Drive the AIOps loop yourself
No sign-up. Trigger a production incident and watch lux-aiops detect the anomaly, find the root cause and auto-remediate — in seconds.
Choose an incident scenario
AIOps pipeline
1200req/s
95ms
0.2%
×0.4SLO 99.5%
Service map
Live logs
…
AIOps timeline
All systems healthy.
Pick a question:
Telemetry cost calculator
Estimate what edge-filtering saves versus a legacy per-GB ingest model.
Legacy per-GB ingest
€1,500
/ month
lux-aiops (edge-filtered)
€300
/ month
Illustrative: legacy ≈ €0.10/GB ingest; lux-aiops filters ~80% at the edge.
What this demo shows
This simulation replays the AIOps loop lux-aiops runs in production: continuous anomaly detection across metrics, traces and logs, automated root cause analysis that correlates deployments with symptoms, and one-click or fully automatic remediation. On real incidents, that loop is what cuts mean time to resolution (MTTR) from hours of dashboard-hopping to minutes — the platform surfaces the faulty deployment, the saturated connection pool or the leaking service before on-call has finished reading the alert.
Want this on your own stack?
Spin up a free workspace or request a tailored proposal.