> ## Documentation Index
> Fetch the complete documentation index at: https://docs.casebender.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Deploy to AWS

> Deploy CaseBender on Amazon Web Services (AWS)

<Warning>
  Reference architecture only. This page is not a production-certified deployment
  procedure and predates the current activation, image-pinning, secret-management,
  and network-isolation baseline. Use the [supported on-premises guide](/en/quickstart)
  or complete an enterprise architecture review before deployment.
</Warning>

## Overview

This guide walks you through deploying CaseBender on AWS using pre-built Docker images with Amazon ECS (Elastic Container Service) and Fargate.

## Prerequisites

1. [AWS Account](https://aws.amazon.com/)
2. [AWS CLI](https://aws.amazon.com/cli/) installed and configured
3. [Docker](https://docs.docker.com/get-docker/) installed

## Step 1: Initial Setup

### Install and Configure AWS CLI

<CodeGroup>
  ```bash macOS theme={null}
  # Using Homebrew
  brew install awscli

  # Configure AWS CLI

  aws configure

  # Configure Docker for ECR

  aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin $(aws sts get-caller-identity --query Account --output text).dkr.ecr.us-east-1.amazonaws.com

  ```

  ```bash Linux theme={null}
  # Install AWS CLI
  curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
  unzip awscliv2.zip
  sudo ./aws/install

  # Configure AWS CLI
  aws configure

  # Configure Docker for ECR
  aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin $(aws sts get-caller-identity --query Account --output text).dkr.ecr.us-east-1.amazonaws.com
  ```

  ```powershell Windows theme={null}
  # Download and run the AWS CLI MSI installer
  # https://awscli.amazonaws.com/AWSCLIV2.msi

  # Configure AWS CLI
  aws configure

  # Configure Docker for ECR
  aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin $(aws sts get-caller-identity --query Account --output text).dkr.ecr.us-east-1.amazonaws.com
  ```
</CodeGroup>

## Step 2: Set Up AWS Infrastructure

### Create S3 Bucket for Storage

```bash theme={null}
# Create S3 bucket
aws s3 create-bucket \
  --bucket casebender-storage \
  --region us-east-1

# Enable versioning (optional)
aws s3api put-bucket-versioning \
  --bucket casebender-storage \
  --versioning-configuration Status=Enabled

# Create IAM user for S3 access
aws iam create-user --user-name casebender-storage-user

# Create and attach policy
aws iam create-policy \
  --policy-name casebender-storage-policy \
  --policy-document '{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "s3:PutObject",
                "s3:GetObject",
                "s3:DeleteObject",
                "s3:ListBucket"
            ],
            "Resource": [
                "arn:aws:s3:::casebender-storage",
                "arn:aws:s3:::casebender-storage/*"
            ]
        }
    ]
}'

# Attach policy to user
aws iam attach-user-policy \
  --user-name casebender-storage-user \
  --policy-arn arn:aws:iam::YOUR_ACCOUNT_ID:policy/casebender-storage-policy

# Create access keys
aws iam create-access-key --user-name casebender-storage-user
```

### Create a VPC

```bash theme={null}
# Create VPC
aws ec2 create-vpc \
  --cidr-block 10.0.0.0/16 \
  --tag-specifications 'ResourceType=vpc,Tags=[{Key=Name,Value=casebender-vpc}]'

# Enable DNS hostnames
aws ec2 modify-vpc-attribute \
  --vpc-id <vpc-id> \
  --enable-dns-hostnames
```

### Create Subnets

```bash theme={null}
# Create public subnets
aws ec2 create-subnet \
  --vpc-id <vpc-id> \
  --cidr-block 10.0.1.0/24 \
  --availability-zone us-east-1a \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=casebender-public-1a}]'

aws ec2 create-subnet \
  --vpc-id <vpc-id> \
  --cidr-block 10.0.2.0/24 \
  --availability-zone us-east-1b \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=casebender-public-1b}]'
```

### Set Up RDS (PostgreSQL)

```bash theme={null}
# Create DB subnet group
aws rds create-db-subnet-group \
  --db-subnet-group-name casebender-db-subnet \
  --db-subnet-group-description "Subnet group for CaseBender RDS" \
  --subnet-ids "<subnet-1-id>" "<subnet-2-id>"

# Create RDS instance
aws rds create-db-instance \
  --db-instance-identifier casebender-db \
  --db-instance-class db.t3.medium \
  --engine postgres \
  --master-username superadmin \
  --master-user-password <your-secure-password> \
  --allocated-storage 20 \
  --db-subnet-group-name casebender-db-subnet
```

### Set Up ElastiCache (Redis)

```bash theme={null}
# Create cache subnet group
aws elasticache create-cache-subnet-group \
  --cache-subnet-group-name casebender-cache-subnet \
  --cache-subnet-group-description "Subnet group for CaseBender Redis" \
  --subnet-ids "<subnet-1-id>" "<subnet-2-id>"

# Create Redis cluster
aws elasticache create-cache-cluster \
  --cache-cluster-id casebender-redis \
  --engine redis \
  --cache-node-type cache.t3.micro \
  --num-cache-nodes 1 \
  --cache-subnet-group-name casebender-cache-subnet
```

## Step 3: Create ECR Repositories

```bash theme={null}
# Create repositories for each service
aws ecr create-repository --repository-name casebender/app
aws ecr create-repository --repository-name casebender/workflow-processor
aws ecr create-repository --repository-name casebender/misp-processor

# Get the AWS account ID
AWS_ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)

# Pull CaseBender images
docker pull casebender/casebender:latest
docker pull casebender/workflow-processor:latest
docker pull casebender/misp-processor:latest

# Tag images for ECR
docker tag casebender/casebender:latest ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/casebender/app:latest
docker tag casebender/workflow-processor:latest ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/casebender/workflow-processor:latest
docker tag casebender/misp-processor:latest ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/casebender/misp-processor:latest

# Push images to ECR
docker push ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/casebender/app:latest
docker push ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/casebender/workflow-processor:latest
docker push ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/casebender/misp-processor:latest
```

## Step 4: Create ECS Cluster

```bash theme={null}
# Create ECS cluster
aws ecs create-cluster --cluster-name casebender-cluster

# Create task execution role
aws iam create-role \
  --role-name ecsTaskExecutionRole \
  --assume-role-policy-document file://task-execution-assume-role.json

# Attach policy
aws iam attach-role-policy \
  --role-name ecsTaskExecutionRole \
  --policy-arn arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy
```

## Step 5: Create Task Definitions

Create task definition JSON files for each service:

```json theme={null}
{
  "family": "casebender-app",
  "networkMode": "awsvpc",
  "requiresCompatibilities": ["FARGATE"],
  "cpu": "1024",
  "memory": "2048",
  "executionRoleArn": "arn:aws:iam::<aws-account-id>:role/ecsTaskExecutionRole",
  "containerDefinitions": [
    {
      "name": "app",
      "image": "<aws-account-id>.dkr.ecr.us-east-1.amazonaws.com/casebender/app:latest",
      "portMappings": [
        {
          "containerPort": 3000,
          "protocol": "tcp"
        }
      ],
      "environment": [
        {
          "name": "POSTGRES_PRISMA_URL",
          "value": "postgresql://superadmin:password@casebender-db.xxxxx.region.rds.amazonaws.com:5432/casebender"
        },
        {
          "name": "REDIS_URL",
          "value": "redis://casebender-redis.xxxxx.region.cache.amazonaws.com:6379"
        },
        {
          "name": "AWS_S3_BUCKET",
          "value": "casebender-storage"
        },
        {
          "name": "AWS_S3_REGION",
          "value": "us-east-1"
        }
      ],
      "secrets": [
        {
          "name": "AUTH_SECRET",
          "valueFrom": "arn:aws:secretsmanager:region:account:secret:auth-secret"
        },
        {
          "name": "AUTH_SALT",
          "valueFrom": "arn:aws:secretsmanager:region:account:secret:auth-salt"
        }
      ],
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/casebender",
          "awslogs-region": "us-east-1",
          "awslogs-stream-prefix": "app"
        }
      }
    }
  ]
}
```

Register the task definitions:

```bash theme={null}
# Register task definitions
aws ecs register-task-definition --cli-input-json file://app-task-definition.json
aws ecs register-task-definition --cli-input-json file://workflow-processor-task-definition.json
aws ecs register-task-definition --cli-input-json file://misp-processor-task-definition.json
```

## Step 6: Create Application Load Balancer

```bash theme={null}
# Create ALB
aws elbv2 create-load-balancer \
  --name casebender-alb \
  --subnets <subnet-1-id> <subnet-2-id> \
  --security-groups <security-group-id>

# Create target group
aws elbv2 create-target-group \
  --name casebender-tg \
  --protocol HTTP \
  --port 3000 \
  --vpc-id <vpc-id> \
  --target-type ip

# Create listener
aws elbv2 create-listener \
  --load-balancer-arn <alb-arn> \
  --protocol HTTPS \
  --port 443 \
  --certificates CertificateArn=<certificate-arn> \
  --default-actions Type=forward,TargetGroupArn=<target-group-arn>
```

## Step 7: Create ECS Services

```bash theme={null}
# Create service for main app
aws ecs create-service \
  --cluster casebender-cluster \
  --service-name casebender-app \
  --task-definition casebender-app \
  --desired-count 2 \
  --launch-type FARGATE \
  --network-configuration "awsvpcConfiguration={subnets=[<subnet-1-id>,<subnet-2-id>],securityGroups=[<security-group-id>],assignPublicIp=ENABLED}" \
  --load-balancers "targetGroupArn=<target-group-arn>,containerName=app,containerPort=3000"

# Create services for processors
aws ecs create-service \
  --cluster casebender-cluster \
  --service-name workflow-processor \
  --task-definition casebender-workflow-processor \
  --desired-count 1 \
  --launch-type FARGATE \
  --network-configuration "awsvpcConfiguration={subnets=[<subnet-1-id>,<subnet-2-id>],securityGroups=[<security-group-id>],assignPublicIp=ENABLED}"

aws ecs create-service \
  --cluster casebender-cluster \
  --service-name misp-processor \
  --task-definition casebender-misp-processor \
  --desired-count 1 \
  --launch-type FARGATE \
  --network-configuration "awsvpcConfiguration={subnets=[<subnet-1-id>,<subnet-2-id>],securityGroups=[<security-group-id>],assignPublicIp=ENABLED}"
```

## Step 8: Set Up Route 53 (Optional)

If you're using a custom domain:

```bash theme={null}
# Create hosted zone (if not exists)
aws route53 create-hosted-zone \
  --name yourdomain.com \
  --caller-reference $(date +%s)

# Create A record
aws route53 change-resource-record-sets \
  --hosted-zone-id <zone-id> \
  --change-batch '{
    "Changes": [{
      "Action": "CREATE",
      "ResourceRecordSet": {
        "Name": "yourdomain.com",
        "Type": "A",
        "AliasTarget": {
          "HostedZoneId": "<alb-hosted-zone-id>",
          "DNSName": "<alb-dns-name>",
          "EvaluateTargetHealth": true
        }
      }
    }]
  }'
```

## Monitoring and Maintenance

### Set Up CloudWatch Alarms

```bash theme={null}
# Create CPU utilization alarm
aws cloudwatch put-metric-alarm \
  --alarm-name casebender-cpu-alarm \
  --alarm-description "CPU utilization exceeded 80%" \
  --metric-name CPUUtilization \
  --namespace AWS/ECS \
  --statistic Average \
  --period 300 \
  --threshold 80 \
  --comparison-operator GreaterThanThreshold \
  --dimensions Name=ClusterName,Value=casebender-cluster \
  --evaluation-periods 2 \
  --alarm-actions <sns-topic-arn>
```

### View Logs

```bash theme={null}
# View service logs
aws logs get-log-events \
  --log-group-name /ecs/casebender \
  --log-stream-name app/<container-id>
```

### Update Services

```bash theme={null}
# Update service with new task definition
aws ecs update-service \
  --cluster casebender-cluster \
  --service casebender-app \
  --task-definition casebender-app:NEW_REVISION
```

## Cost Optimization

1. Use Fargate Spot for non-critical workloads
2. Implement auto-scaling based on metrics
3. Choose appropriate instance sizes
4. Use Reserved Instances for predictable workloads

## Security Best Practices

1. Use AWS Secrets Manager for sensitive data
2. Implement WAF rules
3. Enable VPC Flow Logs
4. Regular security group audits
5. Enable AWS GuardDuty

## Next Steps

* Set up CI/CD pipeline with AWS CodePipeline
* Configure backup strategies
* Implement monitoring and alerting
* Review security best practices