Netdata Agents

Complete Observability Engines That Run Everywhere

Each Netdata Agent is a full monitoring system - collection, storage, ML, alerts, dashboards - working autonomously at the edge. Deploy in 60 seconds, monitor everything instantly, troubleshoot with AI. No configuration, no complexity, no compromise.

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True Real-Time Visibility

Per-second data collection with sub-2-second latency. Catch the 3-second spike that triggers a 30-second outage - invisible to minute-based monitoring.

Edge Intelligence Built In

Each agent runs 18 ML models per metric, achieving 99% false positive reduction in anomaly detection. AI troubleshooting explains issues in plain language.

60-Second Deployment

One-line install, instant dashboards, 800+ integrations auto-discovered. Full visibility from the moment you deploy - no configuration, no waiting.

Complete Autonomy

Every agent is a full observability engine with collection, storage, ML, alerts, and dashboards. Works independently, collaborates seamlessly.

Predictable Economics

Transparent per-node pricing with unlimited metrics, logs, and users. 90% cost reduction versus volume-based platforms - no surprise bills.

Console Replacement

Browser-based access to all CLI tools - top, iostat, netstat, journalctl - with history, ML context, and AI guidance. Debug without SSH.

Trusted by operations teams worldwide

Edge Intelligence That Transforms Operations

See What Others Miss With Per-Second Precision

Traditional monitoring collects data every 30-60 seconds, missing 90% of transient issues. Netdata’s per-second granularity reveals microbursts, cascading failures, and security threats invisible to averaged data. When a database query spikes to 100% CPU for 3 seconds every 20 seconds, minute-based tools show harmless 15% average load. Netdata shows the damaging spike pattern - enabling accurate diagnosis and faster resolution.

10-60× more granular than standard monitoring

Learn about real-time monitoring

See What Others Miss With Per-Second Precision

Distribute Intelligence Instead of Centralizing Data

Each Netdata Agent is a complete monitoring system - not just a data forwarder. It collects metrics, stores them locally in multi-tier databases, trains 18 ML models per metric, evaluates health checks, triggers alerts, and serves dashboards independently. This distributed architecture eliminates centralized bottlenecks, reduces bandwidth costs, ensures data sovereignty, and scales linearly to any size. Add 1,000 nodes or 100,000 - performance remains consistent.

36% less CPU, 88% less RAM vs Prometheus at scale

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Distribute Intelligence Instead of Centralizing Data

Troubleshoot Production Without Ever Logging In

Netdata replaces SSH access with browser-based diagnostics that provide console-quality precision plus historical context. Access all traditional CLI tools - top, iostat, netstat, ss, df, free, iotop, htop, systemd-cgtop, journalctl - unified in one interface with per-second updates, ML anomaly context, and AI-powered guidance. Operations teams debug production securely without infrastructure access. Junior engineers operate at senior level with AI explaining issues in plain language.

Replaces dozens of console tools with history and ML

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Troubleshoot Production Without Ever Logging In

Machine Learning That Detects Real Anomalies

Netdata trains 18 unsupervised k-means models per metric automatically at the edge - no configuration, no tuning, no thresholds to set. Anomalies are flagged only when all 18 models agree, achieving 99% false positive reduction in anomaly detection. The Anomaly Advisor correlation engine cuts through thousands of metrics to surface root cause in the top 30-50 results. Models retrain every 3 hours, adapting continuously to infrastructure changes while consuming just 18KB RAM per metric.

99% false positive reduction in anomaly detection

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Machine Learning That Detects Real Anomalies

AI Troubleshooting in Your Language

Ask questions about your infrastructure in plain English - no PromQL, SQL, or custom query languages required. Netdata’s AI has complete context: per-second metrics, ML anomalies, logs, topology, alert history. Choose managed AI via Netdata Cloud (includes 10 free sessions monthly with optimized playbooks) or bring your own LLM via Model Context Protocol running directly on agents. One-click ‘Ask AI’ on every alert provides instant explanations with recommended actions. AI Insights generates automated reports for capacity planning, performance optimization, and anomaly analysis.

80% MTTR reduction with AI-powered root cause analysis

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Logs Without Pipelines, 90% Cost Reduction

Netdata eliminates log pipelines entirely through direct systemd-journal access on Linux and Windows Event Log on Windows. No log shipping, no Elasticsearch clusters, no Splunk licenses, no ingestion fees. Every field in every log entry is automatically indexed by the operating system - Netdata just makes it queryable at scale. Analyze 1 million entries before sampling versus 5,000 for traditional tools (200× more accurate). Instant correlation with metrics from the same source eliminates timestamp matching complexity. Forward Secure Sealing provides tamper detection for compliance.

200× query accuracy, 90% cost savings vs Elasticsearch/Splunk

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Logs Without Pipelines, 90% Cost Reduction

How Netdata Agents Compare

Netdata vs Traditional Monitoring Agents

See how Netdata’s edge-native architecture delivers superior capabilities at a fraction of the cost

Data Granularity

✅ Per-Second
True real-time with 1s collection

⚠️ Per-Minute
30-60s intervals miss transient issues

Time to First Dashboard

✅ 60 Seconds
Instant visibility, zero configuration

⚠️ Days to Weeks
Manual dashboard building required

Machine Learning

✅ Included
18 models per metric, automatic

❌ Not Available
Requires separate tools or paid add-ons

Agent Footprint

✅ <5% CPU, 150-200MB RAM
Independently validated lowest overhead

⚠️ Higher Resource Usage
Significant production system impact

Storage Architecture

✅ Edge-Native
0.6 bytes/sample, multi-tier local storage

⚠️ Centralized
Expensive cloud storage with egress fees

Pricing Model

✅ Per-Node Flat Rate
Unlimited metrics, logs, users

❌ Volume-Based
Per-metric, per-log, per-feature charges

Query Language Required

✅ None
Point-and-click analysis, natural language AI

❌ PromQL/SQL Required
Steep learning curve for queries

Log Management

✅ Direct Access
No pipelines, 90% cost reduction

⚠️ Pipeline Required
Elasticsearch/Splunk infrastructure needed

Console Tools Access

✅ Built-In
All CLI tools in browser with history

❌ SSH Required
Separate access for troubleshooting

AI Troubleshooting

✅ Integrated
Managed AI or bring your own LLM

❌ Not Available
Generic chatbots without infrastructure context

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Technical Capabilities That Set Netdata Apart

Kernel-Level Visibility Without Code Changes

Netdata leverages eBPF for kernel-space monitoring with significantly lower overhead than traditional userspace agents. Zero instrumentation required - monitor process lifecycles, system calls, network packets, file access, memory allocation, and CPU scheduling directly from the kernel.

Kernel-level insights

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Key Advantages of Netdata Agents

Six reasons operations teams choose Netdata for edge observability

Deploy in 60 Seconds

One-line installation, instant dashboards, 800+ integrations auto-discovered. Full visibility from the moment you deploy - no configuration, no waiting, no expertise required.

True Real-Time Monitoring

Per-second data collection with sub-2-second latency catches transient issues invisible to minute-based monitoring. See what’s happening right now, not averaged history.

ML on Every Metric

18 unsupervised models per metric train automatically at the edge, achieving 99% false positive reduction in anomaly detection. Anomaly Advisor surfaces root cause in top 30-50 correlated metrics.