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
-
Clone the repository:
git clone <repository-url> cd otel-test
-
Create the cluster with kind:
cd k8s ./create-cluster.sh cd ..
-
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
-
Build and de 5F05 ploy 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/
-
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.