Observability for API & platform teams

See every request
before it becomes
an incident.

Tracelight streams distributed traces, metrics, and logs into one query surface — so your engineers ship faster and sleep through the night.

Trusted by teams shipping at 2.4M spans / second.

live-traces · production streaming
$ tracelight tail --service checkout-api --live
200 POST  /v1/orders          42ms  trace=a91f…c2
200 GET   /v1/cart/items      18ms  trace=7b02…9d
429 POST  /v1/payments        311ms trace=c5d1…10 # rate-limited
200 GET   /v1/inventory/sync  27ms  trace=e4aa…3f
503 POST  /v1/shipping/quote  1.2s  trace=08fc…b7 # upstream timeout
 anomaly detected — p99 latency +214% on shipping/quote
2.4Mspans / second ingested
38msmedian query latency
99.99%ingestion uptime SLA
14 mohot trace retention
One platform, full stack visibility

Everything your platform team stares at, unified.

Distributed tracing

Follow a single request across dozens of services with waterfall views, flame graphs, and automatic span correlation.

Metrics that query

High-cardinality metrics with sub-second aggregation. No pre-defined dashboards required — just ask.

Anomaly alerts

Baseline-aware detection surfaces p99 spikes, error-rate drifts, and saturation before your users notice.

Log context, inline

Jump from a slow span straight to the exact log lines that explain it — no tab hopping, no grep spelunking.

OpenTelemetry native

Drop-in OTLP ingestion. Point your existing collectors at Tracelight and see data flowing in minutes.

Cost transparency

Per-service ingest budgets and sampling controls keep your observability bill predictable at any scale.

Neon-lit server room aisle with rows of network equipment

Built for the volume your infrastructure actually produces.

Columnar storage, adaptive sampling, and a query engine designed for engineers who don't have time to wait for a dashboard to load.

Query language, not click language

Ask in plain TraceQL. Get answers in milliseconds.

Stop building brittle dashboards. Write a query, save it as a monitor, share it as a link. Your whole team speaks the same observability language.

See it on your data
traceql
{ service = "checkout-api" &&
  duration > 300ms }
| by(route)
| p99(duration)

→ /v1/shipping/quote  1.24s
→ /v1/payments        0.31s
→ /v1/orders          0.09s
What engineers say

Loved by platform teams.

“We cut mean-time-to-resolution from 47 minutes to under 6. Tracelight is the first tab our on-call engineers open.”

Priya N. · Staff SRE, fintech platform

“Setup took fifteen minutes and we had real traces flowing before our next standup. No SDK gymnastics required.”

Devon R. · Head of Platform, logistics SaaS

“TraceQL replaced eleven brittle dashboards. Now every on-call engineer just writes the query they actually need.”

Sofia M. · Principal Engineer, payments infra

“We cut mean-time-to-resolution from 47 minutes to under 6. Tracelight is the first tab our on-call engineers open and the last one they close.”

— Priya N., Staff SRE at a fintech platform
Start free · no credit card

Instrument your first service today.

Tell us where your stack lives and we'll spin up a workspace with sample data so you can explore before you connect a single collector.

  • 14-day full-feature trial
  • OTLP endpoint provisioned instantly
  • SOC 2 Type II & GDPR ready

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