This talk will explore:

• How to use time series databases like InfluxDB for monitoring, anomaly detection, and forecasting in MLOps,
• Using Facebook’s Prophet for forecasting and Isolation Forest for detecting anomalies in real-time metrics,
• How Large Language Models (LLMs) can analyze events and identify unusual patterns to enhance cybersecurity and application monitoring, and
• See a live code demo showcasing real-time anomaly detection, forecasting trends, and analyzing events and metrics with time series data on InfluxDB (available on GitHub)