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Tracelight,
Tracelight,
in action.
A closer look at the console — live traces, TraceQL queries, anomaly alerts, and the views your on-call engineers actually live in.
$ tracelight tail --service checkout-api --live 200 POST /v1/orders 42ms trace=a91f…c2 429 POST /v1/payments 311ms trace=c5d1…10 # rate-limited 503 POST /v1/shipping/quote 1.2s trace=08fc…b7 # upstream timeout
Live trace stream
Every request across your services, tailed in real time with status, latency, and trace ID.
{ service = "checkout-api" && duration > 300ms } | by(route) | p99(duration) → /v1/shipping/quote 1.24s → /v1/payments 0.31s
TraceQL query builder
Ask a plain-language question about your traces and get an answer in milliseconds — no dashboard required.
› anomaly detected — p99 latency +214% on shipping/quote › baseline: 180ms current: 1.2s › notifying #platform-oncall
Baseline-aware alerts
Anomaly detection flags p99 spikes and error drift before your users notice, routed straight to on-call.
Ingestion at scale
Behind every query: columnar storage and adaptive sampling built to keep up with production traffic.
Like what you see?
See it live on your own data.
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