AWS ECS
SkillCloud & infraRun containerized applications with Amazon ECS. Define tasks and services, deploy on Fargate for serverless containers or EC2 for full control. Configure load balancing, auto-scaling, and service discovery for production workloads.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the AWS ECS skill
What this skill tells your AI
The instructions your AI receives, as published by terminalskills/skills in skills/aws-ecs/SKILL.md and read by ahel’s review.
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service. Run Docker containers on Fargate (serverless) or self-managed EC2 instances with deep AWS integration.
Core Concepts
- Cluster — logical grouping of tasks and services
- Task Definition — blueprint for containers (image, CPU, memory, ports, env vars)
- Task — a running instance of a task definition
- Service — maintains desired count of tasks, integrates with ALB
- Fargate — serverless compute for containers, no EC2 management
- ECR — Elastic Container Registry for storing Docker images
Cluster Setup
# Create a Fargate cluster
aws ecs create-cluster --cluster-name app-prod --capacity-providers FARGATE FARGATE_SPOT
Task Definitions
// task-definition.json — web application task
{
"family": "web-app",
"networkMode": "awsvpc",
"requiresCompatibilities": ["FARGATE"],
"cpu": "512",
"memory": "1024",
"executionRoleArn": "arn:aws:iam::123456789:role/ecsTaskExecutionRole",
"taskRoleArn": "arn:aws:iam::123456789:role/ecsTaskRole",
"containerDefinitions": [
{
"name": "web",
"image": "123456789.dkr.ecr.us-east-1.amazonaws.com/web-app:latest",
"portMappings": [{"containerPort": 8080, "protocol": "tcp"}],
"environment": [
{"name": "NODE_ENV", "value": "production"}
],
"secrets": [
{"name": "DATABASE_URL", "valueFrom": "arn:aws:secretsmanager:us-east-1:123456789:secret:db-url"}
],
"logConfiguration": {
"logDriver": "awslogs",
"options": {
"awslogs-group": "/ecs/web-app",
"awslogs-region": "us-east-1",
"awslogs-stream-prefix": "web"
}
},
"healthCheck": {
"command": ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"],
"interval": 30,
"timeout": 5,
"retries": 3
}
}
]
}
# Register task definition
aws ecs register-task-definition --cli-input-json file://task-definition.json
Services
# Create a service with ALB and Fargate
aws ecs create-service \
--cluster app-prod \
--service-name web-app \
--task-definition web-app:1 \
--desired-count 3 \
--launch-type FARGATE \
--network-configuration '{
"awsvpcConfiguration": {
"subnets": ["subnet-aaa", "subnet-bbb"],
"securityGroups": ["sg-0123456789abcdef0"],
"assignPublicIp": "DISABLED"
}
}' \
--load-balancers '[{
"targetGroupArn": "arn:aws:elasticloadbalancing:us-east-1:123456789:targetgroup/web-tg/abc123",
"containerName": "web",
"containerPort": 8080
}]' \
--deployment-configuration '{
"maximumPercent": 200,
"minimumHealthyPercent": 100,
"deploymentCircuitBreaker": {"enable": true, "rollback": true}
}'
# Update service (deploy new image)
aws ecs update-service \
--cluster app-prod \
--service web-app \
--task-definition web-app:2 \
--force-new-deployment
# Scale service
aws ecs update-service \
--cluster app-prod \
--service web-app \
--desired-count 5
Auto Scaling
# Register scalable target
aws application-autoscaling register-scalable-target \
--service-namespace ecs \
--resource-id service/app-prod/web-app \
--scalable-dimension ecs:service:DesiredCount \
--min-capacity 2 \
--max-capacity 20
# Target tracking on CPU
aws application-autoscaling put-scaling-policy \
--service-namespace ecs \
--resource-id service/app-prod/web-app \
--scalable-dimension ecs:service:DesiredCount \
--policy-name cpu-scaling \
--policy-type TargetTrackingScaling \
--target-tracking-scaling-policy-configuration '{
"PredefinedMetricSpecification": {"PredefinedMetricType": "ECSServiceAverageCPUUtilization"},
"TargetValue": 70.0,
"ScaleInCooldown": 300,
"ScaleOutCooldown": 60
}'
ECR (Container Registry)
# Create repository
aws ecr create-repository --repository-name web-app --image-scanning-configuration scanOnPush=true
# Login, build, push
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 123456789.dkr.ecr.us-east-1.amazonaws.com
docker build -t web-app .
docker tag web-app:latest 123456789.dkr.ecr.us-east-1.amazonaws.com/web-app:latest
docker push 123456789.dkr.ecr.us-east-1.amazonaws.com/web-app:latest
Running One-Off Tasks
# Run a migration task
aws ecs run-task \
--cluster app-prod \
--task-definition db-migrate:1 \
--launch-type FARGATE \
--network-configuration '{
"awsvpcConfiguration": {
"subnets": ["subnet-aaa"],
"securityGroups": ["sg-0123456789abcdef0"],
"assignPublicIp": "DISABLED"
}
}' \
--overrides '{
"containerOverrides": [{"name": "migrate", "command": ["npm", "run", "migrate"]}]
}'
Monitoring
# List running tasks
aws ecs list-tasks --cluster app-prod --service-name web-app --desired-status RUNNING
# View task logs
aws logs tail /ecs/web-app --follow --since 1h
Best Practices
- Use Fargate for most workloads to eliminate instance management
- Store secrets in Secrets Manager or Parameter Store, not environment variables
- Enable deployment circuit breaker to auto-rollback failed deployments
- Use awslogs driver for centralized logging in CloudWatch
- Set health checks in both the task definition and target group
- Use Fargate Spot for non-critical background workers (up to 70% savings)
- Pin image tags in production; avoid
latestfor reproducibility
Signals
- GitHub stars
- 148
- Forks
- 18
- Last commit
- Sep 2026
ahel review
S4info
community integration — published by terminalskills, not aws
Automated review, not a security audit. Ruleset v1.
Advanced
- Catalog kind
- skill
- Gateway key
aws-ecs- Source
- github.com/terminalskills/skills