Datazoom 3rd CDN integration; releases Collector for Amazon CloudFront
January 19, 2021
Datazoom, the Real-time Video Data Platform, has announced the release of their integration with Amazon CloudFront, expanding upon their capabilities to capture, standardize, and route data from across the end-to-end workflow of video.
Recently, the company announced one of the industry’s first end-to-end data collection, standardization, and routing services for streaming Content Delivery Network (CDN) log data.
At the end of August, Amazon Web Services (AWS) announced the first Amazon CloudFront real-time logging solution. Datazoom’s integration with Amazon CloudFront leverages this release, and collects data via Amazon Kinesis Data Streams, standardizes the common data elements that appear in Datazoom’s CDN Data Dictionary, and delivers CloudFront CDN data to destinations including Amazon Simple Storage Service (Amazon S3), Splunk and Google BigQuery.
Furthermore, Amazon CloudFront supports the logging of query parameters, which customers can use to pass the client-side identifiers necessary to adhere to the Common Media Client Data spec (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,” said Nishit Sawhney, Head of Product Management for Amazon CloudFront, Amazon Web Services, Inc. “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 real-time logging solution, 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. However, 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,” says Datazoom CEO Diane Strutner. “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, standardized data from all relevant sources. 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 Video Player Data Dictionary with over 200 standardized data points and plans to announce additional integrations before the end of the year.