"You've deployed LoRaWAN sensors. They're transmitting to The Things Network perfectly. But here's where most people get stuck: turning that raw sensor data into actual dashboards you can use. If you've searched for "The Things Network Grafana visualization" or "how to store TTN data," you've probably found tutorials that require setting up InfluxDB, configuring Telegraf with MQTT, wrestling with Docker containers, or paying for Azure IoT Hub. Hours of configuration, multiple moving parts that can break, and the constant burden of maintenance."
"There's a simpler path. Telemetry Harbor's TTN integration connects your LoRaWAN data to production-ready Grafana dashboards in under 10 minutes. One webhook, zero infrastructure, and your sensor data starts flowing immediately with RSSI, SNR, and network quality metrics automatically included. The Things Network receives your data perfectly, but it only stores it for seven days. After that, it's gone. This puts you in an impossible position: either build custom storage infrastructure yourself, or lose all your historical sensor data."
LoRaWAN sensors can transmit data to The Things Network but converting raw payloads into dashboards typically requires complex infrastructure like InfluxDB, Telegraf, Docker, or cloud IoT services. Telemetry Harbor provides a TTN integration that delivers production-ready Grafana dashboards in under ten minutes via a single webhook, automatic decoding, and included network metrics such as RSSI and SNR. The Things Network retains data only seven days, creating a need for long-term storage; Telemetry Harbor offers storage and visualization without user-managed databases or containers and includes a free tier and an optional self-hosted open-source version.
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