> For the complete documentation index, see [llms.txt](https://docs.buzzy.buzz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.buzzy.buzz/advanced-deployment-settings/installation/deployment/pre-installation-planning.md).

# Pre-installation Planning

Before installing Buzzy, it's important to plan your deployment to ensure optimal performance, security, and scalability. This guide covers the key considerations and requirements for a successful Buzzy installation.

### Table of contents

1. [System requirements](#system-requirements)
2. [Architecture planning](#architecture-planning)
3. [Infrastructure requirements](#infrastructure-requirements)
4. [Security considerations](#security-considerations)
5. [Capacity planning](#capacity-planning)
6. [Network requirements](#network-requirements)

***

### System requirements

#### Minimum Requirements

* **CPU**: 2 vCPUs per service
* **Memory**: 4GB RAM per service
* **Storage**: 20GB available disk space
* **Network**: Reliable internet connection with adequate bandwidth

#### Recommended Requirements

* **CPU**: 4+ vCPUs per service for production workloads
* **Memory**: 8GB+ RAM per service for optimal performance
* **Storage**: SSD storage with 100GB+ available space
* **Network**: High-speed connection with redundancy

#### Supported Platforms

* **Kubernetes**: Version 1.16 or higher
* **Docker**: Version 19.03 or higher
* **Operating Systems**: Linux (Ubuntu 18.04+, CentOS 7+, RHEL 7+)
* **Cloud Platforms**: AWS, Azure, Google Cloud, IBM Cloud

### Architecture planning

#### Deployment Models

* **Single-node**: Development and testing environments
* **Multi-node**: Production environments with high availability
* **Hybrid**: Combination of on-premises and cloud resources
* **Multi-region**: Global deployments with regional presence

#### Service Components

* **Buzzy Main**: Core application service
* **Buzzy Logging**: Dedicated logging and analytics service
* **Database**: MongoDB cluster for data persistence
* **Object Storage**: S3-compatible storage for files and assets
* **Load Balancer**: Traffic distribution and SSL termination

### Infrastructure requirements

#### Database Requirements

* **MongoDB**: Version 4.2 or higher
* **Replica Set**: Minimum 3 nodes for production
* **Storage**: Fast SSD storage with adequate IOPS
* **Backup**: Regular automated backups with point-in-time recovery

#### Object Storage Requirements

* **S3 Compatibility**: AWS S3 or compatible service (MinIO, etc.)
* **Buckets**: Two buckets (private and public)
* **Access Control**: Proper IAM policies and bucket permissions
* **CDN**: Content delivery network for global performance

#### Load Balancer Requirements

* **SSL/TLS**: Certificate management and termination
* **Health Checks**: Service health monitoring
* **Session Affinity**: Sticky sessions if required
* **Rate Limiting**: Protection against abuse

### Security considerations

#### Network Security

* **Firewall Rules**: Restrict access to necessary ports only
* **VPN Access**: Secure administrative access
* **Network Segmentation**: Isolate services in separate subnets
* **DDoS Protection**: Protection against distributed attacks

#### Data Security

* **Encryption**: Data encryption in transit and at rest
* **Key Management**: Secure storage and rotation of encryption keys
* **Access Controls**: Role-based access control implementation
* **Audit Logging**: Comprehensive activity logging

#### Authentication and Authorization

* **SSO Integration**: Single sign-on with existing identity providers
* **Multi-factor Authentication**: Additional security for admin accounts
* **Password Policies**: Strong password requirements
* **Session Management**: Secure session handling and timeout

### Capacity planning

#### User Load Estimation

* **Concurrent Users**: Expected number of simultaneous users
* **Peak Usage**: Maximum expected load during peak hours
* **Growth Projections**: Anticipated user growth over time
* **Usage Patterns**: Understanding of typical user behavior

#### Resource Scaling

* **Horizontal Scaling**: Adding more service instances
* **Vertical Scaling**: Increasing resources per instance
* **Auto-scaling**: Automatic scaling based on demand
* **Load Testing**: Performance testing under expected load

#### Storage Planning

* **Data Growth**: Estimated data storage requirements
* **File Storage**: Expected file upload volumes
* **Backup Storage**: Additional space for backups and archives
* **Log Storage**: Space requirements for audit and system logs

### Network requirements

#### Bandwidth Requirements

* **Internet Connectivity**: Adequate bandwidth for user traffic
* **Internal Network**: High-speed connections between services
* **CDN Integration**: Content delivery for global users
* **Monitoring**: Network performance monitoring

#### DNS and Domain Management

* **Domain Names**: Registered domains for services
* **SSL Certificates**: Valid certificates for HTTPS
* **DNS Configuration**: Proper DNS records and failover
* **Subdomain Strategy**: Organization of service endpoints

#### Port Requirements

* **HTTP/HTTPS**: Ports 80 and 443 for web traffic
* **Database**: MongoDB default port 27017
* **Object Storage**: MinIO default port 9000
* **Internal Communication**: Various ports for service communication

***
