본문으로 건너뛰기
cccskills
무료GitHub에 공개

aws-ecs

Run 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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구AWSDocker
설치 방법 보기

포함된 파일(2)

  • SKILL.md6.0 KB
  • _scores.json1.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

AWS ECS

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 latest for reproducibility

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

3proxy

무료

3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

Builds Agent2Agent (A2A) servers and clients, the open protocol (originally from Google, now under the Linux Foundation) that lets AI agents from different frameworks call each other. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a protocol, a2a server, a2a client, agent card, agent interoperability, agent collaboration, multi-agent, agent discovery, a2a sdk, a2a task.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

Plans a controlled experiment (A/B test) so its result can be trusted: writes the hypothesis, picks one primary metric and the guardrails, computes sample size and run time, specifies how visitors are assigned and when exposure is logged, and reads out the result with a confidence interval. Use when someone says "set up an A/B test", "split test this page", "how many visitors do I need", "how long should the experiment run", "is this result significant", "can I stop the test early", or wants to test a headline, price, layout or onboarding change against the current version.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

ably

무료

Ably is a hosted realtime messaging service: clients publish and subscribe to named channels over WebSockets, see who is present, replay message history, and resume after a dropped connection. Use when a user asks to "add realtime updates", "push live notifications to the browser", "show who is online", "add a chat room with typing indicators", "publish from a serverless function", or "authenticate Ably clients without exposing the API key". Covers the ably 2.x JavaScript SDK (Realtime and REST), JWT token authentication, presence, history and rewind, batch publishing, and the @ably/chat 1.x SDK.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

TerminalSkills의 스킬 모두 보기

이 스킬의 문제 신고