Deploying a workload and interacting with your cluster

If you recall from the last chapter, we used the Guestbook example from the GCP GKE examples' GitHub repository.

First, we are going to deploy the workload before we then explore the web-based AWS console. Let's make a start on our Guestbook deployment.

Deploying the workload

Even though we are our cluster is running on AWS using Amazon EKS, we are going to be using the same set of YAML Ain't Markup Language (YAML) files we used to launch our workload in GKE. Follow these next steps:

1. As before, our first step is launching the Redis Leader deployment and service using the following commands:

   $ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/kubernetes-engine-samples/master/guestbook/redis-leader-deployment.yaml
   $ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/kubernetes-engine-samples/master/guestbook/redis-leader-service.yaml

2. Once the Redis Leader...