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When debugging microservices latency, analyzing cross-service request flows, or implementing observability for distributed systems.
Engineers gain request-flow visibility, identify bottlenecks and error propagation, and reduce latency with production-grade distributed tracing.
Use Cases
A platform team runs a microservices stack where a checkout request is slow but no single service looks guilty. They invoke distributed-tracing to instrument services with Jaeger/Tempo, propagate context, and sample 5% of traffic. The resulting traces reveal a hidden N+1 call chain between order and inventory, letting them fix the bottleneck and cut p99 latency by 40%.
An SRE onboarding a new service must add observability before launch. Using distributed-tracing, they follow the style guide for span naming, baggage propagation, and trace-id correlated logs, then wire exporters to Tempo. The team gets standardized traces that plug into existing Grafana dashboards and SLO alerts from day one.
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