The challenge
Processing millions of high-frequency sensor readings per day without degrading dashboard query performance.
The approach
TimescaleDB Time-Series Database: Utilized automatic data hypertable partitioning and continuous roll-up aggregates. MQTT Telemetry Broker: Implemented EMQX broker for lightweight, low-overhead sensor communication. Threshold Alerting Engine: Automated Telegram and email alerts when power consumption anomalies occur.
What we did
- //001TimescaleDB Time-Series Database
- //002MQTT Telemetry Broker
- //003Threshold Alerting Engine
Next case study
Steal Main
TypeScript, Next.js, Rust, Zero-Knowledge Proofs