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Inventarsystem/docker-compose-multitenant.yml
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# Multi-Tenant Optimized Docker Compose
# Supports running multiple isolated app instances with direct Docker host port binding
# Each instance: ~50MB base + 20-30MB per 20 users
#
# Usage:
# docker-compose -f docker-compose-multitenant.yml up -d
#
# Example: Start the stack and expose the app on host port 10000
# INVENTAR_HTTP_PORT=10000 docker-compose -f docker-compose-multitenant.yml up -d
services:
# Management Container for multi-tenant scripts
tenant-manager:
image: python:3.12-alpine
container_name: tenant-manager
restart: "no"
profiles:
- tools
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- .:/workspace
entrypoint: >
sh -c "apk add --no-cache bash docker-cli docker-cli-compose && cd /workspace && ./manage-tenant.sh \"$$@\"" --
redis:
image: redis:7-alpine
container_name: inventarsystem-redis
restart: unless-stopped
command: redis-server --appendonly yes --maxmemory 512mb --maxmemory-policy allkeys-lru
ports:
- "6379:6379"
volumes:
- redis_data:/data
networks:
- inventar-net
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 5s
retries: 5
mongodb:
image: mongo:7.0
container_name: inventarsystem-mongodb
restart: unless-stopped
expose:
- "27017"
volumes:
- mongodb_data:/data/db
- ./docker/mongo:/docker-entrypoint-initdb.d:ro
networks:
- inventar-net
healthcheck:
test: ["CMD", "mongosh", "--quiet", "--eval", "db.adminCommand('ping').ok"]
interval: 10s
timeout: 5s
retries: 10
environment:
MONGO_INITDB_DATABASE: inventar_default
app:
build:
context: .
dockerfile: Dockerfile
args:
PYTHON_VERSION: "3.13"
OPTIMIZATION_LEVEL: 2
working_dir: /app/Web
command: ["gunicorn", "app:app", "--bind", "0.0.0.0:8000", "--workers", "2", "--timeout", "30", "--graceful-timeout", "20", "--max-requests", "1000", "--max-requests-jitter", "100", "--log-level", "info", "--access-logfile", "-", "--error-logfile", "-"]
restart: unless-stopped
security_opt:
- no-new-privileges:true
depends_on:
mongodb:
condition: service_healthy
redis:
condition: service_healthy
ports:
- "${INVENTAR_HTTP_PORT:-10000}:8000"
networks:
- inventar-net
expose:
- "8000"
volumes:
- ./config.json:/app/config.json:ro
- app_uploads:/app/Web/uploads:cached
- app_thumbnails:/app/Web/thumbnails:cached
- app_previews:/app/Web/previews:cached
- app_qrcodes:/app/Web/QRCodes:cached
- app_backups:/data/backups
- app_logs:/data/logs
- app_deleted_archives:/data/deleted-archives
environment:
# Database Configuration
INVENTAR_MONGODB_HOST: mongodb
INVENTAR_MONGODB_PORT: "27017"
INVENTAR_MONGODB_DB: inventar_default
INVENTAR_CONFIG_PATH: /app/config.json
# Redis Configuration (for sessions and caching)
INVENTAR_REDIS_HOST: redis
INVENTAR_REDIS_PORT: "6379"
INVENTAR_REDIS_DB: "0"
INVENTAR_TENANT_PORT_MAP: "${INVENTAR_TENANT_PORT_MAP:-}"
# Storage Configuration
INVENTAR_BACKUP_FOLDER: /data/backups
INVENTAR_LOGS_FOLDER: /data/logs
INVENTAR_DELETED_ARCHIVE_FOLDER: /data/deleted-archives
# Performance Tuning
INVENTAR_WORKER_CLASS: ${INVENTAR_WORKER_CLASS:-gevent}
INVENTAR_WORKERS: "${INVENTAR_WORKERS:-4}"
INVENTAR_THREADS: "${INVENTAR_THREADS:-2}"
INVENTAR_WORKER_TIMEOUT: "${INVENTAR_WORKER_TIMEOUT:-30}"
INVENTAR_WORKER_CONNECTIONS: "${INVENTAR_WORKER_CONNECTIONS:-100}"
# Auto-scaled runtime settings
INVENTAR_APP_CPUS: ${INVENTAR_APP_CPUS:-1.0}
INVENTAR_APP_MEM_LIMIT: ${INVENTAR_APP_MEM_LIMIT:-256m}
INVENTAR_APP_MEM_SWAP_LIMIT: ${INVENTAR_APP_MEM_SWAP_LIMIT:-512m}
# Multi-Tenant
INVENTAR_MULTITENANT_ENABLED: "true"
INVENTAR_SESSION_BACKEND: redis
# Logging
INVENTAR_LOG_LEVEL: WARNING
# Flask
FLASK_ENV: production
FLASK_DEBUG: "0"
# Python Optimization
PYTHONOPTIMIZE: "2"
PYTHONDONTWRITEBYTECODE: "1"
PYTHONUNBUFFERED: "1"
# Resource Limits (per instance)
# With 10 instances: each gets ~150MB, totaling ~1.5GB
# Adjust based on server resources
mem_limit: "${INVENTAR_APP_MEM_LIMIT:-256m}"
memswap_limit: "${INVENTAR_APP_MEM_SWAP_LIMIT:-512m}"
cpus: "${INVENTAR_APP_CPUS:-1.0}"
# Health check for load balancer
healthcheck:
test:
[
"CMD",
"python",
"-c",
"import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=5).read(); print('OK')"
]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
volumes:
mongodb_data:
driver: local
redis_data:
driver: local
app_uploads:
driver: local
app_thumbnails:
driver: local
app_previews:
driver: local
app_qrcodes:
driver: local
app_backups:
driver: local
app_logs:
driver: local
app_deleted_archives:
driver: local
networks:
inventar-net:
driver: bridge
# Scale guidance:
# 1 tenant (20 users): 1 app instance + redis + mongodb = ~500MB
# 5 tenants: 5 app instances + shared redis/mongodb = ~1.5GB
# 10 tenants: 10 app instances + shared redis/mongodb = ~2.5GB
# 20 tenants: 20 app instances + shared redis/mongodb = ~4.5GB
#
# Server sizing recommendations:
# - Small (1-2 tenants): 2GB RAM, 1-2 CPU cores
# - Medium (5-10 tenants): 4GB RAM, 2-4 CPU cores
# - Large (10-20 tenants): 8GB RAM, 4-8 CPU cores
# - Jumbo (20+ tenants): 16GB+ RAM, 8+ CPU cores with clustering