Explore for tracing

Turn raw spans into high-signal investigations. Spans, logs and metrics in one view, to confirm root cause without switching tools.

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Tracing

The most actionable tracing stack on the market

Start from the signal

Start investigations with signal by automatically surfacing latency drivers, pivoting to the Flows tab to visually map requests and identify the regions responsible.

High-performance

Group high-cardinality spans inside the Overview tab to analyze patterns and compare spikes against historical baselines, lag-free, across large time ranges.

Linked telemetry

Centralize investigations by natively linking spans to relevant logs, Infrastructure metrics, Events, AI sessions, and profiling – preserving context without tab switching.

Investigate

Surface root cause in a few clicks

Explore for spans

Gain a clear path to resolution

Query spans at high speed, and pivot between Traces and Flows to see patterns or request journeys without restarting your investigation.

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Performance analytics

Stop manual searching, start finding anomalies

Instantly surface errors and latency spikes. Highlights show you the directly responsible fields or tags, allowing you to compare time periods to understand exactly what shifted and why.

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Signals tab

Navigate from overview to insight

Monitor real-time RED metrics to instantly identify systemic latency shifts. Switch to the Outliers view to map latency percentiles alongside error distributions so you can spot when performance variables shift together.

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Trace drilldown

From map to resolution

Click any execution node to instantly map end-to-end trace dependencies. The drill-down drawer aggregates correlated logs, host resource metrics, profiling data, and AI-assisted diagnostics localized to your selected span automatically.

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Relational query builder

Query trace relationships, not records

Understand complex service interactions by filtering spans based on their exact structural placement and trace hierarchies. Pinpoint entry-point traffic or isolate root causes instantly with zero complex syntax required.

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Platform

Scalable observability for your systems

In-stream span intelligence

Continuously analyzes incoming Spans to surface latency and error drivers as they emerge without waiting for users to report an incident.

High cardinality without tradeoffs

Preserves the span attributes that matter for root cause across services, endpoints, regions, and versions so you can slice investigations precisely without preplanning.

Index free span search

Enables fast querying of Spans and spans without the overhead of indexing so investigation speed stays high while storage costs stay predictable.

Historical span analysis

Keeps historical Spans accessible for regressions, seasonality, and post incident learning so you can pinpoint when an issue started with confidence.

Platform overview

AI ready at scale

Observability that
was built for AI,
not repackaged for it

Run your agents and teams on the right foundation, so they don't approximate, they know