azure - 如何使用 terraform 在 azure api 管理中的所有 API 级别启用应用程序洞察？

Question

我正在使用 terraform 管理我的 azure API 管理(API 和策略)。大多数事情都工作正常，并且文档 https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs是很棒的。但现在我需要在 All-APIs 级别上激活具有详细 error 的应用程序洞察诊断日志。不幸的是，我不明白如何通过检查文档来做到这一点。有人可以帮我怎么做吗？

这就是我通过 UI 设置它时的样子。

希望有人能帮忙🙌

Answer 1

azurerm_api_management_diagnostic应该是您要找的

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     = "<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="c2a1adafb2a3acbb82b6a7b0b0a3a4adb0afecabad" rel="noreferrer noopener nofollow">[email protected]</a>"
  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",
    ]
  }
}