Batch ML models trained overnight can't catch anomalies that emerge this afternoon. By the time you detect an issue, it's already cost you time and impact. The new River plugins for InfluxDB 3 bring online machine learning directly into your database. Models update as data arrives without separate pipelines or retraining cycles.

By the end of this hands-on training, you'll be able to deploy real-time anomaly detection directly in InfluxDB. Here's what you'll learn:

• Processing Engine setup and how its trigger types work
• Why online ML beats batch training for live time series workloads
• Installing the RiverML Anomaly Detector, Auto Profiler, and Forecaster plugins
• Live demo: real-time anomaly detection and forecasting with alerting

Can't make it live? Register anyway and we'll send you the recording. 

Hope to see you there!