快捷導(dǎo)航

K8s部署發(fā)布Golang應(yīng)用程序的實現(xiàn)方法

更新時間：2021年07月16日 10:10:26 作者：luoguo

本文主要介紹了K8s部署發(fā)布Golang應(yīng)用程序的實現(xiàn)方法，文中通過示例代碼介紹的非常詳細(xì)，需要的朋友們下面隨著小編來一起學(xué)習(xí)學(xué)習(xí)吧

創(chuàng)建dockerfile

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"]

打包并且推送

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

創(chuàng)建namespace

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

創(chuàng)建deployment

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

創(chuàng)建service

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

創(chuàng)建ingress

kind: Ingress # 對象類型
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

創(chuàng)建hpa

kind: HorizontalPodAutoscaler # 對象類型，簡稱 hpa，水平自動伸縮
apiVersion: autoscaling/v2beta2 # autoscaling/v2beta2 與 autoscaling/v1 的 API 有很大的不同，注意識別兩者的差異
metadata:
  name: alertgo
  namespace: fronted
spec:
  scaleTargetRef: # 伸縮的目標(biāo)對象
    apiVersion: apps/v1 # 對象版本
    kind: Deployment # 目標(biāo)對象的類型
    name: alertgo # 目標(biāo)對象的名稱
  minReplicas: 3 # 最小副本數(shù)
  maxReplicas: 6 # 最大副本數(shù)
  metrics: # 指標(biāo)
    - type: Resource # 類型：資源
      resource:
        name: memory # 內(nèi)存
        target:
          type: Utilization
          averageUtilization: 70 # 1% 這個值是為了實驗，具體值請參考業(yè)務(wù)方實際情況而定

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

結(jié)果查看

[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

到此這篇關(guān)于K8s部署發(fā)布Golang應(yīng)用程序的實現(xiàn)方法的文章就介紹到這了,更多相關(guān)K8s部署發(fā)布Golang內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！

您可能感興趣的文章: