Configuring the Remote Backend to use Azure Storage with Terraform. Must be unique within the storage service the container is located. Can be either blob, container or private. Deploying a Static Website to Azure Storage with Terraform and Azure DevOps 15 minute read This week I’ve been working on using static site hosting more as I continue working with Blazor on some personal projects.. My goal is to deploy a static site to Azure, specifically into an Azure Storage account to host my site, complete with Terraform for my infrastructure as code. A remote backend which can be better governed. In a previous post we’ve looked at how to build Azure infrastructure with Terraform and handle sensitive secrets by storing them within Vault and looking them up at run time. Again, notice the use of _FeedServiceCIBuild as the root of where the terraform command will be executed. storage_account_name - (Required) Specifies the storage account in which to create the storage container. We could have included the necessary configuration (storage account, container, resource group, and storage key) in the backend block, but I want to version-control this Terraform file so collaborators (or future me) know that the remote state is being stored. provider "azurerm" { # The "feature" block is required for AzureRM provider 2.x. Your email address will not be published. resource_group_name - (Required) The name of the resource group in which to Published 3 days ago. In a previous post we’ve looked at how to build Azure infrastructure with Terraform and handle sensitive secrets by storing them within Vault and looking them up at run time. The last param named key value is the name of the blob that will hold Terraform state. container_access_type - (Required) The ‘interface’ for access the container provides. You need to change resource_group_name, storage_account_name and container_name to reflect your config. main.tf Get AzureRM Terraforn Provider provider "azurerm" { version = "2.31.1" #Required for WVD features {} } terraform { backend "azurerm" { storage_account_name = "vffwvdtfstate" container_name = "tfstate" key = "terraform.tfstate" resource_group_name = "VFF-USE-RG-WVD-REMOTE" } } Create "Pooled" WVD Host Pool resource "azurerm… name - (Required) The name of the storage container. This code is also available on my GitHub, here. Here the pipeline uses an Azure CLI task to create an Azure storage account and storage container to store the Terraform … The sample code for the this post is hosted in my GitHub at https://github.com/tinfoilcipher/terraform-remote-backend-vault-example. scope - (Optional) Specifies whether the ACE represents an access entry or a default entry. We need only define the Resource Group, Storage Account and Container Name. Changing this forces a new resource to be created. So go to your Azure portal and create these resources or use your existing ones. Terraform relies on a state file so it can know what has been done and so forth. An ace block supports the following:. When working with Terraform in a team, use of a local file makes Terraform implementation complicated. 2 — The Terraform … The solution? This example provisions a Basic Container. To enable this, select the task for the terraform init command. Only valid for user or group entries. Create a backend.tf file with the following content. storage_service_name - (Required) The name of the storage service within which the storage container should be created.. container_access_type - (Required) The 'interface' for access the container provides. Automated Remote Backend Creation. The Terraform extension will use a storage account in Azure that we define. Manages an Azure Container Service Instance. Warning: Resource targeting is in effect You are creating a plan with the -target option, which means that the result of this plan may not represent all of the changes requested by the current configuration. The following arguments are supported: name - (Required) The name of the storage container. terraform apply –auto-approve does the actual work of creating the resources. In this example I’m using the existing Resource Group tinfoil_storage_rg, my Container is going to be called tfstate and my Storage Account is going to be called tinfoilterraformbackend, this isn’t a great example for a production Storage Account, and if you’re using an environment with a lot of moving parts and multiple states it would serve you better to use some pseudo RNG (in fact the Azure Shell provides this in the form of the $RANDOM function E.G. create the storage container. What you need to do is to add the following code to your Terraform configuration: terraform { backend "azurerm" { storage_account_name = "tfstatexxxxxx" container_name = "tfstate" key = "terraform.tfstate" } } Lets initialise terraform cli. Read more about sensitive data in state. storage … Must be unique within the storage service the container is located. To that end it is essential that states be treated with the utmost care and be available when any action is undertaken, a missing (or incorrect) state could mean the difference between altering or destroying an entire environment. STORAGE_ACCOUNT_NAME=terraform$RANDOM). terraform init is called with the -backend-config switches instructing Terraform to store the state in the Azure Blob storage container that was created at the start of this post. access_key: The storage access key. azurerm_container_group. a Blob Container: In the Storage Account we just created, we need to create a Blob Container — not to be confused with a Docker Container, a Blob Container is more like a folder. In this post, I will go through a recent challenge that I completed where I used HashiCorp Terraform to setup an Azure Function app where the backing code is hosted by a Docker Container. Default value is access.. type - (Required) Specifies the type of entry. Storage Account: Create a Storage Account, any type will do, as long it can host Blob Containers. »Argument Reference The following arguments are supported: name - (Required) The name of the storage container. If azurerm selected, the task will prompt for a service connection and storage account details to use for the backend. Configuring this in any existing Terraform main.tf can be done by adding an additional stanza to the top. Version 2.39.0. When authenticating using the Azure CLI or a Service Principal: When authenticating using Managed Service Identity (MSI): When authenticating using the Access Key associated with the Storage Account: When authenticating using a SAS Token associated with the Storage Account: Adds the Azure Storage Account key as a pipeline variable so that we can use it in the next task; If the Resource Group, Azure Storage Account and container already exist then we still need the Azure Storage Account key so this task needs to be executed during each pipeline run as the following task needs to interact with the Azure Storage account: If you used my script/terraform file to create Azure storage, you need to change only the storage_account_name parameter. Save my name, email, and website in this browser for the next time I comment. A Terraform provider makes API calls to the specified provider, in this case Azure. The task supports automatically creating the resource group, storage account, and container for remote azurerm backend. State files are used by terraform to check what has already been created and ratify what actions should and shouldn’t be taken on the next apply/plan/graph action taken. Must be unique within the storage service the container is located. key: The name of the state store file to be created. The following data is needed to configure the state back end: storage_account_name: The name of the Azure Storage account. Now, you have a storage account and a storage container and you need to make Terraform using this container as a remote backend. Must be unique within the storage service the container is located. The key value is the name of the state file which we will be creating: For the sake of inclusion, the variables.tf and provider.tf are below (these will be critical for completing Vault lookups). Latest Version Version 2.40.0. Here you can see the parameters populated with my values. Manages as an Azure Container Group instance. terraform apply -target = azurerm_storage_container.backups Plan: 4 to add, 0 to change, 0 to destroy. Since secrets are going to end up stored in the state file it is essential that the state files are stored with the following considerations: Azure Storage offers all of these via it’s Containers which allows for the creation of items as BLOBs in an encrypted state with strict access controls with optional soft deletion. This will initialize Terraform to use my Azure Storage Account to store the state information. Argument Reference. Configuring the Remote Backend to use Azure Storage with Terraform. This however still poses a problem if we’re using the default local backend for Terraform; particularly that these secrets will be stored in plain text in the resulting state files and in a local backend they will be absorbed in to source control and visible to any prying eyes. The name of the Azure Storage Account that we will be creating blob storage within: CONTAINER_NAME: The name of the Azure Storage Container in the Azure Blob Storage. Changing this forces a new resource to be created. resource_group_name - (Required) The name of the resource group in which to create the storage container. The following attributes are exported in addition to the arguments listed above: See the source of this document at Terraform.io. Version 2.38.0. Other examples of the azurerm_container_group resource can be found in the ./examples/container-instance directory within the Github Repository. Running terraform apply now prompts for a Vault Token and the Secrets are looked up and written to the State File as expected: However the State File is not written back in to source control as usual, this time we see it is correctly written in to the Azure Storage backend as a new BLOB, just as we have configured: It is obviously critical that the Storage Account and access to the Container are properly permissioned to ensure that only appropriate administrators who can already access the secrets in Vault can access the Azure Storage, otherwise this is all for nothing , Your email address will not be published. Of entry attributes are exported in addition to the top for Azure Cloud Provisioning client. This, select the task supports automatically creating the resource group, storage and... 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