Async-Rust on Antony Mapfumo

From LoRa Modules to Native LoRaWAN the STM32WL Migration - Wk10

Sun, 11 Jan 2026 13:50:05 +1000

The Challenge

For the first 9 weeks of this project, I’ve been using RYLR998 LoRa modules - simple AT command modules that handled the radio work while my STM32 focused on sensors. They worked beautifully for point-to-point communication (600m range, 95% success rate), but they had a fundamental limitation:

They weren’t LoRaWAN.

LoRa (the physical layer) is great for custom networks. But LoRaWAN (the MAC layer protocol) is what you need for:

Complete IoT Telemetry Pipeline: From Sensors to Dashboards - Wk7, 8)

Sun, 28 Dec 2025 11:42:16 +1000

Week 7+8 represents project completion at the infrastructure level. This isn’t about adding one more feature - it’s about building the complete path from sensor to insight.

After seven weeks:

Week 1-3: Sensors talk via LoRa ✅
Week 5: Gateway firmware outputs JSON ✅
Week 6: Async service processes data ✅
Week 7: Data goes to MQTT and InfluxDB ✅
Week 8: Professional dashboards visualize everything ✅

This is a complete IoT monitoring system. From a temperature sensor on a breadboard to a Grafana dashboard refreshing every 10 seconds. All in Rust. All running on real hardware.

Async Rust Gateway From Embedded Firmware to Cloud Infrastructure - wk6

Sun, 21 Dec 2025 10:34:48 +1000

Week 6 marks a fundamental shift in the project. Up through Week 5, everything stayed within the embedded realm - microcontrollers talking to each other over LoRa. Data lived in OLED displays and defmt logs that disappeared when you closed the terminal.

Week 6 changes that. It’s the bridge between embedded and cloud, between constrained systems and abundant infrastructure, between no_std and std.

This is the week I learned async Rust isn’t just about performance - it’s about building systems that compose.