Get the video data you need to power Observability & Optimization
Solving Challenges With Streaming Video Observability
Making connections between data sets, coming from a myriad of sources, is critical to helping you optimize your service and network. With that kind of observability in your streaming video operations, you can meet, and even exceed, important KPIs to provide the best possible viewing experience.
Can You Easily Derive the Insights You Need To Make Better Business Decisions? How Would You Rate Your Streaming Video Observability?
Observability In Streaming Video: Seeing the Forest for the Trees
There may be times when data from different sources doesn’t use the same variable names. This can make it difficult to relate the datasets together without giving the variables a common name. For example, the concept of an ID (whether session or user) may be represented differently. These differences can make it very difficult to obtain any kind of observability.
Manually Relating Data
When data is inconsistent, it can require a lot of post-processing to compare datasets and identify the common variables which can be used to relate them. But this kind of manual effort takes a significant amount of time. When the insights that need to be derived are related to root-cause or performance, time is of the essence.
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Aligning with Standards
- Common Media Client Data (CMCD). This standard is being developed by the CTA-WAVE group and addresses a common set of key/value pairs that players can communicate to CDNs about media.
- Common Media Service Descriptions (CMSD). This standard is being developed by the CTA-WAVE group.
- Distributed Request Tracing. This specification is being developed by the QoE/Measurement Working Group in the Streaming Video Alliance.