Edge to Cloud with InfluxDB
summary
Integrates InfluxDB 3.0 with an edge Vision AI pipeline that detects and counts people via NVIDIA DeepStream on a nanodevice camera, buffers events during network outages, and pushes detection records through Telegraf and MQTT into a cloud bucket named detection MLOps. InfluxDB 3.0 uses Parquet storage (claims >70% lower storage), adds native SQL and unlimited cardinality to store traces/events, and displays live counts and confidence in a Grafana dashboard.
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chapters (10)
- 0:00InfluxDB Edge to Cloud vision
- 1:13InfluxDB 3.0 features
- 4:05High-performance ingestion
- 6:56Vision AI demo setup
- 8:26NVIDIA DeepStream in demo
- 9:51Edge device handling
- 10:31Telegraf and MQTT workflow
- 12:17Demo results and Grafana
- 13:47Azure availability and resources
- 14:52Q&A
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