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- 2026年4月9日 10:58
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SKILL.md
来源说明 · 只读预览- name
- kubernetes
- description
- Kubernetes orchestration best practices and patterns
- license
- MIT
- compatibility
- opencode
- metadata
- {"audience":"developers","category":"devops"}
## What I do
- Create Kubernetes manifests (Deployments, Services, ConfigMaps, etc.)
- Configure resources and limits properly
- Implement health checks (liveness, readiness probes)
- Manage secrets and configmaps
- Set up autoscaling (HPA, VPA)
- Configure networking (Ingress, NetworkPolicies)
- Use Helm charts for templating
## When to use me
When creating Kubernetes configurations or deploying to K8s clusters.
## Deployment with Probes
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-server
labels:
app: api-server
version: v1
spec:
replicas: 3
selector:
matchLabels:
app: api-server
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 25%
maxUnavailable: 0
template:
metadata:
labels:
app: api-server
version: v1
spec:
serviceAccountName: api-server
securityContext:
runAsNonRoot: true
runAsUser: 1000
fsGroup: 1000
containers:
- name: api-server
image: registry.example.com/api-server:v1.2.3
ports:
- containerPort: 8080
name: http
envFrom:
- configMapRef:
name: api-config
- secretRef:
name: api-secrets
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
livenessProbe:
httpGet:
path: /health/live
port: 8080
initialDelaySeconds: 10
periodSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /health/ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
failureThreshold: 3
startupProbe:
httpGet:
path: /health/startup
port: 8080
failureThreshold: 30
periodSeconds: 10
---
apiVersion: v1
kind: Service
metadata:
name: api-server
spec:
selector:
app: api-server
ports:
- port: 80
targetPort: 8080
protocol: TCP
name: http
type: ClusterIP
```
## ConfigMap and Secrets
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: api-config
data:
DATABASE_URL: "postgres://..."
REDIS_URL: "redis://..."
LOG_LEVEL: "info"
API_VERSION: "v1"
---
apiVersion: v1
kind: Secret
metadata:
name: api-secrets
type: Opaque
stringData:
DATABASE_PASSWORD: "your-password"
API_KEY: "your-api-key"
```
## Horizontal Pod Autoscaler
```yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: api-server-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: api-server
minReplicas: 3
maxReplicas: 50
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
behavior:
scaleUp:
stabilizationWindowSeconds: 60
policies:
- type: Percent
value: 100
periodSeconds: 60
scaleDown:
stabilizationWindowSeconds: 300
policies:
- type: Percent
value: 10
periodSeconds: 60
```
## Ingress
```yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: api-ingress
annotations:
nginx.ingress.kubernetes.io/ssl-redirect: "true"
nginx.ingress.kubernetes.io/proxy-body-size: "10m"
nginx.ingress.kubernetes.io/proxy-read-timeout: "300"
nginx.ingress.kubernetes.io/proxy-send-timeout: "300"
spec:
ingressClassName: nginx
tls:
- hosts:
- api.example.com
secretName: api-tls
rules:
- host: api.example.com
http:
paths:
- path: /api
pathType: Prefix
backend:
service:
name: api-server
port:
number: 80
```
## Commands
```bash
# Apply and manage
kubectl apply -f manifests/
kubectl rollout status deployment/api-server
kubectl rollout undo deployment/api-server
# Debug
kubectl get pods -l app=api-server
kubectl logs -f deployment/api-server
kubectl describe pod <pod-name>
kubectl exec -it <pod-name> -- /bin/bash
# Scale and update
kubectl scale deployment/api-server --replicas=10
kubectl set image deployment/api-server api-server=registry.example.com/api-server:v1.2.4
```
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