News Summary:
Video streaming performance measurement heavily relies on Quality of Service (QoS), focusing on network-level indicators such as bitrate, latency, packet loss, and jitter. Previously, multi-CDN architecture solidified its position as a cornerstone of enterprise streaming strategy, enabling content providers to distribute traffic for redundancy and reroute it during degradation or failure. Earlier, the OTT streaming industry grappled with a significant, often unaddressed, cost problem despite its rapid growth and substantial content investments. This challenge emerged from the constant balancing act in streaming delivery, where teams aim to satisfy audience expectations for flawless, low-latency playback while controlling costs and managing increasingly complex architectures, often by adding more CDNs, traffic steering, and infrastructure. Before this, streaming platforms began transitioning from predefined rules and human expertise to artificial intelligence for thousands of operational decisions, including traffic routing, CDN selection, and anticipating quality degradation.
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