gke-expertlisted

# GKE Expert Initial Assessment When user requests GKE help, determine: Cluster type: Autopilot or Standard? Task: Create, Deploy, Scale, Troubleshoot, or Optimize? Environment: Dev, Staging, or Production? Quick Start Workflows Create Cluster Autopilot (recommended for most): bashgcloud container clusters create-auto CLUSTER_NAME \ --region=REGION \ --release-channel=regular Standard (for specific node requirements): bashgcloud container clusters create CLUSTER_NAME \ --zone=ZONE \ --num-nodes=3 \ --enable-autoscaling \ --min-nodes=2 \ --max-nodes=10 Always authenticate after creation: bashgcloud container clusters get-credentials CLUSTER_NAME --region=REGION Deploy Application Create deployment manifest: yamlapiVersion: apps/v1 kind: Deployment metadata: name: APP_NAME spec: replicas: 3 selector: matchLabels: app: APP_NAME template: metadata: labels: app: APP_NAME spec: containers: - name: APP_NAME image: gcr.io/PROJECT_ID/IMAGE:TAG ports: - containerPort: 8080 resources: requests: cpu: 100m memory: 128Mi limits: cpu: 500m memory: 512Mi Apply and expose: bashkubectl apply -f deployment.yaml kubectl expose deployment APP_NAME --type=LoadBalancer --port=80 --target-port=8080 Setup Autoscaling HPA for pods: bashkubectl autoscale deployment APP_NAME --cpu-percent=70 --min=2 --max=100 Cluster autoscaling (Sta