• 37


    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 adhoc namespace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 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”

  • 相关阅读:
    优秀网站推荐
    本机号码一键登录
    基金配置#通过且慢分析基金相关性
    开源didi kafka-manager使用
    多线程编程解决思路
    jsoup选择器
    codeman的角色权限显隐
    html页面跳转带中文参数,乱码
    idea代码查看当前项目占用内存
    阿里云oss上传———通过MultipartFile,springmvc模式
  • 原文地址:https://www.cnblogs.com/gd11/p/14216147.html
Copyright © 2020-2023  润新知