Azure Data Factory Integration Runtime Managed

This page shows how to write Terraform and Azure Resource Manager for Data Factory Integration Runtime Managed and write them securely.

azurerm_data_factory_integration_runtime_managed (Terraform)

The Integration Runtime Managed in Data Factory can be configured in Terraform with the resource name azurerm_data_factory_integration_runtime_managed. The following sections describe 3 examples of how to use the resource and its parameters.

Example Usage from GitHub

main.tf#L7
resource "azurerm_data_factory_integration_runtime_managed" "this" {
  data_factory_name                = var.data_factory_name
  description                      = var.description
  edition                          = var.edition
  license_type                     = var.license_type
  location                         = var.location
main.tf#L7
resource "azurerm_data_factory_integration_runtime_managed" "this" {
  data_factory_name                = var.data_factory_name
  description                      = var.description
  edition                          = var.edition
  license_type                     = var.license_type
  location                         = var.location
main.tf#L21
resource "azurerm_data_factory_integration_runtime_managed" "main" {
  name                             = var.data_factory_runtime_name
  data_factory_name                = azurerm_data_factory.main.name
  resource_group_name              = data.azurerm_resource_group.main.name
  location                         = data.azurerm_resource_group.main.location
  node_size                        = var.node_size

Review your Terraform file for Azure best practices

Shisho Cloud, our free checker to make sure your Terraform configuration follows best practices, is available (beta).

Parameters

Explanation in Terraform Registry

Manages an Azure Data Factory Managed Integration Runtime.

NOTE: The azurerm_data_factory_integration_runtime_managed resource has been superseded by the azurerm_data_factory_integration_runtime_azure_ssis resource. The existing azurerm_data_factory_integration_runtime_managed resource will be deprecated (but still available) in version 3.0 of the AzureRM Terraform Provider - we recommend using the azurerm_data_factory_integration_runtime_azure_ssis resource for new deployments.

Tips: Best Practices for The Other Azure Data Factory Resources

In addition to the azurerm_data_factory, Azure Data Factory has the other resources that should be configured for security reasons. Please check some examples of those resources and precautions.

risk-label

azurerm_data_factory

Ensure to disable public access

It is better to disable public access for Data Factory, which is enabled as default.

Review your Azure Data Factory settings

In addition to the above, there are other security points you should be aware of making sure that your .tf files are protected in Shisho Cloud.

Microsoft.DataFactory/factories/integrationruntimes (Azure Resource Manager)

The factories/integrationruntimes in Microsoft.DataFactory can be configured in Azure Resource Manager with the resource name Microsoft.DataFactory/factories/integrationruntimes. The following sections describe how to use the resource and its parameters.

Example Usage from GitHub

An example could not be found in GitHub.

Frequently asked questions

What is Azure Data Factory Integration Runtime Managed?

Azure Data Factory Integration Runtime Managed is a resource for Data Factory of Microsoft Azure. Settings can be wrote in Terraform.

Where can I find the example code for the Azure Data Factory Integration Runtime Managed?

For Terraform, the niveklabs/azurerm, kevinhead/azurerm and microsoft/cobalt source code examples are useful. See the Terraform Example section for further details.