Service map
Derive topology and service health from traces to see dependency paths and degraded nodes.
Explore service health, RED metrics, latency distributions, error-first traces, and complete span waterfalls in one workflow.

Understand which service changed, which request failed, and what the rest of the stack recorded.
Derive topology and service health from traces to see dependency paths and degraded nodes.
Use rate, errors, and duration as the first filter before opening individual traces.
Prioritize failed and slow operations, then inspect the complete span waterfall.
Keep the trace connected to logs, metrics, profiles, services, and the current investigation frame.
workflow
Move from broad service behavior to the smallest useful unit without losing the path back.
Identify degraded or failing nodes and the request rate moving through each edge.
Use latency distribution and error state to focus on representative requests.
See where the critical path spent time and which downstream operation returned the failure.
Continue with the same trace, span, service, and time context in the investigation stack.
proof / shipped
Service graph, RED metrics, trace detail, and server-side correlation routes are part of the current API and UI.
Explore service health, RED metrics, latency distributions, error-first traces, and complete span waterfalls in one workflow.