Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Distributed Tracing in Netdata

Netdata now supports distributed tracing. In this webinar, we'll demo the new tracing capabilities for the first time: OpenTelemetry trace ingestion, the new tracing dashboard, and the UI built to let you move from a metric anomaly to the exact span that caused it. For years, teams have asked us to close the gap between infrastructure monitoring and application performance. This release does that. Netdata can now ingest traces via OTEL, correlate them with the metrics and logs you already collect, and surface them in a purpose-built interface designed for speed and clarity.

Fleet Monitoring with Netdata: Live Demo

A walkthrough of monitoring a distributed fleet with Netdata, using a simulated fleet of about 1,000 devices spread across regions. We show how the whole fleet reports into a single view: per-second metrics from every node, grouping by region and by customer, a map view that colors each device by health, filtering and saved views for different teams, and an AI-assisted investigation that scans the fleet for anomalies and points to likely causes.

Introducing Infrastructure Knowledge: Teach Netdata AI What Your Metrics Can't Show

Netdata AI sees everything your infrastructure does: every metric, every anomaly, every alert. It does not see what your infrastructure is: which services matter, which host is supposed to run hot, who owns what, what your team considers normal. Without that context, “CPU at 91%” is just a finding. With it, it might be a machine doing exactly its job.

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.

Chart Annotations: Pin the Deploy, the Incident, or the Config Change Right on the Chart

A chart shows you that CPU jumped at 15:57. It doesn’t show you that a deploy went out at 15:56. Chart annotations let you pin a note to the exact moment on a chart, and it stays there for everyone in your Space, permanently, the next time anyone looks at that chart.

Netdata Network Topology: Live SNMP Discovery & Container Connection Maps

Netdata now builds live network topology maps directly in the agent: no scheduled scans, no stale picture the next morning. In this walkthrough, we cover both sides of the new Topology view: Network device discovery (SNMP): Container & process network connections.

Introducing MCP Connections: Netdata AI Now Reads From the Tools You Already Run

Netdata AI can now connect outward to the tools your team already runs, like GitHub, PagerDuty, Atlassian, or any custom MCP server, and read from them during an investigation. We call this MCP Connections. It’s the missing piece in the middle of every root-cause investigation: the alert tells you what changed, but the why is usually somewhere else entirely.

Netdata AI & MCP: Root cause in one investigation

An alert tells you what changed. It rarely tells you why. That answer usually lives somewhere else: the pull request that shipped minutes earlier, the incident already open in PagerDuty, the runbook sitting in Confluence. Netdata AI can now reach those systems directly. Through the Model Context Protocol, it connects to the tools your team already runs and reads from them while it investigates. It pulls that context alongside the metrics, logs and anomalies Netdata detects on every node, then reasons across both.