A cloud engineer needs to deploy a web application to an existing Google Kubernetes Engine (GKE) cluster and verify its operational readiness. Arrange the following steps in the correct chronological order from first to last.
- 1Authenticate and update the local kubeconfig file with GKE cluster credentials by running `gcloud container clusters get-credentials`.
- 2Submit the application deployment definition to the Kubernetes API server using `kubectl apply -f deployment.yaml`.
- 3Monitor the deployment rollout progress until all container replicas are successfully provisioned using `kubectl rollout status deployment/web-app`.
- 4Query detailed runtime information and assigned node IP addresses for the active pods using `kubectl get pods -o wide`.
Answer
The correct order of operations is: 1) Authenticate and update local kubeconfig credentials using `gcloud container clusters get-credentials`, 2) Submit the deployment manifest using `kubectl apply -f deployment.yaml`, 3) Monitor the deployment rollout status using `kubectl rollout status deployment/web-app`, and 4) Inspect pod details using `kubectl get pods -o wide`.
Deploying a workload to a GKE cluster follows a logical workflow: first, establish cluster authentication and API endpoints locally via `gcloud container clusters get-credentials`; second, create the workload objects by applying the YAML manifest with `kubectl apply`; third, wait for the deployment controller to complete replica creation with `kubectl rollout status`; and fourth, verify active pod IPs and host node assignments with `kubectl get pods -o wide`.
Step-by-Step Solution
Key Concept
GKE Workload Deployment Procedure and Verification Sequence
Estimated Time:1m 30s