Fleet Monitoring with Netdata

Modern infrastructure doesn't only live in data centers anymore. It's in retail stores, factory floors, vehicles, cell sites, kiosks, and robots, thousands of nodes across hundreds of locations, connected over links you don't control, in places your team can't easily reach.
Traditional observability wasn't built for this. Centralizing every metric from every device gets expensive fast, degrades over constrained links, and goes blind exactly when a remote node needs attention most.
In this webinar, we'll show how Netdata inverts the model by putting intelligence at the edge. Every node monitors itself with per-second granularity and runs unsupervised ML anomaly detection locally, so detection never depends on a round trip to the cloud. Parents aggregate at each site, buffer through connectivity drops, and Netdata Cloud stitches it all into one live view of the entire fleet, while your data stays where it was born.
You'll learn how to:
Architect monitoring for constrained, intermittent, and air-gapped environments
Deploy and organize fleets at scale — provisioning, spaces and rooms, ephemeral nodes
Catch issues early with ML-driven anomaly detection running on every device
Troubleshoot remote incidents with AI assistance, no SSH session required
Keep costs predictable as node counts grow, with no per-metric pricing