AWS 和 Azure 多云部署：使用 Terraform 配置 VPC、EC2、自动缩放和负载均衡器

由于您没有提供更具体的要求和限制，因此我们无法提供完整的 Terraform 代码。但是，我们可以为您提供一些指导，以帮助您编写相应的 Terraform 代码。

AWS 和 Azure 都提供了强大的基础设施服务，包括虚拟私有云 (VPC)、弹性计算 (EC2)、自动扩展 (Auto Scaling) 和负载均衡器 (Load Balancer)。使用 Terraform 可以轻松地在 AWS 和 Azure 上部署多个云，并配置这些服务。

以下是一些可能需要的 Terraform 资源：

1. VPC 资源

AWS：

resource "aws_vpc" "my_vpc" {
  cidr_block = "10.0.0.0/16"
  tags = {
    Name = "My VPC"
  }
}

resource "aws_subnet" "my_subnet" {
  vpc_id = aws_vpc.my_vpc.id
  cidr_block = "10.0.1.0/24"
  availability_zone = "us-east-1a"
  tags = {
    Name = "My Subnet"
  }
}

Azure：

resource "azurerm_virtual_network" "my_vnet" {
  name                = "MyVNet"
  address_space       = ["10.0.0.0/16"]
  location            = "East US"
  resource_group_name = "MyResourceGroup"
}

resource "azurerm_subnet" "my_subnet" {
  name                 = "MySubnet"
  resource_group_name  = "MyResourceGroup"
  virtual_network_name = azurerm_virtual_network.my_vnet.name
  address_prefix       = "10.0.1.0/24"
}

2. EC2 资源

AWS：

resource "aws_instance" "my_instance" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t2.micro"
  subnet_id     = aws_subnet.my_subnet.id
  tags = {
    Name = "My Instance"
  }
}

Azure：

resource "azurerm_linux_virtual_machine" "my_vm" {
  name                  = "MyVM"
  resource_group_name   = "MyResourceGroup"
  location              = "East US"
  size                  = "Standard_B1s"
  admin_username        = "adminuser"
  network_interface_ids = [azurerm_network_interface.my_nic.id]
  os_disk {
    name              = "MyOsDisk"
    caching           = "ReadWrite"
    storage_account_type = "Standard_LRS"
  }
  source_image_reference {
    publisher = "Canonical"
    offer     = "UbuntuServer"
    sku       = "18.04-LTS"
    version   = "latest"
  }
}

resource "azurerm_network_interface" "my_nic" {
  name                = "MyNIC"
  location            = "East US"
  resource_group_name = "MyResourceGroup"

  ip_configuration {
    name                          = "MyNICConfiguration"
    subnet_id                     = azurerm_subnet.my_subnet.id
    private_ip_address_allocation = "Dynamic"
  }
}

3. Auto Scaling 资源

AWS：

resource "aws_launch_configuration" "my_launch_config" {
  image_id        = "ami-0c55b159cbfafe1f0"
  instance_type  = "t2.micro"
}

resource "aws_autoscaling_group" "my_asg" {
  name                 = "MyASG"
  launch_configuration = aws_launch_configuration.my_launch_config.id
  min_size             = 1
  max_size             = 5
  desired_capacity     = 2
  vpc_zone_identifier  = [aws_subnet.my_subnet.id]
}

Azure：

resource "azurerm_virtual_machine_scale_set" "my_scale_set" {
  name                = "MyScaleSet"
  location            = "East US"
  resource_group_name = "MyResourceGroup"
  sku {
    name     = "Standard_B1s"
    capacity = 2
  }
  virtual_machine_profile {
    network_interface {
      name    = "MyNIC"
      primary = true
    }
    storage_profile {
      os_disk {
        name              = "MyOsDisk"
        caching           = "ReadWrite"
        create_option     = "FromImage"
        managed_disk_type = "Standard_LRS"
      }
    }
    os_profile {
      computer_name_prefix = "MyScaleSet"
      admin_username       = "adminuser"
      linux_configuration {
        disable_password_authentication = true
        ssh_keys {
          key_data = file("~/.ssh/id_rsa.pub")
        }
      }
    }
  }
}

4. 负载均衡器资源

AWS：

resource "aws_lb" "my_lb" {
  name               = "MyLB"
  internal           = false
  load_balancer_type = "application"
  subnets            = [aws_subnet.my_subnet.id]
}

resource "aws_lb_target_group" "my_target_group" {
  name     = "MyTargetGroup"
  port     = 80
  protocol = "HTTP"
  vpc_id   = aws_vpc.my_vpc.id
}

resource "aws_lb_listener" "my_listener" {
  load_balancer_arn = aws_lb.my_lb.id
  port              = "80"
  protocol          = "HTTP"

  default_action {
    target_group_arn = aws_lb_target_group.my_target_group.id
    type             = "forward"
  }
}

Azure：

resource "azurerm_lb" "my_lb" {
  name                = "MyLB"
  resource_group_name = "MyResourceGroup"
  location            = "East US"
  sku                 = "Standard"
}

resource "azurerm_lb_backend_address_pool" "my_backend_pool" {
  name                = "MyBackendPool"
  loadbalancer_id     = azurerm_lb.my_lb.id
  resource_group_name = "MyResourceGroup"
}

resource "azurerm_lb_rule" "my_lb_rule" {
  name                   = "MyLBRule"
  resource_group_name    = "MyResourceGroup"
  loadbalancer_id        = azurerm_lb.my_lb.id
  frontend_ip_configuration_name = "PublicIPAddress"
  frontend_port          = 80
  backend_address_pool_id = azurerm_lb_backend_address_pool.my_backend_pool.id
  protocol               = "Tcp"
}

这些资源只是示例，您可以根据需要进行更改和扩展。在使用 Terraform 部署多个云时，请确保您已经设置了适当的身份验证和凭据，并且已经了解了您的云提供商的计费和使用政策。