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Deployment Guide

This guide covers how to deploy Back.Serv in various environments.

Production Deployment Checklist

1. Security

  • Set strong passwords
  • Configure SSL/TLS
  • Set up firewall rules
  • Remove debug mode
  • Secure all endpoints
  • Configure CORS properly
  • Set up rate limiting

2. Environment

  • Set up production environment variables
  • Configure logging
  • Set up monitoring
  • Configure backup system
  • Set up alerting

3. Performance

  • Configure connection pools
  • Set up caching
  • Configure worker processes
  • Set up load balancing
  • Configure database indexes

Deployment Options

Docker Deployment

  1. Build the Docker image

    docker build -t back.serv .

  2. Run with Docker Compose

    version: '3'
services:
  web:
    build: .
    ports:
      - "4093:4093"
    env_file:
      - .env
    depends_on:
      - redis
      - mysql
  
  redis:
    image: redis:latest
    ports:
      - "6379:6379"
  
  mysql:
    image: mysql:8
    env_file:
      - .env
    volumes:
      - mysql_data:/var/lib/mysql
  
  celery:
    build: .
    command: celery -A celery_tasks worker --loglevel=info
    env_file:
      - .env
    depends_on:
      - redis
      - mysql

volumes:
  mysql_data:

Traditional Server Deployment

  1. Set up Python environment

    python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

  2. Configure Supervisor

    [program:backserv]
directory=/path/to/back.serv
command=/path/to/back.serv/venv/bin/gunicorn back_serv:flask_app -w 4 -b 0.0.0.0:4093
user=backserv
autostart=true
autorestart=true
stderr_logfile=/var/log/backserv/err.log
stdout_logfile=/var/log/backserv/out.log

[program:backserv_celery]
directory=/path/to/back.serv
command=/path/to/back.serv/venv/bin/celery -A celery_tasks worker --loglevel=info
user=backserv
autostart=true
autorestart=true
stderr_logfile=/var/log/backserv_celery/err.log
stdout_logfile=/var/log/backserv_celery/out.log

  3. Configure Nginx

    server {
    listen 80;
    server_name your_domain.com;

    location / {
        proxy_pass http://localhost:4093;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
    }
}

Monitoring and Maintenance

Health Monitoring

  1. Set up Prometheus monitoring

    global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'backserv'
    static_configs:
      - targets: ['localhost:4093']

  2. Configure Grafana dashboard

    • System metrics
    • Application metrics
    • Task queue metrics

Backup Strategy

  1. Database Backup

    # Daily backup script
#!/bin/bash
mysqldump -u user -p database | gzip > backup-$(date +%Y%m%d).sql.gz

  2. Log Rotation

    /var/log/backserv/*.log {
    daily
    rotate 14
    compress
    delaycompress
    notifempty
    create 0640 backserv backserv
}

Scaling Strategies

Horizontal Scaling

  1. Add More Workers

    celery -A celery_tasks worker --loglevel=info --concurrency=4

  2. Load Balancer Configuration

    upstream backserv {
    server 127.0.0.1:4093;
    server 127.0.0.1:4094;
    server 127.0.0.1:4095;
}

Vertical Scaling

  1. Increase Resources

    • CPU cores
    • RAM
    • Disk space

  2. Optimize Configuration

    • Database connection pool
    • Worker processes
    • Cache size

Troubleshooting

Common Issues

  1. Connection Errors

    • Check network connectivity
    • Verify firewall rules
    • Check service status

  2. Performance Issues

    • Monitor system resources
    • Check log files
    • Analyze database queries

  3. Worker Issues

    • Check Celery worker status
    • Verify Redis connection
    • Check task queue