Real-time anomaly detection using Kafka, KSQL User Defined Function and a pre-trained model
A bit of python code consumes the ANOMOLY_POWER topic and calls pushbullet. A consumer is established, and an event handler calls the notification service on receipt of a new Kafka events. Each message generates a new push notification.
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
Inspiration for this project comes from Kai Waehner and his project Deep Learning UDF for KSQL. The notification system was inspired by Robin Moffatt and his blog on Event-Driven Alerting with Slack.
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