Assets in deployment spaces
Learn about various asset types that you can use in your deployment spaces and the ways of adding and promoting these assets to a space.
The way to add an asset to a space depends on the asset type. You can add some assets directly to a space. For example, you can add a model that was created outside of Cloud Pak for Data to your deployment space. Other asset types originate in a project and must be transferred from a project to a space. The third class includes asset types that you can add to a space only as a dependency of another asset. These asset types do not display in the Assets tab in the UI.
Note these considerations for importing assets into a space:
- Upon import, some assets are automatically assigned a version number, starting with version 1. This version numbering prevents overwriting existing assets if you import their updated versions later.
- Assets or references that are required to run jobs in the space must be part of the import package, or must be added separately. If you don't add these supporting assets or references, jobs fail.
Asset types that you can directly add to a space
- Connection
- Data asset (from a connection or an uploaded file)
- Model
For more information, see:
- For data assets and connections: Adding data assets to a deployment space
- For models: Importing models into a deployment space
Assets types that are created in projects and can be transferred into a space
- Connection
- Data Refinery flow
- DataStage Build stage
- DataStage Custom stage
- DataStage Data definition
- DataStage flow
- DataStage Function library
- DataStage Java Class library
- DataStage Match specification
- DataStage Operational Decision Manager component
- DataStage subflow
- DataStage Schema library
- DataStage Standardization rule
- DataStage Wrapped stage
- Environment
- Function
- Job
- Parameter set
- Pipeline
- Script
Asset types that can be added to a space only as a dependency
- Hardware Specification
- Package Extension
- Software Specification
- Watson Machine Learning Experiment
- Watson Machine Learning Model Definition
Transferring assets to your deployment space
If your asset is located in a standard Watson Studio project, you can transfer the asset to the deployment space by promoting it.
For more information, see Promoting assets to a deployment space.
If the asset that you want to transfer to a deployment space is a notebook that uses a custom environment, you must transfer the environment as well. In some cases, you must transfer the environment as a separate step. You can locate your custom environment in the Manage tab and then promote it.
You can also import whole spaces and projects into a deployment space. For more information, see:
Learn more
For more information about working with space assets, see:
- Accessing asset details
- Managing asset versions
- Managing AI lifecycle with CPDCTL
- Enabling model tracking with AI factsheets
Parent topic: Deployment spaces