K8s部署发布Golang应用程序的实现方法

FROM golang:1.14-alpine
ENV GOPROXY=https://goproxy.cn
WORKDIR /build
COPY . .
EXPOSE 8088
RUN mkdir /app
RUN  go mod tidy
RUN go build -o /app/alertGo alertGo.go
WORKDIR /app
CMD ["/app/alertGo"]

docker build -t 10.206.16.4/k8s-go/alert.sentsss.com:v2 .
docker push 10.206.16.4/k8s-go/alert.sentsss.com:v2

apiVersion: v1
kind: Namespace
metadata:
  name: k8s-go

apiVersion: apps/v1
kind: Deployment
metadata:
  name: alertgo
  namespace: k8s-go
spec:
  selector:
    matchLabels:
      app: alertgo
  replicas: 2
  template:
    metadata:
      labels:
        app: alertgo
    spec:
      imagePullSecrets:
      - name: registry-pull-secret
      containers:
        - name: alertgo
          image: 10.206.16.4/k8s-go/alert.sentsss.com:v2
          ports:
            - containerPort: 8088
          livenessProbe:
            httpGet:
              path: /
              port: 8088
            initialDelaySeconds: 30
            periodSeconds: 10
            successThreshold: 1
            failureThreshold: 3
            timeoutSeconds: 1
          readinessProbe:
            httpGet:
              path: /
              port: 8088
            initialDelaySeconds: 30
            periodSeconds: 10
            successThreshold: 1
            failureThreshold: 3
            timeoutSeconds: 1
          lifecycle:
            preStop:
              exec:
                command: ["/bin/bash","-c","sleep 20"]
          resources:
            limits:
              cpu: 20m
              memory: 20Mi
            requests:
       cpu: 10m
              memory: 10Mi

apiVersion: v1
kind: Service
metadata:
  name: alertgo
  namespace: k8s-go
spec:
  selector:
    app: alertgo
  ports:
    - port: 80
      targetPort: 8088

kind: Ingress # 对象类型
apiVersion: networking.k8s.io/v1beta1
metadata:
  name: alertgo
  namespace: k8s-go
spec:
  rules:
    - host: alertgo.xxx.com
      http:
        paths:
        - path: /
          backend:
            serviceName: alertgo 
            servicePort: 80

kind: HorizontalPodAutoscaler # 对象类型，简称 hpa，水平自动伸缩
apiVersion: autoscaling/v2beta2 # autoscaling/v2beta2 与 autoscaling/v1 的 API 有很大的不同，注意识别两者的差异
metadata:
  name: alertgo
  namespace: fronted
spec:
  scaleTargetRef: # 伸缩的目标对象
    apiVersion: apps/v1 # 对象版本
    kind: Deployment # 目标对象的类型
    name: alertgo # 目标对象的名称
  minReplicas: 3 # 最小副本数
  maxReplicas: 6 # 最大副本数
  metrics: # 指标
    - type: Resource # 类型：资源
      resource:
        name: memory # 内存
        target:
          type: Utilization
          averageUtilization: 70 # 1% 这个值是为了实验，具体值请参考业务方实际情况而定

    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70