The media and entertainment industry needs an observability solution that supports their digital transformation efforts and provides the business intelligence and data analytics necessary to help media buyers navigate shifts in consumption.
Data volumes are growing year over year in nearly every industry, and especially in media and entertainment. Though the industry has been shifting to digital means of production, distribution, and consumption for quite some time, that shift is accelerating due to the COVID-19 pandemic. Viewing platforms suddenly need to support larger audiences due to a surge in digital media consumption, and media buyers are increasingly looking to their publishing partners for analytics as they further invest in digital platforms and ad units.
The media and entertainment industry not only needs a way to manage the continuing growth rate of data, but they’ll also require better insights to optimize the user experience for buyers experimenting with digital platforms. At the same time, it is important they do all of this in a cost-effective way, freeing up resources to ensure their platforms can handle the recent increase in viewership and consumption.
Use Cribl Stream to send data to the most effective destinations, including low-cost storage locations like S3. Quickly route data to the best tool for the job – or all the tools for the job – by translating and formatting data into the tooling schemas you need.
Easily extract fields of interest and publish the result to metrics. Once aggregated, you will see a major reduction in event counts and data volume, freeing up space in your analytics tools. Send the resulting metrics to your analytics tool or route them to a dedicated time series database to get further analytics on digital audiences for your buyers and better insights into your own data sources as part of your digital transformation efforts.
Stream can help reduce as much as 50% of ingested log volume. Easily eliminate duplicate fields, null values, and any elements that provide little analytical value. Filter and screen events for dynamic sampling, or aggregate log data into metrics for volume reduction at scale while keeping a full-fidelity copy in low-cost storage, improving system performance and freeing up valuable resources for digital transformation.
Reduce management overhead, with a robust and easy-to-use GUI-based configuration and testing interface. Capture live data and monitor your observability pipelines in real time, enabling further visibility to inform critical business decisions.
Cribl Stream helped them move to the cloud by making it easy to stream, transform, filter, and manage all their on-prem data
