Resource Definitions

Driver

Capability

Flavor

Resource Type

Runner Pod Configuration

The Terraform Driver can be configured to execute the Terraform scripts as part of a Kubernetes Job execution in a target Kubernetes cluster, instead of in the Humanitec infrastructure. In this case, you must supply access data to the cluster to the Humanitec Platform Orchestrator.

The examples in this section show how to provide those data by referencing a k8s-cluster Resource Definition as part of the non-secret and secret fields of the runner object in the azure-blob-account Resource Definition based on the Terraform Driver. They also provide an example of how to apply labels to the Runner Pod and make it able to run with an Azure Workload Identity getting rid of the need of explicitly setting Azure credentials in the Resource Definition or using a Driver Account.

  • k8s-cluster-refs.tf: provides a connection to an AKS cluster .
  • azure-blob-account.tf: uses runner configuration to run the Terraform Runner in the external cluster specified by k8s-cluster-refs.tf and provision an azure blob account . It configures the Runner to run Terraform scripts from a private Git repository where an Terraform azurerm backend . Neither a driver account or secret credentials are used here as the runner pod is configured to run with a workload identity associated to the specify service account via runner.runner_pod_template property.

Resource Definitions

azure-blob-account.tf ( view on GitHub ) :

resource "humanitec_resource_definition" "azure_blob_account" {
  driver_type = "humanitec/terraform"
  id          = "azure-blob-account-basic"
  name        = "azure-blob-account-basic"
  type        = "azure-blob-account"

  driver_inputs = {
    secrets_string = jsonencode({
      # Secret info of the cluster where the Terraform Runner should run.
      # This references a k8s-cluster resource that will be matched by class `runner`.
      runner = jsonencode({
        credentials = "$${resources['k8s-cluster.runner'].outputs.credentials}"
      })

      source = {
        ssh_key = var.ssh_key
      }
    })

    values_string = jsonencode({
      append_logs_to_error = true

      # This instructs the driver that the Runner must be run in an external cluster.
      runner_mode = "custom-kubernetes"
      # Non-secret info of the cluster where the Terraform Runner should run.
      # This references a k8s-cluster resource that will be matched by class `runner`.
      runner = {
        cluster_type = "aks"
        cluster = {
          region                   = "$${resources['k8s-cluster.runner'].outputs.region}"
          name                     = "$${resources['k8s-cluster.runner'].outputs.name}"
          loadbalancer             = "$${resources['k8s-cluster.runner'].outputs.loadbalancer}"
          loadbalancer_hosted_zone = "$${resources['k8s-cluster.runner'].outputs.loadbalancer_hosted_zone}"
        }
        # Service Account created following: https://developer.humanitec.com/integration-and-extensions/drivers/generic-drivers/terraform/#runner-object
        # In this example, the Service Account needs to be annotated to specify the Microsoft Entra application client ID to be used with the pod: https://learn.microsoft.com/en-us/azure/aks/workload-identity-overview?tabs=dotnet#service-account-labels-and-annotations
        service_account = "humanitec-tf-runner-sa"
        namespace       = "humanitec-tf-runner"
        # This instructs the driver that the Runner pod must run with a workload identity.
        runner_pod_template = <<EOT
metadata:
  labels:
    azure.workload.identity/use: "true"
EOT
      }

      # Connection information to the Git repo containing the Terraform code.
      # It will provide a backend configuration initialized via Environment Variables.
      source = {
        path = "modules/azure-blob-account/basic"
        rev  = var.resource_packs_azure_rev
        url  = var.resource_packs_azure_url
      }
      variables = {
        res_id = "$${context.res.id}"
        app_id = "$${context.app.id}"
        env_id = "$${context.env.id}"

        subscription_id          = var.subscription_id
        resource_group_name      = var.resource_group_name
        name                     = var.name
        prefix                   = var.prefix
        account_tier             = var.account_tier
        account_replication_type = var.account_replication_type
      }
    })
  }
}

k8s-cluster-refs.tf ( view on GitHub ) :

resource "humanitec_resource_definition" "aks_aad_resource_cluster" {
  id          = "aad-enabled-cluster"
  name        = "aad-enabled-cluster"
  type        = "k8s-cluster"
  driver_type = "humanitec/k8s-cluster-aks"

  driver_inputs = {
    secrets_string = jsonencode({
      credentials = {
        appId       = var.app_id
        displayName = var.display_name
        password    = var.password
        tenant      = var.tenant
      }
      }
    )

    values_string = jsonencode({
      name            = "my-cluster"
      resource_group  = "my-azure-resource-group"
      subscription_id = "123456-1234-1234-1234-123456789"
      server_app_id   = "6dae42f8-4368-4678-94ff-3960e28e3630"
    })
  }
}


resource "humanitec_resource_definition_criteria" "aks_aad_resource_cluster" {
  resource_definition_id = humanitec_resource_definition.aks_aad_resource_cluster.id
  class                  = "runner"
}