Fleet Monitoring with Netdata

What You'll Learn

Modern infrastructure doesn't live in one data center 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.

Key Takeaways

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