Case Study: Shuffll improves CDN performance and TTLB with IO River

Improving Shuffll Performance in 80%

Shuffll, a video content platform, faced the challenge of optimizing performance at scale for its multi-CDN architecture. They struggled to gain the necessary visibility into their traffic to measure performance and compare different CDN providers, a process that would have required significant internal development.

Using IO River's Performance Monitoring and Traffic Auto-pilot features, Shuffll identified an 80% performance gap between CDNs and automated traffic distribution. This solution from IO River resulted in a 79% improvement in worldwide P-50 Time to Last Byte (TTLB) and a 66% improvement in the US.

Shuffll

Issac Gil

Chief Executive Officer and Chief Technology Officer