Most IoT tutorials teach you to fetch data like this:
setInterval(fetchData, 1000)
In a hobby project, this is fine. In a factory with 5,000 sensors? It's a DDoS attack on your own database.
At Programevi Engineering, when we modernize legacy factories, the first thing we kill is "Polling".
The Shift to Event-Driven
Instead of asking the machine "Are you hot?" every second, we wait for the machine to tell us "I'm hot!".
We use an architecture based on MQTT brokers and Serverless Functions.
Sensor detects change -> Publishes to MQTT topic.
Broker triggers a Serverless Function.
Function writes to Time-Series DB (InfluxDB).
Next.js Dashboard updates via WebSockets.
This reduces database writes by 90% and bandwidth by 99%.
The Business Value (Predictive Maintenance)
Why do we do this? Not just to save bandwidth.
To predict the future.
By analyzing this clean stream of data, our AI models can predict a motor failure 48 hours in advance. This saves our clients thousands of dollars in downtime.
Architecture Deep Dive
If you are interested in the full stack we use for Industrial IoT (IIoT) and how we handle data visualization:
👉 Read the Full Guide: IoT & Industrial Automation Solutions
(Note: We discuss protocols, hardware choices, and cloud integration in the main article.)
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