Best distributed-tracing tools

Automatically instrument supported workloads with OpenTelemetry and route telemetry to a destination you choose.

Capture application errors, stability signals, performance issues, and traces across mobile and web apps.

Bring logs, metrics, traces, and infrastructure monitoring into one observability workspace.

Explore traces and wide events from instrumented applications to investigate production behavior.

Trace application transactions and service topology with agents that profile supported application runtimes.

Collect and search distributed traces to locate latency and dependency problems across services.

Store and query distributed traces with a scalable tracing backend.

Self-hosted full-stack observability with eBPF telemetry and service-level insights.

Managed observability for logs, traces, metrics, and events.

Collect distributed traces and service health data to investigate application performance.

Trace server-side requests to find slow methods, database queries, and external service calls.

Send infrastructure metrics, logs, traces, and synthetic checks to a hosted observability workspace.

Discover supported services and connect application, infrastructure, and user-experience signals for investigation.

Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.

Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.

AI-guided cloud-native observability for telemetry, service health, and cost control.

Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.

Trace AWS and serverless applications with transaction context and related troubleshooting signals.

Collect application logs, traces, and metrics, then explore the signals together in one hosted telemetry workspace.

Trace backend requests and inspect the database calls, external dependencies, and errors that affect their performance.

Correlate application traces, metrics, logs, and service context to investigate performance.

Collect and inspect distributed traces from instrumented applications with a self-managed tracing platform.

Instrument applications with agents or OpenTelemetry, then inspect performance, errors, traces, and service context.

Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.