Multi-CDN Architecture: Why EDNS Client Subnet Matters

Learn how Multi-CDN architectures leverage EDNS Client Subnet for intelligent traffic routing and why fast DNS propagation is critical for optimal performance

What is Multi-CDN?

Multi-CDN is an architecture where content is distributed across multiple Content Delivery Network providers simultaneously. This approach maximizes availability, performance, and geographic coverage by intelligently routing users to the best-performing CDN based on real-time conditions.

Key Benefits:

Redundancy

If one CDN experiences an outage, traffic automatically routes to healthy CDNs

Performance

Users connect to the fastest CDN based on their location and network conditions

Cost Optimization

Balance traffic across CDNs based on commit levels and pricing tiers

Global Coverage

Leverage each CDN's strengths in different geographic regions

Industry Fact: Major streaming services and e-commerce platforms typically use 3-5 CDN providers to ensure 99.99% availability and optimal performance worldwide.

Understanding EDNS Client Subnet (ECS)

EDNS Client Subnet (RFC 7871) is a DNS extension that includes part of the end-user's IP address in DNS queries. This enables authoritative DNS servers to make routing decisions based on the actual user's location rather than the recursive resolver's location.

How ECS Works:

  1. 1.User queries example.com through their ISP's resolver
  2. 2.Resolver adds ECS data (e.g., 192.0.2.0/24) to the DNS query
  3. 3.Authoritative DNS sees the user is in subnet 192.0.2.0/24
  4. 4.DNS returns the optimal CDN endpoint for that subnet

Why ECS is Critical for Multi-CDN:

Accurate Geolocation

Without ECS, users behind public DNS resolvers (8.8.8.8, 1.1.1.1) would all appear to come from the resolver's location, leading to suboptimal CDN selection.

ISP-Specific Routing

Route users to CDN nodes with the best peering arrangements with their specific ISP.

Subnet-Level Optimization

Make routing decisions at the subnet level for enterprise networks with specific requirements.

Privacy Note: ECS only transmits a subnet prefix (typically /24 for IPv4 or /56 for IPv6), not the full IP address, balancing functionality with user privacy.

How Routing Decisions Work

Multi-CDN routing decisions combine multiple data points to select the optimal CDN endpoint. Let's examine a real-world example:

Example Query:

Domain: cdn.example.com

User IP: 98.137.11.163 (via ECS)

Region: North America - United States - Virginia

ASN: 701 (Verizon)

Decision Factors:

1

Geographic Location

User is in Virginia, so prioritize CDNs with strong East Coast presence

2

ASN Performance

Check real-time performance metrics for ASN 701 (Verizon) across all CDNs

3

Peering Relationships

CDN-A has direct peering with Verizon in Ashburn, VA - optimal choice

4

Current Load & Health

CDN-A Ashburn PoP is at 45% capacity with 0.8ms processing time

5

Cost Considerations

Within monthly commit for CDN-A; would incur overage charges on CDN-B

Final Decision:

Route to CDN-A's Ashburn, VA PoP (IP: 151.101.1.140) based on optimal peering, low latency (2ms), and cost efficiency.

DNS Provider Requirements

Multi-CDN architectures demand specific capabilities from DNS providers to function effectively:

Fast Propagation (<60 seconds)

When RUM data indicates performance degradation, DNS changes must propagate globally within seconds.

  • • Anycast network with 100+ PoPs globally
  • • Sub-second internal propagation between nodes
  • • No caching delays in record updates
  • • Real-time configuration push capabilities

Ultra-Low Query Resolution (<10ms)

Every millisecond of DNS resolution directly impacts user experience.

  • • Global anycast with local PoPs
  • • Optimized query processing pipelines
  • • Efficient ECS handling without lookup penalties
  • • Smart caching strategies

Advanced Traffic Management

Sophisticated routing logic based on multiple real-time factors.

  • • Geo-routing with city-level precision
  • • ASN-based routing rules
  • • Weighted load balancing
  • • Health checking and automatic failover
  • • A/B testing capabilities

API-Driven Updates

Programmatic control for real-time traffic management.

  • • RESTful APIs with sub-second response times
  • • Bulk update capabilities
  • • Webhook notifications for changes
  • • Rate limiting suitable for automation

Important: Traditional DNS providers with TTL-based caching and manual updates cannot support the dynamic requirements of Multi-CDN architectures. Choose providers specifically designed for real-time traffic management.

Real User Monitoring (RUM) Integration

RUM data provides the intelligence layer for Multi-CDN decision-making by collecting real-time performance metrics from actual users.

RUM Data Collection:

// Example RUM beacon data
{
  "timestamp": "2024-01-20T15:30:45Z",
  "user": {
    "ip_subnet": "98.137.11.0/24",
    "asn": 701,
    "geo": {
      "country": "US",
      "region": "VA",
      "city": "Richmond"
    }
  },
  "performance": {
    "dns_lookup": 12,
    "tcp_connect": 28,
    "ssl_handshake": 45,
    "ttfb": 156,
    "download_time": 234,
    "total_time": 475
  },
  "cdn": "cdn-a",
  "pop": "iad01",
  "cache_status": "HIT"
}

Real-Time Processing Pipeline:

1

Data Ingestion

Collect millions of RUM beacons per second via high-throughput streaming

2

Aggregation

Calculate P50, P90, P99 latencies per ASN/Region/CDN combination

3

Anomaly Detection

Identify performance degradation using ML models and statistical analysis

4

Rule Engine

Generate routing rules based on performance thresholds and business logic

5

DNS Update

Push routing changes to DNS provider via API in real-time

Performance Tip: Process RUM data using stream processing frameworks like Apache Flink or Kafka Streams to achieve sub-second decision latency.

Implementation Best Practices

1. DNS Configuration

; Example Multi-CDN DNS configuration
cdn.example.com.   30 IN A   151.101.1.140    ; CDN-A (primary)
cdn.example.com.   30 IN A   104.16.123.96    ; CDN-B (secondary)
cdn.example.com.   30 IN A   13.224.160.65    ; CDN-C (tertiary)

; With traffic management rules:
; - ASN 701 (Verizon) → CDN-A (100%)
; - ASN 7922 (Comcast) → CDN-B (70%), CDN-C (30%)
; - Default → Round-robin all CDNs

2. Health Checking

  • • Implement multi-region health checks (minimum 5 locations)
  • • Check both availability and performance metrics
  • • Use realistic synthetic transactions, not just pings
  • • Set aggressive timeouts (2-3 seconds max)
  • • Require 2+ failed checks before marking unhealthy

3. Gradual Rollouts

Always use canary deployments for routing changes:

  1. 1. Start with 1% of traffic to new configuration
  2. 2. Monitor RUM metrics for 5-10 minutes
  3. 3. Gradually increase: 1% → 5% → 25% → 50% → 100%
  4. 4. Automatic rollback if performance degrades >10%

4. Monitoring & Alerting

Key Metrics

  • • DNS query response time
  • • CDN response time by region/ASN
  • • Cache hit rates per CDN
  • • Error rates by endpoint
  • • Traffic distribution percentages

Alert Thresholds

  • • DNS timeout >50ms (P99)
  • • CDN latency increase >25%
  • • Cache hit rate drop >10%
  • • Error rate >0.1%
  • • Uneven traffic distribution

Real-World Example: Video Streaming Platform

A major video streaming service implemented Multi-CDN with EDNS Client Subnet to serve 50 million users globally. Here's how they handle a specific scenario:

Scenario: Peak Streaming Event

Live sports event with 5 million concurrent viewers in North America

Challenge:

  • • Sudden 10x traffic spike
  • • Regional concentration (East Coast)
  • • Latency-sensitive content
  • • Multiple ISPs with varying capacity

Solution:

  • • Activated all 4 CDN providers
  • • ECS-based routing per ISP
  • • Real-time load balancing
  • • Overflow traffic management

Results:

99.95%

Availability

32ms

Avg Latency

0.02%

Buffering Rate

Key Routing Decisions:

  • Verizon (ASN 701): 60% CDN-A (direct peering), 40% CDN-B
  • Comcast (ASN 7922): 50% CDN-C (embedded caches), 30% CDN-A, 20% CDN-D
  • AT&T (ASN 7018): 45% CDN-B, 35% CDN-D, 20% CDN-A
  • Others: Load balanced across all CDNs based on real-time capacity

Summary

Multi-CDN architectures with EDNS Client Subnet enable intelligent traffic routing that maximizes performance, availability, and cost efficiency. Success requires:

  • ✓ DNS provider with fast propagation and low latency
  • ✓ EDNS Client Subnet support for accurate geo-targeting
  • ✓ Real-time RUM data processing and analysis
  • ✓ Sophisticated routing rules based on multiple factors
  • ✓ Continuous monitoring and optimization

By implementing these practices, organizations can deliver consistent, high-quality experiences to users regardless of their location or network conditions.