This project demonstrates how to set up OpenTelemetry with a Node.js application running on Kubernetes. It includes configurations for Grafana, Prometheus, Jaeger, and the OpenTelemetry Collector to visualize traces, metrics, and logs.

otel-test
├── k8s
├── api

• Kubernetes cluster (kind)
• kubectl installed and configured
• Docker installed

1. Clone the repository:

   git clone <repository-url>
   cd otel-test

2. Create the cluster with kind:

   cd k8s
   ./create-cluster.sh
   cd ..

3. Deploy the OpenTelemetry components:

   Apply the Kubernetes configurations for Grafana, Prometheus, Tempo, and the OpenTelemetry Collector:

   kubectl apply -f k8s/namespaces.yaml
   ./k8s/install.sh

4. Build and deploy the Node.js application:

   Build the Docker image:

   docker build -t otel-test-app .

   Deploy the application to Kubernetes (you may need to create a deployment.yaml for your app):

   kubectl apply -f k8s/api/

5. Access Grafana:

   Port-forward the Grafana service to access it on your local machine:

   kubectl port-forward -n monitoring svc/grafana 8080:80

   Then access Grafana in your browser at: http://localhost:8080

   Default login credentials are typically admin/admin.

   Open your browser and navigate to the Grafana URL to visualize metrics and traces.

• The application will automatically send traces and metrics to the OpenTelemetry Collector.
• Grafana will display the collected metrics and traces.
• Jaeger can be used to visualize distributed traces.

Feel free to submit issues or pull requests for improvements or additional features.

This project is licensed under the MIT License.