This is a simple Flask application that allows you test Open Telemetry capabilites.

This projects consits of following components:

• Frontend service (Flask)
• Backend service (Flask)

❗ Frontend and Backend services are instrumented to send traces to OTel collector via Python opentelemetry-instrument library (auto-instrumentation). Please check Dockerfile to see exact command used for instrumentation.

• MySQL database
• OpenTelemetry collector
• Jaeger
• Zipkin
• Optionally any commercial backend of your choice (e.g. AppDynamics)
  

Please see below steps to quickly run this test setup on Minikube on your local machine:

1. Building Docker images.

docker build -t flask-app-otel-frontend ./frontend

docker build -t flask-app-otel-backend ./backend

2. Loading images to Minikube.

minikube image load flask-app-otel-frontend:latest

minikube image load flask-app-otel-backend:latest

3. Deploying containers to Kubernetes and exposing frontend service.

kubectl create -f ./k8s/flask-app-otel.yaml

kubectl create -f ./k8s/mysql.yaml

minikube service flask-app-otel-frontend-svc --url

4. Deploying OTel collector.

kubectl create -f ./k8s/otel-collector.yaml

5. Deploying Jaeger and exposing service.

kubectl create -f ./k8s/cert-manager.yaml

kubectl create namespace observability

kubectl create -f ./k8s/jaeger-operator.yaml -n observability

kubectl create -f ./k8s/jaeger.yaml

minikube service jaeger-query --url

6. Deploying Zipkin and exposing service.

kubectl create -f ./k8s/zipkin.yaml

minikube service zipkin-svc --url