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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.
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It correlates one request across services so latency and failure causes can be investigated.
It responds to the diagnostic limits of service-oriented applications, where one log entry rarely shows the full request path.
A trace identifier follows the request; each service records a timed span and passes context onward. The assembled tree reveals slow or failed steps.
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Practice context is a distinct part of this topic and guides its practical use.
It supports debugging and capacity decisions in distributed workloads. Instrumentation, privacy, sampling, and overhead limit coverage.
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