@codai/cbd
Version:
Codai Better Database - High-Performance Vector Memory System with HPKV-inspired architecture and MCP server
96 lines (90 loc) • 2.19 kB
YAML
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