Datazoom Announces 3rd CDN Integration, Releases Collector for Amazon CloudFront
New Collector Integration Facilitates The Real-time Analysis of Amazon CloudFront Performance Alongside Other CDN Logs and Video Playback Datasets for Content Owners
纽约(2021年1月14日)
Datazoom, 实时视频数据平台, 宣布 today the release of their integration with Amazon CloudFront, expanding upon their capabilities to capture, 标准化, and route data from across the end-to-end workflow of video.
最近，该公司 宣布 one of the industry’s first end-to-end data collection, 标准化, and routing services for streaming Content Delivery Network (CDN) log data.
At the end of August, 亚马逊网络服务 (AWS) 宣布 the first Amazon CloudFront 实时测井解决方案. Datazoom’s integration with Amazon CloudFront leverages this release, and collects data via Amazon Kinesis Data Streams, 标准化s the common data elements that appear in Datazoom’s CDN数据字典, and delivers CloudFront CDN data to destinations including Amazon Simple Storage Service (Amazon S3), Splunk和Google BigQuery. Documentation on the setup process can be found 在这里.
此外, Amazon CloudFront supports the logging of query parameters, which customers can use to pass the client-side identifiers necessary to ad在这里 to the 通用媒体客户端数据规范(CTA-5004). This feature enables a granular matching between client-side experience data with the corresponding CDN telemetry.
"Our customers see value in examining CDN data alongside other data sets, such as client-side Quality of Experience (QoE) data. The ability to correlate these data sets helps in determining causation more easily. Our goal is to provide the best service possible to our customers, and this means facilitating ways for our customers to track the impact of Amazon CloudFront’s performance on their viewers’ experience,尼西特·索尼说, Head of Product Management for Amazon CloudFront, 亚马逊网络服务, 公司. “The joint analysis of CDN and player data helps customers monitor CDN and viewer experience in real-time and act swiftly. This is why we invested in creating a 实时测井解决方案, and why we support AWS Partners like Datazoom through the integration efforts.”
Creating access to correlatable data sets will unlock the ability to automate root cause analysis, and potentially enable streaming experiences that can adapt to availability changes or failures once detected. 然而, the effectiveness of those solutions will be predicated on having great data.
“Datazoom’s platform has been uniquely built to support the future of streaming,Datazoom首席执行官黛安•斯特特纳表示. “The adoption and integration of machine-driven technologies that can provide optimization and issue prevention at scale will be stalled by a lack of real-time, 来自所有相关来源的标准化数据. This is the biggest challenge that exists in the streaming space, our integration with Amazon CloudFront brings us one step closer to this reality.”
Beyond CDN data, Datazoom also offers a Collectors for Video Players and a 视频播放器数据字典 with over 200 标准化d data points and plans to announce additional integrations before the end of the year.
关于Datazoom
Datazoom is an enterprise data platform technology company that 标准化s data for video teams and their technology partners. Through a variety of real-time data collection software and routing services, the Datazoom Video Data Platform offers flexibility and transparency in data collection so that operations, 工程, product and business decisions can be made with confidence. Companies that drive revenue with video use Datazoom to democratize insight, 减少低效率, and deliver captivating end-user experiences. 解锁你的数据黑匣子 datazoom.io.