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Distributed Tracing

Every span, every service hop, in one waterfall.

Overview

Span ingestion with full waterfall reconstruction and a dependency-aware service map that draws itself from live traffic.

A trace id resolves to a full waterfall with span list, service attribution and error marking. The shared correlation key is what makes the jump between a trace, its logs and its metrics a navigation rather than a re-query.

Key features

  • Waterfall and span list for any trace id
  • Error spans surfaced on the critical path
  • Pillar correlation: trace ↔ logs ↔ metrics
  • Server-side filtering and ordering by duration or status

Delivery

Distributed Tracing is part of the full platform in both delivery models — there is no cut-down edition.

SaaS · Fully managed

We run the platform, handle upgrades, scaling and backups. You point your collectors at an endpoint and start asking questions the same afternoon.

PaaS · Your infrastructure, our platform

The full platform deployed into your own Kubernetes clusters or VMs, with telemetry never leaving your network boundary. We operate and support it where you host it.

See it on your own questions.

Request a login to the live demo with 80M spans, or book a walkthrough on your stack.