Case Study #1

Optimizing Bandwidth for High-Definition Live Broadcast

Implementing an advanced video compression protocol to reduce network resource consumption without compromising real-time image quality.

The Challenge

A regional media operator faced instability and increased latency during live sports event broadcasts, caused by unoptimized video streams that exceeded the capacity of the existing CDN infrastructure.

Technical Approach

Detailed analysis of the bitrate profile and motion patterns in the source streams.
Configuration of a software encoder with support for the AV1 codec in variable bitrate (VBR) mode.
Integration with the packager middleware to adapt the streaming protocol to the new parameters.

Implementation

We developed a dedicated processing instance, placed at the edge of the CDN, which applies adaptive compression based on scene complexity and available bandwidth in real time. The solution was tested in a staging environment with simulated peak traffic.

Key Technology: AV1 codec, CMAF packaging, Low-latency HLS, Monitoring with Prometheus & Grafana.

Final Result

Average bitrate reduction of 42% for HD content, elimination of buffering pauses during live events, and a 15-point improvement in the perceptual quality score (VMAF).

Confirmatory Materials

68%

Latency Reduction

End-to-end latency reduced to under 3 seconds, confirmed by monitoring reports.

24/7

Monitored Uptime

The system maintained 99.98% availability in the first quarter of operation.

Architecture

Detailed technical diagram of the processing flow and integration points.

Media Stream Optimization Process

From the initial request to the final delivery, each stage is designed for maximum efficiency and superior quality.

Requirements Analysis and Planning

We evaluate technical specifications, expected traffic volume, and content typology to define the optimal infrastructure parameters.

Identifying the streaming protocol (HLS, DASH, RTMP)
Calculating bandwidth requirements and CDN points of presence

Infrastructure Configuration and Testing

We implement origin servers, configure the CDN network, and apply video compression algorithms tailored to the content.

Optimizing codecs (H.264/AVC, HEVC) for quality-bitrate ratio
Simulating data streams and network stress testing

Monitoring and Final Delivery

We ensure continuous operation through real-time performance monitoring and dynamic adjustment of parameters for an optimal experience.

Analysis of key metrics: buffer rate, start time, adaptive quality
Performance report and post-implementation technical support