Case study · Telco
Exploiting Edge Data
Real-time pipeline from Node-RED at the edge through Kafka and PySpark, feeding live Grafana dashboards across a hybrid on-prem/cloud setup.
The situation
Network health and OSS metrics were scattered across edge devices with no unified view — problems surfaced only after they’d already affected the network.
What we built
A real-time pipeline from Node-RED at the edge, through Kafka and Airflow-orchestrated PySpark processing, feeding live Grafana dashboards — running across a hybrid on-premise and cloud setup without sacrificing performance or flexibility.
Services involved
Next steps
Real-time pipelines require engineering.
If your data lives at the edge or needs to move in real-time, we can design the streaming architecture and build the pipelines that make monitoring possible.