6.1 Deployment Requirements

This section details the deployment requirements and procedures for setting up the Neural Snake AI system in various environments.

6.1.1 Environment Setup

1. Docker Configuration

   # Dockerfile
   FROM node:14-alpine
   
   WORKDIR /app
   
   # Install dependencies
   COPY package*.json ./
   RUN npm install
   
   # Copy source code
   COPY . .
   
   # Build application
   RUN npm run build
   
   # Expose ports
   EXPOSE 3000 8080
   
   # Start application
   CMD ["npm", "start"]

2. Docker Compose

   # docker-compose.yml
   version: '3.8'
   
   services:
     app:
       build: .
       ports:
         - "3000:3000"
       environment:
         NODE_ENV: production
         DB_HOST: db
         REDIS_HOST: cache
       depends_on:
         - db
         - cache
   
     db:
       image: postgres:13
       volumes:
         - postgres_data:/var/lib/postgresql/data
       environment:
         POSTGRES_PASSWORD: ${DB_PASSWORD}
   
     cache:
       image: redis:6
       volumes:
         - redis_data:/data
   
   volumes:
     postgres_data:
     redis_data:

6.1.2 Cloud Deployment

1. AWS Configuration

   // aws-config.js
   const awsConfig = {
       region: 'us-west-2',
       services: {
           ecs: {
               cluster: 'neural-snake-cluster',
               taskDefinition: 'neural-snake-task',
               desiredCount: 2
           },
           rds: {
               instance: 'db.t3.medium',
               multiAZ: true,
               backup: {
                   retention: 7
               }
           },
           elasticache: {
               nodeType: 'cache.t3.medium',
               numNodes: 2
           }
       }
   };

2. Kubernetes Deployment

   # deployment.yaml
   apiVersion: apps/v1
   kind: Deployment
   metadata:
     name: neural-snake
   spec:
     replicas: 3
     selector:
       matchLabels:
         app: neural-snake
     template:
       metadata:
         labels:
           app: neural-snake
       spec:
         containers:
         - name: neural-snake
           image: neural-snake:latest
           ports:
           - containerPort: 3000
           resources:
             requests:
               memory: "256Mi"
               cpu: "500m"
             limits:
               memory: "512Mi"
               cpu: "1000m"
           env:
           - name: NODE_ENV
             value: "production"

6.1.3 Database Setup

1. Schema Initialization

   -- init.sql
   CREATE TABLE users (
       id SERIAL PRIMARY KEY,
       username VARCHAR(50) UNIQUE NOT NULL,
       email VARCHAR(100) UNIQUE NOT NULL,
       password_hash VARCHAR(255) NOT NULL,
       created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
   );
   
   CREATE TABLE game_sessions (
       id SERIAL PRIMARY KEY,
       user_id INTEGER REFERENCES users(id),
       score INTEGER NOT NULL,
       duration INTEGER NOT NULL,
       created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
   );
   
   CREATE TABLE neural_networks (
       id SERIAL PRIMARY KEY,
       user_id INTEGER REFERENCES users(id),
       weights JSONB NOT NULL,
       performance_metrics JSONB,
       created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
   );

2. Migration Scripts

   // migrations/001_initial_setup.js
   module.exports = {
       up: async (queryInterface, Sequelize) => {
           await queryInterface.createTable('users', {
               // table definition
           });
           
           await queryInterface.createTable('game_sessions', {
               // table definition
           });
           
           await queryInterface.createTable('neural_networks', {
               // table definition
           });
       },
       
       down: async (queryInterface, Sequelize) => {
           await queryInterface.dropTable('neural_networks');
           await queryInterface.dropTable('game_sessions');
           await queryInterface.dropTable('users');
       }
   };

6.1.4 Monitoring Setup

1. Prometheus Configuration

   # prometheus.yml
   global:
     scrape_interval: 15s
   
   scrape_configs:
     - job_name: 'neural-snake'
       static_configs:
         - targets: ['localhost:3000']
   
     - job_name: 'node-exporter'
       static_configs:
         - targets: ['localhost:9100']

2. Grafana Dashboard

   // dashboard-config.js
   const dashboardConfig = {
       panels: [
           {
               title: 'System Performance',
               type: 'graph',
               metrics: [
                   'cpu_usage',
                   'memory_usage',
                   'network_traffic'
               ]
           },
           {
               title: 'Game Statistics',
               type: 'stat',
               metrics: [
                   'active_games',
                   'average_score',
                   'neural_network_accuracy'
               ]
           }
       ]
   };

6.1.5 Security Configuration

1. SSL Setup

   // ssl-config.js
   const sslConfig = {
       key: fs.readFileSync('path/to/private.key'),
       cert: fs.readFileSync('path/to/certificate.crt'),
       ca: fs.readFileSync('path/to/ca.crt'),
       ciphers: [
           'ECDHE-ECDSA-AES128-GCM-SHA256',
           'ECDHE-RSA-AES128-GCM-SHA256',
           'ECDHE-ECDSA-AES256-GCM-SHA384'
       ].join(':'),
       honorCipherOrder: true,
       minVersion: 'TLSv1.2'
   };

2. Firewall Rules

   # firewall-rules.sh
   #!/bin/bash
   
   # Allow HTTP/HTTPS
   iptables -A INPUT -p tcp --dport 80 -j ACCEPT
   iptables -A INPUT -p tcp --dport 443 -j ACCEPT
   
   # Allow WebSocket
   iptables -A INPUT -p tcp --dport 8080 -j ACCEPT
   
   # Allow monitoring
   iptables -A INPUT -p tcp --dport 9090 -j ACCEPT
   iptables -A INPUT -p tcp --dport 3000 -j ACCEPT
   
   # Default deny
   iptables -A INPUT -j DROP

These deployment requirements ensure a secure, scalable, and maintainable system setup across different environments.