[Go语言] K8s部署发布Golang应用程序的实现方法

• 创建dockerfile
  
• 打包并且推送
  
• 创建namespace
  
• 创建deployment
  
• 创建service
  
• 创建ingress
  
• 创建hpa
  

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

[root@k8s-master-01 alertGo]# kubectl get pods,svc,ingress,hpa -n k8s-go
NAME               READY   STATUS        RESTARTS   AGE
pod/alertgo-5bc79ccd65-8thmw   1/1   Running       0      37m
pod/alertgo-5bc79ccd65-dm8ll   1/1   Running       0      38m
pod/alertgo-5bc79ccd65-m9cd4   0/1   ContainerCreating   0      0s
NAME        TYPE    CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE
service/alertgo   ClusterIP   10.1.140.126   <none>    80/TCP  65m
NAME             HOSTS         ADDRESS   PORTS   AGE
ingress.extensions/alertgo   alertgo.sentsss.com       80    34m
NAME                      REFERENCE      TARGETS      MINPODS   MAXPODS   REPLICAS   AGE
horizontalpodautoscaler.autoscaling/alertgo   Deployment/alertgo   79%/70%, 10%/70%   2     6     2      15s