Hi everyone! I’m currently setting up a Grafana dashboard to visualize real-time data from multiple IoT sensors (temperature, humidity, motion). The architecture I’m following is quite standard and explained really well here: https://www.theengineeringprojects.com/2021/12/real-life-examples-of-internet-of-things.html. I’m using MQTT as the transport protocol to feed data into InfluxDB, and now trying to make the Grafana side more efficient for real-time updates. I’ve already reviewed the official Grafana installation guide to ensure everything is configured correctly https://grafana.com/docs/grafana/latest/setup-grafana/installation/. Has anyone here worked on optimizing Grafana dashboards specifically for fast-updating IoT data streams? Any advice on panel configuration, reducing latency, or handling bursts of incoming data would be greatly appreciated.
Welcome @aria22 to the Grafana forum.
Sounds like you have done some good reading and planning, so great job there!
I have set up applications with sensors that publish their “live” data via MQTT. If you want a steady update of the live values via MQTT, you can use the MQTT datasource. It is several years old and in the beginning had some glitches, but I believe it’s much better now and is being maintained by Grafana.
I also use Node-RED to subscribe to the MQTT messages and then send the payload to InfluxDB for long-term storage. Of course, you can use Grafana to view the InfluxDB data on fairly rapid basis (every 5 seconds or so), but I think for 'fast-updated IoT data streams" in Grafana, the above mentioned MQTT datasource might be the droid you are looking for (sorry…could not resist the Star Wars reference).