CtrlK
BlogDocsLog inGet started
Tessl Logo

ecs

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.

SKILL.md
Quality
Evals
Security

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
  • Common Patterns
  • CLI Reference
  • Best Practices
  • Troubleshooting
  • References

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

TypeDescriptionUse Case
FargateServerless, pay per taskMost workloads
EC2Self-managed instancesGPU, Windows, specific requirements

Common Patterns

Create a Fargate Cluster

AWS CLI:

# 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>

Backlog per task (AWS-recommended): Raw queue depth over-scales. Target-track queue depth / RunningTaskCount via metric math instead; Application Auto Scaling manages the alarms. Requires Container Insights on the cluster (RunningTaskCount in ECS/ContainerInsights). With 0 running tasks the divisor has no data, so this cannot scale from zero; keep the alarm pattern above when min-capacity is 0.

# TargetValue = acceptable latency / avg processing time per message (e.g. 10s / 0.1s = 100)
aws application-autoscaling put-scaling-policy \
  --service-namespace ecs \
  --resource-id service/batch-cluster/queue-processor \
  --scalable-dimension ecs:service:DesiredCount \
  --policy-name sqs-backlog-per-task \
  --policy-type TargetTrackingScaling \
  --target-tracking-scaling-policy-configuration '{
    "TargetValue": 100,
    "CustomizedMetricSpecification": {
      "Metrics": [
        {"Id": "m1", "ReturnData": false, "MetricStat": {"Stat": "Sum",
          "Metric": {"Namespace": "AWS/SQS", "MetricName": "ApproximateNumberOfMessagesVisible",
            "Dimensions": [{"Name": "QueueName", "Value": "my-queue"}]}}},
        {"Id": "m2", "ReturnData": false, "MetricStat": {"Stat": "Average",
          "Metric": {"Namespace": "ECS/ContainerInsights", "MetricName": "RunningTaskCount",
            "Dimensions": [{"Name": "ClusterName", "Value": "batch-cluster"},
                           {"Name": "ServiceName", "Value": "queue-processor"}]}}},
        {"Id": "e1", "Expression": "m1 / m2", "ReturnData": true}
      ]
    }
  }'

Protect in-flight work from scale-in: the worker sets ProtectionEnabled=true while processing (container agent endpoint $ECS_AGENT_URI/task-protection/v1/state, or aws ecs update-task-protection --cluster <c> --tasks <id> --protection-enabled --expires-in-minutes 60) and clears it when done. Task role needs ecs:GetTaskProtection and ecs:UpdateTaskProtection. Service tasks only.

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
  }'

Faster scaling with 20-second metrics: enable high-resolution service metrics, then use ECSServiceAverageCPUUtilizationHighResolution or ECSServiceAverageMemoryUtilizationHighResolution as the PredefinedMetricType. On an existing service the --monitoring change triggers a deployment; create the high-res policy only after it completes. Not supported with CODE_DEPLOY/EXTERNAL deployment controllers. Extra CloudWatch charges apply.

aws ecs update-service \
  --cluster my-cluster \
  --service web-service \
  --monitoring "metricConfigurations=[{metricNames=[CPUUtilization,MemoryUtilization],resolutionSeconds=20}]"

CLI Reference

Cluster Management

CommandDescription
aws ecs create-clusterCreate cluster
aws ecs describe-clustersGet cluster details
aws ecs list-clustersList clusters
aws ecs delete-clusterDelete cluster

Task Definitions

CommandDescription
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

CommandDescription
aws ecs create-serviceCreate service
aws ecs update-serviceUpdate service
aws ecs describe-servicesGet service details
aws ecs delete-serviceDelete service

Tasks

CommandDescription
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
  • Cap task size with IAM — ecs:task-cpu / ecs:task-memory condition keys apply to RunTask and StartTask as well as RegisterTaskDefinition, CreateService, UpdateService

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,
      "resetOnHealthyTask": true,
      "thresholdConfiguration": {"type": "BOUNDED_PERCENT", "value": 50}
    }
  }'
  • Tune circuit breaker threshold: default BOUNDED_PERCENT/50 = 50% of desired count, clamped to 3-200 failures. UNBOUNDED_PERCENT drops the clamp (large services); COUNT uses value as a fixed failure count (e.g. low for fast dev rollbacks). resetOnHealthyTask: false counts failures cumulatively instead of consecutively.
  • Early success criteria (rolling only): mark the deployment successful once healthyPercent of desired tasks are healthy on the new revision; the rest launch via normal service scaling. healthyPercent must be between minimumHealthyPercent and 100; replica services default to minimumHealthyPercent 100, so set it explicitly when using a lower healthyPercent. After early completion, circuit breaker and alarm rollback no longer apply. sourceServiceRevisionCleanup: BLOCKING drains old tasks before success; DEFERRED declares success first and drains old tasks asynchronously (long-lived connections, scale-in protection).
aws ecs update-service \
  --cluster my-cluster \
  --service web-service \
  --deployment-configuration '{
    "strategy": "ROLLING",
    "minimumHealthyPercent": 75,
    "earlySuccessCriteria": {"enable": true, "healthyPercent": 90, "sourceServiceRevisionCleanup": "BLOCKING"}
  }'
  • Service Connect zone-aware routing is on by default (prefers same-AZ endpoints, cuts cross-AZ cost); existing services need one redeploy to pick it up.
  • EC2 launch type: migrate to Amazon Linux 2023 ECS-optimized AMIs. AL2 ECS-optimized AMIs reached end of life June 30, 2026 (no new AMIs, agent pinned).
  • Fargate: platform version 1.3.0 was deprecated June 15, 2026. Use LATEST or 1.4.0.

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

Check:

# 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)

Common causes:

  • Image not found (ECR permissions)
  • Secrets access denied
  • Network configuration (subnets, security groups)
  • Resource limits exceeded

Container Keeps Restarting

Debug:

# 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}'

Causes:

  • 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]'

Causes:

  • Health check failing on new tasks
  • Not enough capacity
  • Target group health checks failing

Action Logs (What ECS Did During a Deployment)

Opt-in per cluster. Timestamped records of actions ECS takes during service deployments (state transitions, rollbacks, lifecycle hooks) and Managed Daemon lifecycle, with logLevel INFO/WARN/ERROR and status reasons. Keeps failure metadata past the 1-hour stopped-task retention. Billed as CloudWatch vended logs.

aws logs put-delivery-source \
  --name my-ecs-action-logs \
  --resource-arn arn:aws:ecs:us-east-1:123456789012:cluster/my-cluster \
  --log-type EcsActionLogs

aws logs put-delivery-destination \
  --name my-ecs-logs-destination \
  --output-format json \
  --delivery-destination-configuration '{"destinationResourceArn": "arn:aws:logs:us-east-1:123456789012:log-group:/aws/vendedlogs/ecs/action-logs/my-cluster"}'

aws logs create-delivery \
  --delivery-source-name my-ecs-action-logs \
  --delivery-destination-arn arn:aws:logs:us-east-1:123456789012:delivery-destination:my-ecs-logs-destination

Requires: logs:PutDeliverySource, logs:PutDeliveryDestination, logs:CreateDelivery, logs:GetDelivery, ecs:AllowVendedLogDeliveryForResource; the log group resource policy must allow delivery.logs.amazonaws.com to logs:CreateLogStream/logs:PutLogEvents. One log stream per service/daemon ARN.

OOM Kills After Moving EC2 Hosts to AL2023

AL2023 uses cgroup v2: with only task-level memory, the container cannot see the limit, so JVMs and similar runtimes size heap from host memory. Set container-level memory equal to the task memory, or set ECS_PROPAGATE_TASK_MEMORY_LIMIT_CGROUPV2=true in /etc/ecs/ecs.config (agent 1.104.0+). Reported memory also includes page cache on cgroup v2, so utilization reads higher than on AL2.

Cannot Pull Image from ECR

Check execution role has:

{
  "Effect": "Allow",
  "Action": [
    "ecr:GetAuthorizationToken",
    "ecr:BatchCheckLayerAvailability",
    "ecr:GetDownloadUrlForLayer",
    "ecr:BatchGetImage"
  ],
  "Resource": "*"
}

Also check:

  • VPC endpoint for ECR (if private subnet)
  • NAT gateway (if private subnet)
  • Security group allows HTTPS outbound

References

Repository
itsmostafa/aws-agent-skills
Path

skills/ecs/SKILL.md

Commit

e786d25

Last updated
First committed

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.

Claim skill