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From raw spans to guided investigations
Span analytics
Coralogix transforms raw spans into high-signal investigations with velocity. Stop manual context switching with a unified experience that connects spans, logs and metrics to prove root cause of errors.
The most actionable tracing stack on the market
Instant investigation
highlights
Start every investigation with signal by automatically surfacing latency and error drivers, to instantly identify the services or regions responsible.
High-performance
trend analysis
Analyze Span patterns and regressions across large time ranges to compare today’s spikes against historical baselines without lag or timeouts.
Seamless telemetry
correlation
Centralize investigations by natively linking spans to relevant logs, metrics, 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.
Highlights for traces
Find the driver, fix the break
Surface drivers behind latency and errors across services, endpoints, and regions. Compare time periods to start with signal, every time.
Trace drilldown
Navigate from overview to insight
Drill down from high-level architecture into spans to investigate multiple perspectives. Debugging with full trace visibility and zero context loss ensures a faster resolution.
Relational query builder
Query simply
Understand complex service interactions by querying spans based on their relationships and general general metadata and pinpoint root causes with no 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.
