A Cloud Engineer is tasked with deploying a microservice workload manifest to a newly created regional GKE Autopilot cluster named `analytics-prod-cluster` located in the `europe-west1` region. Which sequence of steps correctly describes the process of establishing cluster credentials, verifying cluster connectivity, deploying the workload manifest, and confirming the rollout status?
- 1Fetch cluster endpoint and credentials by running `gcloud container clusters get-credentials analytics-prod-cluster --region europe-west1` to configure local `kubeconfig` context.
- 2Verify API server communication and cluster node status by executing `kubectl get nodes`.
- 3Apply the workload configuration manifest to the cluster using `kubectl apply -f analytics-deployment.yaml`.
- 4Verify that all workload pods have been successfully scheduled and initialized by running `kubectl rollout status deployment/analytics-service`.
Answer
The correct operational order is: 1) Fetch cluster credentials using `gcloud container clusters get-credentials analytics-prod-cluster --region europe-west1`, 2) Verify cluster node availability using `kubectl get nodes`, 3) Apply the deployment manifest using `kubectl apply -f analytics-deployment.yaml`, and 4) Monitor rollout completion using `kubectl rollout status deployment/analytics-service`.
Deploying workloads to a GKE cluster follows a logical lifecycle: first, authentication credentials and cluster endpoint details must be written to the local `kubeconfig` file using `gcloud container clusters get-credentials`. Second, cluster readiness is verified using `kubectl get nodes`. Third, the workload manifest is submitted using `kubectl apply -f`. Finally, workload instantiation is verified using `kubectl rollout status`.
Step-by-Step Solution
Key Concept
GKE Cluster Credential Fetching and Workload Deployment Workflow