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Sure! We evaluated several anomaly-detection tools & libraries. They included:

tried-and-true statistical methods like probability density functions

Yahoo EGADS anomaly-detection library

Numenta HTM neural-network anomaly-detection library

We ruled out HTM due to AGPL licensing concerns. It's an interesting product, but wasn't a good fit for us at this point in time. EGADS and other basic statistical methods can actually get you pretty far.

[bradknowles]

And what do you do with this video anomaly information?

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Mux (https://mux.com/) collects performance metrics for video delivery & playback on the websites & apps of our customers. These metrics feed into our real-time alerting system. If the error-rate for a customer property (site) or video-title is exceptionally high then an alert will be triggered. Mux customers can configure alert notifications to be sent to Slack & email, and view a history of alerts in the Mux web dashboard. We also offer the ability to view breakdowns of playback failures, video start-up times, and more through our dashboard. This can be helpful for diagnosing playback issues related to specific browsers, geographies, ISPs, and more.