Architecture Teardown: 2026 IoT Backend – Python 3.13, MQTT 5.0, and TimescaleDB 2.12 for 10M Sensor Data Points/Day The 2026 IoT landscape demands backends that balance low-latency ingestion, efficient storage, and flexible querying for up to 10 million sensor data points per day. This teardown breaks down a production-grade stack leveraging Python 3.13’s async improvements, MQTT 5.0’s enhanced feature set, and TimescaleDB 2.12’s time-series optimizations. Scale Requirements & Design Goals For 10M data points/day, the backend must handle ~116 writes per second (10M / 86400 seconds) at peak, with support for burst ingestion, schema flexibility for heterogeneous sensor types, and sub-second query latency for operational dashboards.…