AWS 동적 인프라 완전 가이드: Auto Scaling, Spot 인스턴스, IaC로 비용 90% 절감하는 실전 전략

비용 최적화 = Right-sizing + Auto Scaling + Spot Instances
                (적정 크기)     (자동 확장)      (할인 인스턴스)

{
  "LaunchTemplateName": "web-server-template",
  "LaunchTemplateData": {
    "ImageId": "ami-0abcdef1234567890",
    "InstanceType": "t3.medium",
    "KeyName": "my-key-pair",
    "SecurityGroupIds": ["sg-0123456789abcdef0"],
    "UserData": "IyEvYmluL2Jhc2gKeXVtIHVwZGF0ZSAteQp5dW0gaW5zdGFsbCAteSBodHRwZA==",
    "TagSpecifications": [
      {
        "ResourceType": "instance",
        "Tags": [
          {
            "Key": "Environment",
            "Value": "production"
          },
          {
            "Key": "Project",
            "Value": "web-app"
          }
        ]
      }
    ],
    "BlockDeviceMappings": [
      {
        "DeviceName": "/dev/xvda",
        "Ebs": {
          "VolumeSize": 30,
          "VolumeType": "gp3",
          "Encrypted": true
        }
      }
    ]
  }
}

resource "aws_launch_template" "web_server" {
  name_prefix   = "web-server-"
  image_id      = data.aws_ami.amazon_linux_2.id
  instance_type = "t3.medium"
  key_name      = "my-key-pair"

  vpc_security_group_ids = [aws_security_group.web.id]

  user_data = base64encode(<<-EOF
    #!/bin/bash
    yum update -y
    yum install -y httpd
    systemctl start httpd
    systemctl enable httpd
    echo "Hello from $(hostname)" > /var/www/html/index.html
  EOF
  )

  block_device_mappings {
    device_name = "/dev/xvda"
    ebs {
      volume_size = 30
      volume_type = "gp3"
      encrypted   = true
    }
  }

  tag_specifications {
    resource_type = "instance"
    tags = {
      Environment = "production"
      Project     = "web-app"
    }
  }

  lifecycle {
    create_before_destroy = true
  }
}

resource "aws_autoscaling_policy" "scale_up" {
  name                   = "scale-up"
  autoscaling_group_name = aws_autoscaling_group.web.name
  adjustment_type        = "ChangeInCapacity"
  scaling_adjustment     = 2
  cooldown               = 300
}

resource "aws_cloudwatch_metric_alarm" "high_cpu" {
  alarm_name          = "high-cpu-alarm"
  comparison_operator = "GreaterThanThreshold"
  evaluation_periods  = 2
  metric_name         = "CPUUtilization"
  namespace           = "AWS/EC2"
  period              = 120
  statistic           = "Average"
  threshold           = 80

  dimensions = {
    AutoScalingGroupName = aws_autoscaling_group.web.name
  }

  alarm_actions = [aws_autoscaling_policy.scale_up.arn]
}

resource "aws_autoscaling_policy" "step_scaling" {
  name                   = "step-scaling-policy"
  autoscaling_group_name = aws_autoscaling_group.web.name
  policy_type            = "StepScaling"
  adjustment_type        = "ChangeInCapacity"

  step_adjustment {
    scaling_adjustment          = 1
    metric_interval_lower_bound = 0
    metric_interval_upper_bound = 20
  }

  step_adjustment {
    scaling_adjustment          = 3
    metric_interval_lower_bound = 20
    metric_interval_upper_bound = 40
  }

  step_adjustment {
    scaling_adjustment          = 5
    metric_interval_lower_bound = 40
  }
}

resource "aws_autoscaling_policy" "target_tracking" {
  name                   = "target-tracking-cpu"
  autoscaling_group_name = aws_autoscaling_group.web.name
  policy_type            = "TargetTrackingScaling"

  target_tracking_configuration {
    predefined_metric_specification {
      predefined_metric_type = "ASGAverageCPUUtilization"
    }
    target_value = 70.0
  }
}

# ALB 요청 수 기반 Target Tracking
resource "aws_autoscaling_policy" "target_tracking_alb" {
  name                   = "target-tracking-alb"
  autoscaling_group_name = aws_autoscaling_group.web.name
  policy_type            = "TargetTrackingScaling"

  target_tracking_configuration {
    predefined_metric_specification {
      predefined_metric_type = "ALBRequestCountPerTarget"
      resource_label         = "${aws_lb_target_group.web.arn_suffix}/${aws_lb.web.arn_suffix}"
    }
    target_value = 1000.0
  }
}

resource "aws_autoscaling_policy" "predictive" {
  name                   = "predictive-scaling"
  autoscaling_group_name = aws_autoscaling_group.web.name
  policy_type            = "PredictiveScaling"

  predictive_scaling_configuration {
    metric_specification {
      target_value = 70

      predefined_scaling_metric_specification {
        predefined_metric_type = "ASGAverageCPUUtilization"
        resource_label         = ""
      }

      predefined_load_metric_specification {
        predefined_metric_type = "ASGTotalCPUUtilization"
        resource_label         = ""
      }
    }

    mode                          = "ForecastAndScale"
    scheduling_buffer_time        = 300
    max_capacity_breach_behavior  = "HonorMaxCapacity"
  }
}

resource "aws_autoscaling_group" "web" {
  name                = "web-asg"
  desired_capacity    = 2
  max_size            = 20
  min_size            = 1
  vpc_zone_identifier = [aws_subnet.private_a.id, aws_subnet.private_c.id]

  launch_template {
    id      = aws_launch_template.web_server.id
    version = "$Latest"
  }

  # 기본 쿨다운: 스케일링 액션 후 대기 시간
  default_cooldown = 300

  # 인스턴스 워밍업: 새 인스턴스가 완전히 준비되기까지의 시간
  default_instance_warmup = 120

  health_check_type         = "ELB"
  health_check_grace_period = 300

  tag {
    key                 = "Name"
    value               = "web-server"
    propagate_at_launch = true
  }
}

resource "aws_autoscaling_group" "web_mixed" {
  name                = "web-mixed-asg"
  desired_capacity    = 6
  max_size            = 30
  min_size            = 2
  vpc_zone_identifier = [
    aws_subnet.private_a.id,
    aws_subnet.private_b.id,
    aws_subnet.private_c.id
  ]

  mixed_instances_policy {
    launch_template {
      launch_template_specification {
        launch_template_id = aws_launch_template.web_server.id
        version            = "$Latest"
      }

      override {
        instance_type = "t3.medium"
      }
      override {
        instance_type = "t3a.medium"
      }
      override {
        instance_type = "m5.large"
      }
      override {
        instance_type = "m5a.large"
      }
    }

    instances_distribution {
      on_demand_base_capacity                  = 2
      on_demand_percentage_above_base_capacity = 20
      spot_allocation_strategy                 = "capacity-optimized"
      spot_max_price                           = ""  # 온디맨드 가격까지 허용
    }
  }
}

resource "aws_autoscaling_lifecycle_hook" "launch_hook" {
  name                   = "launch-setup-hook"
  autoscaling_group_name = aws_autoscaling_group.web.name
  lifecycle_transition   = "autoscaling:EC2_INSTANCE_LAUNCHING"
  heartbeat_timeout      = 600
  default_result         = "CONTINUE"

  notification_target_arn = aws_sns_topic.asg_notifications.arn
  role_arn                = aws_iam_role.asg_hook_role.arn
}

resource "aws_autoscaling_lifecycle_hook" "terminate_hook" {
  name                   = "terminate-cleanup-hook"
  autoscaling_group_name = aws_autoscaling_group.web.name
  lifecycle_transition   = "autoscaling:EC2_INSTANCE_TERMINATING"
  heartbeat_timeout      = 300
  default_result         = "CONTINUE"

  notification_target_arn = aws_sns_topic.asg_notifications.arn
  role_arn                = aws_iam_role.asg_hook_role.arn
}

aws ec2 describe-spot-price-history \
  --instance-types m5.xlarge m5a.xlarge m5d.xlarge \
  --product-descriptions "Linux/UNIX" \
  --start-time "2026-03-16T00:00:00" \
  --end-time "2026-03-23T00:00:00" \
  --query 'SpotPriceHistory[*].[InstanceType,AvailabilityZone,SpotPrice,Timestamp]' \
  --output table

#!/bin/bash
# spot-interruption-handler.sh

METADATA_TOKEN=$(curl -s -X PUT \
  "http://169.254.169.254/latest/api/token" \
  -H "X-aws-ec2-metadata-token-ttl-seconds: 21600")

while true; do
  INTERRUPTION=$(curl -s -H "X-aws-ec2-metadata-token: $METADATA_TOKEN" \
    http://169.254.169.254/latest/meta-data/spot/instance-action 2>/dev/null)

  if [ "$INTERRUPTION" != "" ] && echo "$INTERRUPTION" | grep -q "action"; then
    echo "Spot interruption detected! Starting graceful shutdown..."

    # 1. ALB에서 인스턴스 제거 (새 요청 수신 중지)
    INSTANCE_ID=$(curl -s -H "X-aws-ec2-metadata-token: $METADATA_TOKEN" \
      http://169.254.169.254/latest/meta-data/instance-id)

    aws elbv2 deregister-targets \
      --target-group-arn "$TARGET_GROUP_ARN" \
      --targets "Id=$INSTANCE_ID"

    # 2. 진행 중인 요청 완료 대기 (Connection Draining)
    sleep 30

    # 3. 로그 백업
    aws s3 sync /var/log/app/ "s3://my-logs-bucket/spot-terminated/$INSTANCE_ID/"

    # 4. 애플리케이션 정상 종료
    systemctl stop my-app

    echo "Graceful shutdown completed."
    break
  fi

  sleep 5
done

import json
import boto3

ec2 = boto3.client('ec2')
elbv2 = boto3.client('elbv2')
sns = boto3.client('sns')
asg = boto3.client('autoscaling')

def lambda_handler(event, context):
    """
    EventBridge에서 Spot Interruption Warning 이벤트를 수신하여 처리
    """
    detail = event.get('detail', {})
    instance_id = detail.get('instance-id')
    action = detail.get('instance-action')

    print(f"Spot interruption: instance={instance_id}, action={action}")

    # 1. ASG에서 인스턴스를 비정상으로 마킹 (대체 인스턴스 즉시 시작)
    try:
        asg.set_instance_health(
            InstanceId=instance_id,
            HealthStatus='Unhealthy',
            ShouldRespectGracePeriod=False
        )
        print(f"Marked {instance_id} as unhealthy in ASG")
    except Exception as e:
        print(f"ASG health update failed: {e}")

    # 2. SNS 알림 발송
    sns.publish(
        TopicArn='arn:aws:sns:ap-northeast-2:123456789012:spot-alerts',
        Subject=f'Spot Interruption: {instance_id}',
        Message=json.dumps({
            'instance_id': instance_id,
            'action': action,
            'region': event.get('region'),
            'time': event.get('time')
        }, indent=2)
    )

    return {
        'statusCode': 200,
        'body': f'Handled interruption for {instance_id}'
    }

resource "aws_cloudwatch_event_rule" "spot_interruption" {
  name        = "spot-interruption-rule"
  description = "Capture EC2 Spot Instance Interruption Warning"

  event_pattern = jsonencode({
    source      = ["aws.ec2"]
    detail-type = ["EC2 Spot Instance Interruption Warning"]
  })
}

resource "aws_cloudwatch_event_target" "spot_handler_lambda" {
  rule      = aws_cloudwatch_event_rule.spot_interruption.name
  target_id = "spot-interruption-handler"
  arn       = aws_lambda_function.spot_handler.arn
}

resource "aws_spot_fleet_request" "batch_processing" {
  iam_fleet_role                      = aws_iam_role.spot_fleet_role.arn
  target_capacity                     = 10
  terminate_instances_with_expiration = true
  allocation_strategy                 = "capacityOptimized"
  fleet_type                          = "maintain"

  launch_template_config {
    launch_template_specification {
      id      = aws_launch_template.batch.id
      version = "$Latest"
    }

    overrides {
      instance_type     = "c5.xlarge"
      availability_zone = "ap-northeast-2a"
    }
    overrides {
      instance_type     = "c5a.xlarge"
      availability_zone = "ap-northeast-2a"
    }
    overrides {
      instance_type     = "c5.xlarge"
      availability_zone = "ap-northeast-2c"
    }
    overrides {
      instance_type     = "c5a.xlarge"
      availability_zone = "ap-northeast-2c"
    }
    overrides {
      instance_type     = "c6i.xlarge"
      availability_zone = "ap-northeast-2a"
    }
    overrides {
      instance_type     = "c6i.xlarge"
      availability_zone = "ap-northeast-2c"
    }
  }
}

import json
import time

def lambda_handler(event, context):
    """
    API Gateway에서 호출되는 Lambda 함수
    동시 실행: 0 ~ 수천 개까지 자동 스케일링
    """
    start = time.time()

    # 비즈니스 로직
    body = event.get('body', '{}')
    data = json.loads(body) if body else {}

    result = process_request(data)

    duration = (time.time() - start) * 1000
    print(f"Processing took {duration:.2f}ms")

    return {
        'statusCode': 200,
        'headers': {
            'Content-Type': 'application/json',
            'X-Processing-Time': f'{duration:.2f}ms'
        },
        'body': json.dumps(result)
    }

def process_request(data):
    # 실제 비즈니스 로직
    return {'status': 'success', 'data': data}

# 예약 동시성: 이 함수가 사용할 최대 동시 실행 수 확보
resource "aws_lambda_function_event_invoke_config" "example" {
  function_name = aws_lambda_function.api.function_name

  maximum_event_age_in_seconds = 60
  maximum_retry_attempts       = 0
}

# 프로비저닝 동시성: 미리 인스턴스를 따뜻하게 유지 (Cold Start 방지)
resource "aws_lambda_provisioned_concurrency_config" "api" {
  function_name                  = aws_lambda_function.api.function_name
  provisioned_concurrent_executions = 50
  qualifier                      = aws_lambda_alias.live.name
}

resource "aws_ecs_service" "api" {
  name            = "api-service"
  cluster         = aws_ecs_cluster.main.id
  task_definition = aws_ecs_task_definition.api.arn
  desired_count   = 2
  launch_type     = "FARGATE"

  network_configuration {
    subnets          = [aws_subnet.private_a.id, aws_subnet.private_c.id]
    security_groups  = [aws_security_group.ecs.id]
    assign_public_ip = false
  }

  load_balancer {
    target_group_arn = aws_lb_target_group.api.arn
    container_name   = "api"
    container_port   = 8080
  }

  capacity_provider_strategy {
    capacity_provider = "FARGATE"
    weight            = 1
    base              = 2  # 최소 2개는 Fargate 온디맨드
  }

  capacity_provider_strategy {
    capacity_provider = "FARGATE_SPOT"
    weight            = 4  # 추가분의 80%는 Fargate Spot
  }
}

# Fargate Auto Scaling
resource "aws_appautoscaling_target" "ecs" {
  max_capacity       = 20
  min_capacity       = 2
  resource_id        = "service/${aws_ecs_cluster.main.name}/${aws_ecs_service.api.name}"
  scalable_dimension = "ecs:service:DesiredCount"
  service_namespace  = "ecs"
}

resource "aws_appautoscaling_policy" "ecs_cpu" {
  name               = "ecs-cpu-scaling"
  policy_type        = "TargetTrackingScaling"
  resource_id        = aws_appautoscaling_target.ecs.resource_id
  scalable_dimension = aws_appautoscaling_target.ecs.scalable_dimension
  service_namespace  = aws_appautoscaling_target.ecs.service_namespace

  target_tracking_scaling_policy_configuration {
    predefined_metric_specification {
      predefined_metric_type = "ECSServiceAverageCPUUtilization"
    }
    target_value       = 70.0
    scale_in_cooldown  = 300
    scale_out_cooldown = 60
  }
}

# provider.tf
terraform {
  required_version = ">= 1.5.0"

  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
  }

  backend "s3" {
    bucket         = "my-terraform-state-bucket"
    key            = "web-app/terraform.tfstate"
    region         = "ap-northeast-2"
    dynamodb_table = "terraform-lock"
    encrypt        = true
  }
}

provider "aws" {
  region = var.aws_region

  default_tags {
    tags = {
      Environment = var.environment
      ManagedBy   = "terraform"
      Project     = var.project_name
    }
  }
}

# variables.tf
variable "aws_region" {
  default = "ap-northeast-2"
}

variable "environment" {
  default = "production"
}

variable "project_name" {
  default = "web-app"
}

variable "vpc_cidr" {
  default = "10.0.0.0/16"
}

# vpc.tf
resource "aws_vpc" "main" {
  cidr_block           = var.vpc_cidr
  enable_dns_hostnames = true
  enable_dns_support   = true

  tags = {
    Name = "${var.project_name}-vpc"
  }
}

resource "aws_subnet" "public_a" {
  vpc_id                  = aws_vpc.main.id
  cidr_block              = "10.0.1.0/24"
  availability_zone       = "${var.aws_region}a"
  map_public_ip_on_launch = true

  tags = {
    Name = "${var.project_name}-public-a"
    Tier = "public"
  }
}

resource "aws_subnet" "public_c" {
  vpc_id                  = aws_vpc.main.id
  cidr_block              = "10.0.2.0/24"
  availability_zone       = "${var.aws_region}c"
  map_public_ip_on_launch = true

  tags = {
    Name = "${var.project_name}-public-c"
    Tier = "public"
  }
}

resource "aws_subnet" "private_a" {
  vpc_id            = aws_vpc.main.id
  cidr_block        = "10.0.10.0/24"
  availability_zone = "${var.aws_region}a"

  tags = {
    Name = "${var.project_name}-private-a"
    Tier = "private"
  }
}

resource "aws_subnet" "private_c" {
  vpc_id            = aws_vpc.main.id
  cidr_block        = "10.0.11.0/24"
  availability_zone = "${var.aws_region}c"

  tags = {
    Name = "${var.project_name}-private-c"
    Tier = "private"
  }
}

# alb.tf
resource "aws_lb" "web" {
  name               = "${var.project_name}-alb"
  internal           = false
  load_balancer_type = "application"
  security_groups    = [aws_security_group.alb.id]
  subnets            = [aws_subnet.public_a.id, aws_subnet.public_c.id]

  enable_deletion_protection = true

  access_logs {
    bucket  = aws_s3_bucket.alb_logs.bucket
    prefix  = "alb-logs"
    enabled = true
  }
}

resource "aws_lb_target_group" "web" {
  name     = "${var.project_name}-tg"
  port     = 80
  protocol = "HTTP"
  vpc_id   = aws_vpc.main.id

  health_check {
    enabled             = true
    healthy_threshold   = 2
    interval            = 15
    matcher             = "200"
    path                = "/health"
    port                = "traffic-port"
    protocol            = "HTTP"
    timeout             = 5
    unhealthy_threshold = 3
  }

  deregistration_delay = 30

  stickiness {
    type    = "lb_cookie"
    enabled = false
  }
}

resource "aws_lb_listener" "https" {
  load_balancer_arn = aws_lb.web.arn
  port              = "443"
  protocol          = "HTTPS"
  ssl_policy        = "ELBSecurityPolicy-TLS13-1-2-2021-06"
  certificate_arn   = aws_acm_certificate.main.arn

  default_action {
    type             = "forward"
    target_group_arn = aws_lb_target_group.web.arn
  }
}

# asg.tf - 완전한 Mixed Instances ASG
resource "aws_autoscaling_group" "web" {
  name                = "${var.project_name}-asg"
  desired_capacity    = 4
  max_size            = 30
  min_size            = 2
  vpc_zone_identifier = [aws_subnet.private_a.id, aws_subnet.private_c.id]

  target_group_arns         = [aws_lb_target_group.web.arn]
  health_check_type         = "ELB"
  health_check_grace_period = 300
  default_instance_warmup   = 120

  mixed_instances_policy {
    launch_template {
      launch_template_specification {
        launch_template_id = aws_launch_template.web_server.id
        version            = "$Latest"
      }

      override {
        instance_type     = "t3.medium"
        weighted_capacity = "1"
      }
      override {
        instance_type     = "t3a.medium"
        weighted_capacity = "1"
      }
      override {
        instance_type     = "m5.large"
        weighted_capacity = "2"
      }
      override {
        instance_type     = "m5a.large"
        weighted_capacity = "2"
      }
    }

    instances_distribution {
      on_demand_base_capacity                  = 2
      on_demand_percentage_above_base_capacity = 20
      spot_allocation_strategy                 = "capacity-optimized"
    }
  }

  instance_refresh {
    strategy = "Rolling"
    preferences {
      min_healthy_percentage = 80
      instance_warmup        = 120
    }
  }

  tag {
    key                 = "Name"
    value               = "${var.project_name}-web"
    propagate_at_launch = true
  }
}

# Target Tracking 스케일링
resource "aws_autoscaling_policy" "cpu_target" {
  name                   = "cpu-target-tracking"
  autoscaling_group_name = aws_autoscaling_group.web.name
  policy_type            = "TargetTrackingScaling"

  target_tracking_configuration {
    predefined_metric_specification {
      predefined_metric_type = "ASGAverageCPUUtilization"
    }
    target_value = 70.0
  }
}

# Predictive Scaling 추가
resource "aws_autoscaling_policy" "predictive" {
  name                   = "predictive-scaling"
  autoscaling_group_name = aws_autoscaling_group.web.name
  policy_type            = "PredictiveScaling"

  predictive_scaling_configuration {
    metric_specification {
      target_value = 70

      predefined_scaling_metric_specification {
        predefined_metric_type = "ASGAverageCPUUtilization"
        resource_label         = ""
      }

      predefined_load_metric_specification {
        predefined_metric_type = "ASGTotalCPUUtilization"
        resource_label         = ""
      }
    }

    mode                   = "ForecastAndScale"
    scheduling_buffer_time = 300
  }
}

# modules/asg/main.tf
module "web_asg" {
  source = "./modules/asg"

  project_name       = "my-web-app"
  environment        = "production"
  vpc_id             = module.vpc.vpc_id
  private_subnet_ids = module.vpc.private_subnet_ids
  alb_target_group   = module.alb.target_group_arn

  instance_types = ["t3.medium", "t3a.medium", "m5.large"]
  min_size       = 2
  max_size        = 30
  desired_capacity = 4

  spot_percentage    = 80
  on_demand_base     = 2
  target_cpu         = 70

  tags = local.common_tags
}

# state-backend/main.tf (먼저 이것을 로컬에서 apply)
resource "aws_s3_bucket" "terraform_state" {
  bucket = "my-company-terraform-state"

  lifecycle {
    prevent_destroy = true
  }
}

resource "aws_s3_bucket_versioning" "terraform_state" {
  bucket = aws_s3_bucket.terraform_state.id

  versioning_configuration {
    status = "Enabled"
  }
}

resource "aws_s3_bucket_server_side_encryption_configuration" "terraform_state" {
  bucket = aws_s3_bucket.terraform_state.id

  rule {
    apply_server_side_encryption_by_default {
      sse_algorithm = "aws:kms"
    }
  }
}

resource "aws_dynamodb_table" "terraform_lock" {
  name         = "terraform-lock"
  billing_mode = "PAY_PER_REQUEST"
  hash_key     = "LockID"

  attribute {
    name = "LockID"
    type = "S"
  }
}

# 1. 초기화
terraform init

# 2. 코드 검증
terraform validate

# 3. 변경 계획 확인
terraform plan -out=tfplan

# 4. 변경 적용
terraform apply tfplan

# 5. 상태 확인
terraform state list
terraform state show aws_autoscaling_group.web

# 6. 인프라 삭제 (개발 환경)
terraform destroy

import * as cdk from 'aws-cdk-lib'
import * as ec2 from 'aws-cdk-lib/aws-ec2'
import * as elbv2 from 'aws-cdk-lib/aws-elasticloadbalancingv2'
import * as autoscaling from 'aws-cdk-lib/aws-autoscaling'
import * as rds from 'aws-cdk-lib/aws-rds'
import { Construct } from 'constructs'

export class WebAppStack extends cdk.Stack {
  constructor(scope: Construct, id: string, props?: cdk.StackProps) {
    super(scope, id, props)

    // VPC
    const vpc = new ec2.Vpc(this, 'WebVpc', {
      maxAzs: 3,
      natGateways: 2,
      subnetConfiguration: [
        {
          cidrMask: 24,
          name: 'Public',
          subnetType: ec2.SubnetType.PUBLIC,
        },
        {
          cidrMask: 24,
          name: 'Private',
          subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS,
        },
        {
          cidrMask: 24,
          name: 'Isolated',
          subnetType: ec2.SubnetType.PRIVATE_ISOLATED,
        },
      ],
    })

    // ALB
    const alb = new elbv2.ApplicationLoadBalancer(this, 'WebAlb', {
      vpc,
      internetFacing: true,
      vpcSubnets: { subnetType: ec2.SubnetType.PUBLIC },
    })

    // ASG with Mixed Instances
    const asg = new autoscaling.AutoScalingGroup(this, 'WebAsg', {
      vpc,
      vpcSubnets: { subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS },
      mixedInstancesPolicy: {
        instancesDistribution: {
          onDemandBaseCapacity: 2,
          onDemandPercentageAboveBaseCapacity: 20,
          spotAllocationStrategy: autoscaling.SpotAllocationStrategy.CAPACITY_OPTIMIZED,
        },
        launchTemplate: new ec2.LaunchTemplate(this, 'LaunchTemplate', {
          instanceType: ec2.InstanceType.of(ec2.InstanceClass.T3, ec2.InstanceSize.MEDIUM),
          machineImage: ec2.MachineImage.latestAmazonLinux2023(),
          userData: ec2.UserData.custom(`
            #!/bin/bash
            yum update -y
            yum install -y docker
            systemctl start docker
            docker run -d -p 80:8080 my-web-app:latest
          `),
        }),
        launchTemplateOverrides: [
          { instanceType: new ec2.InstanceType('t3.medium') },
          { instanceType: new ec2.InstanceType('t3a.medium') },
          { instanceType: new ec2.InstanceType('m5.large') },
          { instanceType: new ec2.InstanceType('m5a.large') },
        ],
      },
      minCapacity: 2,
      maxCapacity: 30,
      healthCheck: autoscaling.HealthCheck.elb({
        grace: cdk.Duration.seconds(300),
      }),
    })

    // Target Tracking Scaling
    asg.scaleOnCpuUtilization('CpuScaling', {
      targetUtilizationPercent: 70,
      cooldown: cdk.Duration.seconds(300),
    })

    asg.scaleOnRequestCount('RequestScaling', {
      targetRequestsPerMinute: 1000,
    })

    // ALB Listener
    const listener = alb.addListener('HttpsListener', {
      port: 443,
      certificates: [
        elbv2.ListenerCertificate.fromArn(
          'arn:aws:acm:ap-northeast-2:123456789012:certificate/abc-123'
        ),
      ],
    })

    listener.addTargets('WebTarget', {
      port: 80,
      targets: [asg],
      healthCheck: {
        path: '/health',
        interval: cdk.Duration.seconds(15),
        healthyThresholdCount: 2,
        unhealthyThresholdCount: 3,
      },
      deregistrationDelay: cdk.Duration.seconds(30),
    })

    // RDS Multi-AZ
    const database = new rds.DatabaseCluster(this, 'Database', {
      engine: rds.DatabaseClusterEngine.auroraPostgres({
        version: rds.AuroraPostgresEngineVersion.VER_15_4,
      }),
      writer: rds.ClusterInstance.provisioned('Writer', {
        instanceType: ec2.InstanceType.of(ec2.InstanceClass.R6G, ec2.InstanceSize.LARGE),
      }),
      readers: [
        rds.ClusterInstance.provisioned('Reader1', {
          instanceType: ec2.InstanceType.of(ec2.InstanceClass.R6G, ec2.InstanceSize.LARGE),
        }),
      ],
      vpc,
      vpcSubnets: { subnetType: ec2.SubnetType.PRIVATE_ISOLATED },
      storageEncrypted: true,
      deletionProtection: true,
    })

    // ASG에서 RDS 접근 허용
    database.connections.allowDefaultPortFrom(asg)

    // Outputs
    new cdk.CfnOutput(this, 'AlbDnsName', {
      value: alb.loadBalancerDnsName,
      description: 'ALB DNS Name',
    })
  }
}

import * as ecs_patterns from 'aws-cdk-lib/aws-ecs-patterns'

// L3 패턴: ALB + Fargate 서비스를 한 번에
const fargateService = new ecs_patterns.ApplicationLoadBalancedFargateService(
  this,
  'FargateService',
  {
    cluster,
    desiredCount: 2,
    taskImageOptions: {
      image: ecs.ContainerImage.fromRegistry('my-app:latest'),
      containerPort: 8080,
    },
    publicLoadBalancer: true,
    capacityProviderStrategies: [
      { capacityProvider: 'FARGATE', weight: 1, base: 2 },
      { capacityProvider: 'FARGATE_SPOT', weight: 4 },
    ],
  }
)

fargateService.targetGroup.configureHealthCheck({
  path: '/health',
})

import { CodePipeline, CodePipelineSource, ShellStep } from 'aws-cdk-lib/pipelines'

const pipeline = new CodePipeline(this, 'Pipeline', {
  pipelineName: 'WebAppPipeline',
  synth: new ShellStep('Synth', {
    input: CodePipelineSource.gitHub('my-org/my-repo', 'main'),
    commands: ['npm ci', 'npm run build', 'npx cdk synth'],
  }),
})

// 스테이징 환경 배포
pipeline.addStage(
  new WebAppStage(this, 'Staging', {
    env: { account: '123456789012', region: 'ap-northeast-2' },
  })
)

// 프로덕션 환경 배포 (수동 승인 포함)
pipeline.addStage(
  new WebAppStage(this, 'Production', {
    env: { account: '987654321098', region: 'ap-northeast-2' },
  }),
  {
    pre: [new pipelines.ManualApprovalStep('PromoteToProduction')],
  }
)

# Compute Optimizer 권장 사항 조회
aws compute-optimizer get-ec2-instance-recommendations \
  --instance-arns "arn:aws:ec2:ap-northeast-2:123456789012:instance/i-0123456789abcdef0" \
  --query 'instanceRecommendations[*].{
    InstanceArn: instanceArn,
    CurrentType: currentInstanceType,
    Finding: finding,
    Recommendations: recommendationOptions[0].instanceType,
    EstimatedSavings: recommendationOptions[0].estimatedMonthlySavings.value
  }' \
  --output table

# 업무 시간 (월-금 09:00-18:00): 인스턴스 4개
resource "aws_autoscaling_schedule" "scale_up_business_hours" {
  scheduled_action_name  = "scale-up-business"
  autoscaling_group_name = aws_autoscaling_group.web.name
  min_size               = 4
  max_size               = 30
  desired_capacity       = 4
  recurrence             = "0 0 * * 1-5"  # UTC 기준 (KST 09:00)
  time_zone              = "Asia/Seoul"
}

# 야간 (월-금 18:00 이후): 인스턴스 2개
resource "aws_autoscaling_schedule" "scale_down_night" {
  scheduled_action_name  = "scale-down-night"
  autoscaling_group_name = aws_autoscaling_group.web.name
  min_size               = 2
  max_size               = 10
  desired_capacity       = 2
  recurrence             = "0 9 * * 1-5"  # UTC 기준 (KST 18:00)
  time_zone              = "Asia/Seoul"
}

# 주말: 인스턴스 1개
resource "aws_autoscaling_schedule" "scale_down_weekend" {
  scheduled_action_name  = "scale-down-weekend"
  autoscaling_group_name = aws_autoscaling_group.web.name
  min_size               = 1
  max_size               = 5
  desired_capacity       = 1
  recurrence             = "0 0 * * 6"  # 토요일 00:00 KST
  time_zone              = "Asia/Seoul"
}

# 모든 리소스에 비용 추적 태그 적용
locals {
  cost_tags = {
    CostCenter  = "engineering"
    Team        = "platform"
    Project     = "web-app"
    Environment = var.environment
    ManagedBy   = "terraform"
  }
}

# AWS Cost Explorer에서 태그별 비용 분석 활성화
resource "aws_ce_cost_category" "team_costs" {
  name = "TeamCosts"

  rule {
    value = "Platform"
    rule {
      tags {
        key           = "Team"
        values        = ["platform"]
        match_options = ["EQUALS"]
      }
    }
  }

  rule {
    value = "Backend"
    rule {
      tags {
        key           = "Team"
        values        = ["backend"]
        match_options = ["EQUALS"]
      }
    }
  }
}

                    Route 53 (DNS Failover)
                           |
                    CloudFront (CDN)
                           |
                    ALB (Multi-AZ)
                    /              \
            AZ-a (ap-northeast-2a)   AZ-c (ap-northeast-2c)
            +------------------+    +------------------+
            | EC2 (ASG)        |    | EC2 (ASG)        |
            | - Web Server x2  |    | - Web Server x2  |
            |                  |    |                  |
            | RDS (Primary)    |    | RDS (Standby)    |
            | ElastiCache      |    | ElastiCache      |
            +------------------+    +------------------+

resource "aws_route53_health_check" "primary" {
  fqdn              = "app.example.com"
  port               = 443
  type               = "HTTPS"
  resource_path      = "/health"
  failure_threshold  = 3
  request_interval   = 10

  regions = ["us-east-1", "eu-west-1", "ap-southeast-1"]

  tags = {
    Name = "primary-health-check"
  }
}

resource "aws_route53_record" "primary" {
  zone_id = aws_route53_zone.main.zone_id
  name    = "app.example.com"
  type    = "A"

  alias {
    name                   = aws_lb.web.dns_name
    zone_id                = aws_lb.web.zone_id
    evaluate_target_health = true
  }

  failover_routing_policy {
    type = "PRIMARY"
  }

  health_check_id = aws_route53_health_check.primary.id
  set_identifier  = "primary"
}

resource "aws_fis_experiment_template" "spot_interruption" {
  description = "Simulate Spot Instance interruptions"
  role_arn    = aws_iam_role.fis.arn

  stop_condition {
    source = "aws:cloudwatch:alarm"
    value  = aws_cloudwatch_metric_alarm.error_rate.arn
  }

  action {
    name      = "interrupt-spot-instances"
    action_id = "aws:ec2:send-spot-instance-interruptions"

    parameter {
      key   = "durationBeforeInterruption"
      value = "PT2M"
    }

    target {
      key   = "SpotInstances"
      value = "spot-instances-target"
    }
  }

  target {
    name           = "spot-instances-target"
    resource_type  = "aws:ec2:spot-instance"
    selection_mode = "COUNT(2)"

    resource_tag {
      key   = "Environment"
      value = "staging"
    }
  }
}

import boto3
import json
import time

ec2 = boto3.client('ec2')
ssm = boto3.client('ssm')

def lambda_handler(event, context):
    """
    S3 업로드 이벤트 -> EC2 인스턴스 생성 -> 처리 -> 자동 종료
    """
    # S3 이벤트에서 파일 정보 추출
    bucket = event['detail']['bucket']['name']
    key = event['detail']['object']['key']

    print(f"Processing file: s3://{bucket}/{key}")

    # EC2 인스턴스 시작
    user_data = f"""#!/bin/bash
set -e

# 작업 수행
aws s3 cp s3://{bucket}/{key} /tmp/input
python3 /opt/process.py /tmp/input /tmp/output
aws s3 cp /tmp/output s3://{bucket}-processed/{key}

# 작업 완료 후 자기 자신 종료
INSTANCE_ID=$(curl -s http://169.254.169.254/latest/meta-data/instance-id)
aws ec2 terminate-instances --instance-ids $INSTANCE_ID
"""

    response = ec2.run_instances(
        ImageId='ami-0abcdef1234567890',
        InstanceType='c5.xlarge',
        MinCount=1,
        MaxCount=1,
        IamInstanceProfile={
            'Name': 'ec2-processing-role'
        },
        UserData=user_data,
        TagSpecifications=[
            {
                'ResourceType': 'instance',
                'Tags': [
                    {'Key': 'Name', 'Value': f'processor-{key[:20]}'},
                    {'Key': 'Purpose', 'Value': 'batch-processing'},
                    {'Key': 'AutoTerminate', 'Value': 'true'}
                ]
            }
        ],
        InstanceMarketOptions={
            'MarketType': 'spot',
            'SpotOptions': {
                'SpotInstanceType': 'one-time',
                'InstanceInterruptionBehavior': 'terminate'
            }
        }
    )

    instance_id = response['Instances'][0]['InstanceId']
    print(f"Started processing instance: {instance_id}")

    return {
        'statusCode': 200,
        'body': json.dumps({
            'instance_id': instance_id,
            'file': f's3://{bucket}/{key}'
        })
    }

{
  "Comment": "EC2 기반 배치 처리 워크플로우",
  "StartAt": "CreateInstance",
  "States": {
    "CreateInstance": {
      "Type": "Task",
      "Resource": "arn:aws:states:::ec2:runInstances",
      "Parameters": {
        "ImageId": "ami-0abcdef1234567890",
        "InstanceType": "c5.2xlarge",
        "MinCount": 1,
        "MaxCount": 1,
        "IamInstanceProfile": {
          "Name": "batch-processing-role"
        },
        "TagSpecifications": [
          {
            "ResourceType": "instance",
            "Tags": [
              {
                "Key": "Purpose",
                "Value": "step-function-batch"
              }
            ]
          }
        ]
      },
      "ResultPath": "$.instanceInfo",
      "Next": "WaitForInstance"
    },
    "WaitForInstance": {
      "Type": "Wait",
      "Seconds": 60,
      "Next": "CheckInstanceStatus"
    },
    "CheckInstanceStatus": {
      "Type": "Task",
      "Resource": "arn:aws:states:::aws-sdk:ec2:describeInstanceStatus",
      "Parameters": {
        "InstanceIds.$": "States.Array($.instanceInfo.Instances[0].InstanceId)"
      },
      "ResultPath": "$.status",
      "Next": "IsInstanceReady"
    },
    "IsInstanceReady": {
      "Type": "Choice",
      "Choices": [
        {
          "Variable": "$.status.InstanceStatuses[0].InstanceState.Name",
          "StringEquals": "running",
          "Next": "RunProcessing"
        }
      ],
      "Default": "WaitForInstance"
    },
    "RunProcessing": {
      "Type": "Task",
      "Resource": "arn:aws:states:::ssm:sendCommand.sync",
      "Parameters": {
        "DocumentName": "AWS-RunShellScript",
        "InstanceIds.$": "States.Array($.instanceInfo.Instances[0].InstanceId)",
        "Parameters": {
          "commands": ["cd /opt/app && python3 process.py"]
        }
      },
      "ResultPath": "$.processingResult",
      "Next": "TerminateInstance",
      "Catch": [
        {
          "ErrorEquals": ["States.ALL"],
          "Next": "TerminateInstance",
          "ResultPath": "$.error"
        }
      ]
    },
    "TerminateInstance": {
      "Type": "Task",
      "Resource": "arn:aws:states:::aws-sdk:ec2:terminateInstances",
      "Parameters": {
        "InstanceIds.$": "States.Array($.instanceInfo.Instances[0].InstanceId)"
      },
      "End": true
    }
  }
}

# karpenter-nodepool.yaml
apiVersion: karpenter.sh/v1
kind: NodePool
metadata:
  name: batch-processing
spec:
  template:
    spec:
      requirements:
        - key: karpenter.sh/capacity-type
          operator: In
          values: ['spot', 'on-demand']
        - key: node.kubernetes.io/instance-type
          operator: In
          values:
            - c5.xlarge
            - c5a.xlarge
            - c5.2xlarge
            - c6i.xlarge
            - c6i.2xlarge
            - m5.xlarge
            - m5a.xlarge
        - key: topology.kubernetes.io/zone
          operator: In
          values:
            - ap-northeast-2a
            - ap-northeast-2c
      nodeClassRef:
        group: karpenter.k8s.aws
        kind: EC2NodeClass
        name: default
  limits:
    cpu: '100'
    memory: 400Gi
  disruption:
    consolidationPolicy: WhenEmptyOrUnderutilized
    consolidateAfter: 30s
---
apiVersion: karpenter.k8s.aws/v1
kind: EC2NodeClass
metadata:
  name: default
spec:
  amiSelectorTerms:
    - alias: al2023@latest
  subnetSelectorTerms:
    - tags:
        Tier: private
  securityGroupSelectorTerms:
    - tags:
        kubernetes.io/cluster/my-cluster: owned
  instanceProfile: KarpenterNodeInstanceProfile

# batch-job.yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: data-processing-job
spec:
  parallelism: 10
  completions: 100
  backoffLimit: 3
  template:
    metadata:
      labels:
        app: data-processor
    spec:
      containers:
        - name: processor
          image: my-registry/data-processor:v1.2
          resources:
            requests:
              cpu: '2'
              memory: '4Gi'
            limits:
              cpu: '4'
              memory: '8Gi'
          env:
            - name: BATCH_SIZE
              value: '1000'
      restartPolicy: OnFailure
      nodeSelector:
        karpenter.sh/capacity-type: spot
      tolerations:
        - key: 'karpenter.sh/disruption'
          operator: 'Exists'

# ASG 관련 알람
resource "aws_cloudwatch_metric_alarm" "asg_high_cpu" {
  alarm_name          = "asg-high-cpu"
  comparison_operator = "GreaterThanThreshold"
  evaluation_periods  = 3
  metric_name         = "CPUUtilization"
  namespace           = "AWS/EC2"
  period              = 60
  statistic           = "Average"
  threshold           = 85
  alarm_description   = "ASG CPU 사용률이 85%를 초과했습니다"

  dimensions = {
    AutoScalingGroupName = aws_autoscaling_group.web.name
  }

  alarm_actions = [aws_sns_topic.alerts.arn]
  ok_actions    = [aws_sns_topic.alerts.arn]
}

# Spot Interruption 카운트 알람
resource "aws_cloudwatch_metric_alarm" "spot_interruptions" {
  alarm_name          = "spot-interruption-count"
  comparison_operator = "GreaterThanThreshold"
  evaluation_periods  = 1
  metric_name         = "SpotInterruptionCount"
  namespace           = "Custom/SpotMetrics"
  period              = 300
  statistic           = "Sum"
  threshold           = 3
  alarm_description   = "5분 내 스팟 인터럽션이 3회 이상 발생했습니다"

  alarm_actions = [aws_sns_topic.critical_alerts.arn]
}

# ALB 5xx 에러율 알람
resource "aws_cloudwatch_metric_alarm" "alb_5xx" {
  alarm_name          = "alb-5xx-error-rate"
  comparison_operator = "GreaterThanThreshold"
  evaluation_periods  = 2
  threshold           = 5

  metric_query {
    id          = "error_rate"
    expression  = "(errors / requests) * 100"
    label       = "5xx Error Rate"
    return_data = true
  }

  metric_query {
    id = "errors"
    metric {
      metric_name = "HTTPCode_Target_5XX_Count"
      namespace   = "AWS/ApplicationELB"
      period      = 60
      stat        = "Sum"
      dimensions = {
        LoadBalancer = aws_lb.web.arn_suffix
      }
    }
  }

  metric_query {
    id = "requests"
    metric {
      metric_name = "RequestCount"
      namespace   = "AWS/ApplicationELB"
      period      = 60
      stat        = "Sum"
      dimensions = {
        LoadBalancer = aws_lb.web.arn_suffix
      }
    }
  }

  alarm_actions = [aws_sns_topic.critical_alerts.arn]
}

resource "aws_cloudwatch_dashboard" "main" {
  dashboard_name = "web-app-dashboard"

  dashboard_body = jsonencode({
    widgets = [
      {
        type   = "metric"
        x      = 0
        y      = 0
        width  = 12
        height = 6
        properties = {
          metrics = [
            ["AWS/EC2", "CPUUtilization", "AutoScalingGroupName", aws_autoscaling_group.web.name],
            ["AWS/EC2", "NetworkIn", "AutoScalingGroupName", aws_autoscaling_group.web.name],
            ["AWS/EC2", "NetworkOut", "AutoScalingGroupName", aws_autoscaling_group.web.name]
          ]
          period = 300
          stat   = "Average"
          title  = "ASG Metrics"
        }
      },
      {
        type   = "metric"
        x      = 12
        y      = 0
        width  = 12
        height = 6
        properties = {
          metrics = [
            ["AWS/AutoScaling", "GroupDesiredCapacity", "AutoScalingGroupName", aws_autoscaling_group.web.name],
            ["AWS/AutoScaling", "GroupInServiceInstances", "AutoScalingGroupName", aws_autoscaling_group.web.name],
            ["AWS/AutoScaling", "GroupTotalInstances", "AutoScalingGroupName", aws_autoscaling_group.web.name]
          ]
          period = 60
          stat   = "Average"
          title  = "ASG Capacity"
        }
      }
    ]
  })
}

# prometheus-values.yaml (Helm)
prometheus:
  prometheusSpec:
    retention: 15d
    storageSpec:
      volumeClaimTemplate:
        spec:
          storageClassName: gp3
          accessModes: ['ReadWriteOnce']
          resources:
            requests:
              storage: 50Gi

    additionalScrapeConfigs:
      - job_name: karpenter
        kubernetes_sd_configs:
          - role: endpoints
            namespaces:
              names:
                - karpenter
        relabel_configs:
          - source_labels: [__meta_kubernetes_endpoint_port_name]
            regex: http-metrics
            action: keep

grafana:
  adminPassword: 'secure-password'
  persistence:
    enabled: true
    size: 10Gi
  dashboardProviders:
    dashboardproviders.yaml:
      apiVersion: 1
      providers:
        - name: default
          orgId: 1
          folder: ''
          type: file
          options:
            path: /var/lib/grafana/dashboards/default