Terraform-based deployment of almost all Azure Data Services (default deployment settings are in the parenthesis):
- Azure Service Bus (Standard, namespace,topic,subscription, auth. rules)
- Azure Data Lake Storage (ZRS, Hot, Secured, StandardV2)
- Azure Data Factory (w/Git or without)
- Azure Data Factory linked with Data Lake Storage
- Azure Data Factory Pipeline
- Azure DataBricks WorkSpace (Standard)
- Azure EventHub (Standard, namespace)
- Azure Functions (Dynamic, LRS storage, Python, w/App.Insights or without)
- Azure Data Explorer (Kusto, Standard_D11_v2, 2 nodes)
- Azure Analysis Server (backup-enabled, S0, LRS, Standard)
- Azure Event Grid (domain, EventGridSchema)
Properties and content
- 831 strings in total
- Written about 1 year ago, updated a day ago to fix deprecated expressions
- Tested with the latest Terraform 0.13.2 and Azure provider 2.27.0 (in fact, works fine with >=0.12 and Azure provider >= 1.35)
- auth.tf – provider authentication and version settings
- main.tf – a desired Azure infrastructure
- terraform.tfvars – controls deployment settings
- variables.tf – variables list
- outputs.tf – outputs useful information
Deployment settings (excerpt)
#-------------------------------------------------------------- # What should be deployed? #-------------------------------------------------------------- servicebus = true # Azure Service Bus datafactory = true # Azure Data Factory datafactory_git = false # Enable GIT for Data Factory? (don't forget to set Git settings in the Data Factory section) databricks = true # Azure DataBricks eventhub = true # Azure EventHub functions = true # Azure Functions functions_appins = true # Integrate App.Insights with Azure Functions? eventgrid = true # Azure EventGrid kusto = true # Azure Data Explorer (kusto) analysis = true # Azure Analysis Server
Resource block (excerpt)
resource "azurerm_function_app" "rlmvp-svc-function-appins" {
count = var.functions == "true" && var.functions_appins == "true" ? 1 : 0
name = "${var.prefix}function${random_string.rndstr.result}"
location = var.az_region
resource_group_name = azurerm_resource_group.az_rg.name
app_service_plan_id = azurerm_app_service_plan.rlmvp-svc-appplan[count.index].id
storage_account_name = azurerm_storage_account.rlmvp-svc-storacc[count.index].name
storage_account_access_key = azurerm_storage_account.rlmvp-svc-storacc[count.index].primary_access_key
# storage_connection_string = azurerm_storage_account.rlmvp-svc-storacc[count.index].primary_connection_string (deprecated; works though)
app_settings = {
"FUNCTIONS_WORKER_RUNTIME" = var.az_funcapp_runtime
"APPINSIGHTS_INSTRUMENTATIONKEY" = azurerm_application_insights.rlmvp-svc-appins[count.index].instrumentation_key
}
tags = var.az_tags
}
Usage guide
- Open the terraform.tfvars file
- Indicate the “What Should Be Deployed?” section
- Use true/false to set your desired configuration
- Check or change Azure services settings in the appropriate sections (naming convention (prefix/suffix), location, SKUs and etc.)
- Run terraform init to get required Terraform providers
- Run terraform plan to initiate pre-deployment check
- Run terraform apply to start a deployment
- (optional) terraform destroy to delete Azure resources
Requirements
- The script uses Service Principal authentication, so define the subscription ID, client ID, tenand ID and principal secret in the auth.tf (or use another authentication type – Managed Identity, if your CI is running on Azure VMs, for instance)
- If you are going to deploy Analysis Server (enabled, by default), provide valid Azure AD user(s) UPN(s) to set them as administrators of Analysis Server (az_ansrv_users variable, file – terraform.tfvars)
Result
P.S. feel free to share/commit/fork/slam/sell/copy and do anything that your conscience allows you 🙂
