TDengine is a time-series database purpose-built for Industry 4.0 and Industrial IoT. It enables real-time ingestion, storage, analysis, and distribution of petabytes of data per day, generated by billions of sensors and data collectors. With TDengine making big data accessible, valuable, and affordable, digital transformation has never been easier.

TDengine

Anomaly detection is key to identifying performance issues, failures, and unusual patterns in your infrastructure before they become critical. In this webinar, we’ll take a practical look at how to detect anomalies in time-series data using TDengine—built around real-world metrics from EC2 instances.

Through a hands-on, live demo, you’ll learn how to:

*   Ingest and structure time-series data from cloud environments
*   Use SQL to identify spikes, drops, and outliers in key metrics
*   Visualize system health and anomalies in real time

This session will equip you with practical techniques to monitor and react to anomalies using TDengine's high-performance time-series engine. Join us to see real-time anomaly detection in action: no theory, just practical, repeatable steps.
