Skip to main content AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.
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AWS ECS
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service. Run containers on AWS Fargate (serverless) or EC2 instances.
Table of Contents
Core Concepts
Cluster
Logical grouping of tasks or services. Can contain Fargate tasks, EC2 instances, or both.
Task Definition
Blueprint for your application. Defines containers, resources, networking, and IAM roles.
Task
Running instance of a task definition. Can run standalone or as part of a service.
Service
Maintains desired count of tasks. Handles deployments, load balancing, and auto scaling.
Launch Types
Type Description Use Case Fargate Serverless, pay per task
EC2 Self-managed instances GPU, Windows, specific requirements
Common Patterns
Create a Fargate Cluster # Create cluster
aws ecs create-cluster --cluster-name my-cluster
# With capacity providers
aws ecs create-cluster \
--cluster-name my-cluster \
--capacity-providers FARGATE FARGATE_SPOT \
--default-capacity-provider-strategy \
capacityProvider=FARGATE,weight=1 \
capacityProvider=FARGATE_SPOT,weight=1
Register Task Definition cat > task-definition.json << 'EOF'
{
"family": "web-app",
"networkMode": "awsvpc",
"requiresCompatibilities": ["FARGATE"],
"cpu": "256",
"memory": "512",
"executionRoleArn": "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
"taskRoleArn": "arn:aws:iam::123456789012:role/ecsTaskRole",
"containerDefinitions": [
{
"name": "web",
"image": "123456789012.dkr.ecr.us-east-1.amazonaws.com/my-app:latest",
"portMappings": [
{
"containerPort": 8080,
"protocol": "tcp"
}
],
"environment": [
{"name": "NODE_ENV", "value": "production"}
],
"secrets": [
{
"name": "DB_PASSWORD",
"valueFrom": "arn:aws:secretsmanager:us-east-1:123456789012:secret:db-password"
}
],
"logConfiguration": {
"logDriver": "awslogs",
"options": {
"awslogs-group": "/ecs/web-app",
"awslogs-region": "us-east-1",
"awslogs-stream-prefix": "ecs",
"mode": "non-blocking",
"max-buffer-size": "25m"
}
},
"healthCheck": {
"command": ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"],
"interval": 30,
"timeout": 5,
"retries": 3,
"startPeriod": 60
}
}
]
}
EOF
aws ecs register-task-definition --cli-input-json file://task-definition.json
Create Service with Load Balancer aws ecs create-service \
--cluster my-cluster \
--service-name web-service \
--task-definition web-app:1 \
--desired-count 2 \
--launch-type FARGATE \
--network-configuration "awsvpcConfiguration={
subnets=[subnet-12345678,subnet-87654321],
securityGroups=[sg-12345678],
assignPublicIp=DISABLED
}" \
--load-balancers "targetGroupArn=arn:aws:elasticloadbalancing:us-east-1:123456789012:targetgroup/web-tg/1234567890123456,containerName=web,containerPort=8080" \
--health-check-grace-period-seconds 60 \
--deployment-configuration "deploymentCircuitBreaker={enable=true,rollback=true}"
Run Standalone Task aws ecs run-task \
--cluster my-cluster \
--task-definition my-batch-job:1 \
--launch-type FARGATE \
--network-configuration "awsvpcConfiguration={
subnets=[subnet-12345678],
securityGroups=[sg-12345678],
assignPublicIp=ENABLED
}"
Update Service (Deploy New Image) # Register new task definition with updated image
aws ecs register-task-definition --cli-input-json file://task-definition.json
# Update service to use new version
aws ecs update-service \
--cluster my-cluster \
--service web-service \
--task-definition web-app:2 \
--force-new-deployment
Fargate Spot with SQS-Based Scaling Use FARGATE_SPOT for batch/queue workloads to cut costs ~70%. Always include a fallback to regular FARGATE.
# Create service with Spot + fallback
aws ecs create-service \
--cluster batch-cluster \
--service-name queue-processor \
--task-definition my-processor:1 \
--desired-count 0 \
--capacity-provider-strategy \
capacityProvider=FARGATE_SPOT,weight=4,base=0 \
capacityProvider=FARGATE,weight=1,base=1 \
--network-configuration "awsvpcConfiguration={
subnets=[subnet-12345678],
securityGroups=[sg-12345678],
assignPublicIp=DISABLED
}"
# Register scalable target (scale to zero when queue empty)
aws application-autoscaling register-scalable-target \
--service-namespace ecs \
--resource-id service/batch-cluster/queue-processor \
--scalable-dimension ecs:service:DesiredCount \
--min-capacity 0 \
--max-capacity 20
# Scale-out alarm: messages > 100
aws cloudwatch put-metric-alarm \
--alarm-name queue-scale-out \
--metric-name ApproximateNumberOfMessagesVisible \
--namespace AWS/SQS \
--dimensions Name=QueueName,Value=my-queue \
--statistic Average \
--period 60 \
--evaluation-periods 1 \
--threshold 100 \
--comparison-operator GreaterThanThreshold \
--alarm-actions <scale-out-policy-arn>
# Scale-in alarm: queue empty for 3 periods (conservative to avoid flapping)
aws cloudwatch put-metric-alarm \
--alarm-name queue-scale-in \
--metric-name ApproximateNumberOfMessagesVisible \
--namespace AWS/SQS \
--dimensions Name=QueueName,Value=my-queue \
--statistic Average \
--period 60 \
--evaluation-periods 3 \
--threshold 0 \
--comparison-operator LessThanOrEqualToThreshold \
--alarm-actions <scale-in-policy-arn>
Fargate Spot interruption handling: Spot tasks receive a SIGTERM 2 minutes before termination. Catch it in your application for graceful shutdown. For SQS consumers, call ChangeMessageVisibility on in-flight messages so they return to the queue rather than timing out.
Auto Scaling # Register scalable target
aws application-autoscaling register-scalable-target \
--service-namespace ecs \
--resource-id service/my-cluster/web-service \
--scalable-dimension ecs:service:DesiredCount \
--min-capacity 2 \
--max-capacity 10
# Target tracking policy
aws application-autoscaling put-scaling-policy \
--service-namespace ecs \
--resource-id service/my-cluster/web-service \
--scalable-dimension ecs:service:DesiredCount \
--policy-name cpu-target-tracking \
--policy-type TargetTrackingScaling \
--target-tracking-scaling-policy-configuration '{
"TargetValue": 70.0,
"PredefinedMetricSpecification": {
"PredefinedMetricType": "ECSServiceAverageCPUUtilization"
},
"ScaleOutCooldown": 60,
"ScaleInCooldown": 120
}'
CLI Reference
Cluster Management Command Description aws ecs create-clusterCreate cluster aws ecs describe-clustersGet cluster details aws ecs list-clustersList clusters aws ecs delete-clusterDelete cluster
Task Definitions Command Description aws ecs register-task-definitionCreate task definition aws ecs describe-task-definitionGet task definition aws ecs list-task-definitionsList task definitions aws ecs deregister-task-definitionDeregister version
Services Command Description aws ecs create-serviceCreate service aws ecs update-serviceUpdate service aws ecs describe-servicesGet service details aws ecs delete-serviceDelete service
Tasks Command Description aws ecs run-taskRun standalone task aws ecs stop-taskStop running task aws ecs describe-tasksGet task details aws ecs list-tasksList tasks
Best Practices
Security
Use task roles for AWS API access (not access keys)
Use execution roles for ECR/Secrets access
Store secrets in Secrets Manager or Parameter Store
Use private subnets with NAT gateway
Enable CloudTrail for API auditing
Performance
Right-size CPU/memory — monitor and adjust
Use Fargate Spot for fault-tolerant workloads (70% savings)
Enable container insights for monitoring
Use service discovery for internal communication
Reliability
Deploy across multiple AZs
Configure health checks properly
Set appropriate deregistration delay
Use circuit breaker for deployments
aws ecs update-service \
--cluster my-cluster \
--service web-service \
--deployment-configuration '{
"deploymentCircuitBreaker": {
"enable": true,
"rollback": true
}
}'
Cost Optimization
Use Fargate Spot for batch workloads
Right-size task resources
Scale to zero when not needed
Use capacity providers for mixed Fargate/Spot
Troubleshooting
Task Fails to Start # View stopped tasks
aws ecs describe-tasks \
--cluster my-cluster \
--tasks $(aws ecs list-tasks --cluster my-cluster --desired-status STOPPED --query 'taskArns[0]' --output text)
Image not found (ECR permissions)
Secrets access denied
Network configuration (subnets, security groups)
Resource limits exceeded
Container Keeps Restarting # Check CloudWatch logs
aws logs get-log-events \
--log-group-name /ecs/web-app \
--log-stream-name "ecs/web/abc123"
# Check task details
aws ecs describe-tasks \
--cluster my-cluster \
--tasks task-arn \
--query 'tasks[0].containers[0].{reason:reason,exitCode:exitCode}'
Health check failing
Application crashing
Out of memory
Live Debugging with ECS Exec Connect directly to a running container without SSH. Requires enableExecuteCommand: true on the service and the SSM agent in your container image (included in most base images).
# Enable on existing service
aws ecs update-service \
--cluster my-cluster \
--service web-service \
--enable-execute-command
# Get a shell in a running task
TASK_ARN=$(aws ecs list-tasks --cluster my-cluster --service-name web-service \
--query 'taskArns[0]' --output text)
aws ecs execute-command \
--cluster my-cluster \
--task $TASK_ARN \
--container web \
--interactive \
--command "/bin/sh"
Requirements: Task role must have ssmmessages:CreateControlChannel, ssmmessages:CreateDataChannel, ssmmessages:OpenControlChannel, ssmmessages:OpenDataChannel permissions.
Service Stuck Deploying # Check deployment status
aws ecs describe-services \
--cluster my-cluster \
--services web-service \
--query 'services[0].deployments'
# Check events
aws ecs describe-services \
--cluster my-cluster \
--services web-service \
--query 'services[0].events[:5]'
Health check failing on new tasks
Not enough capacity
Target group health checks failing
Cannot Pull Image from ECR Check execution role has:
{
"Effect": "Allow",
"Action": [
"ecr:GetAuthorizationToken",
"ecr:BatchCheckLayerAvailability",
"ecr:GetDownloadUrlForLayer",
"ecr:BatchGetImage"
],
"Resource": "*"
}
VPC endpoint for ECR (if private subnet)
NAT gateway (if private subnet)
Security group allows HTTPS outbound
References Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).