Question

Difficulty: MediumDeploying and Managing Google Kubernetes Engine (GKE) Clusters and Workloads

A cloud engineer needs to deploy a containerized web application to a Google Kubernetes Engine (GKE) cluster from a local management workstation. In what order should the engineer execute the following commands to authenticate, configure cluster access, deploy the workload, and verify the deployment status?

  1. 1Authenticate the local environment using `gcloud auth login`.
  2. 2Fetch cluster credentials and update kubeconfig using `gcloud container clusters get-credentials app-cluster --zone us-central1-a`.
  3. 3Deploy the application manifest using `kubectl apply -f deployment.yaml`.
  4. 4Monitor the workload deployment rollout using `kubectl rollout status deployment/web-app`.

Answer

The correct sequence of steps is: 1) Authenticate using `gcloud auth login`, 2) Update kubeconfig context using `gcloud container clusters get-credentials`, 3) Create resources using `kubectl apply -f deployment.yaml`, and 4) Confirm pod readiness using `kubectl rollout status deployment/web-app`.
The correct operational lifecycle requires authenticating identity first (`gcloud auth login`), retrieving the target GKE cluster endpoint and credentials to populate kubeconfig (`gcloud container clusters get-credentials`), applying the Kubernetes manifest (`kubectl apply`), and finally validating that the pods have successfully rolled out (`kubectl rollout status`).

Step-by-Step Solution

1
Authenticate user credentials with Google Cloud.
User session is authenticated for gcloud CLI operations.
Accessing Google Cloud APIs and retrieving cluster metadata requires prior authentication.
2
Generate cluster entry in kubeconfig using `gcloud container clusters get-credentials`.
Local kubectl client is configured with the GKE cluster control plane endpoint and auth token.
kubectl requires local kubeconfig context to communicate with the GKE control plane.
3
Submit workload manifest using `kubectl apply -f deployment.yaml`.
Deployment object and underlying Pod specifications are registered with the Kubernetes API server.
Workload specifications must be applied to the targeted cluster.
4
Verify deployment status using `kubectl rollout status deployment/web-app`.
Confirmation that all requested pod replicas are running and ready.
Verification ensures the newly applied deployment specification has successfully completed its rollout.

Key Concept

GKE Cluster Credential Retrieval and Workload Deployment Lifecycle
Estimated Time:1m 30s
Rate this question