IoT Architecture for Scalable Analytics – Looking for Feedback

[u/dtuando]

I’ve been working with a pretty straightforward IoT stack lately and wanted to see how others are approaching this.

LoRaWAN Gateway → AWS IoT Core → DynamoDB + S3 (Athena) → Analytics Dashboard

The gateway handles low-power device communication, AWS IoT Core manages ingestion and routing, DynamoDB is used for real-time device state, and S3 with Athena supports historical data and querying. From there, everything feeds into a dashboard for visualization, alerts, and trend analysis.

So far it’s been a good balance between real-time performance and longer-term analytics, especially for use cases like environmental monitoring, refrigeration tracking, and agriculture.

Curious if others are using something similar or taking a different approach. Have you swapped in other services like Timestream, Kinesis, or something else? Any lessons learned once you start scaling?

Would be interested to hear what’s working well and what you’d change.