Flex Consumption plan - Terraform AzAPI sample | Azure Functions
This Terraform sample deploys deploys a function app and other required resources in a Flex Consumption plan using the AzAPI Terraform provider. When used in an Terraform-based deployment, this Terraform file is used to creates these Azure components:
| Component | Description |
|---|---|
| Function app | This is the serverless Flex Consumption app where you can deploy your functions code. The function app is configured with Application Insights and Storage Account. |
| Function app plan | The Azure Functions app plan associated with your Flex Consumption app. For Flex Consumption there is only one app allowed per plan, but the plan is still required. |
| Application Insights | This is the telemetry service associated with the Flex Consumption app for you to monitor live applications, detect performance anomalies, review telemetry logs, and to understand your app behavior. |
| Log Analytics Workspace | This is the workspace used by Application Insights for the app telemetry. |
| Storage Account | This is the Microsoft Azure storage account that Azure Functions requires when you create a function app instance. A blob container called deploymentpackage is also created in this storage account to be configured as the location for when you deploy to this Flex Consumption app. |
How to deploy it?
Use these steps to deploy using the Terraform file.
1. Modify the parameters file
Create a copy and modify the parameters file variables.tfvars to specify the values for the parameters. The parameters file contains the following parameters that you must specify values for before you can deploy the app:
| Parameter | Description |
|---|---|
| resourceGroupName | the name of the resource group to be created for your app. |
| location | the location where the assets will be created. You can find the supported regions with the az functionapp list-flexconsumption-locations command of the Azure CLI. |
| applicationInsightsName | a unique name for the Application Insights instance. |
| logAnalyticsName | a unique name for the Log Analytics Workspace. |
| functionAppName | a unique name for the Flex Consumption app instance. |
| functionPlanName | a unique name for the Flex Consumption app plan. |
| storageAccountName | a unique name for the storage account. |
| functionAppRuntime | The runtime of the Flex Consumption app that you plan to deploy. One of the following values: dotnet-isolated, python, java, node, powershell. |
| functionAppRuntimeVersion | The runtime and version of the Flex Consumption app that you plan to deploy One of the following values: 3.10, 3.11, 7.4, 8.0, 9.0, 10, 11, 17, 20, 21, 22. |
| zoneRedundant | Whether the app is zone redundant or not. |
Here is an example variables.tfvars that you can modify:
subscriptionId = "00000000-0000-0000-0000-000000000000"
resourceGroupName = "fcthitf"
location = "eastasia"
applicationInsightsName = "fcthitfai"
functionAppName = "fcthitfapp"
functionPlanName = "fcthitfplan"
logAnalyticsName = "fcthitflog"
storageAccountName = "fcthitfstor"
functionAppRuntime = "dotnet-isolated"
functionAppRuntimeVersion = "9.0"
zoneRedundant = false
2. Deploy the Terraform file
Before you can deploy this app, you need a way to deploy Terraform files. For example, you can use the Terraform CLI.
For example, if you created a variablescopy.tfvars file with your parameter values, you can deploy the app by running the following command:
terraform init -upgrade
terraform plan -var-file="variablescopy.tfvars" -out main.tfplan
terraform apply main.tfplan
Once deployed you should see the services created on Azure:
