Sub-500ms telemetry ingestion, alarm routing, and unified monitoring across dozens of plants and multiple industrial protocols.
A multi-MW renewable plant generates millions of data points a day. An inverter trips. A transformer heats up. A weather event drops output by 40%. Every minute those events stay invisible is money the operator does not get back.
Existing monitoring options were either enterprise-priced, single-vendor, or too slow. Cloud polling at 15-minute intervals meant a plant could sit in fault for a quarter of an hour before anyone noticed. On-site visual checks worked in the daytime and stopped working at night. There was no single place a portfolio manager could look and see the current state of every asset.
A realtime monitoring platform that ingests telemetry from any plant, presents it in a single unified dashboard, and routes alarms to the right person within seconds.
The system handles the industry-standard protocols directly — WebSockets, MQTT, OPC-UA — so any plant with a modern control system can be connected without a custom collector. Data lands in a structured store designed for both live queries and historical analysis. Alarm rules are configured per plant and per asset. When something trips, the right person's phone rings.
The data pipeline is also designed to feed downstream AI systems — forecasting, anomaly detection, predictive maintenance.
If your business has machines, servers, vehicles, or field assets that can fail silently and cost you money every hour they stay broken, this is the same problem. It does not matter whether the asset is a solar inverter, a factory conveyor, a delivery van, or a cloud database. Silent failure is the enemy. The fix is fast telemetry, clean alarms, and a dashboard people actually check.
Next.js, PostgreSQL, WebSockets, MQTT, OPC-UA, Docker.