Netdata AgentsEach 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.
Six innovations that redefine what monitoring agents can do
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.
Each agent runs 18 ML models per metric, achieving 99% false positive reduction in anomaly detection. AI troubleshooting explains issues in plain language.
One-line install, instant dashboards, 800+ integrations auto-discovered. Full visibility from the moment you deploy - no configuration, no waiting.
Every agent is a full observability engine with collection, storage, ML, alerts, and dashboards. Works independently, collaborates seamlessly.
Transparent per-node pricing for infrastructure monitoring, with no charges for metrics volume, Logs Monitoring (querying logs in place), users, data retention or containers. 90% cost reduction versus volume-based platforms - no surprise bills.
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
10-60× more granular than standard monitoring
Learn about real-time monitoring
36% less CPU, 88% less RAM vs Prometheus at scale
Explore edge architecture
Replaces dozens of console tools with history and ML
See Netdata Functions
99% false positive reduction in anomaly detection
Discover ML capabilities
80% MTTR reduction with AI-powered root cause analysis
Explore AI features
200× query accuracy, 90% cost savings vs Elasticsearch/Splunk
Learn about logs management
How Netdata Agents Compare
See how Netdata’s edge-native architecture delivers superior capabilities at a fraction of the cost
Capability
Netdata Agents
Traditional Agents
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
No per-metric charges
❌ 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
✅ Advanced
OS logs in place + any source via OpenTelemetry, 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
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
Learn about eBPF monitoring
Six reasons operations teams choose Netdata for edge observability
One-line installation, instant dashboards, 800+ integrations auto-discovered. Full visibility from the moment you deploy - no configuration, no waiting, no expertise required.
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.
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.
Each agent is a full observability engine with collection, storage, ML, alerts, and dashboards. Works independently during network partitions, collaborates seamlessly at scale.
Transparent per-node pricing for infrastructure monitoring. 90% cost reduction versus volume-based platforms - no surprise bills, no per-metric charges.
Browser-based access to all CLI tools - top, iostat, netstat, journalctl - with history, ML context, and AI guidance. Debug production without SSH access.
October 5, 2026
Netdata now ingests OpenTelemetry traces over OTLP on the same Agent that collects your metrics and logs. Spans are stored and indexed on your own infrastructure and explored in the new Traces tab in Netdata Cloud.
October 3, 2026
Your server monitoring dashboard shouldn't be a DIY project. Netdata charts every metric automatically — no query languages, no dashboards to build, ever.
September 8, 2026
Netdata AI now learns your infrastructure the way a new SRE would: a shared context document your team writes, and a memory layer built from conversations that gets more accurate every time you use it.
