Deploying and Scaling Applications on Google Kubernetes Engine

Table of Contents

1. Challenge

   Deploy GKE Cluster in Google Cloud

   Once the environment is ready, login to the cloud instance. Peform the following:

   • Using the provided Compute Instance, use gcloud to create a GKE cluster.
   • Make sure GKE has the following settings:
     1. Create 1 node
     2. A machine type of e2-standard-2
     3. 30GB of diskspace
     4. Enable IP alias
     5. Use the regular release channel
     6. Make sure the current version is 1.33
   • Check and make sure that kubectl is working with the cluseter by list the nodes.
2. Challenge

   Deploy a Containerized Workload to GKE and Make It Accessible

   Once the GKE cluster ready and assessable, deploy a containerized workload:

   • Clone the Git repository.
   • Use the manifers files to create the deployment and service.
   • Verify application is working by find the External IP address and check it in the browser.
   • Verify there are no errors in the logs.
3. Challenge

   Manage the Containerized Workload

   Now it's time to make some changes to the deployment: -Scale deployment to 3 replicas.

   • Verify that the deployment has been update by using kubectl to list the pod in the deployment.
   • Use rollout to redeploy the pods in the deployment without making changes to the manifest file.