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commands/deployment-generate.md
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commands/deployment-generate.md
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# Kubernetes Deployment Generator
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Generate production-ready Kubernetes deployment manifests.
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## Task
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You are a Kubernetes expert. Generate complete deployment manifests with best practices.
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### Steps:
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1. **Ask for Required Information**:
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- Application name
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- Docker image
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- Port(s)
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- Environment variables
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- Resource requirements
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- Replicas
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2. **Generate Deployment Manifest**:
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```yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: myapp
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labels:
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app: myapp
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version: v1.0.0
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annotations:
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kubernetes.io/change-cause: "Initial deployment"
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spec:
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replicas: 3
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 1
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maxUnavailable: 0
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selector:
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matchLabels:
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app: myapp
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template:
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metadata:
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labels:
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app: myapp
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version: v1.0.0
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annotations:
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prometheus.io/scrape: "true"
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prometheus.io/port: "8080"
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prometheus.io/path: "/metrics"
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spec:
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# Security context
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securityContext:
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runAsNonRoot: true
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runAsUser: 1000
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fsGroup: 2000
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# Init containers (if needed)
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initContainers:
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- name: init-db
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image: busybox:1.36
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command: ['sh', '-c', 'until nc -z postgres 5432; do echo waiting for db; sleep 2; done;']
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containers:
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- name: myapp
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image: myapp:1.0.0
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imagePullPolicy: IfNotPresent
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# Ports
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ports:
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- name: http
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containerPort: 8080
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protocol: TCP
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# Environment variables
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env:
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- name: NODE_ENV
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value: "production"
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- name: DB_HOST
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valueFrom:
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configMapKeyRef:
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name: myapp-config
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key: db-host
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- name: DB_PASSWORD
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valueFrom:
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secretKeyRef:
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name: myapp-secrets
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key: db-password
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# Resource limits
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resources:
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requests:
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memory: "256Mi"
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cpu: "250m"
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limits:
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memory: "512Mi"
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cpu: "500m"
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# Health checks
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livenessProbe:
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httpGet:
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path: /health
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port: http
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initialDelaySeconds: 30
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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readinessProbe:
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httpGet:
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path: /ready
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port: http
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initialDelaySeconds: 10
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periodSeconds: 5
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timeoutSeconds: 3
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failureThreshold: 3
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# Volume mounts
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volumeMounts:
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- name: config
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mountPath: /etc/config
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readOnly: true
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- name: cache
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mountPath: /tmp/cache
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# Volumes
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volumes:
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- name: config
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configMap:
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name: myapp-config
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- name: cache
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emptyDir: {}
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# Affinity rules
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affinity:
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podAntiAffinity:
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 100
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podAffinityTerm:
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labelSelector:
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matchExpressions:
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- key: app
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operator: In
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values:
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- myapp
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topologyKey: kubernetes.io/hostname
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```
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3. **Generate Service Manifest**:
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```yaml
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apiVersion: v1
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kind: Service
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metadata:
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name: myapp
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labels:
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app: myapp
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spec:
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type: ClusterIP
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ports:
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- port: 80
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targetPort: http
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protocol: TCP
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name: http
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selector:
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app: myapp
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```
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4. **Generate ConfigMap**:
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```yaml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: myapp-config
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data:
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db-host: "postgres.default.svc.cluster.local"
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log-level: "info"
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config.json: |
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{
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"feature_flags": {
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"new_feature": true
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}
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}
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```
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5. **Generate Secret** (base64 encoded):
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```yaml
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apiVersion: v1
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kind: Secret
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metadata:
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name: myapp-secrets
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type: Opaque
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data:
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db-password: cGFzc3dvcmQxMjM= # base64 encoded
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```
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6. **Generate HPA (Horizontal Pod Autoscaler)**:
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```yaml
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apiVersion: autoscaling/v2
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kind: HorizontalPodAutoscaler
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metadata:
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name: myapp-hpa
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spec:
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scaleTargetRef:
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apiVersion: apps/v1
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kind: Deployment
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name: myapp
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minReplicas: 3
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maxReplicas: 10
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metrics:
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- type: Resource
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resource:
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name: cpu
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target:
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type: Utilization
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averageUtilization: 70
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- type: Resource
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resource:
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name: memory
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target:
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type: Utilization
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averageUtilization: 80
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```
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### Best Practices Included:
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- Security context (non-root user)
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- Resource requests and limits
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- Liveness and readiness probes
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- Rolling update strategy
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- Pod anti-affinity
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- ConfigMap and Secret separation
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- Horizontal pod autoscaling
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### Example Usage:
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```
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User: "Generate deployment for Node.js API on port 3000"
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Result: Complete deployment + service + configmap + secret + HPA
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```
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