最简单的 K8S 部署文件编写姿势，没有之一！
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/goct- 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。
如果觉得文章有帮助，欢迎 star 🤝
5. 项目地址
- 发表于:
- 本文为 InfoQ 中文站特供稿件
- 首发地址：https://www.infoq.cn/article/7b1bf5ff2a303b384a567f46d
- 如有侵权，请联系 cloudcommunity@tencent.com 删除。
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