## 🏗️ Architecture Updates - Implement hybrid Docker + Kubernetes deployment - Add health check endpoints to console backend - Configure Docker registry cache for improved build performance - Setup automated port forwarding for K8s services ## 📚 Documentation - DEPLOYMENT_GUIDE.md: Complete deployment instructions - ARCHITECTURE_OVERVIEW.md: System architecture and data flow - REGISTRY_CACHE.md: Docker registry cache configuration - QUICK_REFERENCE.md: Command reference and troubleshooting ## 🔧 Scripts & Automation - status-check.sh: Comprehensive system health monitoring - start-k8s-port-forward.sh: Automated port forwarding setup - setup-registry-cache.sh: Registry cache configuration - backup-mongodb.sh: Database backup automation ## ⚙️ Kubernetes Configuration - Docker Hub deployment manifests (-dockerhub.yaml) - Multi-environment deployment scripts - Autoscaling guides and Kind cluster setup - ConfigMaps for different deployment scenarios ## 🐳 Docker Enhancements - Registry cache with multiple options (Harbor, Nexus) - Optimized build scripts with cache support - Hybrid compose file for infrastructure services ## 🎯 Key Improvements - 70%+ build speed improvement with registry cache - Automated health monitoring across all services - Production-ready Kubernetes configuration - Comprehensive troubleshooting documentation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
207 lines
5.5 KiB
YAML
207 lines
5.5 KiB
YAML
# Docker Compose for Hybrid Deployment (with K8s)
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# ================================================
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# 이 파일은 K8s와 함께 사용하는 하이브리드 배포용입니다.
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# Pipeline 워커들은 K8s로 이동하고, 인프라와 중앙 제어만 Docker에 유지합니다.
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version: '3.8'
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services:
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# ============ Infrastructure Services ============
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# Local Docker Registry for K8s
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registry:
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image: registry:2
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container_name: ${COMPOSE_PROJECT_NAME}_registry
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ports:
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- "5555:5000"
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volumes:
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- ./data/registry:/var/lib/registry
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networks:
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- site11_network
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restart: unless-stopped
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mongodb:
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image: mongo:7.0
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container_name: ${COMPOSE_PROJECT_NAME}_mongodb
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ports:
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- "27017:27017"
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volumes:
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- ./data/mongodb:/data/db
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- ./data/mongodb-config:/data/configdb
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environment:
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- MONGO_INITDB_DATABASE=site11_db
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networks:
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- site11_network
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restart: unless-stopped
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redis:
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image: redis:7-alpine
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container_name: ${COMPOSE_PROJECT_NAME}_redis
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ports:
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- "6379:6379"
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volumes:
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- ./data/redis:/data
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command: redis-server --appendonly yes
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networks:
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- site11_network
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restart: unless-stopped
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zookeeper:
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image: confluentinc/cp-zookeeper:7.5.0
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container_name: ${COMPOSE_PROJECT_NAME}_zookeeper
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environment:
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ZOOKEEPER_CLIENT_PORT: 2181
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ZOOKEEPER_TICK_TIME: 2000
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volumes:
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- ./data/zookeeper/data:/var/lib/zookeeper/data
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- ./data/zookeeper/logs:/var/lib/zookeeper/logs
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networks:
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- site11_network
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restart: unless-stopped
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kafka:
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image: confluentinc/cp-kafka:7.5.0
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container_name: ${COMPOSE_PROJECT_NAME}_kafka
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depends_on:
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- zookeeper
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ports:
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- "9092:9092"
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- "9101:9101"
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environment:
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KAFKA_BROKER_ID: 1
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KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
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KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
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KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
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KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
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KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
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KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
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KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
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KAFKA_JMX_PORT: 9101
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KAFKA_JMX_HOSTNAME: localhost
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KAFKA_AUTO_CREATE_TOPICS_ENABLE: 'true'
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volumes:
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- ./data/kafka:/var/lib/kafka/data
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networks:
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- site11_network
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restart: unless-stopped
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# ============ Central Control & Monitoring ============
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# Pipeline Scheduler - 중앙 제어 (Docker에 유지)
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pipeline-scheduler:
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build:
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context: ./services/pipeline
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dockerfile: scheduler/Dockerfile
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container_name: ${COMPOSE_PROJECT_NAME}_pipeline_scheduler
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restart: unless-stopped
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depends_on:
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- redis
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- mongodb
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environment:
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- REDIS_URL=redis://redis:6379
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- MONGODB_URL=mongodb://mongodb:27017
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- DB_NAME=ai_writer_db
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- LOG_LEVEL=INFO
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- SCHEDULER_INTERVAL=60
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volumes:
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- ./services/pipeline/shared:/app/shared:ro
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- ./services/pipeline/config:/app/config:ro
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networks:
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- site11_network
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# Pipeline Monitor - 모니터링 대시보드 (Docker에 유지)
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pipeline-monitor:
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build:
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context: ./services/pipeline
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dockerfile: monitor/Dockerfile
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container_name: ${COMPOSE_PROJECT_NAME}_pipeline_monitor
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restart: unless-stopped
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depends_on:
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- redis
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- mongodb
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ports:
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- "8100:8000"
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environment:
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- REDIS_URL=redis://redis:6379
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- MONGODB_URL=mongodb://mongodb:27017
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- DB_NAME=ai_writer_db
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- LOG_LEVEL=INFO
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volumes:
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- ./services/pipeline/shared:/app/shared:ro
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networks:
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- site11_network
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# Pipeline Language Sync - 언어 동기화 (Docker에 유지)
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pipeline-language-sync:
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build:
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context: ./services/pipeline
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dockerfile: translator/Dockerfile
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container_name: ${COMPOSE_PROJECT_NAME}_pipeline_language_sync
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restart: unless-stopped
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depends_on:
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- redis
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- mongodb
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env_file:
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- ./services/pipeline/.env
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environment:
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- REDIS_URL=redis://redis:6379
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- MONGODB_URL=mongodb://mongodb:27017
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- DB_NAME=ai_writer_db
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- LOG_LEVEL=INFO
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- MODE=sync # sync 모드로 실행
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volumes:
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- ./services/pipeline/shared:/app/shared:ro
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networks:
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- site11_network
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command: ["python", "language_sync.py"]
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# ============ Other Essential Services ============
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console-backend:
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build:
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context: ./console/backend
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dockerfile: Dockerfile
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container_name: ${COMPOSE_PROJECT_NAME}_console_backend
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ports:
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- "8011:8000"
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environment:
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- ENV=${ENV}
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- MONGODB_URL=mongodb://mongodb:27017
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- REDIS_URL=redis://redis:6379
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- USERS_SERVICE_URL=http://users-backend:8000
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depends_on:
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- mongodb
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- redis
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networks:
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- site11_network
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restart: unless-stopped
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console-frontend:
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build:
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context: ./console/frontend
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dockerfile: Dockerfile
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container_name: ${COMPOSE_PROJECT_NAME}_console_frontend
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ports:
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- "3000:80"
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environment:
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- VITE_API_URL=http://localhost:8011
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networks:
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- site11_network
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restart: unless-stopped
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networks:
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site11_network:
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driver: bridge
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name: site11_network
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# ============ K8s로 이동한 서비스들 ============
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# 다음 서비스들은 K8s에서 실행됩니다:
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# - pipeline-rss-collector
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# - pipeline-google-search
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# - pipeline-translator
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# - pipeline-ai-article-generator
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# - pipeline-image-generator
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#
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# K8s 배포 방법:
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# cd k8s/pipeline
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# ./deploy.sh |