No collectors to operate, no query language to learn. Instrument once, and SentriNode handles ingestion, analysis, prediction, and the fix.
Add the SDK to your app — two lines for Python or Node, or point any OpenTelemetry client at our endpoint. Your services and LLM calls start streaming spans instantly.
We compute live latency (p50/p95), error rates, throughput, and LLM cost per model — and run anomaly detection across every service in real time.
SentriNode warns you before an incident breaks, lets you replay exactly how it happened, and hands you the root cause, a Jira ticket, and the commands to run.
Most tools show you a graph and leave the thinking to you. SentriNode does the thinking.
Per-model spend, tokens, and latency — so the call that quietly costs 15× as much stops hiding in your bill.
A trend forecast that warns you a breach is coming, names the culprit service, and gives you an ETA — before the page fires.
Scrub any incident frame by frame. Watch the latency spike build and the failure cascade, exactly as it happened.
AI root cause + a filled-in Jira ticket + the exact diagnostic commands, generated from the live anomaly.
Model traffic spikes, added latency, or extra capacity against your real baseline — and see the projected impact and cost.
Recommendations on what to sample or drop, with savings estimates, so you ingest only what's worth paying for.