An ML Workspace that Is Private, Isolated and Encrypted with Your Key

The workspace endpoint is public by default, and the managed network compute runs in defaults to Disabled isolation - unrestricted outbound internet from a network that holds training data. Private workspace, outbound isolation on, high-business-impact flag set so less leaves for Microsoft, identity-based storage access, and a customer-managed key; the four dependencies stay yours.

This is the operations reference: version drift, dependants and neighbours. For what the module provisions, its inputs and outputs, and how to download it, see the catalogue entry.

Provider drift

This artifact declares no Terraform provider requirements, so there is nothing to drift. Provider freshness applies to Terraform and OpenTofu modules.

What depends on this

No reference architecture names this module, so changing it affects only configurations that reference it directly.

Nearest alternatives

Same cloud, same category. These are what you would weigh against it without changing provider.

The same job on other clouds

Managed ML Platform on other providers. Useful when the cloud is still open, or when you are pricing a second one. How far a comparison like that can be trusted is covered in comparing clouds.

Installing it

module "azure_machine_learning" {
  source  = "www.iac-bazaar.com/iac-bazaar/azure-machine-learning/azure"
  version = "1.0.0"
}

A registry token is required for the download itself. Installing through the registry protocol has the two credential steps.