最简单的 K8S 部署文件编写姿势，没有之一！
資深大佬 : kevinwan 6
1. 头疼编写 K8S 部署文件？
K8S yaml参数很多，需要边写边查？- 保留回滚版本数怎么设？
- 如何探测启动成功，如何探活？
- 如何分配和限制资源？
- 如何设置时区？否则打印日志是 GMT 标准时间
- 如何暴露服务供其它服务调用？
- 如何根据 CPU 和内存使用率来配置水平伸缩？
首先，你需要知道有这些知识点，其次要把这些知识点都搞明白也不容易，再次，每次编写依然容易出错！
2. 创建服务镜像
前一篇文章 讲解了如何快速创建自己的服务镜像，不过为了演示，这篇文章我们以 redis:6-alpine 镜像为例。
3. 完整 K8S 部署文件编写过程
-
首先安装
goctl工具GO111MODULE=on GOPROXY=https://goproxy.cn/,direct go get -u github.com/tal-tech/go-zero/tools/goctl -
一键生成 K8S 部署文件
goctl kube deploy -name redis -namespace adhoc -image redis:6-alpine -o redis.yaml -port 6379生成的
yaml文件如下：apiVersion: apps/v1 kind: Deployment metadata: name: redis namespace: adhoc labels: app: redis spec: replicas: 3 revisionHistoryLimit: 5 selector: matchLabels: app: redis template: metadata: labels: app: redis spec: containers: - name: redis image: redis:6-alpine lifecycle: preStop: exec: command: ["sh","-c","sleep 5"] ports: - containerPort: 6379 readinessProbe: tcpSocket: port: 6379 initialDelaySeconds: 5 periodSeconds: 10 livenessProbe: tcpSocket: port: 6379 initialDelaySeconds: 15 periodSeconds: 20 resources: requests: cpu: 500m memory: 512Mi limits: cpu: 1000m memory: 1024Mi volumeMounts: - name: timezone mountPath: /etc/localtime volumes: - name: timezone hostPath: path: /usr/share/zoneinfo/Asia/Shanghai --- apiVersion: v1 kind: Service metadata: name: redis-svc namespace: adhoc spec: ports: - port: 6379 selector: app: redis --- apiVersion: autoscaling/v2beta1 kind: HorizontalPodAutoscaler metadata: name: redis-hpa-c namespace: adhoc labels: app: redis-hpa-c spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: redis minReplicas: 3 maxReplicas: 10 metrics: - type: Resource resource: name: cpu targetAverageUtilization: 80 --- apiVersion: autoscaling/v2beta1 kind: HorizontalPodAutoscaler metadata: name: redis-hpa-m namespace: adhoc labels: app: redis-hpa-m spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: redis minReplicas: 3 maxReplicas: 10 metrics: - type: Resource resource: name: memory targetAverageUtilization: 80 -
部署服务，如果
adhocnamespace 不存在的话，请先通过kubectl create namespace adhoc创建$ kubectl apply -f redis.yaml deployment.apps/redis created service/redis-svc created horizontalpodautoscaler.autoscaling/redis-hpa-c created horizontalpodautoscaler.autoscaling/redis-hpa-m created -
查看服务允许状态
$ kubectl get all -n adhoc NAME READY STATUS RESTARTS AGE pod/redis-585bc66876-5ph26 1/1 Running 0 6m5s pod/redis-585bc66876-bfqxz 1/1 Running 0 6m5s pod/redis-585bc66876-vvfc9 1/1 Running 0 6m5s NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/redis-svc ClusterIP 172.24.15.8 <none> 6379/TCP 6m5s NAME READY UP-TO-DATE AVAILABLE AGE deployment.apps/redis 3/3 3 3 6m6s NAME DESIRED CURRENT READY AGE replicaset.apps/redis-585bc66876 3 3 3 6m6s NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE horizontalpodautoscaler.autoscaling/redis-hpa-c Deployment/redis 0%/80% 3 10 3 6m6s horizontalpodautoscaler.autoscaling/redis-hpa-m Deployment/redis 0%/80% 3 10 3 6m6s -
测试服务
$ kubectl run -i --tty --rm cli --image=redis:6-alpine -n adhoc -- sh /data # redis-cli -h redis-svc redis-svc:6379> set go-zero great OK redis-svc:6379> get go-zero "great"
4. 总结
goctl 工具极大简化了 K8S yaml 文件的编写，提供了开箱即用的最佳实践，并且支持了模板自定义。
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