear and focused view of your project's health and momentum.\n\n## How to configure GitLab Insights\n\nGitLab Insights allow you to explore and visualize data about your projects and groups. They provide valuable analytics on various aspects such as issues created and closed during a specified period, average time for merge requests to be merged, and triage hygiene. Insights can be configured for both projects and groups.\n\nTo configure Insights:\n\n1. For project insights:  \n   * Create a file named `.gitlab/insights.yml` in the root directory of your project.  \n2. For group insights:  \n   * Create a `.gitlab/insights.yml` file in a project that belongs to your group.  \n   * Go to your group's **Settings > General**.  \n   * Expand the **Analytics section** and find the **Insights section**.  \n   * Select the project containing the configuration file and save changes.\n\nThe `.gitlab/insights.yml` file is a YAML file where you define the structure and order of charts in a report, as well as the style of charts to be displayed. Each chart definition includes parameters such as title, description, type, and query to specify the data source and filtering conditions.\n\nTo view insights, navigate to **Analyze > Insights** in your project or group.\n\n![View default Insights Dashboard](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097218/Blog/Content%20Images/Blog/Content%20Images/image3_aHR0cHM6_1750097217972.png)\n\n## Customize merge request insights\n\nWhile the default view provides valuable raw information, we can customize the Insights Dashboard to uncover additional layers of information, such as which team was responsible for each merge request and what type of problem each one solved.\n\n## Merge request insights for each squad and requirement type\n\nMeasuring squad productivity in GitLab can be challenging, especially when the GitLab group and subgroup structure doesn't align perfectly with your squad organization. Here's how to overcome these challenges and effectively track squad productivity:\n\n### **Setting up squad-based metrics**\n\n1. **Label creation:** Create unique scope labels for each squad (e.g., `squad::alpha`, `squad::beta`) and each requirement type (e.g., `type::bug`, `type::feature`, `type::maintenance`).\n\n\u003C!-- blank line -->\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/ZUOzORIUJeU?si=T8eHeGizS3blYFHB\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\u003C!-- blank line -->\n\n2. **Label application:** Consistently apply these squad labels to all issues and merge requests handled by each squad, regardless of the project or group they're in.  \n\n\u003C!-- blank line -->\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/fJ9entEBZG8?si=MlM6mKirEdkmwDDJ\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\u003C!-- blank line -->\n\n**Hints:**  \n   * Use GitLab API to apply labels massively to existing open, merged, and closed MRs.  \n   * Add/remove/update labels as part of your GitLab CI pipeline.  \n   * Leverage the GitLab Triage Bot to automate the labeling process.  \n\n3. Dashboard setup: Create a `.gitlab/insights.yml` file in your project repository with custom charts for team-specific and type-specific merge request insights.\n\n```yaml\n## Default Merge Requests insights.yml \nmergeRequests:\n  title: Merge requests dashboard\n  charts:\n    - title: Merge requests merged per week \n      type: bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          group_by: week\n          period_limit: 12\n    - title: Merge requests merged per month\n      type: bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          group_by: month\n          period_limit: 3\n\n## Per-teams Merge Requests insights.yml\nmergeRequestsTeams:\n  title: Merge requests dashboard per teams\n  charts:\n    - title: Merge requests merged per week \n      type: stacked-bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          group_by: week\n          period_limit: 12\n          collection_labels:\n            - squad::alpha\n            - squad::beta\n    - title: Merge requests merged per month\n      type: stacked-bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          group_by: month\n          period_limit: 3\n          collection_labels:\n            - squad::alpha\n            - squad::beta\n\n## Per-teams and Type Merge Requests insights.yml\nmergeRequestsTeamsAndType:\n  title: Per Teams and Type - Merge requests dashboard\n  charts:\n    - title: Merge requests merged per week - Squad Alpha\n      type: stacked-bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          filter_labels: squad::alpha\n          collection_labels:\n            - type::feature\n            - type::bug\n            - type::maintenance\n          group_by: week\n          period_limit: 12\n    - title: Merge requests merged per month - Squad Alpha\n      type: stacked-bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          filter_labels: squad::alpha\n          collection_labels:\n            - type::feature\n            - type::bug\n            - type::maintenance\n          group_by: month\n          period_limit: 3\n    - title: Merge requests merged per week - Squad Beta\n      type: stacked-bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          filter_labels: squad::beta\n          collection_labels:\n            - type::feature\n            - type::bug\n            - type::maintenance\n          group_by: week\n          period_limit: 12\n    - title: Merge requests merged per month - Squad Beta\n      type: stacked-bar\n      query:\n        data_source: issuables\n        params:\n          issuable_type: merge_request\n          issuable_state: merged\n          filter_labels: squad::beta\n          collection_labels:\n            - type::feature\n            - type::bug\n            - type::maintenance\n          group_by: month\n          period_limit: 3\n\n```\n\nBy implementing these customizations, you can create insightful dashboards that provide a clear view of merge request activity per team and requirement type, allowing you to visualize trends over time, compare performance between squads, and analyze the distribution of different types of work for each squad. \n\n![dashboards with view of MR activity per team and requirement type](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097218/Blog/Content%20Images/Blog/Content%20Images/image2_aHR0cHM6_1750097217972.png)\n\n![dashboard comparing performance between squads](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097218/Blog/Content%20Images/Blog/Content%20Images/image1_aHR0cHM6_1750097217974.png)\n\n## Get started today\n\nGitLab Insights is just the tip of the iceberg when it comes to metrics and analytics. To explore the full range of GitLab's powerful analytics features, including Value Stream Analytics, CI/CD Analytics, and Code Review metrics, check out our Value Stream Management product tour:\n\n[![Value Stream Management product tour](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097218/Blog/Content%20Images/Blog/Content%20Images/Screenshot_2024-11-20_at_12.28.08_PM_aHR0cHM6_1750097217976.png)](https://gitlab.navattic.com/vsm)\n\n> Ready to start your own metrics journey? Sign up for a [free trial of GitLab Ultimate today](https://gitlab.com/-/trials/new?glm_content=default-saas-trial&glm_source=about.gitlab.com%2F) and unlock the full potential of data-driven DevSecOps.\n\n## Read more\n- [Scheduled Reports Generation tool simplifies value stream management](https://about.gitlab.com/blog/new-scheduled-reports-generation-tool-simplifies-value-stream-management/)\n- [Getting started with the new GitLab Value Streams Dashboard](https://about.gitlab.com/blog/getting-started-with-value-streams-dashboard/)\n- [AI Impact analytics dashboard measures the ROI of AI](https://about.gitlab.com/blog/developing-gitlab-duo-ai-impact-analytics-dashboard-measures-the-roi-of-ai/)\n",[23,24,9,25,26,27],"CI/CD","DevSecOps platform","features","tutorial","solutions 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GitLab metrics and registry features help reduce CI/CD bottlenecks","See how CI/CD Job Performance Metrics and Container Virtual Registry, currently in beta, help platform teams quickly spot slow jobs and simplify multi-registry container pulls.",[711],"Talia Armato-Helle","https://res.cloudinary.com/about-gitlab-com/image/upload/v1771438388/t6sts5qw4z8561gtlxiq.png","Platform and DevOps engineers spend too much time piecing together visibility across fragmented tools and managing infrastructure that should just work.\n\nTwo new GitLab features currently in beta tackle this from different angles but share the same goal: giving practitioners direct control over the CI/CD infrastructure they depend on, without adding another third-party tool. One surfaces job-level performance data right where you monitor pipelines. The other simplifies how you pull container images from multiple registries with built-in caching.\n\nBoth features are open for feedback now. Your input will help shape what ships next.\n\n## CI/CD Job Performance Metrics\n\n* **Available tiers:** GitLab Premium, GitLab Ultimate\n* **Status:** Limited-availability beta on GitLab.com; available on GitLab Self-Managed and GitLab Dedicated when ClickHouse is configured\n\nToday, there’s no simple way to see when a particular job’s duration starts increasing or which jobs are quietly dragging down your pipeline runtimes. Most teams either build custom dashboards or manually dig through logs to answer basic questions like:\n\n* Which jobs are slowest?  \n* Where are failure rates climbing?  \n* Which stage is the real bottleneck?\n\nCI/CD Job Performance Metrics changes that by adding a new job-focused panel to the CI/CD analytics page at the project level.\n\nFor each job in your pipelines, you can see:\n\n* Typical (P50, median) and worst‑case (P95) job duration, so you can quickly view normal versus slowest runs  \n* Failure rate, so you can spot fragile or flaky jobs  \n* Job name and stage, covering the last 30 days by default\n\nThe table is sortable, searchable by job name, and paginated, so platform teams get a single view to answer questions that previously required separate tools or custom reporting.\n\n**Try it now**\n\n* Navigate to your project and select **Analyze \\> CI/CD analytics**.  \n* Look for the CI/CD job performance metrics panel and sort by duration or failure rate to find your slowest or least reliable jobs.\n\n**Documentation**\n\n* [CI/CD analytics – CI/CD job performance metrics](https://docs.gitlab.com/user/analytics/ci_cd_analytics/#cicd-job-performance-metrics)\n\n**What’s coming next**\n\nWe’re working on stage-level grouping, so you can view aggregated metrics across your build, test, and deploy stages, and quickly understand where to focus optimization work.\n\n**Share your feedback:**\n\n* [CI/CD job performance metrics epic](https://gitlab.com/groups/gitlab-org/-/work_items/18548)\n\n## Container Virtual Registry\n\n**Tier:** GitLab Premium, GitLab Ultimate\n**Status:** Beta, API-ready in 18.9\n\nMost organizations pulling container images into CI/CD pipelines rely on multiple registries: Docker Hub, Harbor, Quay, and internal registries, to name a few. Managing authentication, availability, and caching across all of them is operational overhead that slows pipelines down and introduces fragility.\n\nThe Container Virtual Registry lets you create a single GitLab endpoint that pulls from multiple upstream container sources with built-in caching.\n\nInstead of configuring credentials and availability for each registry individually in your pipeline configuration, you can:\n\n* Point your pipelines at one GitLab virtual registry endpoint  \n* Configure multiple upstream registries (Docker Hub, Harbor, Quay, and others using long-lived token authentication)  \n* Let GitLab resolve image pulls automatically, with pull-through caching to reduce bandwidth costs and improve reliability\n\nFor teams evaluating GitLab as a container registry replacement, this closes a critical capability gap. For teams already managing multi-registry container workflows, it centralizes image management into GitLab and cuts down on repeated pulls.\n\n**What the beta supports today**\n\n* Upstream registries using long-lived token authentication: Docker Hub, Harbor, Quay, and other compatible registries  \n* Pull-through caching so commonly used images are served from GitLab after the first pull  \n* API-first configuration, with UI management in progress++\n\nCloud provider registries requiring IAM authentication (such as Amazon Elastic Container Registry, Google Artifact Registry, and Azure Container Registry) are being considered for future iterations.\n\n**Test it today**\n\n* The Container Virtual Registry is API-ready in 18.9.  \n* SaaS (GitLab.com): Request access through your CSM or by commenting on the feedback issue below to have the feature flag enabled for your group.  \n* Self-managed: Enable the feature flag and configure the virtual registry using the API.\n\n**Documentation**\n\n* [Container Virtual Registry API](https://docs.gitlab.com/api/container_virtual_registries/)  \n* [Pull container images from the virtual registry](https://docs.gitlab.com/user/packages/virtual_registry/container/#pull-container-images-from-the-virtual-registry)\n\n\n Watch this walkthrough of the Container Virtual Registry Beta:\n   \n\n  \u003Ciframe src=\"https://player.vimeo.com/video/1167512082?title=0&byline=0&portrait=0&badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"20260223_Container Virtual Registry Beta_V1\">\u003C/iframe>\u003C\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n  \u003Cbr>\u003C/br>\n\n\n\n**Share your feedback:**\n\n* [Container virtual registry feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/589630)\n\n## Help us build what matters\n\nEveryone in the GitLab community is a contributor. We built these betas based on community requests.\n\n* **CI/CD Job Performance Metrics** came from teams who had no easy way to see when build times started trending in the wrong direction, or which jobs were hurting pipeline reliability.  \n* **Container Virtual Registry** came from enterprise customers managing multiple registries and looking to reduce tool sprawl and bandwidth costs while evaluating GitLab as a central registry.\n\nYour feedback shapes what we create next. Try one or both of these betas, and share your experience in the linked feedback issues.\n\nThis is the first in a series of Core DevOps betas we plan to highlight. More are coming throughout the year, and we hope you’ll help us make them as useful as possible.\n","2026-02-25",[23,9,25],{"featured":12,"template":13,"slug":717},"new-gitlab-metrics-and-registry-features-help-reduce-ci-cd-bottlenecks",{"content":719,"config":726},{"title":720,"description":721,"heroImage":722,"date":714,"category":9,"tags":723},"GitLab Patch Release: 18.9.1, 18.8.5, 18.7.5","Learn more about this patch release for GitLab Community Edition and Enterprise Edition.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749661926/Blog/Hero%20Images/security-patch-blog-image-r2-0506-700x400-fy25_2x.jpg",[724,725],"patch releases","security releases",{"featured":32,"template":13,"externalUrl":727},"https://about.gitlab.com/releases/2026/02/25/patch-release-gitlab-18-9-1-released/",{"content":729,"config":735},{"title":730,"description":731,"heroImage":712,"date":732,"tags":733,"category":9},"GitLab 18.9 released","Read about GitLab Duo Agent Platform self-hosted models now available for cloud licenses, vulnerability resolution with GitLab Duo Agent Platform, and more.","2026-02-19",[9,734],"releases",{"featured":32,"template":13,"externalUrl":736},"https://about.gitlab.com/releases/2026/02/19/gitlab-18-9-released/",{"promotions":738},[739,753,764],{"id":740,"categories":741,"header":743,"text":744,"button":745,"image":750},"ai-modernization",[742],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":746,"config":747},"Get your AI maturity score",{"href":748,"dataGaName":749,"dataGaLocation":245},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":751},{"src":752},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":754,"categories":755,"header":756,"text":744,"button":757,"image":761},"devops-modernization",[9,559],"Are you just managing tools or shipping innovation?",{"text":758,"config":759},"Get your DevOps maturity score",{"href":760,"dataGaName":749,"dataGaLocation":245},"/assessments/devops-modernization-assessment/",{"config":762},{"src":763},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":765,"categories":766,"header":768,"text":744,"button":769,"image":773},"security-modernization",[767],"security","Are you trading speed for security?",{"text":770,"config":771},"Get your security maturity score",{"href":772,"dataGaName":749,"dataGaLocation":245},"/assessments/security-modernization-assessment/",{"config":774},{"src":775},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"header":777,"blurb":778,"button":779,"secondaryButton":784},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":780,"config":781},"Get your free trial",{"href":782,"dataGaName":53,"dataGaLocation":783},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":497,"config":785},{"href":57,"dataGaName":58,"dataGaLocation":783},1772652068568]