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@codai/cbd

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Codai Better Database - High-Performance Vector Memory System with HPKV-inspired architecture and MCP server

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version: '3.8' services: cbd-core: build: context: . dockerfile: Dockerfile.production container_name: cbd-production-core ports: - "4180:4180" environment: - NODE_ENV=production - PORT=4180 healthcheck: test: ["CMD", "curl", "-f", "http://localhost:4180/health"] interval: 30s timeout: 10s retries: 3 restart: unless-stopped cbd-collaboration: build: . container_name: cbd-production-collaboration ports: - "4600:4600" environment: - NODE_ENV=production - PORT=4600 command: node cbd-collaboration-service.cjs healthcheck: test: ["CMD", "curl", "-f", "http://localhost:4600/health"] interval: 30s timeout: 10s retries: 3 restart: unless-stopped depends_on: - cbd-core cbd-analytics: build: . container_name: cbd-production-analytics ports: - "4700:4700" environment: - NODE_ENV=production - PORT=4700 command: node cbd-ai-analytics-engine.cjs healthcheck: test: ["CMD", "curl", "-f", "http://localhost:4700/health"] interval: 30s timeout: 10s retries: 3 restart: unless-stopped depends_on: - cbd-core cbd-graphql: build: . container_name: cbd-production-graphql ports: - "4800:4800" environment: - NODE_ENV=production - PORT=4800 command: node cbd-graphql-gateway.cjs healthcheck: test: ["CMD", "curl", "-f", "http://localhost:4800/health"] interval: 30s timeout: 10s retries: 3 restart: unless-stopped depends_on: - cbd-core nginx: image: nginx:alpine container_name: cbd-production-nginx ports: - "80:80" - "443:443" volumes: - ./nginx.conf:/etc/nginx/nginx.conf:ro depends_on: - cbd-core - cbd-collaboration - cbd-analytics - cbd-graphql restart: unless-stopped networks: default: name: cbd-production-network driver: bridge ipam: config: - subnet: 172.26.0.0/16