83 lines
5.1 KiB
Markdown
83 lines
5.1 KiB
Markdown
---
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stage: Release
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group: Release
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
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---
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# CI/CD Analytics
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## Pipeline success and duration charts **(FREE)**
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> - Introduced in GitLab 3.1.1 as Commit Stats, and later renamed to Pipeline Charts.
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> - [Renamed](https://gitlab.com/gitlab-org/gitlab/-/issues/38318) to CI/CD Analytics in GitLab 12.8.
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GitLab tracks the history of your pipeline successes and failures, as well as how long each pipeline
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ran. To view this information, go to **Analytics > CI/CD Analytics**.
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View successful pipelines:
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![Successful pipelines](img/pipelines_success_chart.png)
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View pipeline duration history:
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![Pipeline duration](img/pipelines_duration_chart.png)
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## DevOps Research and Assessment (DORA) key metrics **(ULTIMATE)**
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> - [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/275991) in GitLab 13.7.
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> - Added support for [lead time for changes](https://gitlab.com/gitlab-org/gitlab/-/issues/291746) in GitLab 13.10.
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Customer experience is a key metric. Users want to measure platform stability and other
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post-deployment performance KPIs, and set targets for customer behavior, experience, and financial
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impact. Tracking and measuring these indicators solves an important pain point. Similarly, creating
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views that manage products, not projects or repositories, provides users with a more relevant data set.
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Since GitLab is a tool for the entire DevOps life-cycle, information from different workflows is
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integrated and can be used to measure the success of the teams.
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The DevOps Research and Assessment ([DORA](https://cloud.google.com/blog/products/devops-sre/the-2019-accelerate-state-of-devops-elite-performance-productivity-and-scaling))
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team developed four key metrics that the industry has widely adopted. You can use these metrics as
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performance indicators for software development teams:
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- Deployment frequency: How often an organization successfully releases to production.
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- Lead time for changes: The amount of time it takes for code to reach production.
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- Change failure rate: The percentage of deployments that cause a failure in production.
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- Time to restore service: How long it takes an organization to recover from a failure in
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production.
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### Supported metrics in GitLab
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The following table shows the supported metrics, at which level they are supported, and which GitLab version (API and UI) they were introduced:
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| Metric | Level | API version | Chart (UI) version | Comments |
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| --------------- | ----------- | --------------- | ---------- | ------- |
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| `deployment_frequency` | Project-level | [13.7+](../../api/dora/metrics.md) | [13.8+](#deployment-frequency-charts) | The [old API endopint](../../api/dora4_project_analytics.md) was [deprecated](https://gitlab.com/gitlab-org/gitlab/-/issues/323713) in 13.10. |
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| `deployment_frequency` | Group-level | [13.10+](../../api/dora/metrics.md) | To be supported | |
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| `lead_time_for_changes` | Project-level | [13.10+](../../api/dora/metrics.md) | To be supported | Unit in seconds. Aggregation method is median. |
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| `lead_time_for_changes` | Group-level | [13.10+](../../api/dora/metrics.md) | To be supported | Unit in seconds. Aggregation method is median. |
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| `change_failure_rate` | Project/Group-level | To be supported | To be supported | |
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| `time_to_restore_service` | Project/Group-level | To be supported | To be supported | |
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### Deployment frequency charts **(ULTIMATE)**
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> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/275991) in GitLab 13.8.
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The **Analytics > CI/CD Analytics** page shows information about the deployment frequency to the
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`production` environment. The environment **must** be named `production` for its deployment
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information to appear on the graphs.
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![Deployment frequency](img/deployment_frequency_chart_v13_8.png)
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### Lead time charts **(ULTIMATE)**
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> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/250329) in GitLab 13.11.
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The charts in the **Lead Time** tab show information about how long it takes
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merge requests to be deployed to a production environment.
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![Lead time](img/lead_time_chart_v13_11.png)
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Smaller values are better. Small lead times indicate fast, efficient deployment
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processes.
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For time periods in which no merge requests were deployed, the charts render a
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red, dashed line.
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