olsch01
411239bea4
- Frontend container nginx listens on 3001 instead of 80 to avoid conflicts with the host-level reverse proxy - Removed certbot service, volumes, and SSL config from docker-compose.prod.yml — SSL/certbot is managed at the host level - Updated nginx/production.conf: HTTP-only (host handles TLS), upstream frontend points to port 3001 - Updated nginx/ssl.conf frontend upstream to 3001 for consistency Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
80 lines
2.3 KiB
YAML
80 lines
2.3 KiB
YAML
# Production override — use with:
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# docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d --build
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#
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# What this changes from the base (dev) config:
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# - Backend: production Dockerfile (compiled JS, no watch, no devDeps)
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# - Frontend: production Dockerfile (static build served by nginx on port 3001)
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# - No source-code volume mounts (uses baked-in built code)
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# - Memory limits and health checks on backend
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# - Tuned PostgreSQL for production workloads
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# - Restart policies for reliability
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#
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# SSL/TLS is handled at the host level (e.g., host nginx + certbot).
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# The Docker nginx container listens on port 80 only.
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services:
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nginx:
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volumes:
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- ./nginx/production.conf:/etc/nginx/conf.d/default.conf:ro
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restart: unless-stopped
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backend:
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build:
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context: ./backend
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dockerfile: Dockerfile # production Dockerfile (compiled JS)
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volumes: [] # override: no source mounts in prod
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environment:
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- DATABASE_URL=${DATABASE_URL}
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- REDIS_URL=${REDIS_URL}
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- JWT_SECRET=${JWT_SECRET}
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- NODE_ENV=production
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- AI_API_URL=${AI_API_URL}
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- AI_API_KEY=${AI_API_KEY}
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- AI_MODEL=${AI_MODEL}
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- AI_DEBUG=${AI_DEBUG:-false}
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deploy:
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resources:
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limits:
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memory: 1024M
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reservations:
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memory: 256M
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healthcheck:
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test: ["CMD-SHELL", "wget -qO- http://localhost:3000/api || exit 1"]
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interval: 15s
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timeout: 5s
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retries: 3
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start_period: 30s
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restart: unless-stopped
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frontend:
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build:
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context: ./frontend
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dockerfile: Dockerfile # production Dockerfile (static nginx)
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volumes: [] # override: no source mounts in prod
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environment:
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- NODE_ENV=production
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restart: unless-stopped
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postgres:
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# Tune PostgreSQL for production workloads
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command: >
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postgres
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-c max_connections=200
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-c shared_buffers=256MB
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-c effective_cache_size=512MB
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-c work_mem=4MB
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-c maintenance_work_mem=64MB
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-c checkpoint_completion_target=0.9
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-c wal_buffers=16MB
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-c random_page_cost=1.1
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deploy:
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resources:
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limits:
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memory: 1024M
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reservations:
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memory: 512M
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restart: unless-stopped
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redis:
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restart: unless-stopped
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