The fastest path to full stack observability.
Zero-config observability with an on-call AI partner. Per-second metrics that stay on-prem; Netdata AI investigates, explains root cause, and guides fixes in plain English.
Trusted by 1000+ companies
Complete observability to slash downtime and keep your infrastructure running reliably.
AI Troubleshooting
Infrastructure
Applications
Synthetic tests
Networks
Logs
Metrics
Observe Everything
Monitor everything from bare metal to multi-cloud with Netdata’s 800+ integrations that collect, visualize, and analyze every metric every second while maintaining complete data sovereignty and zero sampling.
Per-Second Truth (No Sampling)
Every metric. Every second. No BS.
AI That Actually Helps
Not another chatbot. Real answers from your actual metrics, explaining problems and fixes in plain English.
Unparalleled Visibility
1800x more visibility with 30x more metrics collected per second.
Lightweight Edge-Native Design
40x better storage efficiency. 22x faster responses. 15% of the resources. Native horizontal scalability
Predictable Costs That Won’t Punish Growth
All observability data as close to the edge as possible. 80%+ observability and cost reduction
Amazing Operations Efficiency
A single pane of glass, eliminating 90% of admin console access in day-to-day operations.
Your Data, at your Premises.
Complete data sovereignty and regulatory compliance
Transportation
Barcelona’s public transit achieves holistic infrastructure monitoring
80%
Of problems solved with 20% of effort
50%
Less time on software impact analysis
99%
Reduction in website downtime
67%
Less dedicated monitoring effort needed
6x
Faster troubleshooting—30 seconds vs 2-3 minutes
40%
Budget optimization with out-of-the-box features
Validated by experts, chosen by engineers
“So easy to setup, the graphs looks clean and sleek, and super easy to dive into. The app is super easy to use, and I love having a history and being able to look back at my data/usage.”
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G2
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Very easy to set up and configure, lots of metrics that are very accessible, super useful for a small team of researchers using a few large workstations for data analysis and machine learning.
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