AWS Fargate 是一种无服务器计算引擎，可以用于托管 Docker 容器。它可以与 AWS 的容器编排服务 ECS 或批处理服务 Batch 结合使用。

使用 AWS Fargate 与 ECS 相关联时，可以跳过管理 EC2 实例集群的复杂性，因为 AWS Fargate 会自动管理 EC2 实例。同时，使用 ECS 可以实现高度可扩展的应用程序，并使部署和升级过程更加简单。以下是一个使用 AWS Fargate 和 ECS 部署 Docker 容器的例子，其中 app 为容器名称，my_vpc 为虚拟私有云名称，my_cluster 为 ECS 集群名称：

resource "aws_ecs_task_definition" "app" {
  family                   = "app"
  container_definitions    = jsonencode([
    {
      name                  = "app"
      image                 = "nginx:latest"
      portMappings          = [
        {
          containerPort     = 80
          hostPort          = 80
        },
      ]
      memoryReservation     = 256
      cpu                   = 256
    },
  ])
}

resource "aws_ecs_service" "app" {
  name                = "app"
  cluster             = "my_cluster"
  desired_count       = 2
  task_definition     = aws_ecs_task_definition.app.arn
  launch_type         = "FARGATE"

  network_configuration {
    security_groups   = [aws_security_group.app.id]
    subnets           = aws_subnet.public.*.id
    assign_public_ip  = true
  }

  load_balancer {
    target_group_arn  = aws_lb_target_group.app.arn
    container_name    = "app"
    container_port    = "80"
  }
}

resource "aws_security_group" "app" {
  name_prefix = "app"

  ingress {
    from_port       = 80
    to_port         = 80
    protocol        = "tcp"
    cidr_blocks     = ["0.0.0.0/0"]
  }
}

resource "aws_lb_target_group" "app" {
  port        = 80
  protocol    = "HTTP"
  vpc_id      = "my_vpc"

  health_check {
    path        = "/healthcheck"
    matcher     = "200-299"
  }
}

resource "aws_lb_listener" "app" {
  load_balancer_arn = aws_lb.app.arn
  port              = "80