Azure Machine Learning workspace naming convention
The CAF abbreviation for Azure Machine Learning workspace is mlw.
Names can be 3 to 33 characters long and allow alphanumerics, hyphens and underscores.
The name must be unique within the resource group.
Naming rules
| CAF abbreviation | mlw |
|---|---|
| Length | 3 to 33 characters |
| Allowed characters | Alphanumerics (a-z, A-Z, 0-9), hyphens, underscores |
| Scope of uniqueness | Unique within the resource group |
| CAF pattern | mlw-{workload}-{environment}-{region}-{instance} |
Rules follow Microsoft's resource naming rules and CAF abbreviations. Some resource types have extra start/end character restrictions, so verify against the official docs before locking in a convention.
Example names
Generated by the same engine as the name generator, so length and character rules are already applied.
| Scenario | Generated name | Length |
|---|---|---|
| Payments API, production | mlw-payments-prod-eus-001 | 25/33 |
| Web app, development | mlw-webapp-dev-weu-002 | 22/33 |
| Analytics with company prefix | mlw-analytics-stage-uks-001 Dropped company to fit the 33-char limit. | 27/33 |
Naming in Terraform and Bicep
Build the name from variables so one module produces the right name in every environment.
locals {
ml_workspace_name = "mlw-${var.workload}-${var.environment}-${var.region}-001"
}var mlWorkspaceName = 'mlw-${workload}-${environment}-${region}-001'Generate Azure Machine Learning workspace names for your workload
Free, no login. Validation and Terraform, Bicep, or CSV export included.
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See the full list of Azure resource naming rules or read the complete CAF naming guide.