Overview
Deploy and scale your BroxiAI workflows in production environments
This guide covers deploying BroxiAI workflows to production environments with best practices for scalability, security, and reliability.
Deployment Architecture
Deployment Options
BroxiAI Cloud (Recommended)
Managed Service Benefits
Fully managed infrastructure
Automatic scaling and load balancing
Built-in monitoring and logging
Enterprise-grade security
99.9% uptime SLA
Deployment Process
Develop and test your workflows in the workspace
Configure production environment variables
Publish workflows via the API Access panel
Monitor performance and usage
API Integration
Deploy your workflows by integrating with BroxiAI's REST API:
Endpoint Structure
https://api.broxi.ai/v1/flows/{flow_id}/runAuthentication
curl -X POST "https://api.broxi.ai/v1/flows/your-flow-id/run" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"input": "Your input text"}'Webhook Deployment
Set up webhooks for event-driven workflows:
Configuration
{
"webhook_url": "https://your-app.com/webhook",
"events": ["flow.completed", "flow.failed"],
"secret": "your-webhook-secret"
}For detailed webhook setup, see Webhook Guide.
Production Architecture
Recommended Architecture
graph TB
A[Client Applications] --> B[Load Balancer]
B --> C[BroxiAI API Gateway]
C --> D[Workflow Engine]
D --> E[AI Models]
D --> F[Vector Databases]
D --> G[External APIs]
H[Monitoring] --> D
I[Logging] --> DComponents
Frontend Layer
Web applications
Mobile apps
Desktop applications
Third-party integrations
API Layer
BroxiAI REST API
Authentication service
Rate limiting
Request routing
Processing Layer
Workflow execution engine
AI model inference
Vector search
Data processing
Storage Layer
Vector databases
Document stores
Cache layers
File storage
Scalability Considerations
Horizontal Scaling
Auto-scaling Features
Automatic instance provisioning
Load-based scaling triggers
Geographic distribution
Resource optimization
Performance Optimization
Component-level caching
Connection pooling
Batch processing
Asynchronous execution
Vertical Scaling
Resource Allocation
CPU optimization for LLM inference
Memory allocation for vector operations
Storage optimization for embeddings
Network bandwidth for API calls
Security Best Practices
Authentication & Authorization
API Security
Use strong API tokens
Implement JWT for stateless auth
Configure role-based access control
Enable audit logging
Network Security
HTTPS/TLS encryption
VPN or private network access
IP whitelisting
DDoS protection
Data Protection
Encryption
Data in transit (TLS 1.3)
Data at rest (AES-256)
API key encryption
Secure key management
Privacy Controls
Data retention policies
GDPR compliance
Data anonymization
Secure data deletion
Monitoring & Observability
Key Metrics
Performance Metrics
Response time and latency
Throughput and requests per second
Error rates and success rates
Resource utilization
Business Metrics
API usage and costs
User engagement
Workflow completion rates
Feature adoption
Monitoring Tools
Built-in Monitoring
BroxiAI dashboard analytics
Real-time performance metrics
Usage tracking
Cost monitoring
External Monitoring
Application Performance Monitoring (APM)
Infrastructure monitoring
Log aggregation
Alert management
Logging Strategy
Log Levels
{
"error": "System errors and failures",
"warn": "Performance issues and warnings",
"info": "General application flow",
"debug": "Detailed diagnostic information"
}Log Aggregation
Centralized logging systems
Log rotation and retention
Structured logging (JSON)
Search and analysis tools
Disaster Recovery
Backup Strategies
Workflow Backups
Automated daily backups
Version control integration
Cross-region replication
Point-in-time recovery
Data Backups
Vector database backups
Configuration backups
API key backups
User data backups
Recovery Procedures
Incident Response
Detect and assess the incident
Activate incident response team
Implement recovery procedures
Communicate with stakeholders
Post-incident review and improvements
Recovery Time Objectives
RTO (Recovery Time Objective): < 4 hours
RPO (Recovery Point Objective): < 1 hour
Data integrity verification
Service health validation
Cost Optimization
Usage Optimization
Resource Management
Monitor API usage patterns
Optimize model selection
Cache frequently used results
Implement rate limiting
Cost Monitoring
Set up usage alerts
Track costs by project/team
Analyze cost trends
Optimize resource allocation
Billing Management
Cost Control
Set spending limits
Configure budget alerts
Track usage attribution
Optimize subscription plans
Deployment Checklist
Pre-deployment
Deployment
Post-deployment
Next Steps
After deployment:
Getting Help
For deployment assistance:
Review our best practices guide
Contact enterprise support
Join our community forums
Schedule a consultation call
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