Datazoom Launches First Collection Data Dictionary for CDN Log Streaming

Datazoom, 实时视频数据平台, today announced the industry's first end-to-end data collection, 数据标准化, and routing service for streaming Content Delivery Network (CDN) log data. Datazoom的 CDN数据字典 has been defined in compliance with the Common Media Client Data (CTA-5004).

An important service that CDNs provide is efficient caching of video assets on behalf of content publishers so that videos load faster, 而且质量更高. 随着流媒体视频行业的成熟, viewers have greater expectations of the viewing experience and lower tolerances when that experience fails. Content owners who are facing mounting pressure to deliver a flawless viewing experience, are looking for cleaner and faster ways to understand the performance of critical services, 包括他们的CDN合作伙伴提供的经验.

In response, CDNs are making investments to release new and improved log streaming services. Akamai's DataStream offers log delivery to a variety of third party analytics and data warehouse tools. Recently, Amazon CloudFront announced a new feature to enable log delivery to Kinesis Data Streams. 然而, 每个CDN都建立了不同的日志系统, and thus gaining insights into performance using data from multiple CDNs has been an industry challenge.

With the release of Datazoom的 CDN Collector and CDN数据字典 content owners can easily analyze delivery performance across various CDNs in real-time. This solution aims to replace siloed analysis and time-intensive and offline processes to gather and clean CDN data.

点击这里观看Datazoom的CDN演示 & 球员数据标准化解决方案，今天可用.

The Datazoom CDN数据字典 represents common data elements that can be retrieved from multiple CDN distribution logs, 并标准化以匹配命名分类法. 到目前为止，数据字典包含了20多个数据点. Datazoom还提供一个视频播放器收集器和一个视频播放器数据字典 with over 200 data points standardized for compliance with the Streaming Quality of Experience Events, 属性和度量(CTA-2066)规范. With cleaned and standardized datasets available in real-time, content owners are a step closer to having end-to-end observability of the video delivery workflow.

"Akamai recognizes the value in providing our customers with the ability to process CDN data alongside other data sets. That's the rationale behind our DataStream product and the decision to open it up to endpoints like DataZoom,乔恩·亚历山大说, 高级主管, Akamai的媒体产品管理. "Joining CDN data with player data helps correlate CDN performance to user experience and can facilitate more efficient diagnoses of the cause and impact of issues."

The solution works with CDNs who can send data to Datazoom的 API Collector endpoint, and can pass data to any Connector that offers an API endpoint to receive third party data. Datazoom的 initial release includes adds both Fastly and Lumen (Formerly CenturyLink) to the Datazoom的 Collector ecosystem, with two other CDNs Collectors planned for release by the end of the year.

"There has been a long-standing frustration around understanding incident analysis. 虽然CDN是关键路径的一部分, correlating CDN performance logs against downstream incidents experienced by end-users is something that today takes days to weeks. With this solution we can bring that down to seconds," said Diane Strutner, Founder & 首席执行官. "Arriving at this type of analysis faster will decrease recovery time for incidents and create an opportunity to implement prevention strategies, as well as more effectively provide feedback or share data directly with CDN vendors."

Some of the benefits that customers will gain from using this solution include:

Customers gain access to a standardized data set for input into Machine Learning, 实时自动化服务.
客户可以与其他关键数据集相关联, 比如视频播放器数据, 减少找出根本原因的时间, 并与其他监控和警报策略接口.
客户可以将CDN数据发送到Connector目的地, 包括谷歌BiqQuery, Azure博客存储, AWS S3, AWS运动, 和Splunk.

[编者注:这是一份经过轻微编辑的新闻稿.]