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Emojivoto Kustomization

Kustomization of a microservice application that allows users to vote for their favorite emoji, and tracks votes received on a leaderboard.

The application is composed of the following 3 services:

  • web: Web frontend and REST API
  • emoji: gRPC API for finding and listing emoji
  • voting: gRPC API for voting and leaderboard

vote-bot deployment is responsible for generating some traffic. It votes on emoji randomly as follows:

  • It votes for 🍩 15% of the time.
  • When not voting for 🍩, it picks an emoji at random.

Environment

  • A Kubernetes cluster
  • Jaeger backend installation
  • Linkerd (stable-2.10.2) and Linkerd Jaeger plugin installation
  • Ingress controller installation with tracing enabled and injected to Linkerd

Create a local cluster with one node and using K3d:

k3d cluster create mycluster --agents 1 -p "80:80@loadbalancer" -p "8000:30080@agent[0]" --k3s-server-arg "--no-deploy=traefik"

We expose host port 80 and forward to port 80 of the service load balancer in our K3d cluster. Also, we expose host port 8000 and forward to node port 30080 of our K3d cluster. We will later use these ports to access web UI and Jaeger UI respectively.

Install Linkerd:

LINKERD2_VERSION=stable-2.10.2 curl -sL https://run.linkerd.io/install | sh
linkerd install | kubectl apply -f -

Install Linkerd visualization plugin:

linkerd viz install | kubectl apply -f -

Check Linkerd installation:

linkerd check

Install Jaeger backend:

kustomize build jaeger | kubectl apply -f -

Install Linkerd Jaeger plugin and configure Linkerd Opencensus collector to send spans to our Jaeger backend:

linkerd jaeger install --set collector.jaegerAddr='http://jaeger-collector.tracing:14268/api/traces' | kubectl apply -f -

Install Traefik, an ingress controller, with tracing enabled and injected to Linkerd:

kustomize build ingress | kubectl apply -f -

Build with tracing enabled

The following command deploys all services with tracing enabled and injects Linkerd proxies:

kustomize build emojivoto/tracing | kubectl apply -f -

# or

kubectl kustomize emojivoto/tracing | kubectl apply -f -

# or

kubectl apply -k emojivoto/tracing

Have Fun With UI

Clean Up

Delete the cluster:

k3d cluster delete mycluster