Hello - I'm working on an anomaly detector for some time series monitoring data. I've setup an example project with Flink that reads from Kafka to get the monitoring data. Unfortunately, I'm not sure what to do next.
The goal is to perform some clustering on the metric values that Flink is receiving and detect when the value[s] are anomalous. I've got a DataStream<MetricDefinition> that I think needs to go through some pre-processing, like transforming it into a vector, but I'm not sure how to proceed. The pojo[MetricDefinition] looks like this - https://github.com/savantly-net/metric-schema/blob/master/src/main/java/net/savantly/metrics/schema/MetricDefinition.java Can anyone point me in the right direction? Thanks! Jeremy D. Branham Technology Architect - Sprint O: +1 (972) 405-2970 | M: +1 (817) 791-1627 jeremy.d.bran...@sprint.com<mailto:jeremy.d.bran...@sprint.com> #gettingbettereveryday ________________________________ This e-mail may contain Sprint proprietary information intended for the sole use of the recipient(s). Any use by others is prohibited. If you are not the intended recipient, please contact the sender and delete all copies of the message.
