Reducing latency and improving reliability for a major sports content provider.
A client in the sports media sector faced lost data packets and increased latency during live events with massive traffic, which affected the end-user experience.
We implemented a deep analysis of the existing CDN topology, identifying critical congestion points. We proposed a hybrid traffic routing strategy and a multi-tier cache architecture.
Average latency was reduced by 68%, and the packet loss rate dropped below 0.1%. Network capacity was scaled to handle up to 2 million concurrent viewers.
We instrumented edge servers to capture detailed metrics on HLS and MPEG-DASH protocols. We identified inefficiencies in the adaptive bitrate (ABR) compression algorithm that were causing excessive buffering.
We introduced an additional "hot-spot" regional cache layer to serve geographic areas with the highest viewer density. We reconfigured load balancing to route traffic based on real-time latency, not just geographic proximity.
We developed a custom dashboard for the operations team, displaying key metrics such as bitrate, rebuffering ratio, and health score for each POP. The implementation was tested during a pilot event with 500,000 users.
Visual comparison of latency across regions before and after optimization.
[Chart: Latency Reduction]
Detailed documentation of the architecture, configurations, and scaling procedures.
[Report Excerpt]
Conclusion: The project demonstrated that a strategic optimization of CDN infrastructure, based on deep protocol analysis, can transform live streaming performance, delivering an immersive and uninterrupted experience even under extreme traffic conditions.