How to Build an IoT Sensor Analytics using Docker, Redis and Grafana #RedisDeveloper

Application developers look to Redis and RedisTimeSeries to work with real-time internet of things (IoT) sensor data—here’s how to make it work.

Imagine you’re an air-conditioner manufacturing company that sells millions of smart AC units to consumers. You are building a centralized, smart climate control system that collects sensor data about a house’s temperature, pressure, and humidity and sends it to a central location for an efficiency analysis to help end users trim their electricity bills.

This blog post will show a simplified version of such a use case to demonstrate how it all works—so you can understand how to manage a wide variety of real-time IoT sensor data in Redis.

Here’s what we used:

- A BME680 environmental sensor to simulate a smart air conditioner and send data to Redis
- The RedisTimeSeries module to add time-series capabilities to Redis and store the data in time-series format
- Grafana with Redis Data Source to create graphs for usage analysis

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[elad]

Awesome skill to learn. Thanks for making this tutorial.