/plushcap/analysis/mux/mux-discovering-anomalies-in-real-time-with-apache-flink

Discovering Anomalies in Real-Time with Apache Flink

What's this blog post about?

Mux, a video streaming platform, developed an anomaly detection system in Summer 2016 using Apache Flink. The system was designed to scale easily without sacrificing performance, support alerting for infrequently-played videos, and have low latency. Apache Flink is a stream processing engine that can handle unbounded event streams with guaranteed exactly-once event-time processing. It allows real-time Map-Reduce operations on streaming events and supports both processing-time and event-time modes for time-series data. Mux uses Flink to calculate playback error rates across video titles and customer properties, enabling real-time alerts and anomaly detection.

Company
Mux

Date published
Feb. 15, 2017

Author(s)
Scott Kidder

Word count
995

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.