From raw spans to guided investigations
Explore for Tracing
Coralogix transforms raw spans into high-signal investigations fast. Eliminate manual context switching with a unified experience that connects spans, logs, and metrics to confirm root cause without leaving the investigation.
The most actionable tracing stack on the market
Instant investigation
highlights
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
trend analysis
Group high-cardinality spans inside the Overview tab to analyze patterns and compare spikes against historical baselines, lag-free, across large time ranges.
Seamless telemetry
correlation
Centralize investigations by natively linking spans to relevant logs, Infrastructure metrics, Events, AI sessions, and profiling – preserving context without tab switching.
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.
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.
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.
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.
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.
Scalable observability for your systems
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.
