A cloud engineer must deploy an updated containerized microservice to an existing private Google Kubernetes Engine (GKE) cluster named `private-app-cluster` in zone `us-east4-a`. The cluster control plane is configured with private endpoint access only, and the engineer is operating from an authorized internal management workstation. In what sequence should the engineer execute the operational steps to establish private cluster connectivity, generate local cluster authentication, deploy the application manifest, and verify workload rollout?
- 1Establish a secure network path to the private GKE control plane network (e.g., via an authorized internal VPC connection or IAP SSH tunnel).
- 2Execute `gcloud container clusters get-credentials private-app-cluster --zone us-east4-a --internal-ip` to update the local kubeconfig file.
- 3Execute `kubectl apply -f microservice-deployment.yaml` to submit the workload configuration.
- 4Execute `kubectl rollout status deployment/microservice-app` to monitor pod creation and readiness.
Answer
The correct operational sequence is: 1) Establish a secure network path to the private GKE control plane, 2) Execute `gcloud container clusters get-credentials private-app-cluster --zone us-east4-a --internal-ip`, 3) Execute `kubectl apply -f microservice-deployment.yaml`, and 4) Execute `kubectl rollout status deployment/microservice-app`.
The deployment of workloads to a private GKE cluster follows a logical dependency chain: network connectivity to the private master endpoint must exist first, followed by authentication setup via `gcloud container clusters get-credentials --internal-ip`. Once `kubectl` context is configured, the manifest is submitted with `kubectl apply`, and finally, the rollout state is verified with `kubectl rollout status` to confirm operational readiness.
Step-by-Step Solution
Key Concept
Private GKE Cluster Management and Workload Deployment Workflow