Deploy Example Microservices

This workshop has been deprecated and archived. The new Amazon EKS Workshop is now available at

We now have the foundation in place to deploy microservices, which are instrumented with X-Ray SDKs, to the EKS cluster.

In this step, we are going to deploy example front-end and back-end microservices to the cluster. The example services are already instrumented using the X-Ray SDK for Go. Currently, X-Ray has SDKs for Go, Python, Node.js, Ruby, .NET and Java.

kubectl apply -f

kubectl apply -f

To review the status of the deployments, you can run:

kubectl describe deployments x-ray-sample-front-k8s x-ray-sample-back-k8s

For the status of the services, run the following command:

kubectl describe services x-ray-sample-front-k8s x-ray-sample-back-k8s

Once the front-end service is deployed, run the following command to get the Elastic Load Balancer (ELB) endpoint and open it in a browser.

kubectl get service x-ray-sample-front-k8s -o wide

After your ELB is deployed and available, open up the endpoint returned by the previous command in your browser and allow it to remain open. The front-end application makes a new request to the /api endpoint once per second, which in turn calls the back-end service. The JSON document displayed in the browser is the result of the request made to the back-end service.

This service was configured with a LoadBalancer so, an AWS Elastic Load Balancer (ELB) is launched by Kubernetes for the service. The EXTERNAL-IP column contains a value that ends with “” - the full value is the DNS address.

When the front-end service is first deployed, it can take up to several minutes for the ELB to be created and DNS updated.