Real-Time IoT Data Processing & Anomaly Detection with InfluxDB 3 & Node-RED
Session Date: Sep 04, 2025
Time: 8:00am (PT) | 3:00pm (GMT)
In this hands-on session, we’ll show you how to build a real-time IoT monitoring system using InfluxDB 3 and Node-RED. You’ll see live sensor data from a Raspberry Pi flow through MQTT into InfluxDB, get visualized in a custom Node-RED dashboard, and be analyzed with the InfluxDB 3 Processing Engine to detect anomalies in temperature and vibration readings. Perfect for IoT developers and data engineers looking to build time series pipelines from data storage, machine learning processing, and visualization in one streamlined workflow using a modern open source stack.
You’ll learn how to:
- Connect a Raspberry Pi (or similar device) and sensors to Node-RED via MQTT.
- Ingest and store time series data in InfluxDB 3 with the Node-RED connector.
- Build a real-time custom dashboard in Node-RED.
- Use the InfluxDB 3 processing engine for live anomaly detection.
- Trigger alerts when unusual sensor patterns occur.
Suyash Joshi
Senior Developer Advocate, InfluxData
Suyash Joshi is a senior software engineer and accomplished developer advocate at InfluxData. His career spans leading pivotal projects at Oracle and RingCentral in the past. Holding both a B.S. in Computer Science and an M.A. in Game Design, he seamlessly blends technical expertise with a flair for creativity. Driven by his passion, he nurtures and hosts developer events in London, delivering sought-after keynote speeches and participating in hackathons worldwide. Apart from his day job, Suyash Joshi is a magician and member of the prestigious Magic Circle in London, crafting performances that ignite wonder, joy, and inspiration. Find him on X: @suyashcjoshi
