A lightweight AI agent on each server that learns what is normal and alerts only when something is truly wrong. Mesh consensus between nodes eliminates false alarms.
| Traditional (Datadog, Zabbix) | Luviner Lynx | |
|---|---|---|
| Detection | Static rules and thresholds | AI-learned patterns |
| False alarms | 90% of alerts are noise | Mesh consensus significantly reduces noise |
| Alert latency | Seconds to minutes | Microseconds |
| Pricing | 5-23 per host per month | Flat rate, not per host |
| Your data | Sent to vendor cloud | Stays on your servers |
| Works offline | No | Yes, fully air-gapped |
Comparison based on anomaly detection scope. Traditional tools offer broader features (logging, APM, tracing) not included here.
Each server learns its own definition of "normal". No manual thresholds. The AI model understands that Friday backups raise CPU, and does not alert.
Catches gradual degradation that static thresholds miss. Memory leaks, disk filling, performance decay — detected days before the crash.
Nodes vote on anomalies. If 5 servers spike together, it is a deploy (ignore). If 1 server spikes alone, it is a real problem (alert).
Less than 5 MB RAM, less than 0.1% CPU. The agent is invisible on your server. No heavy collectors, no data lake, no storage costs.
Raw metrics never leave your server. Only anomaly scores (a few bytes) are shared. GDPR-compliant by architecture, not by policy.
The model adapts to seasonal patterns, new deployments, and infrastructure changes. No re-configuration needed.
One command. The agent installs, registers, and starts learning your server baseline automatically.
The AI observes your server for 5 minutes and builds a model of what is normal. No configuration required.
Continuous monitoring with real-time alerts. If you have multiple servers, they form a mesh and vote on anomalies.
Multiple servers? Nodes communicate to distinguish a deploy from a real problem. Zero false alarms.
Linux native (Ubuntu, Debian, RHEL, x86_64 / aarch64). On macOS the same one-liner runs Lynx as a Docker container — Docker Desktop required.