As technology advances, so too does the way we experience entertainment. Artificial Intelligence (AI) has become an integral part of how we access and interact with our favorite films and shows. AI is increasingly being used to help viewers navigate their entertainment experiences, improve content
As the streaming tech stack has grown in complexity, ensuring a high-quality viewing experience has become increasingly challenging. Part of that is the nature of a distributed architecture frequently assembled from third party services and technologies as well as just more moving parts. But part of it is also a lack of well-established standards which meet the specific needs of streaming content providers. The combination of these two issues results in operational “blind spots” when tracing issues through the workflow. Because of the critical importance of data within streaming operations, any blind spots can significantly increase the Mean Time to Diagnose (MTTD) and, more importantly, the Mean Time to Resolve (MTTR). When these operational streaming metrics go up, QoE and viewer satisfaction goes down often resulting in loss of revenue and/or increased churn. There is a need then, for a standardized approach to trace data across the different vendors in the streaming video technology stack with an obvious starting point: CDNs.
We believe that, at least on paper, QUIC promises to improve the user experience when consuming high value content delivered from the CSP or CDN edge and could help cultivate additional value for consumers and revenue for content owners. CSP’s and Public CDN’s also cannot wait for QUIC to become ubiquitous in other on-line applications before deciding whether to experiment – the time to learn is “now”. Based on that hypothesis, the main purpose behind this PoC is to validate some of the assumptions related to QUIC within the context of streaming media, and to illustrate how the protocol could be leveraged in existing or new OTT platforms. Additionally, this PoC will establish best practices for organizations that are contemplating their own QUIC implementation, allowing them to assess the effort required and the overall impact of delivering a QUIC-based streaming service.
This Optimizing Cloud-Based Workflows blog is based on the SVTA webinar of the same name, recorded on Tuesday, February 15, 2022. The webinar featured Beatriz Pineda (SSIMWAVE), Chrys Le Gall (Ateme), and Rob Roskin (Lumen). It was moderated by Streaming Video Technology Alliance Executive Director,
Because we are all about streaming video technology When I first joined the Streaming Video Alliance in the summer of 2016, the organization was still in its infancy. We had significantly fewer members, fewer working groups, and, of course, fewer people engaged in developing solutions.