stack_component.md

page_title	subcategory	description
zenml_stack_component Resource - terraform-provider-zenml		Manages a ZenML stack component.

zenml_stack_component (Resource)

Manages a ZenML stack component, which represents a specific piece of infrastructure or service used in a ZenML stack.

Example Usage

resource "zenml_stack_component" "artifact_store" {
  name      = "my-artifact-store"
  type      = "artifact_store"
  flavor    = "gcp"
  workspace = "default"
  
  configuration = {
    path = "gs://my-bucket/artifacts"
  }
  
  # Optional: Connect to a service connector
  connector_id           = "connector-uuid"
  connector_resource_id  = "resource-id"
  
  labels = {
    environment = "production"
  }
}

Argument Reference

• name - (Required) The name of the stack component.
• type - (Required) The type of the stack component (e.g., "artifact_store", "orchestrator"). Must be one of the valid component types supported by ZenML.
• flavor - (Required) The flavor of the stack component (e.g., "local", "gcp", "aws").
• workspace - (Required, Forces new resource) The name of the workspace this component belongs to.
• configuration - (Optional, Sensitive) A map of configuration key-value pairs for the component.
• connector_id - (Optional) The ID of the service connector to use with this component. Must be specified together with connector_resource_id.
• connector_resource_id - (Optional) The ID of the connector resource to use with this component. Must be specified together with connector_id.
• labels - (Optional) A map of labels to associate with the component.

-> Note When using service connectors, both connector_id and connector_resource_id must be specified together. Specifying only one will result in an error.

Attributes Reference

In addition to all arguments above, the following attributes are exported:

• id - The ID of the stack component.

Import

Stack components can be imported using the id, e.g.

$ terraform import zenml_stack_component.example 12345678-1234-1234-1234-123456789012