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Kubernetes 部署

本指南介绍如何在 Kubernetes 集群中部署应用。

前置要求

  • Kubernetes 1.20 或更高版本
  • kubectl 命令行工具
  • 访问 Kubernetes 集群的权限

基础部署

Deployment 配置

创建 deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
name: docs-deployment
labels:
app: docs
spec:
replicas: 3
selector:
matchLabels:
app: docs
template:
metadata:
labels:
app: docs
spec:
containers:
- name: docs
image: my-docs:latest
ports:
- containerPort: 3000
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "200m"
livenessProbe:
httpGet:
path: /
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /
port: 3000
initialDelaySeconds: 5
periodSeconds: 5

Service 配置

创建 service.yaml

apiVersion: v1
kind: Service
metadata:
name: docs-service
spec:
selector:
app: docs
ports:
- protocol: TCP
port: 80
targetPort: 3000
type: LoadBalancer

部署应用

# 应用配置
kubectl apply -f deployment.yaml
kubectl apply -f service.yaml

# 查看部署状态
kubectl get deployments
kubectl get pods
kubectl get services

# 查看详细信息
kubectl describe deployment docs-deployment

Ingress 配置

创建 ingress.yaml

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: docs-ingress
annotations:
kubernetes.io/ingress.class: nginx
cert-manager.io/cluster-issuer: letsencrypt-prod
spec:
tls:
- hosts:
- docs.example.com
secretName: docs-tls
rules:
- host: docs.example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: docs-service
port:
number: 80

应用 Ingress:

kubectl apply -f ingress.yaml

ConfigMap 配置

创建 configmap.yaml

apiVersion: v1
kind: ConfigMap
metadata:
name: docs-config
data:
API_URL: "https://api.example.com"
NODE_ENV: "production"

在 Deployment 中使用 ConfigMap:

spec:
containers:
- name: docs
envFrom:
- configMapRef:
name: docs-config

Secret 管理

创建 Secret:

kubectl create secret generic docs-secret \
--from-literal=api-key=your-api-key

在 Deployment 中使用 Secret:

spec:
containers:
- name: docs
env:
- name: API_KEY
valueFrom:
secretKeyRef:
name: docs-secret
key: api-key

水平自动扩缩容

创建 hpa.yaml

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: docs-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: docs-deployment
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80

应用 HPA:

kubectl apply -f hpa.yaml
kubectl get hpa

使用 Helm

创建 Helm Chart

helm create docs-chart

values.yaml 配置

replicaCount: 3

image:
repository: my-docs
tag: latest
pullPolicy: IfNotPresent

service:
type: LoadBalancer
port: 80

ingress:
enabled: true
className: nginx
hosts:
- host: docs.example.com
paths:
- path: /
pathType: Prefix

resources:
limits:
cpu: 200m
memory: 256Mi
requests:
cpu: 100m
memory: 128Mi

autoscaling:
enabled: true
minReplicas: 2
maxReplicas: 10
targetCPUUtilizationPercentage: 70

部署 Helm Chart

# 安装
helm install docs ./docs-chart

# 升级
helm upgrade docs ./docs-chart

# 卸载
helm uninstall docs

# 查看状态
helm status docs

滚动更新

# 更新镜像
kubectl set image deployment/docs-deployment docs=my-docs:v2

# 查看滚动更新状态
kubectl rollout status deployment/docs-deployment

# 回滚到上一个版本
kubectl rollout undo deployment/docs-deployment

# 查看历史版本
kubectl rollout history deployment/docs-deployment

监控和日志

查看日志

# 查看 Pod 日志
kubectl logs -f deployment/docs-deployment

# 查看特定 Pod 日志
kubectl logs -f <pod-name>

# 查看前一个容器的日志
kubectl logs <pod-name> --previous

资源监控

# 查看资源使用情况
kubectl top nodes
kubectl top pods

# 查看 Pod 详情
kubectl describe pod <pod-name>

故障排查

Pod 无法启动

# 查看 Pod 状态
kubectl get pods
kubectl describe pod <pod-name>

# 查看事件
kubectl get events --sort-by=.metadata.creationTimestamp

# 进入容器调试
kubectl exec -it <pod-name> -- sh

服务无法访问

# 检查 Service
kubectl get svc
kubectl describe svc docs-service

# 检查 Endpoints
kubectl get endpoints docs-service

# 端口转发测试
kubectl port-forward svc/docs-service 8080:80

下一步