Hydrolix details its role in providing full-fidelity observability for a major UK broadcaster during the 2026 World Cup, managing 400 billion requests across multiple CDNs. The deployment underscores the industry shift toward unsampled telemetry to support real-time operational decision-making and AI-driven workflows during high-concurrency live events.
The shift toward unsampled, full-fidelity telemetry marks a critical transition for high-concurrency live events where 10% sampling often misses root-cause errors. By unifying logs from Akamai, Fastly, and CloudFront into a single schema, broadcasters can now bypass fragmented vendor views to make immediate traffic-steering decisions. This high-fidelity data layer is becoming the essential foundation for emerging AI-driven operations, as sampled datasets lead to logic drift in automated agents. Watch for whether other major sports rights holders abandon traditional sampling methods in favor of compressed, full-dataset analysis ahead of the 2028 Olympics.
Hydrolix successfully managed 400 billion requests for a UK broadcaster during the 2026 World Cup, processing 600 TB of unsampled telemetry across 51 matches. This high-fidelity approach is critical for live events, as it allows broadcasters to unify fragmented CDN logs and make immediate traffic-steering decisions, bypassing the limitations of traditional sampling.
Hydrolix processed 400 billion requests across Akamai, Fastly, and CloudFront during the tournament.
The infrastructure supported a peak CDN throughput of 28.5 TB per second and 9 million concurrent viewers.
Unsampled telemetry is essential because 10% sampling often misses root-cause errors, whereas full-fidelity data allows for immediate traffic-steering decisions and prevents logic drift in AI-driven operations.
Hydrolix standardized logs from Akamai, Fastly, and CloudFront into a common schema to provide unified multi-CDN monitoring.
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