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ecs

@itsmostafa · 收录于 1 周前 · 上游提交 2 个月前

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.

适合你,如果需要在 AWS 上运行和管理容器化应用

/ 下载安装
ecs.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add itsmostafa/aws-agent-skills/ecs
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- itsmostafa/aws-agent-skills/ecs
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify itsmostafa/aws-agent-skills/ecs
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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~2.2K含声明引用
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镜像托管

怎么用

商店整理自技能原文 · 版本 4ab904a · 表述以原文为准
它做什么

Claude 能帮你管理 AWS ECS 容器编排,包括创建集群、注册任务定义、部署服务、运行任务、配置自动扩缩容以及排查容器问题。

什么时候触发

当你需要部署容器化应用、配置任务定义、设置服务、管理集群或排查容器问题时触发。

装好后可以这样说
Claude 会生成创建集群的 AWS CLI 命令。
Claude 会生成任务定义的 JSON 和注册命令。
Claude 会生成创建服务的命令。
技能原文 SKILL.md作者撰写 · MIT · 4ab904a

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](#core-concepts)
  • [Common Patterns](#common-patterns)
  • [CLI Reference](#cli-reference)
  • [Best Practices](#best-practices)
  • [Troubleshooting](#troubleshooting)
  • [References](#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

| Type | Description | Use Case | |------|-------------|----------| | Fargate | Serverless, pay per task | Most workloads | | EC2 | Self-managed instances | GPU, 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>

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-cluster | Create cluster | | aws ecs describe-clusters | Get cluster details | | aws ecs list-clusters | List clusters | | aws ecs delete-cluster | Delete cluster |

Task Definitions

| Command | Description | |---------|-------------| | aws ecs register-task-definition | Create task definition | | aws ecs describe-task-definition | Get task definition | | aws ecs list-task-definitions | List task definitions | | aws ecs deregister-task-definition | Deregister version |

Services

| Command | Description | |---------|-------------| | aws ecs create-service | Create service | | aws ecs update-service | Update service | | aws ecs describe-services | Get service details | | aws ecs delete-service | Delete service |

Tasks

| Command | Description | |---------|-------------| | aws ecs run-task | Run standalone task | | aws ecs stop-task | Stop running task | | aws ecs describe-tasks | Get task details | | aws ecs list-tasks | List 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

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
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
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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