Creating an IoT Data Layer for Collecting, Storing, Analyzing and Reacting
summary
Prototype runs full Influx stack on an embedded Linux board (Pine64, 64GB microSD) collecting from Bluetooth, Wi‑Fi and LoRa sensors, storing short‑term edge data and forwarding five‑minute averages to cloud InfluxDB; Telegraf ingests, Kapacitor sends local alerts (example: CO2 threshold reaction at ~5,000–10,000 ppm), Chronograf shows dashboards. Deployment has two dozen devices each sending ~5 points/sec for ~14 months with cloud instance ~170 MB and edge using ~20% disk. Demonstrates edge-first collection, time‑series DB scaling, local action + cloud aggregation.
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chapters (13)
- 0:00IoT data challenges
- 3:37Cloud vs edge data collection
- 5:48Edge data collection demo
- 10:29IoT data layer architecture
- 13:46Real-time IoT data action
- 18:50Dashboards for monitoring
- 21:19Time-series databases for IoT
- 23:57Edge and cloud software parity
- 26:45Q&A
- 30:45Industrial IoT security
- 33:04Q&A
- 37:44Q&A
- 40:15Q&A
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