Terraform Registry
The Terraform Registry makes it easy to use any provider or module. To use a provider or module from this registry, just add it to your configuration; when you run `terraform init`, Terraform will …
azuread_application_registration - Terraform Registry
id - The Terraform resource ID for the application, for use when referencing this resource in your Terraform configuration. object_id - The object ID of the application within the tenant.
Resources | hashicorp/aws - Terraform Registry
owner_id - The ID of the AWS account that owns the VPC. tags_all - A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block. …
databricks_budget_policy | Resources - Terraform Registry
If you are using an older version of Terraform, import the resource using the terraform import command as follows:
azurerm_private_endpoint | Resources - Terraform Registry
terraform import azurerm_private_endpoint.example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Network/privateEndpoints/endpoint1
Resources | hashicorp/azurerm - Terraform Registry
As Sets are stored using a hash, if one value is added or removed from the Set, Terraform considers the entire list of objects changed and the plan shows that it is removing every value …
azurerm_storage_account | Resources - Terraform Registry
Terraform uses Shared Key Authorisation to provision Storage Containers, Blobs and other items - when Shared Key Access is disabled, you will need to enable the storage_use_azuread flag …
google_cloud_scheduler_job - Terraform Registry
When using the terraform import command, Job can be imported using one of the formats above. For example:
databricks_job | Resources - Terraform Registry
In Terraform configuration, it is recommended to define tasks in alphabetical order of their task_key arguments, so that you get consistent and readable diff. Whenever tasks are added …
azurerm_ai_foundry_project | Resources - Terraform Registry
terraform import azurerm_ai_foundry_project.example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.MachineLearningServices/workspaces/project1