Distributed Tracing with OpenTelemetry
Learn how OpenTelemetry works end to end: instrumenting services, propagating context, running the Collector, sampling traces, and visualizing them in Jaeger or Tempo.
Distributed Tracing with OpenTelemetry
Learn how OpenTelemetry works end to end: instrumenting services, propagating context, running the Collector, sampling traces, and visualizing them in Jaeger or Tempo.
Why do you need distributed tracing in a microservices system?
When one user request touches five services, logs alone cannot tell you which hop was slow or which one returned a 500. A trace stitches all the hops into a single timeline using a shared trace ID, so you can see exactly where latency or errors appear. Without tracing you end up grepping logs across services trying to correlate timestamps.
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