Deployment spaces contain deployable assets, deployments, deployment jobs, associated input and output data, and the associated environments. You can use spaces to deploy various assets and manage your deployments.
Promoting assets to a deployment space
Deployment spaces are not associated with projects. You can promote assets from multiple projects to a space, and you can deploy assets to more than one space. For example, you might have a test space for evaluating deployments, and a production space for deployments that you want to deploy in business applications.
Components of a deployment space
When you open a deployment space from Cloud Pak for Data, you see these components:
-
Overview: Use the Overview tab to view all space activity, such as machine learning and generative AI assets within the deployment space and the status of deployments and jobs.
-
Assets: The Assets tab provides details about assets that are created or imported in the deployment space. You can organize assets by types. For example, the Data access view provides information about connections to DataStax Enterprise, Google BigQuery, Oracle, and more.
-
Deployments: Use the Deployments tab to monitor the status of your deployments in the deployment space. You must promote assets from your project to the deployment space before they can be deployed.
-
Jobs: Use the Jobs tab to monitor jobs that are associated with your batch deployments.
-
Manage: Use the Manage tab to access and edit details about your deployment space. You can share a space with collaborators. When you add collaborators to a deployment space, you can specify which actions they can do by assigning them access levels. You can also create new environments and managing resource usage.
The following graphic shows the elements of a deployment space:
Deployments dashboard
The Deployments dashboard provides an aggregate view of deployment activity available to you across your deployment spaces.
For more information, see Deployments dashboard.