Streaming Performance Steering Playbook
A practical guide to steering streaming traffic across multiple CDNs using real-time performance signals to protect QoE during peak load and live events.

What can you achieve
with this playbook?
Performance Reality Check
Understand how CDN performance actually degrades under live traffic, peak events, and regional load, not how it looks in vendor benchmarks.
Smarter Routing Decisions
Learn which real-time signals matter for steering streaming traffic, and how to avoid DNS-only or availability-based routing mistakes.
Peak Event Readiness
See how streaming teams prepare for traffic spikes, absorb sudden demand, and maintain playback quality when a single CDN hits its limits.
What’s inside?
- Why DNS-based and passive failover models fail for streaming
- The performance signals that correlate with buffering and playback errors
- How regional and ISP-level degradation impacts QoE
- The difference between synthetic tests and real streaming data
- How to steer traffic without fragmenting cache or breaking sessions
- A practical checklist to evaluate your current Multi-CDN setup
Who is it for?
Responsible for performance, resilience, and viewer experience at scale
Managing traffic spikes, regional demand, and zero-tolerance for playback failure.
Operating multiple CDN providers and needing consistent routing and visibility.
Making decisions on performance strategy, cost control, and operational complexity.

Frequently Asked Questions
Yes. The playbook focuses on how Multi-CDN behaves under real streaming load. Many teams use multiple providers but still rely on static routing or passive failover, which this guide addresses directly.
No. The playbook explains how network-level and delivery signals can predict playback degradation without requiring deep player instrumentation.
No. While live events amplify the problem, the principles apply to VOD platforms experiencing regional spikes, ISP congestion, or uneven cache behavior.
No. The playbook is architecture-focused and applies regardless of CDN providers. IO River is referenced as an example of how teams implement these principles in production.





.png)

