Overview
This guide covers the infrastructure and software requirements for deploying Praxos to production.System Requirements
Minimum Specifications
For small deployments (1-10 users):- CPU: 2 cores
- RAM: 4 GB
- Storage: 20 GB
- Network: Stable internet connection
Recommended Specifications
For production (10-100 users):- CPU: 4-8 cores
- RAM: 8-16 GB
- Storage: 50-100 GB SSD
- Network: High-bandwidth, low-latency
High-Scale Specifications
For enterprise (100+ users):- CPU: 16+ cores (distributed)
- RAM: 32+ GB (per pod)
- Storage: 500+ GB SSD
- Network: Load balanced, redundant
Software Dependencies
Required
- Python: 3.11 or higher
- Docker: 20.10 or higher (for containerized deployment)
- Kubernetes: 1.24+ (for orchestration)
- MongoDB: 4.4+ or Azure Cosmos DB
Optional
- Redis: 6.0+ (for local queue, alternative to Azure Service Bus)
- NGINX: Load balancing and SSL termination
- Prometheus: Monitoring and metrics
- Grafana: Visualization
Cloud Services
Azure (Recommended)
- Azure Kubernetes Service (AKS) - Container orchestration
- Azure Cosmos DB - Primary database
- Azure Service Bus - Message queue
- Azure Key Vault - Secrets management
- Azure Container Registry - Docker images
- Azure Storage - Blob storage
- Application Insights - Monitoring
AWS (Alternative)
- EKS - Kubernetes
- DocumentDB - MongoDB compatible
- SQS - Message queue
- Secrets Manager - Secrets
- ECR - Container registry
- S3 - Object storage
- CloudWatch - Monitoring
GCP (Alternative)
- GKE - Kubernetes
- Cloud Firestore or MongoDB Atlas - Database
- Cloud Tasks - Message queue
- Secret Manager - Secrets
- Container Registry - Images
- Cloud Storage - Object storage
- Cloud Monitoring - Observability
Database Requirements
MongoDB
Minimum:- Version: 4.4+
- Storage: 10 GB
- RAM: 4 GB
- Connection pooling: 100 connections
- Version: 6.0+
- Storage: 50+ GB SSD
- RAM: 8+ GB
- Replica set with 3 nodes
- Connection pooling: 500 connections
- users
- conversations
- user_context
- integrations
- tasks
- logs
Azure Cosmos DB
Configuration:- API: MongoDB
- Throughput: 1000 RU/s minimum
- Consistency: Session (default)
- Multi-region: Recommended for HA
Message Queue
Azure Service Bus
Configuration:- Tier: Standard or Premium
- Queues: agent_tasks, scheduled_tasks
- Topic/Subscriptions: Optional for pub/sub
- Max message size: 256 KB
- Message TTL: 14 days
Redis (Alternative)
Configuration:- Version: 6.0+
- Memory: 2-8 GB
- Persistence: RDB + AOF
- Cluster mode: For high availability
API Keys & Credentials
Required
-
LLM Provider
- Portkey API Key
- OpenAI API Key (primary)
- Google AI API Key (secondary)
-
Database
- MongoDB connection string
- Or Azure Cosmos DB endpoint + key
-
Message Queue
- Azure Service Bus connection string
- Or Redis connection URL
Integration-Specific
Configure based on enabled integrations:- Telegram: Bot token
- Discord: Bot token, Application ID
- Slack: Bot token, Signing secret
- Google: Client ID, Client Secret
- Microsoft: Client ID, Client Secret, Tenant ID
- Notion: Integration token
- Trello: API key, Token
Networking Requirements
Inbound
- Port 8000: HTTP/HTTPS (API)
- Port 443: HTTPS (webhooks)
Outbound
Must allow connections to:- LLM providers (OpenAI, Google)
- Integration APIs (Google, Microsoft, Telegram, etc.)
- Database servers
- Message queue services
Webhooks
Public HTTPS endpoint required for:- Telegram webhooks
- Discord webhooks
- Slack events
- Google Calendar notifications
- Microsoft Graph subscriptions
SSL/TLS
Requirements
- Valid SSL certificate
- TLS 1.2 or higher
- HTTPS for all external endpoints
Options
- Let’s Encrypt (free)
- Commercial certificate
- Cloud provider managed certificate
- Kubernetes cert-manager
Domain & DNS
Domain Requirements
- Production domain (e.g., hetairos.yourcompany.com)
- Optional: Separate domains per environment
DNS Records
Storage Requirements
Application Storage
- Docker images: 2-5 GB
- Logs: 10-50 GB (with rotation)
- Temporary files: 5-10 GB
Database Storage
- User data: ~10 MB per active user
- Conversation history: ~50 MB per active user
- Growth rate: ~5-10 GB/month (100 users)
Monitoring & Logging
Metrics Collection
- CPU and memory usage
- Request latency
- Error rates
- Queue depth
- Database performance
Log Aggregation
- Application logs
- Error logs
- Access logs
- Audit logs
Tools
- Prometheus: Metrics
- Grafana: Dashboards
- ELK Stack: Logs (Elasticsearch, Logstash, Kibana)
- Azure Monitor: All-in-one (if using Azure)
Backup & Disaster Recovery
Database Backups
- Frequency: Daily (minimum)
- Retention: 30 days (minimum)
- Point-in-time recovery: Enabled
- Cross-region replication: Recommended
Configuration Backups
- Environment variables
- Kubernetes manifests
- SSL certificates
- Integration credentials
RTO/RPO Targets
Recommended:- RTO (Recovery Time Objective): < 4 hours
- RPO (Recovery Point Objective): < 1 hour
Security Requirements
Authentication & Authorization
- Service account authentication
- Role-based access control (RBAC)
- API key rotation
- Secret management
Data Protection
- Encryption at rest (database, storage)
- Encryption in transit (TLS)
- Secrets in Key Vault/Secrets Manager
- No credentials in code or config files
Compliance
Consider requirements for:- GDPR (EU users)
- CCPA (California users)
- SOC 2 (enterprise)
- HIPAA (healthcare)
Scalability Considerations
Horizontal Scaling
- Stateless workers
- Load balancing
- Auto-scaling based on:
- CPU usage
- Memory usage
- Queue depth
Vertical Scaling
- Increase pod resources
- Database tier upgrades
- Message queue tier upgrades
Performance Targets
- Message processing: < 5 seconds (simple)
- API response time: < 500ms (p95)
- Concurrent users: 100+ per pod
- Queue throughput: 100+ messages/sec
Cost Estimation
Small Deployment (10 users)
- Compute: $50-100/month
- Database: $25-50/month
- Queue: $10-25/month
- LLM API: $50-200/month
- Total: ~$150-400/month
Medium Deployment (50 users)
- Compute: $200-400/month
- Database: $100-200/month
- Queue: $25-50/month
- LLM API: $250-1000/month
- Total: ~$600-1700/month
Large Deployment (100+ users)
- Compute: $500-1000/month
- Database: $300-600/month
- Queue: $50-100/month
- LLM API: $500-2500/month
- Total: ~$1400-4200/month
Costs vary significantly based on usage patterns, enabled integrations, and cloud provider.
Pre-Deployment Checklist
- Cloud infrastructure provisioned
- Database created and configured
- Message queue set up
- Secrets stored in Key Vault
- Domain and SSL configured
- Monitoring and logging enabled
- Backup strategy implemented
- Load balancer configured
- Network security rules set
- API keys obtained for all integrations
- Deployment manifests prepared
- CI/CD pipeline configured (optional)