🏠 Self-Host & Enterprise Deployment

Deploy Aicser Platform in your own infrastructure with enterprise-grade security, scalability, and customization.

Self-hosting Aicser Platform gives you complete control over your data, infrastructure, and deployment while maintaining all the AI-powered analytics capabilities. Whether you're deploying for a small team or scaling to enterprise levels, we provide comprehensive deployment guides and best practices.

🎯 Why Self-Host?

Complete Data Control

🔒 Data Sovereignty: Keep your data within your infrastructure
🌍 Geographic Compliance: Deploy in your preferred regions
🔐 Security Control: Implement your security policies and controls
📊 Audit Trails: Full visibility into data access and usage

Enterprise Requirements

🏢 Compliance: Meet SOC 2, GDPR, HIPAA, and industry standards
🔗 Integration: Connect with existing enterprise systems
📈 Scalability: Scale to thousands of users and millions of records
⚡ Performance: Optimize for your specific workload patterns

Cost Optimization

💰 Predictable Costs: No per-user licensing fees
🔄 Resource Efficiency: Optimize for your infrastructure
📊 Usage Analytics: Monitor and optimize resource consumption
🆓 Open Source: Core platform is completely free

🚀 Deployment Options

1. Docker Compose (Recommended for Small-Medium)

Best for: Teams of 5-50 users, development environments, quick deployment

Features:

✅ 5-minute setup with single command
✅ Production-ready configuration
✅ Easy updates and maintenance
✅ Built-in monitoring and logging

Resource Requirements:

CPU: 4-8 cores
RAM: 8-16GB
Storage: 100GB+ SSD
Network: Standard internet connectivity

2. Kubernetes (Enterprise Scale)

Best for: Large teams (50+ users), high availability, multi-region deployment

Features:

✅ High availability with automatic failover
✅ Horizontal scaling across multiple nodes
✅ Multi-region deployment support
✅ Advanced monitoring and alerting

Resource Requirements:

CPU: 8+ cores per node
RAM: 16GB+ per node
Storage: 500GB+ per node (SSD)
Network: High-bandwidth, low-latency

3. Cloud-Native (AWS, Azure, GCP)

Best for: Cloud-first organizations, managed services preference

Features:

✅ Managed databases and services
✅ Auto-scaling based on demand
✅ Built-in security and compliance
✅ Global distribution with CDN

Resource Requirements:

Cloud Services: RDS, ECS/EKS, Load Balancer
Storage: S3, EBS, or equivalent
Networking: VPC, Security Groups
Monitoring: CloudWatch, Azure Monitor, etc.

4. On-Premises (Traditional Infrastructure)

Best for: Air-gapped environments, strict compliance requirements

Features:

✅ Complete isolation from external networks
✅ Custom security implementations
✅ Legacy system integration
✅ Regulatory compliance support

Resource Requirements:

Servers: Physical or virtual machines
Storage: SAN, NAS, or local storage
Network: Internal network infrastructure
Security: Firewalls, IDS/IPS, VPN

🏗️ Architecture Overview

Production Architecture

graph TB
    subgraph "Load Balancer"
        LB[NGINX/HAProxy]
    end
    
    subgraph "Application Layer"
        CC[Chat2Chart Client]
        CS[Chat2Chart Server]
        AUTH[Auth Service]
        CUBE[Cube.js Analytics]
    end
    
    subgraph "Data Layer"
        PG[(PostgreSQL)]
        REDIS[(Redis Cache)]
        S3[(Object Storage)]
    end
    
    subgraph "Monitoring"
        PROM[Prometheus]
        GRAF[Grafana]
        LOGS[Centralized Logging]
    end
    
    LB --> CC
    LB --> CS
    LB --> AUTH
    LB --> CUBE
    
    CS --> PG
    CS --> REDIS
    CS --> S3
    AUTH --> PG
    CUBE --> PG
    
    CS --> PROM
    AUTH --> PROM
    CUBE --> PROM

Component Responsibilities

Component	Purpose	Scaling Strategy
Load Balancer	Traffic distribution, SSL termination	Horizontal scaling
Chat2Chart Client	User interface, chart rendering	CDN + multiple instances
Chat2Chart Server	AI analytics, chart generation	Horizontal scaling
Auth Service	Authentication, authorization	Horizontal scaling
Cube.js	High-performance analytics	Horizontal scaling
PostgreSQL	Primary data storage	Read replicas + sharding
Redis	Caching, sessions	Cluster mode
Monitoring	Observability, alerting	Centralized collection

🔧 Deployment Prerequisites

System Requirements

Minimum Production Requirements:

Operating System: Linux (Ubuntu 20.04+, CentOS 8+, RHEL 8+)
CPU: 4 cores (8+ recommended)
RAM: 8GB (16GB+ recommended)
Storage: 100GB SSD (500GB+ recommended)
Network: 100Mbps (1Gbps+ recommended)

Recommended Production Requirements:

Operating System: Ubuntu 22.04 LTS or RHEL 9
CPU: 8+ cores with high clock speed
RAM: 32GB+ for optimal performance
Storage: NVMe SSD with RAID configuration
Network: 10Gbps with low latency

Software Dependencies

Required Software:

Docker: 24.0+ (for containerized deployment)
Docker Compose: 2.20+ (for orchestration)
Git: 2.30+ (for code management)
Make: 4.0+ (for automation scripts)

Optional Software:

Kubernetes: 1.28+ (for orchestration)
Helm: 3.12+ (for package management)
Ansible: 2.15+ (for automation)
Terraform: 1.5+ (for infrastructure as code)

Network Requirements

Port Configuration:

Port	Service	Purpose	External Access
80	HTTP	Web interface	Optional (redirect to 443)
443	HTTPS	Secure web interface	Required
3000	Chat2Chart Client	Frontend application	Required
8000	Chat2Chart Server	Backend API	Required
5000	Auth Service	Authentication API	Required
4000	Cube.js	Analytics engine	Required
5432	PostgreSQL	Database	Internal only
6379	Redis	Caching	Internal only

Security Considerations:

Firewall rules for port access control
SSL/TLS certificates for secure communication
VPN access for internal services
Network segmentation for security isolation

🚀 Quick Start Deployment

1. Docker Compose Deployment

Prerequisites:

# Install Docker and Docker Compose
curl -fsSL https://get.docker.com | sh
sudo usermod -aG docker $USER
sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose

Deployment:

# Clone repository
git clone https://github.com/aicser-platform/aicser-world
cd aicser-world

# Configure environment
cp env.example .env
nano .env  # Edit with your configuration

# Start services
docker-compose up -d

# Check status
docker-compose ps

Configuration:

# Key environment variables
AI_PROVIDER=openai
OPENAI_API_KEY=your_api_key_here
JWT_SECRET=your_jwt_secret_here
POSTGRES_PASSWORD=secure_password_here

2. Production Configuration

Security Hardening:

# Generate strong secrets
openssl rand -hex 32  # JWT secret
openssl rand -hex 32  # Encryption key

# Set file permissions
chmod 600 .env
chmod 600 ssl/*.pem

SSL Configuration:

# Obtain SSL certificate (Let's Encrypt)
sudo certbot certonly --standalone -d your-domain.com

# Configure NGINX with SSL
cp nginx/nginx.conf.example nginx/nginx.conf
# Edit nginx.conf with your domain and SSL paths

Database Setup:

# Create production database
docker-compose exec postgres psql -U aicser_user -d postgres
CREATE DATABASE aicser_platform_prod;
GRANT ALL PRIVILEGES ON DATABASE aicser_platform_prod TO aicser_user;

🔒 Security & Compliance

Security Best Practices

Authentication & Authorization:

Multi-factor authentication (MFA) for all users
Role-based access control (RBAC) with least privilege
Session management with configurable timeouts
Password policies with complexity requirements

Data Protection:

Encryption at rest for all sensitive data
Encryption in transit with TLS 1.3
Data masking for sensitive fields
Audit logging for all data access

Network Security:

Network segmentation with VLANs
Intrusion detection and prevention
Regular security scanning and updates
VPN access for remote administration

Compliance Features

SOC 2 Type II:

Access controls and monitoring
Change management and approval
Incident response procedures
Regular security assessments

GDPR Compliance:

Data portability and export
Right to be forgotten implementation
Consent management and tracking
Data processing agreements

HIPAA Compliance:

PHI protection and encryption
Access logging and monitoring
Business associate agreements
Regular compliance audits

📊 Monitoring & Observability

Monitoring Stack

Metrics Collection:

Prometheus: Time-series metrics collection
Grafana: Visualization and dashboards
Node Exporter: System metrics
Custom exporters: Application-specific metrics

Logging:

Centralized logging with ELK stack
Structured logging in JSON format
Log rotation and retention policies
Real-time log analysis and alerting

Alerting:

Prometheus Alertmanager: Alert routing and grouping
PagerDuty/Slack: Notification delivery
Escalation policies for critical issues
Alert correlation and deduplication

Key Metrics to Monitor

Application Metrics:

Response times by endpoint
Error rates and types
Throughput and concurrency
AI model performance and accuracy

Infrastructure Metrics:

CPU, memory, and disk utilization
Network throughput and latency
Database performance and connections
Container health and resource usage

Business Metrics:

User activity and engagement
Chart generation success rates
Data processing volumes
AI query complexity and accuracy

🔄 Maintenance & Updates

Update Strategy

Regular Maintenance:

Security updates: Weekly patches
Feature updates: Monthly releases
Major versions: Quarterly updates
Database maintenance: Monthly optimization

Update Process:

# Backup current deployment
docker-compose exec postgres pg_dump -U aicser_user aicser_platform > backup.sql

# Update code
git pull origin main

# Update containers
docker-compose pull
docker-compose up -d

# Verify deployment
docker-compose ps
curl http://localhost:3000/health

Rollback Strategy:

Version tagging for all deployments
Database backups before updates
Quick rollback to previous version
Health checks after deployment

Backup & Recovery

Backup Strategy:

Database backups: Daily with point-in-time recovery
Configuration backups: Version-controlled in Git
Data backups: Automated with retention policies
Disaster recovery: Tested quarterly

Recovery Procedures:

# Database recovery
docker-compose exec postgres psql -U aicser_user -d aicser_platform < backup.sql

# Configuration recovery
git checkout v1.2.3
docker-compose up -d

# Full system recovery
./scripts/recovery.sh --from-backup=2024-01-15

🚀 Scaling & Performance

Horizontal Scaling

Application Scaling:

# docker-compose.override.yml
services:
  chat2chart-server:
    deploy:
      replicas: 3
    environment:
      - WORKER_PROCESSES=4
  
  chat2chart-client:
    deploy:
      replicas: 2
    environment:
      - NODE_ENV=production

Database Scaling:

Read replicas for query distribution
Connection pooling for efficient connections
Query optimization with AI assistance
Indexing strategies for performance

Caching Strategy:

Redis clustering for high availability
Multi-level caching (application, database, CDN)
Cache invalidation strategies
Performance monitoring and optimization

Performance Optimization

Query Optimization:

AI-powered query planning and optimization
Database indexing based on usage patterns
Query caching for repeated requests
Parallel processing for complex analyses

Resource Optimization:

Container resource limits and requests
Database connection pooling and management
Memory management and garbage collection
Network optimization and compression

🆘 Support & Troubleshooting

Common Issues

Service Won't Start:

# Check logs
docker-compose logs chat2chart-server

# Verify configuration
docker-compose config

# Check resource usage
docker stats

Performance Issues:

# Monitor resource usage
htop
iotop
nethogs

# Check database performance
docker-compose exec postgres psql -c "SELECT * FROM pg_stat_activity;"

Connectivity Issues:

# Test network connectivity
telnet localhost 3000
curl -v http://localhost:3000/health

# Check firewall rules
sudo ufw status
sudo iptables -L

Getting Help

Support Resources:

📖 Documentation - Comprehensive guides
🐛 GitHub Issues - Bug reports
💬 Discussions - Community help
📧 Enterprise Support - Professional support

Professional Services:

Implementation consulting and setup
Performance optimization and tuning
Security assessment and hardening
Training and certification programs

Ready to deploy Aicser in your infrastructure? Start with Docker Compose →

🎯 Why Self-Host?​

Complete Data Control​

Enterprise Requirements​

Cost Optimization​

🚀 Deployment Options​

1. Docker Compose (Recommended for Small-Medium)​

2. Kubernetes (Enterprise Scale)​

3. Cloud-Native (AWS, Azure, GCP)​

4. On-Premises (Traditional Infrastructure)​

🏗️ Architecture Overview​

Production Architecture​

Component Responsibilities​

🔧 Deployment Prerequisites​

System Requirements​

Software Dependencies​

Network Requirements​

🚀 Quick Start Deployment​

1. Docker Compose Deployment​

2. Production Configuration​

🔒 Security & Compliance​

Security Best Practices​

Compliance Features​

📊 Monitoring & Observability​

Monitoring Stack​

Key Metrics to Monitor​

🔄 Maintenance & Updates​

Update Strategy​

Backup & Recovery​

🚀 Scaling & Performance​

Horizontal Scaling​

Performance Optimization​

🆘 Support & Troubleshooting​

Common Issues​

Getting Help​

🎯 Why Self-Host?

Complete Data Control

Enterprise Requirements

Cost Optimization

🚀 Deployment Options

1. Docker Compose (Recommended for Small-Medium)

2. Kubernetes (Enterprise Scale)

3. Cloud-Native (AWS, Azure, GCP)

4. On-Premises (Traditional Infrastructure)

🏗️ Architecture Overview

Production Architecture

Component Responsibilities

🔧 Deployment Prerequisites

System Requirements

Software Dependencies

Network Requirements

🚀 Quick Start Deployment

1. Docker Compose Deployment

2. Production Configuration

🔒 Security & Compliance

Security Best Practices

Compliance Features

📊 Monitoring & Observability

Monitoring Stack

Key Metrics to Monitor

🔄 Maintenance & Updates

Update Strategy

Backup & Recovery

🚀 Scaling & Performance

Horizontal Scaling

Performance Optimization

🆘 Support & Troubleshooting

Common Issues

Getting Help