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Deploy applications to Kubernetes — Deployments, Services, Ingress, ConfigMaps, Secrets, health checks, and scaling.
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Execute a user flow step-by-step in Cursor's built-in browser while documenting each action, then emit a Playwright test that replays the same flow using stable selectors derived from the accessibility tree.
Baseado na classificação ocupacional SOC
| name | kubernetes-deploying |
| description | Deploy applications to Kubernetes — Deployments, Services, Ingress, ConfigMaps, Secrets, health checks, and scaling. |
| user-invocable | true |
Deploy and manage applications on Kubernetes.
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
labels:
app: my-app
spec:
replicas: 3
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-app
image: my-registry/my-app:v1.2.3
ports:
- containerPort: 3000
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
livenessProbe:
httpGet:
path: /healthz
port: 3000
initialDelaySeconds: 10
periodSeconds: 30
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 10
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: my-app-secrets
key: database-url
- name: NODE_ENV
value: production
apiVersion: v1
kind: Service
metadata:
name: my-app
spec:
selector:
app: my-app
ports:
- port: 80
targetPort: 3000
type: ClusterIP
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: my-app
annotations:
cert-manager.io/cluster-issuer: letsencrypt-prod
spec:
tls:
- hosts:
- app.example.com
secretName: my-app-tls
rules:
- host: app.example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: my-app
port:
number: 80
apiVersion: v1
kind: ConfigMap
metadata:
name: my-app-config
data:
LOG_LEVEL: info
FEATURE_FLAGS: '{"darkMode": true}'
---
apiVersion: v1
kind: Secret
metadata:
name: my-app-secrets
type: Opaque
stringData:
database-url: postgresql://user:pass@host:5432/db
api-key: sk-abc123
# Apply manifests
kubectl apply -f k8s/
# Check deployment status
kubectl rollout status deployment/my-app
# View pods
kubectl get pods -l app=my-app
# View logs
kubectl logs -f deployment/my-app
# Execute into a pod
kubectl exec -it <pod-name> -- /bin/sh
# Scale
kubectl scale deployment/my-app --replicas=5
# Rollback
kubectl rollout undo deployment/my-app
# Port forward for local debugging
kubectl port-forward svc/my-app 3000:80
| Strategy | How | When |
|---|---|---|
| Rolling update (default) | Replace pods one at a time | Most deployments |
| Recreate | Kill all old pods, start new ones | When you can't run two versions simultaneously |
| Blue/green | Run two full environments, switch traffic | Need instant rollback |
| Canary | Route small % of traffic to new version | High-risk changes |
Rolling update config:
spec:
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
Always set both:
Common probe types:
httpGet: Hit an HTTP endpoint (most common)exec: Run a command in the containertcpSocket: Check if a port is openapiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: my-app
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: my-app
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
dev, staging, prod):latest in productionPodDisruptionBudget for high-availability workloads