03 / Edge-to-cloud intelligence Live service
Meshradar
The cloud layer that combines what many Meshpoints hear into one searchable, network-wide view, with live maps, topology, packet analytics, and fleet health.
Problem
Each edge device sees only nearby activity, so operators had no searchable view of the network across locations and time. They couldn't tell which nodes exist, how they connect, or whether their own stations were healthy.
Contribution
- Built the cloud intelligence layer that ingests uplinks from Meshpoint stations.
- Built live mapping, signal analysis, network topology, and packet analytics.
- Added fleet health monitoring and a searchable node catalog.
Implementation
From one station to a network
A Meshpoint can sync upstream over an optional WebSocket uplink. Meshradar combines those streams from every participating station, turning many partial local views into one picture of the mesh: where the nodes are, what they report, and how traffic moves between them.
What operators get
- Live map: node positions and registered stations across sites.
- Topology and signal analysis: which nodes hear which, and how well.
- Packet analytics: traffic history across the whole fleet, not just the last few minutes on one device.
- Fleet health: whether each station is online and reporting.
- Node catalog: a searchable index of every node the network has heard.
Demonstrated outcome
- Running publicly at meshradar.io.
- meshradar.io reports a catalog of 66,000+ indexed nodes, refreshed hourly.
Known limits
- Cloud sync is optional. Meshpoint stations can run fully local.