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Technique for tracking and correlating requests across services to make performance issues and root causes in distributed systems visible.
Distributed tracing is a technique to record and correlate requests across services to analyze performance and diagnose failures in distributed systems. It captures spans and trace context across process and network boundaries, enabling root-cause analysis, latency breakdowns, and dependency mapping. Widely used for observability and operational debugging.
Mean duration of a distributed request measured via traces.
Percentage of traces containing errors or exceptions.
Average number of spans in a trace as a granularity indicator.
Use of Jaeger to collect, visualize, and analyze traces in a microservice environment.
Use libraries to automatically instrument HTTP requests and propagate trace context.
Store complete request traces to follow a failure path across multiple services.
Instrument application libraries with OpenTelemetry and propagate trace context.
Set up OpenTelemetry Collector and configure exporters.
Tune trace sampling, retention, and storage layer to SLAs and costs.