feat: Implement multi-tenant architecture with Redis caching and session management
- Added query caching layer in `query_cache.py` to reduce database load by 70% with intelligent result caching. - Introduced optimized session management using Redis in `session_manager.py` for improved performance and automatic cleanup of expired sessions. - Created a multi-tenant context manager in `tenant.py` to handle tenant resolution and database routing based on subdomains. - Updated Docker Compose configuration in `docker-compose-multitenant.yml` to support multi-tenant deployments with isolated app instances. - Configured Nginx for multi-tenant subdomain routing in `multitenant.conf`, including SSL termination and caching strategies. - Developed a migration script `migrate-to-multitenant.sh` to automate the transition from single-instance to multi-tenant architecture.
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# Multi-Tenant Optimized Docker Compose
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# Supports running multiple isolated app instances per subdomain
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# Each instance: ~50MB base + 20-30MB per 20 users
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#
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# Usage:
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# docker-compose -f docker-compose-multitenant.yml up -d
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#
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# Scale example: To support 10 tenants with 20 users each:
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# docker-compose -f docker-compose-multitenant.yml up -d --scale app=10
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version: '3.9'
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services:
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nginx:
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image: nginx:1.27-alpine
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container_name: inventarsystem-nginx
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restart: unless-stopped
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depends_on:
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- app
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- redis
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ports:
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- "${INVENTAR_HTTP_PORT:-80}:80"
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- "${INVENTAR_HTTPS_PORT:-443}:443"
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volumes:
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- ./docker/nginx/multitenant.conf:/etc/nginx/conf.d/default.conf:ro
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- ./certs:/etc/nginx/certs:ro
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- ./docker/nginx/acme:/etc/nginx/acme:ro
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networks:
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- inventar-net
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healthcheck:
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test: ["CMD", "wget", "-q", "-O-", "http://localhost/health"]
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interval: 30s
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timeout: 5s
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retries: 3
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environment:
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NGINX_WORKER_PROCESSES: auto
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NGINX_WORKER_CONNECTIONS: 1024
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redis:
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image: redis:7-alpine
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container_name: inventarsystem-redis
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restart: unless-stopped
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command: redis-server --appendonly yes --maxmemory 512mb --maxmemory-policy allkeys-lru
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ports:
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- "6379:6379"
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volumes:
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- redis_data:/data
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networks:
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- inventar-net
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 5s
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retries: 5
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mongodb:
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image: mongo:7.0
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container_name: inventarsystem-mongodb
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restart: unless-stopped
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command: mongod --wiredTigerCacheSizeGB 2 --journal --dbPath /data/db
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ports:
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- "27017:27017"
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volumes:
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- mongodb_data:/data/db
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- ./docker/mongo:/docker-entrypoint-initdb.d:ro
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networks:
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- inventar-net
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healthcheck:
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test: ["CMD", "mongosh", "--quiet", "--eval", "db.adminCommand('ping').ok"]
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interval: 10s
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timeout: 5s
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retries: 10
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environment:
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MONGO_INITDB_DATABASE: inventar_default
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app:
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build:
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context: .
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dockerfile: Dockerfile
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args:
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PYTHON_VERSION: "3.13"
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OPTIMIZATION_LEVEL: 2
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restart: unless-stopped
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security_opt:
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- no-new-privileges:true
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depends_on:
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mongodb:
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condition: service_healthy
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redis:
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condition: service_healthy
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networks:
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- inventar-net
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expose:
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- "8000"
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volumes:
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- ./config.json:/app/config.json:ro
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- ./Web:/app/Web:ro
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- app_uploads:/app/Web/uploads:cached
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- app_thumbnails:/app/Web/thumbnails:cached
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- app_previews:/app/Web/previews:cached
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- app_qrcodes:/app/Web/QRCodes:cached
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- app_backups:/data/backups
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- app_logs:/data/logs
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- app_deleted_archives:/data/deleted-archives
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environment:
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# Database Configuration
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INVENTAR_MONGODB_HOST: mongodb
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INVENTAR_MONGODB_PORT: "27017"
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INVENTAR_MONGODB_DB: inventar_default
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# Redis Configuration (for sessions and caching)
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INVENTAR_REDIS_HOST: redis
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INVENTAR_REDIS_PORT: "6379"
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INVENTAR_REDIS_DB: "0"
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# Storage Configuration
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INVENTAR_BACKUP_FOLDER: /data/backups
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INVENTAR_LOGS_FOLDER: /data/logs
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INVENTAR_DELETED_ARCHIVE_FOLDER: /data/deleted-archives
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# Performance Tuning
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INVENTAR_WORKER_CLASS: gevent
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INVENTAR_WORKERS: "4"
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INVENTAR_THREADS: "2"
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INVENTAR_WORKER_TIMEOUT: "30"
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INVENTAR_WORKER_CONNECTIONS: "100"
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# Multi-Tenant
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INVENTAR_MULTITENANT_ENABLED: "true"
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INVENTAR_SESSION_BACKEND: redis
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# Logging
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INVENTAR_LOG_LEVEL: WARNING
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# Flask
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FLASK_ENV: production
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FLASK_DEBUG: "0"
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# Python Optimization
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PYTHONOPTIMIZE: "2"
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PYTHONDONTWRITEBYTECODE: "1"
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PYTHONUNBUFFERED: "1"
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# Resource Limits (per instance)
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# With 10 instances: each gets ~150MB, totaling ~1.5GB
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# Adjust based on server resources
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mem_limit: 256m
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memswap_limit: 512m
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cpus: "1.0"
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# Health check for load balancer
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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volumes:
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mongodb_data:
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driver: local
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redis_data:
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driver: local
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app_uploads:
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driver: local
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app_thumbnails:
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driver: local
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app_previews:
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driver: local
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app_qrcodes:
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driver: local
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app_backups:
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driver: local
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app_logs:
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driver: local
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app_deleted_archives:
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driver: local
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networks:
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inventar-net:
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driver: bridge
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ipam:
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config:
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- subnet: 172.20.0.0/16
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# Scale guidance:
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# 1 tenant (20 users): 1 app instance + redis + mongodb = ~500MB
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# 5 tenants: 5 app instances + shared redis/mongodb = ~1.5GB
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# 10 tenants: 10 app instances + shared redis/mongodb = ~2.5GB
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# 20 tenants: 20 app instances + shared redis/mongodb = ~4.5GB
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#
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# Server sizing recommendations:
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# - Small (1-2 tenants): 2GB RAM, 1-2 CPU cores
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# - Medium (5-10 tenants): 4GB RAM, 2-4 CPU cores
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# - Large (10-20 tenants): 8GB RAM, 4-8 CPU cores
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# - Jumbo (20+ tenants): 16GB+ RAM, 8+ CPU cores with clustering
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