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Migrate your Classic pipeline to YAML

Azure DevOps Services

Get started with Azure Pipelines by converting your existing Classic pipeline to use YAML. With a YAML-based pipeline, you can implement your CI/CD strategy as code and see its history, compare versions, blame, annotate, and so on.

When you convert your Classic pipeline, the end product is two pipelines. You'll have one new YAML pipeline and a Classic pipeline that can be retired. Your Classic pipeline's run history remains in the Classic pipeline.

Note

You can only export a YAML file from an existing Classic pipeline created with the classic build designer. If you don't see the option to export to JSON or YAML, then your pipeline doesn't support exporting. Classic release pipelines don't have the export to YAML option. You can export a classic release pipeline by exporting each individual task.

Prerequisites

Make sure you have the following items before you begin.

  • An Azure account with an active subscription. Create an account for free.
  • An active Azure DevOps organization. Sign up for Azure Pipelines.
  • A working pipeline that uses the Classic user interface (UI) editor.
  • A sample YAML pipeline file in your code. Create a sample YAML pipeline in the following section.

Create a sample YAML pipeline

Do the following steps to create a sample YAML pipeline, which you'll update later with your exported code from the Classic UI editor.

  1. Sign in to your organization (https://dev.azure.com/{yourorganization}) and select your project.

  2. Select Pipelines, and then New pipeline.

    Two buttons to select for new pipeline creation.

  3. Select the location for your source code as either GitHub or Azure Repos Git.

    List of possible selections for your source code.

  4. Select a repository.

    Page where you select a repository for your source code pipeline.

  5. On the Configure your pipeline page, select Starter pipeline.

    List of templates to choose from for configuring your new pipeline.

  6. Select Save and run.

    Review page where you select Save and run.

  7. Enter your commit message, select Commit directly to the main branch, and then choose Save and run again. A new run starts and it's committed to the repository. Wait for the run to finish.

    Commit message to commit to the main branch, and then select Save and run button.

Export your Classic pipeline

Do the following steps to export your Classic pipeline to a YAML file that you can use in the editor.

  1. Go to Pipelines > Pipelines.

  2. Open your Classic pipeline in the classic build designer.

  3. Select the ellipses (...), and then select Export to YAML.

    Screenshot of context menu, to export your pipeline to YAML.

  4. Open the downloaded YAML file in your code editor.

  5. If your YAML pipeline includes variables defined in the Classic UI, define the variables again in your pipeline settings UI or in your YAML file. For more information, see Define variables.

  6. Review any cron schedules in your YAML file. By default, cron schedules in YAML are in UTC. In Classic pipelines, they are in the organization's timezone. For more information, see Configure schedules for pipelines.

  7. Use the Task Assistant to make any other changes to the YAML file. The Task Assistant is a pane on the right side of the screen, which helps you correctly create and modify YAML steps.

    Configure your pipeline task with Task Assistant.

  8. Save and run your pipeline.

Clean up resources

If you're not going to use this sample pipeline anymore, delete it from your project. Deletion is permanent and includes all builds and associated artifacts.

  1. Select the ellipses (...) and select Delete.

  2. Enter the name of your pipeline to permanently delete it, and then select Delete.

FAQ

Is there a task in YAML pipelines to create work items when there's a build failure?

YAML pipelines don't have a Create work item on failure setting like classic build pipelines. You have a couple of options for creating this functionality yourself.

Next steps

Learn about the feature differences between YAML and Classic pipelines.