如何使用 terraform 管理 azure api 管理中的所有 API 级别的应用程序洞察力？

Question

I'm managing my azure API management (APIs and policies) by using terraform. Most of the things are working fine and the documentation on https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs is great. But now I need to activate application insights diagnostic logs with verbosity error on All-APIs level. Unfortunately I don't understand how to do that by checking the documentation. Can someone help me how to do that?

This is how it looks like when I set it through the UI.

I hope someone can help

Answer 1

azurerm_api_management_diagnostic should be what you are looking for

resource "azurerm_application_insights" "example" {
  name                = "example-appinsights"
  location            = azurerm_resource_group.example.location
  resource_group_name = azurerm_resource_group.example.name
  application_type    = "web"
}

resource "azurerm_api_management" "example" {
  name                = "example-apim"
  location            = azurerm_resource_group.example.location
  resource_group_name = azurerm_resource_group.example.name
  publisher_name      = "My Company"
  publisher_email     = "company@terraform.io"
  sku_name            = "Developer_1"
}
resource "azurerm_api_management_logger" "example" {
  name                = "example-apimlogger"
  api_management_name = azurerm_api_management.example.name
  resource_group_name = azurerm_resource_group.example.name

  application_insights {
    instrumentation_key = azurerm_application_insights.example.instrumentation_key
  }
}

resource "azurerm_api_management_diagnostic" "example" {
  identifier               = "applicationinsights"
  resource_group_name      = azurerm_resource_group.example.name
  api_management_name      = azurerm_api_management.example.name
  api_management_logger_id = azurerm_api_management_logger.example.id

  sampling_percentage       = 5.0
  always_log_errors         = true
  log_client_ip             = true
  verbosity                 = "Verbose"
  http_correlation_protocol = "W3C"

  frontend_request {
    body_bytes = 32
    headers_to_log = [
      "content-type",
      "accept",
      "origin",
    ]
  }

  frontend_response {
    body_bytes = 32
    headers_to_log = [
      "content-type",
      "content-length",
      "origin",
    ]
  }

  backend_request {
    body_bytes = 32
    headers_to_log = [
      "content-type",
      "accept",
      "origin",
    ]
  }

  backend_response {
    body_bytes = 32
    headers_to_log = [
      "content-type",
      "content-length",
      "origin",
    ]
  }
}