| Layer | Tech Stack (suggested) | Responsibilities | |-------|------------------------|------------------| | | C/C++ firmware → MQTT/CoAP → TLS | Capture raw sensor/metric streams at ≤ 1 Hz and push to the cloud gateway. | | Streaming Processor | Apache Flink / Kafka Streams (Java) | Windowed aggregation (1‑minute tumbling windows) → compute features (Δ, trend, volatility). | | Predictive Engine | Python (Prophet, LightGBM) or TensorFlow Lite (if on‑device) | Hybrid model : • Statistical (Prophet) for seasonality (daily patterns). • ML (gradient‑boosted trees) for short‑term spikes. | | Adaptive Controller | Rust (low‑latency) + gRPC | Takes model output, decides if a parameter tweak (e.g., fan speed, bitrate) is needed, and issues the command back to the device. | | API Layer | FastAPI (Python) + OpenAPI spec | Exposes /forecast , /what‑if , /pulse-card . | | Front‑End UI | React + D3.js + Tailwind | • Live sparkline of the next 45 min. • “What‑If” slider overlay. • Pulse Card badge (green/yellow/red). | | Observability | Prometheus + Grafana + Loki | Metrics: model latency, forecast error, adaptation actions. Alerts if error > 5 % for > 3 min. |
@app.get("/health") def health_check(): return "status": "ok" nsfs-338-rm-javhd.today01-45-23 Min