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

1. Develop and test your workflows in the workspace

2. Configure production environment variables

3. Publish workflows via the API Access panel

4. 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}/run

Authentication

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] --> D

Components

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

1. Detect and assess the incident

2. Activate incident response team

3. Implement recovery procedures

4. Communicate with stakeholders

5. 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

• Test workflows in staging environment

• Configure production environment variables

• Set up monitoring and alerting

• Validate security configurations

• Prepare rollback procedures

Deployment

• Deploy to production environment

• Verify workflow functionality

• Check monitoring dashboards

• Validate performance metrics

• Test error handling

Post-deployment

• Monitor system performance

• Track business metrics

• Collect user feedback

• Plan optimization improvements

• Schedule regular reviews

Next Steps

After deployment:

• Monitor Performance

• Security Best Practices

• Scaling Strategies

• Troubleshooting

Getting Help

For deployment assistance:

• Review our best practices guide

• Contact enterprise support

• Join our community forums

• Schedule a consultation call