Learning Loop overview

Learning loop provides preloaded sample datasets across multiple DevOps Loop capabilities. It helps you learn and practice workflows by exploring sample projects, work items, and configurations without starting from an empty setup.

The learning loop, with its preloaded sample data, helps you to explore and understand DevOps Loop features:

  • Understand how events flow between the capabilities. For example, a commit in Control triggers a build in Build and a deployment in Deploy.
  • Provide a consistent end-to-end view of DevOps Loop capabilities for demonstrations, evaluations, and training.
  • Experiment with features and configurations in a non-production environment.

Scope

The sample datasets currently spans the following capabilities of DevOps Loop:

  • Plan: Creates a project with releases, sprints, and work items.
  • Control: Adds a sample file to a repository.
  • Build: Requires a manual step to configure an active agent.
  • Deploy: Maps an agent to a team, sets the license mode to floating, and creates components with predefined configurations.

The learning loop has the following key characteristics:

  • Built for learning and exploration, not for use in production environments.
  • Some manual steps, such as configuring build agents is required.
  • After the sample data is loaded, you can edit or extend it to fit your own configurations.

Limitations

Applications created by sample data are not hosted by DevOps Loop. You must use your own web servers or hosting solutions to test deployed changes.