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Version: v0.21

Azure DevOps

Visit Config UI at: http://localhost:4000.

Step 1 - Add Data Connections

On the Connections page, you can select GitHub and create a new connection or it.

Step 1.1 - Authentication


Connection Name

Give your connection a unique name to help you identify it in the future.


Paste your Azure DevOps personal access token (PAT) here. Check Azure's official doc on how to create a PAT. Make sure that the Organization field is set to "All accessible organizations" when creating the PAT.

Test and Save Connection

Click Test Connection, if the connection is successful, click Save Connection to add the connection.

Step 1.2 - Add Data Scopes


Select repositories

Select the repositories you want to collect data from.

Data Entities

Azure DevOps supports the following data entities.

  • CI/CD: builds and jobs.
  • Source Code Management: repositories and their commits.
  • Code Review: pull requests and their commits.

Step 1.3 - Add Scope Config (Optional)

Scope config contains two parts:

  • The entities of which domain you wish to collect: Usually, you don't have to modify this part. However, if you don't want to collect certain Azure DevOps entities, you can unselect some entities to accelerate the collection speed.
    • Source Code Management: Azure repos, refs, commits, etc.
    • Code Review: Azure PRs, PR comments and reviews, etc.
    • CI/CD: Azure pipelines, jobs, etc.
    • Cross Domain: Azure accounts, etc.
  • The transformations on the Azure DevOps data you are going to collect.

The transformations are mainly used for calculating DORA metrics, so DevLake needs to know what are deployments in your Azure Pipelines. You can configure:

- Regex for `Deployments`: Azure DevOps pipeline or one of its jobs whose names match this regex will be registered as deployments in DevLake
- Regex for `Production` environment: Azure DevOps pipeline or one of its jobs whose names match this regex will be considered as a PRODUCTION deployment.


The additional settings for transformations are RefDiff options:

  • Tags Limit: the number of tags to compare.
  • Tags Pattern: Only tags that match the given regex are taken into account.

Step 2 - Collect Data in a Project

Step 2.1 - Create a Project

Collecting Azure DevOps data requires creating a project first. You can visit the Project page from the side menu and create a new project by following the instructions on the user interface.


Step 2.2 - Add a Azure DevOps Connection

You can add a previously configured GitLab connection to the project and select the boards for which you wish to collect the data for. Please note: if you don't see the repositories you are looking for, please check if you have added them to the connection first.


Step 2.3 - Set the Sync Policy

There are three settings for Sync Policy:

  • Data Time Range: You can select the time range of the data you wish to collect. The default is set to the past six months.
  • Sync Frequency: You can choose how often you would like to sync your data in this step by selecting a sync frequency option or entering a cron code to specify your prefered schedule.
  • Skip Failed Tasks: sometime a few tasks may fail in a long pipeline; you can choose to skip them to avoid spending more time in running the pipeline all over again.


Step 2.4 - Start Data Collection

Click on "Collect Data" to start collecting data for the whole project. You can check the status in the Status tab on the same page. collect-data


If you run into any problem, please check the Troubleshooting or create an issue