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outputs.tf
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outputs.tf
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output "s3_service_connector" {
description = "The S3 service connector that was registered with the ZenML server"
value = data.zenml_service_connector.s3
}
output "ecr_service_connector" {
description = "The ECR service connector that was registered with the ZenML server"
value = data.zenml_service_connector.ecr
}
output "aws_service_connector" {
description = "The generic AWS service connector that was registered with the ZenML server"
value = data.zenml_service_connector.aws
}
output "artifact_store" {
description = "The artifact store that was registered with the ZenML server"
value = data.zenml_stack_component.artifact_store
}
output "container_registry" {
description = "The container registry that was registered with the ZenML server"
value = data.zenml_stack_component.container_registry
}
output "orchestrator" {
description = "The orchestrator that was registered with the ZenML server"
value = data.zenml_stack_component.orchestrator
}
output "step_operator" {
description = "The step operator that was registered with the ZenML server"
value = data.zenml_stack_component.step_operator
}
output "image_builder" {
description = "The image builder that was registered with the ZenML server"
value = data.zenml_stack_component.image_builder
}
output "zenml_stack" {
description = "The ZenML stack that was registered with the ZenML server"
value = data.zenml_stack.stack
}
output "zenml_stack_id" {
description = "The ID of the ZenML stack that was registered with the ZenML server"
value = zenml_stack.stack.id
}
output "zenml_stack_name" {
description = "The name of the ZenML stack that was registered with the ZenML server"
value = zenml_stack.stack.name
}