qingjiao-lab-env

Lab environment provisioning is automated end-to-end by executing a three-step sequence: initializing the registry, registering the image, and binding the course resources. This workflow applies to both container and virtual machine training environments.

The correct sequence to initialize a course lab environment is strictly registry, then image, then resource. Following this order ensures proper platform-level controls for registry, image flavors, and resource definitions are satisfied.

Yes, you can configure both container and virtual machine environments for course training. The skill supports quick configuration and switching between different training types within the course lifecycle.

No, the lab environment workflow does not expose sensitive credentials. It ensures desensitized outputs for sensitive data, providing clear results and masked credentials during create, query, update, or delete actions.

You manage image registry lifecycles using platform-level controls with actions like create, save, list, update, and delete. This applies to initializing registries, registering images, and binding resources.