
: To output traces to the console during development.For the example services, we have used the following packages: NET SDK that makes integration straightforward. Several libraries complement the OpenTelemetry. Step 1: Add All of the Necessary Packages For instrumenting tracing in ASP.NET Core, we use. NET OpenTelemetry implementation that makes integration straightforward.
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Then it’s time to read on and find out how to see the traces in a Jaeger UI. Send a GET request to If you get a 200 back, it worked. This triggers a Docker build for both ASP.NET services and a docker-compose-up, which runs both services and our OpenTelemetry collector. The ASP.NET services and the OpenTelemetry collector run in Docker containers, which we build and run with either start.bat or start.sh. The collector then sends the spans to a Logz.io backend, where the request trace is constructed from the spans and visualized in the UI. Both services respond with an HTTP status code 200, assuming we have no unexpected failures.Īfter instrumentation, Service A will emit a span when invoked, and similarly Service B will emit a span when Service A calls it.Īn OpenTelemetry Collector receives spans from both services, which we run ourselves locally. When Service A receives a ping, it pings Service B. There’s Service A, which listens on port 5001 on a /ping endpoint, and Service B, which listens on port 6001 on a /ping endpoint. In our example, there are two ASP.NET Core Web APIs. The complete example code used here is available on GitHub, if you wish to run it yourself.


Exporting traces from the collector to a tracing backend (in our case, to Logz.io’s managed Jaeger service).Exporting traces using the OpenTelemetry Protocol to a local OpenTelemetry Collector instance.

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