Building IoT Apps with JSONB & Timeseries
summary
Azure Cosmos DB for Postgres demonstrates time series IoT at scale with 1 million devices feeding a simulated backend that generates 45 million events per minute, ingested through IoT Hub and Azure Stream Analytics into a cluster with one coordinator and 16 worker nodes. Data uses JSONB payloads, range time partitions, composite indexes and sharding; tests load ~15 billion rows (≈4 TB) while serving reads and writes at 200 concurrent users with <10 ms response.
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chapters (9)
- 0:00Introduction to IoT scale
- 0:29IoT characteristics
- 1:28Why Azure Cosmos for Postgres
- 2:54Reference architecture
- 4:06Demo setup and provisioning
- 5:32Data modeling and indexing
- 7:16Dashboard analysis
- 8:37Performance benchmarks
- 9:48Summary and conclusions
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