| name | deployment |
| description | Kubernetes Deployment 管理 |
| version | 1.0.0 |
| author | terminal-skills |
| tags | ["kubernetes","deployment","k8s","rollout","scaling"] |
Deployment 管理
概述
Deployment 滚动更新、回滚、扩缩容等技能。
基础操作
查看 Deployment
kubectl get deployments
kubectl get deploy -o wide
kubectl get deploy -n namespace
kubectl describe deploy deployment-name
kubectl get deploy deployment-name -o yaml
创建 Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.20
ports:
- containerPort: 80
resources:
requests:
memory: "64Mi"
cpu: "100m"
limits:
memory: "128Mi"
cpu: "200m"
kubectl apply -f deployment.yaml
kubectl create deployment nginx --image=nginx:1.20 --replicas=3
删除 Deployment
kubectl delete deploy deployment-name
kubectl delete -f deployment.yaml
扩缩容
kubectl scale deploy deployment-name --replicas=5
kubectl autoscale deploy deployment-name --min=2 --max=10 --cpu-percent=80
kubectl get hpa
kubectl describe hpa deployment-name
HPA 配置
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: nginx-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: nginx-deployment
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 80
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
滚动更新
更新策略配置
spec:
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 25%
maxUnavailable: 25%
执行更新
kubectl set image deploy/deployment-name container-name=nginx:1.21
kubectl set env deploy/deployment-name ENV_VAR=value
kubectl set resources deploy/deployment-name -c container-name --limits=cpu=200m,memory=256Mi
kubectl apply -f deployment.yaml
kubectl set image deploy/deployment-name container-name=nginx:1.21 --record
查看更新状态
kubectl rollout status deploy/deployment-name
kubectl rollout history deploy/deployment-name
kubectl rollout history deploy/deployment-name --revision=2
kubectl rollout pause deploy/deployment-name
kubectl rollout resume deploy/deployment-name
回滚
kubectl rollout undo deploy/deployment-name
kubectl rollout undo deploy/deployment-name --to-revision=2
kubectl rollout status deploy/deployment-name
高级配置
健康检查
spec:
template:
spec:
containers:
- name: app
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
startupProbe:
httpGet:
path: /startup
port: 8080
failureThreshold: 30
periodSeconds: 10
亲和性配置
spec:
template:
spec:
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchLabels:
app: nginx
topologyKey: kubernetes.io/hostname
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: node-type
operator: In
values:
- worker
容忍度
spec:
template:
spec:
tolerations:
- key: "node-role.kubernetes.io/master"
operator: "Exists"
effect: "NoSchedule"
常见场景
场景 1:蓝绿部署
kubectl apply -f deployment-v2.yaml
kubectl patch service my-service -p '{"spec":{"selector":{"version":"v2"}}}'
kubectl delete deploy deployment-v1
场景 2:金丝雀发布
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-canary
spec:
replicas: 1
selector:
matchLabels:
app: nginx
track: canary
template:
metadata:
labels:
app: nginx
track: canary
spec:
containers:
- name: nginx
image: nginx:1.21
场景 3:批量重启 Pod
kubectl rollout restart deploy/deployment-name
kubectl patch deploy deployment-name -p '{"spec":{"template":{"metadata":{"annotations":{"date":"'$(date +%s)'"}}}}}'
场景 4:查看 Pod 分布
kubectl get pods -l app=nginx -o wide
kubectl get pods -l app=nginx -o jsonpath='{range .items[*]}{.spec.nodeName}{"\n"}{end}' | sort | uniq -c
故障排查
| 问题 | 排查方法 |
|---|
| 更新卡住 | kubectl rollout status, 检查 Pod 状态 |
| Pod 无法调度 | kubectl describe pod, 检查资源和亲和性 |
| 更新后服务异常 | 检查健康检查配置、回滚 |
| HPA 不生效 | 检查 metrics-server、资源配置 |
kubectl describe deploy deployment-name | grep -A 20 Events
kubectl get rs -l app=nginx
kubectl describe rs rs-name