Everything your stack signals, correlated.
Three signal types. One causality engine. Built for multi-cloud Kubernetes environments where a single slow service can cascade across your entire platform.
Built around root cause, not exploration
Most observability tools give you all the data and leave the detective work to you. Logpathio draws the causal connections — across logs, traces, and metrics — before you ask.
Unified Signal Timeline
Logs, traces, and metrics rendered on one temporal axis. Scroll to any point in time and see what all three signal types were doing at that moment — no tab-switching, no manual time-range sync.
Cascade Root Cause Engine
Correlates events by trace ID, timestamp cluster, and service topology. When payment-svc spikes and auth-svc follows 60ms later, the engine identifies the causal chain — not just the coincidence.
OpenTelemetry Native
Zero-config OTEL Collector support. Route your existing OpenTelemetry pipeline to Logpathio with a single exporter config change. No proprietary agent installation. No re-instrumentation. Your existing spans work.
Instant Correlation Alerts
PagerDuty and Slack webhooks fire on correlation events — not just threshold breaches. Get paged when Logpathio identifies a cascade root cause, with the correlation card already populated in the notification.
One query language. All three signal types.
Query across logs, traces, and metrics in a single interface — no tab-switching, no copy-pasting trace IDs between tools. Logpathio's query syntax is close enough to Prometheus PromQL and Datadog's log syntax to feel immediately familiar.
View Query API Docsservice=payment-svc AND error=true
| correlate traces within 500ms
| group by downstream_serviceHow data flows through Logpathio
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