This repository contains a sample HelloWorld app scenario that show how we can implement tracing. Here, we are using OpenTelemetry sdk to instrument our code and are exporting our traces to OpenTelemetry agent and collector. beside we are using Jaeger as the backend of our traces and we are able to check the results in the Jaeger dashboard.

Please check out this article to find out more about both tracing and also this sample repository. https://medium.com/@iqfarhad/distributed-tracing-with-opentelemetry-and-jaeger-e21e53b5c24e

This demo uses docker-compose and by default runs against the iqfarhad/medium-poc_tracing:latest image which is the image built based on the available code. To run the demo, you need to clone this repo and then run:

docker-compose up -d

if everything goes fine, you should be able to see the Jaeger dashboard by visiting this endpoint: http://localhost:16686/. At this point still you cannot see any traces instead of the default jaeger service.

To actually see the traces from this app, you need to run the command below or simply visit this page in your browser http://localhost:8080/sayHello/trace:

curl http://localhost:8080/sayHello/trace

This will produce more traces and by refreshing the jaeger dashboard, nnow you should be able to see those as well.

You can also build the image locally and test the program. to do so, you need to edit the docker-compose file and uncomment the build: ./. then you can run docker-compose build and use that image to run this application.

More over, if you check the docker-compose file, I'm passing a env variable TRACING_OPTION which by default, I set it as otel-collector. This means that our traces are gonna get exported to the otel agent. you can set this variable to, jaeger-collector and then the application will export traces straightly to the Jaeger agent. (you can set it to export to the Jaeger collector as well, the code is available in lib/tracing/init.go )

In this scenario we have 3 main module, Main server, Formatter, Queryyer*;

1. Main Server is our first endpoint which listens to http://localhost:8080/sayHello/ and we can pass any name as a parameter to this api like for example: http://localhost:8080/sayHello/trace.

2. Queryyer is the second end point which our main server will call after receiving a request. The main task of Queryyer is to query the database and return the information related to the person name, if exist. The name of Queryyer is based on Formatter :).

3. The third service is Formatter which again will be called by the main server, and basically it put the retrieved information from the queryyer into a specific format; title-name-description.

We have also two other folders, Lib and Client: Lib: contains general initializer for OpenTelemetry with Jaeger endpoint Client: by running the client main.go we are simulating one single request to the server, this is equivalent of running the command, curl http://localhost:8080/sayHello/trace. Moreover I put the equivalent of the current setup K8s file in the k8s folder. In there you can find out to set up agent and collector in case of kubernetes.

#Contribution Any kind of contribution highly apperciated in advance. You can simply just create a PR or an issue and we will try to improve or solve that togheter. Thanks in advance!