Network Monitoring

See Network Issues Before They Impact Users

Q: What network metrics does Netdata monitor?

Netdata monitors all standard network interface metrics including bandwidth (RX/TX bytes, packets), error rates (drops, overruns, framing errors), TCP/UDP connection states, network latency, and interface status changes. Additionally, Netdata monitors TCP/IP stack metrics, firewall connection tracking, container networking via cgroups, and SNMP devices with 100+ vendor profiles.

Q: Does Netdata support SNMP monitoring?

Yes, Netdata provides comprehensive SNMPv3 support with USM (User-Based Security Model) authentication and VACM (View-Based Access Control Model) authorization. The platform includes 100+ pre-configured vendor profiles for Cisco, Arista, Juniper, Palo Alto, FortiGate, F5, and other major network vendors. Auto-discovery of MIBs and OIDs simplifies deployment across multi-vendor networks.

Q: How does Netdata handle container and Kubernetes networking?

Netdata monitors container networking through kernel-level cgroups integration, providing per-pod bandwidth utilization, TCP/UDP connection statistics, service communication patterns, and network policy enforcement visibility. Kubernetes pod networking metrics include ingress/egress traffic, connection tracking, and correlation with host-level network statistics for complete visibility.

Q: What makes Netdata's anomaly detection different from traditional NPM tools?

Netdata trains 18 unsupervised ML models per metric using different time windows, requiring consensus from all models before flagging anomalies. This achieves approximately 10^-36 theoretical false positive rate compared to 1-5% for traditional threshold-based systems. Dynamic baselines eliminate manual threshold configuration while maintaining high detection accuracy.

Q: Can Netdata monitor cloud network traffic?

Netdata integrates with cloud provider metrics through Prometheus exporters for AWS CloudWatch, EC2, RDS, and GCP GCE. VPC flow log collection requires Prometheus exporter integration. Netdata Cloud provides unified views across hybrid environments with global nodes filtering for cross-environment slicing and correlation analysis.

Q: How quickly can I deploy Netdata for network monitoring?

Netdata installs in 60 seconds with one-line installation. Auto-discovery begins immediately, detecting all network interfaces, SNMP devices, and containers within minutes. Pre-configured dashboards and 400+ alert templates provide immediate visibility without manual configuration. Initial ML-based anomaly detection is available within 15 minutes, with full ML confidence reached in 2 days.

Q: What alert capabilities does Netdata provide for network monitoring?

Netdata includes 400+ pre-configured alert templates for network devices and services. Component-level alerts provide dedicated monitoring for each interface, connection, and process. Alert severity levels (critical, warning, clear) enable proper prioritization. ML-based anomaly detection provides additional signal beyond threshold-based alerts for behavioral deviations.

Detect anomalies in real-time with per-second data collection, ML-powered insights, and zero-configuration deployment. 90% of enterprises experience weekly network issues - Netdata helps you catch them first.

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Per-Second Detection

Catch issues invisible to minute-averaged monitoring. 77% of enterprises prioritize real-time capabilities - Netdata delivers sub-2-second latency from event to insight.

ML-Powered Anomaly Detection

18 ML models per metric with consensus detection achieve 99% false positive reduction. Detect real network anomalies with ML-based insights.

Zero Configuration

Auto-discovers all network interfaces, SNMP devices, and containers. 59% of enterprises plan tool replacement due to complexity - Netdata deploys in 60 seconds.

Hybrid Cloud Visibility

Unified view across on-premises, cloud, and container environments. 61% run hybrid architectures requiring unified visibility - Netdata provides it.

Network Security Insights

Monitor TCP connections, firewall states, and anomaly patterns. Detect encrypted traffic anomalies and connection issues without deep packet inspection.

Predictable Cost Model

Per-node pricing with included AI/ML. 90% cost savings vs. traditional NPM tools. No surprise bills from data volume or metric counts.

Trusted by Network Teams Worldwide

Network Monitoring That Actually Works

Real-Time Visibility Across All Network Layers

Monitor interfaces, TCP/IP stack, containers, cloud VPCs, and SNMP devices from a single pane of glass. See bandwidth utilization, connection states, error rates, and throughput in real-time.

Per-second data collection

Explore Network Metrics

Real-Time Visibility Across All Network Layers

ML-Powered Anomaly Detection

Netdata’s 18 ML models per metric continuously learn normal network behavior. Dynamic baselines eliminate static threshold configuration while detecting deviations automatically.

99% false positive reduction

Learn About Anomaly Detection

Automated Alert Management

400+ pre-configured alerts with severity levels. Component-level alerts for each interface, connection, and process. ML-based anomaly detection provides additional insights for critical issues.

400+ alert templates

View Alert Configuration

SNMP Device Monitoring

100+ vendor profiles for Cisco, Arista, Juniper, Palo Alto, FortiGate, F5, and more. Full SNMPv3 support with USM/VACM authentication. Auto-discovery of MIBs and OIDs.

100+ vendor profiles

Browse Integrations

Container & Kubernetes Networking

Monitor pod-to-pod traffic, service communication, and network policies in Kubernetes. Per-container bandwidth, TCP/UDP statistics, and connection tracking without agent overhead.

Container-level visibility

Explore Kubernetes Monitoring

Feature Comparison

Network Monitoring Capabilities

Compare Netdata against leading network monitoring solutions across critical capabilities.

Per-Second Collection
Real-time data granularity

✅ Native
1-second collection, sub-2s latency

⚠️ Limited
10-60 second intervals typical

ML Anomaly Detection
AI-powered insights

✅ Native
18 models per metric, consensus detection

⚠️ Add-on
Premium tiers or third-party required

Auto-Discovery
Zero configuration

✅ Native
Multi-layer discovery framework

⚠️ Manual
Device-by-device setup required

SNMPv3 Support
Secure protocol

✅ Native
100+ vendor profiles, USM/VACM

✅ Native
Standard support across vendors

Hybrid Cloud Visibility
Multi-environment correlation

✅ Native
Unified view via Netdata Cloud

⚠️ Partial
Gaps in multi-cloud coverage

Cost Model
Predictable pricing

✅ Per-node
No data volume charges

⚠️ Variable
Per-host, per-element, or volume-based

Compare Full Features

Network Monitoring Capabilities

Per-Second Network Visibility

Netdata collects network metrics every second with sub-2-second latency from event to insight. Monitor interface statistics, bandwidth utilization, error rates, packet counts, and connection states in real-time. See the full picture of network health without waiting for minute-averaged data.

Explore Real-Time Monitoring

Network Monitoring That Works

Key capabilities that make Netdata the choice for modern network teams

Per-Second Collection

Real-time data with sub-2 second latency from event to insight

ML Anomaly Detection

18 models per metric with 99% false positive reduction

Zero Configuration

Auto-discovers interfaces, devices, and containers instantly

Hybrid Cloud Support

Unified visibility across on-prem and cloud environments

Security Insights

Monitor TCP states, firewall patterns, and anomalies

Predictable Pricing

Per-node model with included AI/ML features

Frequently Asked Questions

What network metrics does Netdata monitor?

Does Netdata support SNMP monitoring?

How does Netdata handle container and Kubernetes networking?

What makes Netdata’s anomaly detection different from traditional NPM tools?

Can Netdata monitor cloud network traffic?

How quickly can I deploy Netdata for network monitoring?

What alert capabilities does Netdata provide for network monitoring?

How does Netdata compare to traditional NPM tools like SolarWinds or PRTG?

Netdata provides per-second data collection (vs. 10-60 seconds for traditional tools), native ML anomaly detection with 18 models per metric (vs. 1-3 models or add-on features), zero-configuration deployment (vs. manual device-by-device setup), and per-node pricing with included AI/ML (vs. premium tiers or volume-based pricing). Netdata’s edge-native architecture scales linearly without central bottlenecks.

September 26, 2023

Netdata QoS Classes monitoring

Ensuring Quality of Service with Advanced Network Insights

December 23, 2025

Introducing Real-Time Conversations with Netdata AI

Engage in a live, interactive dialogue with your infrastructure. Introducing a real-time conversational interface that generates charts, logs, and data visualizations on the fly.

December 18, 2025

Text-to-Alert: Generating Netdata Alerts from Natural Language

Simplify alert configuration with Netdata AI. Create, understand, and get suggestions for powerful alerts using plain English, no complex syntax required.

See Network Issues Before They Impact Users

Network Monitoring That Works

Per-Second Detection

ML-Powered Anomaly Detection

Zero Configuration

Hybrid Cloud Visibility

Network Security Insights

Predictable Cost Model

Network Monitoring That Actually Works

Real-Time Visibility Across All Network Layers

ML-Powered Anomaly Detection

Automated Alert Management

SNMP Device Monitoring

Container & Kubernetes Networking

Network Monitoring Capabilities

Network Monitoring Capabilities

Per-Second Network Visibility

Machine Learning for Network Anomalies

Smart Alert Configuration

Comprehensive SNMP Monitoring

Container Network Monitoring

Network Monitoring That Works

Per-Second Collection

ML Anomaly Detection

Zero Configuration

Hybrid Cloud Support

Security Insights

Predictable Pricing

Frequently Asked Questions

Netdata QoS Classes monitoring

Introducing Real-Time Conversations with Netdata AI

Text-to-Alert: Generating Netdata Alerts from Natural Language

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