Traffic Steering and Policies
Magic Transit uses intelligent traffic steering to optimize routing decisions and ensure high availability.
Overview
Traffic steering controls how traffic flows from Cloudflare’s edge to origin infrastructure. Policies can be based on geographic proximity, health checks, custom priorities, and business requirements.
Steering Methods
Geographic Steering
Proximity-Based Routing:
Traffic routes to nearest healthy origin
Based on geographic distance
Reduces latency for end users
Use Cases:
Multi-region deployments
Disaster recovery sites
Edge computing architectures
Configuration:
Define origin locations in Cloudflare
Set geographic priorities
Enable automatic failover
Health-Based Steering
Dynamic Routing:
Traffic only sent to healthy origins
Automatic removal of failed endpoints
Instant failover to backup origins
Health Check Integration:
Monitors origin availability
Tests application responsiveness
Validates service functionality
Failover Behavior:
Immediate traffic shift on failure
No manual intervention required
Automatic recovery when health restored
Priority-Based Steering
Weighted Distribution:
Assign priority values to origins
Higher priority receives more traffic
Enables gradual migration or canary deployments
Traffic Splitting:
Percentage-based distribution
A/B testing capabilities
Blue-green deployment support
Custom Policies
Business Rules:
Route by client location
Route by service type
Route by time of day
Route by load or capacity
Advanced Logic:
Combine multiple steering methods
Nested policies for complex scenarios
Override rules for maintenance
Current Configuration
Active Steering Policies
Primary Policy:
Method: Health-based with geographic preference
Primary Origin: pfSense at 198.51.100.1 (example)
Backup Origins: None currently configured
Failover: Automatic on health check failure
Tunnel Steering:
IPv4 Tunnel: Active primary path
IPv6 Tunnel: Active secondary path
Load Balancing: Not currently enabled
Failover: Automatic between tunnels
Origin Configuration
Site 1 (Primary):
Endpoint: 198.51.100.1 (pfSense WAN example)
Tunnels: GRE IPv4 + IPv6
Health Status: Online
Weight: 100 (primary)
Load Balancing
Traffic Distribution
Load balancing distributes traffic across multiple origins:
Methods:
Round Robin: Equal distribution
Least Connections: Send to least busy
Geographic: Route to nearest origin
Hash: Consistent routing for sessions
Session Persistence:
Source IP-based affinity
Cookie-based persistence
Custom session identifiers
Current Setup:
Single origin configuration - load balancing not currently active.
Failover Configuration
Automatic Failover
Trigger Conditions:
Origin health check failure
Tunnel connectivity loss
High latency threshold exceeded
Manual administrator override
Failover Actions:
Mark origin as unhealthy
Stop routing new traffic
Shift traffic to backup origin
Send administrator alerts
Log failover event
Recovery:
Automatic when health restored
Configurable recovery delay
Gradual traffic reintroduction
Validation before full restoration
Manual Failover
Use Cases:
Planned maintenance
Security incidents
Performance optimization
Testing and validation
Process:
Access Cloudflare dashboard
Adjust traffic steering policy
Verify traffic shift completion
Monitor origin performance
Document change in runbook
Performance Optimization
Latency Reduction
Strategies:
Route to geographically nearest edge
Optimize tunnel paths
Minimize hop count
Use direct peering (if available)
Monitoring:
Track latency by region
Identify high-latency paths
Adjust policies to optimize
Capacity Management
Traffic Shaping:
Rate limiting per origin
Connection limits
Bandwidth allocation
QoS policies
Scaling:
Add origins to increase capacity
Distribute traffic based on load
Auto-scale during traffic spikes
DDoS Mitigation
Attack Traffic Handling
At the Edge:
Attack traffic absorbed at Cloudflare
Only clean traffic forwarded via tunnels
Origin infrastructure protected
Mitigation Techniques:
Volumetric attack filtering
Protocol validation
Rate limiting
Challenge pages for suspicious traffic
During Attack:
Traffic steering remains stable
No manual intervention required
Origins continue normal operation
Attacks invisible to origin
Post-Attack Analysis
Reporting:
Attack characteristics and volume
Mitigation effectiveness
Origin impact (should be zero)
Recommendations for improvement
Monitoring and Analytics
Traffic Metrics
Real-Time Monitoring:
Requests per second
Bandwidth utilization
Error rates
Response times
Historical Analysis:
Traffic trends over time
Peak usage periods
Growth projections
Capacity planning
Steering Analytics
Policy Performance:
Traffic distribution by policy
Failover frequency and duration
Health check success rates
Geographic routing effectiveness
Optimization Insights:
Identify bottlenecks
Improve routing decisions
Optimize origin placement
Reduce costs
Best Practices
Policy Design
Recommendations:
Keep policies simple and maintainable
Document policy logic and reasoning
Test policies before production deployment
Review and update regularly
Avoid:
Overly complex nested policies
Conflicting steering rules
Untested failover configurations
Insufficient health check coverage
Maintenance
Regular Tasks:
Review traffic patterns monthly
Update policies for changes
Test failover procedures quarterly
Optimize based on performance data
Change Management:
Plan policy changes carefully
Test in staging environment
Deploy during maintenance windows
Monitor closely after changes
Incident Response
Playbooks:
Document common scenarios
Define escalation procedures
Maintain contact information
Practice incident response
Post-Incident:
Conduct root cause analysis
Update policies if needed
Improve monitoring and alerting
Document lessons learned
Advanced Features
Anycast Consistency
Traffic steering ensures consistent Anycast behavior:
Same policies across all edges
Synchronized configuration updates
Uniform attack mitigation
Global availability guarantees
Edge Computing Integration
Steering policies can integrate with Cloudflare Workers:
Execute logic at the edge
Custom routing decisions
A/B testing and experiments
Personalization and optimization
Multi-Cloud Routing
Route traffic across multiple cloud providers:
AWS, Azure, GCP origins
Hybrid cloud architectures
Cloud migration support
Multi-cloud redundancy
Future Enhancements
Planned steering improvements:
Additional backup origins
Geographic load balancing
Advanced traffic analysis
Automated policy optimization