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A tool to bring your existing Azure resources under the management of Terraform.

Azure Terrafy imports the resources that are supported by the Terraform AzureRM provider within a resource group, into the Terraform state, and generates the corresponding Terraform configuration. Both the Terraform state and configuration are expected to be consistent with the resources' remote state, i.e., terraform plan shows no diff. The user then is able to use Terraform to manage these resources.

Precompiled binaries are available at Releases.

go install github.com/Azure/aztfy@latest

There is no special precondtion needed for running aztfy, except that you have access to Azure.

Although aztfy depends on terraform, it is not required to have terraform pre-installed and configured in the PATH before running aztfy. aztfy will ensure a terraform in the following order:

• If there is already a terraform discovered in the PATH whose version >= v0.12, then use it
• Otherwise, if there is already a terraform installed at the aztfy cache directory, then use it
• Otherwise, install the latest terraform from Hashicorp's release to the aztfy cache directory

(The aztfy cache directory is at: "<UserCacheDir>/aztfy")

Follow the authentication guide from the Terraform AzureRM provider to authenticate to Azure.

Then you can go ahead and run aztfy [option] <resource group name>. The tool can run in two modes: interactive mode and batch mode, depending on whether -b is specified.

In interactive mode, aztfy list all the resources resides in the specified resource group. For each resource, user is expected to input the Terraform resource type (e.g. azurerm_linux_virtual_machine). Users can press r to see the possible resource type(s) for the selected import item (though this is not guaranteed to be 100% accurate). In case there is exactly one resource type match for the import item, that resource type will be automatically filled in the text input for the users, with a 💡 line prefix as an indication.

In some cases, there are Azure resources that have no corresponding Terraform resource (e.g. due to lacks of Terraform support), or some resource might be created as a side effect of provisioning another resource (e.g. the Disk resource is created automatically when provisioning a VM). In these cases, you can skip these resources without typing anything.

💡 Option -m can be used to specify a resource mapping file, either constructed manually or from other runs of aztfy (generated in the output directory with name: .aztfyResourceMapping.json).

After going through all the resources to be imported, users press w to instruct aztfy to proceed importing resources into Terraform state and generating the Terraform configuration.

💡 aztfy will run terraform import under the hood to import each resource. Then it will run tfadd to generate the Terraform template for each imported resource. Whereas there are kinds of quirks causing the output of tfadd to be an invalid Terraform template in most cases. aztfy will leverage extra knowledge from the provider (which is generated from the provider codebase) to further manipulate the template, to make it pass the Terraform validations against the provider.

As the last step, aztfy will leverage the ARM template to inject dependencies between each resource. This makes the generated Terraform template to be useful.

In batch mode, instead of interactively specifying the mapping from Azurem resource id to the Terraform resource address, aztfy requires the user to provide that mapping via the resource mapping file (via -m), with the following format:

{
    "<azure resource id1>": "<terraform resource type1>.<terraform resource name>",
    "<azure resource id2>": "<terraform resource type2>.<terraform resource name>",
    ...
}

Example:

{
  "/subscriptions/0-0-0-0/resourceGroups/tfy-vm/providers/Microsoft.Network/virtualNetworks/example-network": "azurerm_virtual_network.res-0",
  "/subscriptions/0-0-0-0/resourceGroups/tfy-vm/providers/Microsoft.Compute/virtualMachines/example-machine": "azurerm_linux_virtual_machine.res-1",
  "/subscriptions/0-0-0-0/resourceGroups/tfy-vm/providers/Microsoft.Network/networkInterfaces/example-nic": "azurerm_network_interface.res-2",
  "/subscriptions/0-0-0-0/resourceGroups/tfy-vm/providers/Microsoft.Network/networkInterfaces/example-nic1": "azurerm_network_interface.res-3",
  "/subscriptions/0-0-0-0/resourceGroups/tfy-vm/providers/Microsoft.Network/virtualNetworks/example-network/subnets/internal": "azurerm_subnet.res-4"
}

Then the tool will import each specified resource in the mapping file (if exists) and skip the others.

In the batch import mode, users can further specify the -k option to make the tool continue even on hitting import error(s) on any resource.

Some Azure resources are modeled differently in AzureRM provider, which means there might be N:M mapping between the Azure resources and the Terraform resources.

For example, the azurerm_lb_backend_address_pool_address is actually a property of azurerm_lb_backend_address_pool, whilst in the AzureRM provider, it has its own resource and a synthetic resource ID as /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Network/loadBalancers/loadBalancer1/backendAddressPools/backendAddressPool1/addresses/address1.

Another popular case is that in the AzureRM provider, there are a bunch of "association" resources, e.g. the azurerm_network_interface_security_group_association. These "association" resources represent the association relationship between two Terraform resources (in this case they are azurerm_network_interface and azurerm_network_security_group). They also have some synthetic resource ID, e.g. /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/microsoft.network/networkInterfaces/example|/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Network/networkSecurityGroups/group1.

Currently, this tool only works on the assumption that there is 1:1 mapping between Azure resources and the Terraform resources.

• The aztfy Github Page: Everything about aztfy, including comparisons with other existing import solutions.
• Kyle Ruddy's Blog about aztfy: A live use of aztfy, explaining the pros and cons.