Kubernetes清单编写Skill kubernetes-manifests

这个技能涉及编写和管理Kubernetes清单文件,用于容器编排、应用程序部署和资源管理。它包括常见资源类型如Deployment、Service、ConfigMap的配置,以及最佳实践如资源请求和限制、存活性和就绪性探针设置、标签管理。关键词:Kubernetes, 清单, 容器编排, YAML, 部署, 配置管理, 云原生。

Docker/K8s 0 次安装 0 次浏览 更新于 3/25/2026

name: kubernetes-manifests user-invocable: false description: 用于编写和部署Kubernetes清单以进行容器编排。 allowed-tools: []

Kubernetes 清单

理解和编写Kubernetes清单文件。

基本结构

apiVersion: v1
kind: Pod
metadata:
  name: my-app
  namespace: default
  labels:
    app: my-app
spec:
  containers:
  - name: app
    image: nginx:latest
    ports:
    - containerPort: 80

常见资源类型

Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: my-app
  template:
    metadata:
      labels:
        app: my-app
    spec:
      containers:
      - name: app
        image: myapp:1.0.0
        resources:
          requests:
            memory: "64Mi"
            cpu: "250m"
          limits:
            memory: "128Mi"
            cpu: "500m"

Service

apiVersion: v1
kind: Service
metadata:
  name: my-app-service
spec:
  selector:
    app: my-app
  ports:
  - protocol: TCP
    port: 80
    targetPort: 8080
  type: LoadBalancer

ConfigMap

apiVersion: v1
kind: ConfigMap
metadata:
  name: app-config
data:
  database.url: "postgres://db:5432"
  log.level: "info"

Secret

apiVersion: v1
kind: Secret
metadata:
  name: app-secrets
type: Opaque
data:
  password: cGFzc3dvcmQxMjM=  # base64编码

最佳实践

资源请求和限制

始终定义资源请求和限制:

resources:
  requests:
    memory: "64Mi"
    cpu: "250m"
  limits:
    memory: "128Mi"
    cpu: "500m"

存活性和就绪性探针

livenessProbe:
  httpGet:
    path: /healthz
    port: 8080
  initialDelaySeconds: 30
  periodSeconds: 10

readinessProbe:
  httpGet:
    path: /ready
    port: 8080
  initialDelaySeconds: 5
  periodSeconds: 5

标签和选择器

使用一致的标签:

metadata:
  labels:
    app: my-app
    version: v1
    environment: production

验证

# 验证清单语法
kubectl apply --dry-run=client -f manifest.yaml

# 使用kubeconform验证
kubeconform manifest.yaml

# 针对实时集群验证
kubectl apply --dry-run=server -f manifest.yaml