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Application Performance Monitoring

Give every developer the visibility they need to detect and resolve performance issues—without sampling limits, retention constraints, or per-seat pricing that forces you to gate-keep access to critical data.

OpenTelemetry Native

No vendor lock-in

Adopt open standard-based instrumentation and collection of telemetry data with OpenTelemetry

Automatic Instrumentation

Automatically instrument your application code using OTel libraries or use OTel SDKs and APIs to instrument code

Service Discovery and Mapping

Unified Service Discovery

Automatically discover all microservices and databases from OpenTelemetry data—no more blind spots or manual service catalogs to maintain.

Consolidated Service Maps

Visualize your entire system architecture in one place instead of switching between multiple monitoring tools to understand dependencies.

Democratized Monitoring

Give every developer access to Golden Signals monitoring without per-seat pricing that forces you to limit tool access to just a few experts.

Ignore Me for Banner

From the Blog

Troubleshooting database performance with Observe APM

Trace Search and Inspection

Full-Fidelity Investigation

Analyze every slow transaction with 13 months of unsampled trace data—no more missing the critical traces that explain production issues.

Cross-Data Correlation

Pivot seamlessly from traces to logs, metrics, and infrastructure data without the manual "stitching" that wastes hours during incidents.

Real-Time Root Cause

Drill down from service-level alerts to individual traces and correlated logs in seconds, not the hours it takes with fragmented tooling.

Deployment Tracking

Release Impact Assessment

Instantly correlate deployment markers with performance changes to quickly identify whether new releases introduced regressions.

Concurrent Deployment Monitoring

Compare RED metrics across concurrent deployment versions—including canary releases—to quickly identify performance regressions in real-time.

Track Errors and Exceptions

Automatically surface new error types introduced by deployments so your entire engineering team can identify issues without relying on expert troubleshooters.