K8s怎么部署发布Golang应用程序

本篇内容介绍了“K8s怎么部署发布Golang应用程序”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！

目录

• 创建dockerfile
  

• 打包并且推送
  

• 创建namespace
  

• 创建deployment
  

• 创建service
  

• 创建ingress
  

• 创建hpa
  

alertGo程序可以参考上篇文章，主要用于alertmanager实现钉钉报警

创建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

创建namespace

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

创建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

创建service

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

创建ingress

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

创建hpa

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

结果查看

[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

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