k8s入门与实践
目录
- 一、Kubernetes安装
- 二、基本操作
-
- 1.Minikube
- 2.kubectl
- 三、基本概念
-
- 1.Cluster
- 2.Master
- 3.Node
- 4.Pod
- 5.Controller
- 6.Service
- 7.Namespace
- 四、k8s架构初识
-
- 1.执行流程
- 2.Master
- 3.Node
- 六、Deployment
-
- 1.创建方式
- 2.删除指令
- 3.构建过程
- 五、Label
- 六、Job
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- 1.容器类型划分
- 2.创建任务
- 七、Service
-
- 1.作用
- 2.创建
- 八、Rolling Update
一、Kubernetes安装
Kubernetes中文社区 | 中文文档
- 设置阿里云镜像
vim /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=0
- 安装minikube
curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube
- 安装kubectl
curl -LO https://dl.k8s.io/release/v1.20.0/bin/linux/amd64/kubectl
sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl
- 安装conntrack
yum install conntrack
二、基本操作
1.Minikube
前提: 安装docker(安装笔记)
-
启动minikube
minikube start --vm-driver='none' --image-mirror-country='cn' --image-repository='registry.cn-hangzhou.aliyuncs.com/google_containers' -
停止minikube
minikube stop
2.kubectl
-
查看节点——kubectl get node(s)
[root@*********************** ~]# kubectl get nodes NAME STATUS ROLES AGE VERSION *********************** Ready control-plane,master 4d3h v1.22.3node是⽤于承载运⾏中的容器的。
有⼀个node, 这个node的⻆⾊是master。
k8s也有集群的概念, 即：cluster, 包含master和node, 该节点即是master节点, ⼜是node节点。 -
创建deployment
[root@*********************** ~]# kubectl create deployment my-nginx --image nginx:latest deployment.apps/my-nginx created -
查看所有deployment——kubectl get deploy(ment)(s)
[root@*********************** ~]# kubectl get deployment NAME READY UP-TO-DATE AVAILABLE AGE my-nginx 1/1 1 1 7m46s -
查看所有pod——kubectl get pod(s)
[root@*********************** ~]# kubectl get pods NAME READY STATUS RESTARTS AGE my-nginx-b7d7bc74d-qq56l 1/1 Running 0 8m46s -
查看所有pod信息以及ip和port——kubectl get pods -o wide
[root@*********************** ~]# kubectl get pods -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES my-nginx-b7d7bc74d-qq56l 1/1 Running 0 12m ---.--.-.- *********************** -
查看所有service——kubectl get service(s)
[root@*********************** ~]# kubectl get service(s) NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE kubernetes ClusterIP 10.96.0.1443/TCP 4d3h -
查询所有命名空间——kubectl get namespace(s)
[root@*********************** ~]# kubectl get namespaces NAME STATUS AGE default Active 4d3h kube-node-lease Active 4d3h kube-public Active 4d3h kube-system Active 4d3h1.默认的是default
2.kube-*为k8s系统自身的命名空间 -
修改副本数
即修改pod的个数, 如不指定副本个数, 则默认就是⼀个pod
# 将pods个数修改为3个 [root@*********************** ~]# kubectl scale deployments/my-nginx --replicas=3 deployment.apps/my-nginx scaled [root@*********************** ~]# kubectl get deployments NAME READY UP-TO-DATE AVAILABLE AGE my-nginx 1/3 3 1 33m [root@*********************** ~]# kubectl get pods NAME READY STATUS RESTARTS AGE my-nginx-b7d7bc74d-ht5fx 1/1 Running 0 36s my-nginx-b7d7bc74d-mc9p5 1/1 Running 0 36s my-nginx-b7d7bc74d-qq56l 1/1 Running 0 33m # 将pods个数修改为2个 [root@*********************** ~]# kubectl scale deployments/my-nginx --replicas=2 deployment.apps/my-nginx scaled [root@*********************** ~]# kubectl get deployments NAME READY UP-TO-DATE AVAILABLE AGE my-nginx 2/2 2 2 38m [root@*********************** ~]# kubectl get pods NAME READY STATUS RESTARTS AGE my-nginx-b7d7bc74d-mc9p5 1/1 Running 0 5m49s my-nginx-b7d7bc74d-qq56l 1/1 Running 0 38m
三、基本概念
1.Cluster
资源的集合, k8s利⽤这些资源运⾏各种基于容器的应⽤。
2.Master
- Cluster的⼤脑, 司令部
- 主要的任务就是⽤来调度的, 决定应⽤应该放到哪⾥去执⾏, 为了⾼可⽤, 也可以运⾏多个master
3.Node
- 负责运⾏容器应⽤
- Master管理, 负责监控和容器状态的汇报
4.Pod
k8s的最⼩的⼯作单元, 包含1~N个容器
-
使⽤⽅式：
-
⼀个pod运⾏⼀个容器(最常⽤)
-
⼀个pod运⾏多个容器(较少见)
⾮常紧密相关的⼀组容器, 并且需要资源的共享, ⼀起启动、⼀起停⽌
-
5.Controller
- 管理Pod
- 针对不同的业务场景, k8s提供了多种Controller, 其中包含: Deployment、ReplicaSet、DaemonSet、StatefulSet、Job
-
Deployment
1.最常⽤的Controller, 可以管理Pod的多个副本(例如: --replicas=3), 并且可以确保Pod按照期望的状态去运⾏
2.实质: 会⾃动创建ReplicaSet,
最终是由ReplicaSet创建pod -
ReplicaSet
也是管理Pod的多个副本
-
DaemonSet
⽤于每个Node最多只运⾏⼀个Pod副本的创建
-
StatefulSet
保证副本按照固定的顺序启动、更新、删除
6.Service
为Pod提供了负载均衡、固定的IP和Port——因为pod是不稳定的, IP会变化的, 所以需要⼀个固定的IP或Port
- 区别：
- Controller负责运⾏容器
- Service负责访问容器
7.Namespace
资源隔离
四、k8s架构初识
1.kubelet是唯一没有以容器形式运行的Kubernetes组件
2.k8s架构中, 主要是由Master和Node组成的
1.执行流程
当执行部署应用并指定两个副本的时候
- Kuberctl发送部署请求到API Server
- API Server通知Controller Manager创建一个deployment资源
- Scheduler执行调度任务, 将两个副本Pod分发到node1和node2上
- node1和node2上的kubectl在各自的节点上创建并运行Pod
2.Master
-
API-Server
属于前端交互接⼝, 提供基于Http/https RESTful API接收对应的指令
-
Scheduler
负责决定将pod放到哪个Node上运⾏
-
Controller Manager
⾮常关键的组件, 管理Cluster中的各种资源 -
etcd
负责保存k8s的配置信息和各种资源的状态信息, 如果数据发⽣了变化, etcd会快速通知相关的组件
3.Node
-
kubelet
创建和运⾏容器
-
kube-proxy
负责请求的转发, 如果有多个副本, 则会实现负载均衡
六、Deployment
1.创建方式
-
kubectl命令
-
kubectl run
kubectl run nginx-deployment --image nginx:1.7.9 --replicas=2
[root@*********************** nginx]# kubectl run nginx-deployment --image nginx:1.7.9 --replicas=2 Flag --replicas has been deprecated, has no effect and will be removed in the future. pod/deployments created在命令行中通过参数指定资源的属性(但是, 在K8S v1.18.0以后, -–replicas已弃用, 推荐用 kubectl apply 创建 pods)
-
kubectl create
kubectl create deployment nginx-deployment --image nginx:1.7.9 --replicas=2
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-
配置文件 + kubectl apply
-
编写yml配置文件(
文件内部, 自定义名称不能包含大写字母)例如:
# 版本号 apiVersion: apps/v1 # 类型: Pod/ReplicationController/Deployment/Service/Ingress kind: Deployment metadata: # Kind的名称 name: nginx-deployment spec: selector: matchLabels: # 容器标签的名称, 发布Service时, selector需要和这里对应 app: nginx # 部署的实例数量(默认一个) replicas: 2 template: # 至少定义一个label, key和value可以任意指定 metadata: labels: app: nginx # 此部分描述Pod的规格, 定义Pod中每一个容器的属性, name和image是必需的 spec: # 容器配置, 数组类型, 说明可以配置多个容器 containers: # 容器名称(必须) - name: nginx # 容器镜像(必须) image: nginx:1.7.9 # 策略: "Always", "IfNotPresent", "Never" # 只有镜像不存在时, 才会进行镜像拉取 imagePullPolicy: IfNotPresent ports: # Pod端口 - containerPort: 80 -
执行命令
[root@*********************** nginx]# kubectl apply -f nginx.yaml deployment.apps/nginx-deployment created
-
2.删除指令
[root@*********************** ~]# kubectl delete deployment my-nginx
deployment.apps “my-nginx” deleted
注意点
-
如配置2个pod, 对其中一个pod进行删除, 依然会根据deployment配置, 再补充为2个pod
-
删除deployment时, pod会随之自动被删除
3.构建过程
kubectl——创建Deployment——创建ReplicaSet——创建Pod
- deployment描述信息
[root@*********************** nginx]# kubectl describe deployment nginx-deployment
Name: nginx-deployment
Namespace: default
.
.
.
NewReplicaSet: nginx-deployment-5d59d67564 (2/2 replicas created)
.
.
.
- Replicaset描述信息
[root@*********************** nginx]# kubectl describe rs nginx-deployment-5d59d67564
Name: nginx-deployment-5d59d67564
Namespace: default
.
.
.
.
.
.
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulCreate 13m replicaset-controller Created pod: nginx-deployment-5d59d67564-mcrsm
Normal SuccessfulCreate 13m replicaset-controller Created pod: nginx-deployment-5d59d67564-qt7rc
- Pod描述信息
[root@*********************** nginx]# kubectl describe pod nginx-deployment-5d59d67564-mcrsm
Name: nginx-deployment-5d59d67564-mcrsm
Namespace: default
.
.
.
Controlled By: ReplicaSet/nginx-deployment-5d59d67564
.
.
.
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Scheduled 17m default-scheduler Successfully assigned default/nginx-deployment-5d59d67564-mcrsm to ***********************
Normal Pulled 17m kubelet Container image "nginx:1.7.9" already present on machine
Normal Created 17m kubelet Created container nginx
Normal Started 17m kubelet Started container nginx
五、Label
默认配置下, Scheduler会将Pod调度到所有可用的Node, 不过有些情况我们可以通过lable将Pod部署到指定的Node, 例如:
- 将有大量磁盘I/O的Pod部署到配置了SSD的Node上
- 将需要GPUPod部署到配置了GPU的Node上
-
查看节点的标签信息
[root@*********************** nginx]# kubectl get node NAME STATUS ROLES AGE VERSION *********************** Ready control-plane,master 4d22h v1.22.3 [root@*********************** nginx]# kubectl get node --show-labels NAME STATUS ROLES AGE VERSION LABELS *********************** Ready control-plane,master 4d22h v1.22.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,kubernetes.io/arch=amd64,kubernetes.io/hostname=***********************,kubernetes.io/os=linux,minikube.k8s.io/commit=76b94fb3c4e8ac5062daf70d60cf03ddcc0a741b,minikube.k8s.io/name=minikube,minikube.k8s.io/updated_at=2021_11_19T17_01_50_0700,minikube.k8s.io/version=v1.24.0,node-role.kubernetes.io/control-plane=,node-role.kubernetes.io/master=,node.kubernetes.io/exclude-from-external-load-balancers= -
添加/删除标签
# 添加 [root@*********************** nginx]# kubectl label node *********************** disktype=ssd node/*********************** labeled [root@*********************** nginx]# kubectl get node --show-labels NAME STATUS ROLES AGE VERSION LABELS *********************** Ready control-plane,master 4d22h v1.22.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,disktype=ssd,kubernetes.io/arch=amd64,kubernetes.io/hostname=***********************,kubernetes.io/os=linux,minikube.k8s.io/commit=76b94fb3c4e8ac5062daf70d60cf03ddcc0a741b,minikube.k8s.io/name=minikube,minikube.k8s.io/updated_at=2021_11_19T17_01_50_0700,minikube.k8s.io/version=v1.24.0,node-role.kubernetes.io/control-plane=,node-role.kubernetes.io/master=,node.kubernetes.io/exclude-from-external-load-balancers=# 删除 [root@*********************** nginx]# kubectl label node *********************** disktype- node/*********************** labeled [root@*********************** nginx]# kubectl get node --show-labels NAME STATUS ROLES AGE VERSION LABELS *********************** Ready control-plane,master 4d22h v1.22.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,kubernetes.io/arch=amd64,kubernetes.io/hostname=***********************,kubernetes.io/os=linux,minikube.k8s.io/commit=76b94fb3c4e8ac5062daf70d60cf03ddcc0a741b,minikube.k8s.io/name=minikube,minikube.k8s.io/updated_at=2021_11_19T17_01_50_0700,minikube.k8s.io/version=v1.24.0,node-role.kubernetes.io/control-plane=,node-role.kubernetes.io/master=,node.kubernetes.io/exclude-from-external-load-balancers= -
修改xx.yml配置文件
-
重新部署Deployment
六、Job
1.容器类型划分
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容器按照持续运行时间可以分为
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服务类容器
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持续提供服务, 则需要一直运行, 比如HTTP Server、Daemon
-
Deployment、ReplicaSet和DaemonSet都用于管理服务类容器
-
-
工作类容器
-
一次性任务, 比如批处理程序, 完成后容器就退出
-
Job用于管理工作类容器
-
-
2.创建任务
-
普通Job
apiVersion: batch/v1 kind: Job metadata: name: myjob spec: # 需要完成的数量 # completions: 6 # 并行数量 # parallelism: 2 template: metadata: name: myjob spec: containers: - name: hello image: busybox command: ["echo", "hello k8s job!"] # command: ["invalid_command", "hello k8s job!"] restartPolicy: Never # restartPolicy: OnFailure-
command: [“echo”, “hello k8s job!”]
[root@*********************** deployConfigFile]# kubectl apply -f myJob.yaml job.batch/myjob created [root@*********************** ~]# kubectl get job NAME COMPLETIONS DURATION AGE myjob 1/1 22s 16h [root@*********************** ~]# kubectl get pods NAME READY STATUS RESTARTS AGE myjob--1-jvttw 0/1 Completed 0 16h [root@*********************** ~]# kubectl logs myjob--1-jvttw hello k8s job! -
command: [“invalid_command”, “hello k8s job!”]
-
restartPolicy: Never
[root@*********************** deployConfigFile]# kubectl get pods NAME READY STATUS RESTARTS AGE myjob--1-2z8dk 0/1 ContainerCreating 0 9s myjob--1-rlzmk 0/1 ContainerCannotRun 0 28s ``` -
restartPolicy: OnFailure
[root@*********************** deployConfigFile]# kubectl get pods NAME READY STATUS RESTARTS AGE myjob--1-xkbrj 0/1 RunContainerError 1 (1s ago) 35s
-
-
-
定时Job
# apiVersion: batch/v1 apiVersion: batch/v2alpha1 kind: CronJob metadata: name: hello spec: schedule: "*/1 * * * *" jobTemplate: spec: template: spec: containers: - name: hello image: busybox command: ["echo", "hello k8s cronJob!"] restartPolicy: OnFailure-
可能出现的错误信息
[root@*********************** deployConfigFile]# kubectl apply -f myCronJob.yaml error: unable to recognize "myCronJob.yaml": no matches for kind "CronJob" in version "batch/v2alpha1"-
查看支持的版本
[root@*********************** deployConfigFile]# kubectl api-versions admissionregistration.k8s.io/v1 apiextensions.k8s.io/v1 apiregistration.k8s.io/v1 # 常用 apps/v1 authentication.k8s.io/v1 authorization.k8s.io/v1 autoscaling/v1 autoscaling/v2beta1 autoscaling/v2beta2 # 常用 batch/v1 batch/v1beta1 certificates.k8s.io/v1 coordination.k8s.io/v1 discovery.k8s.io/v1 discovery.k8s.io/v1beta1 events.k8s.io/v1 events.k8s.io/v1beta1 flowcontrol.apiserver.k8s.io/v1beta1 networking.k8s.io/v1 node.k8s.io/v1 node.k8s.io/v1beta1 policy/v1 policy/v1beta1 rbac.authorization.k8s.io/v1 scheduling.k8s.io/v1 storage.k8s.io/v1 storage.k8s.io/v1beta1 v1 -
引入batch/v2alpha1
[root@*********************** deployConfigFile]# vim /etc/kubernetes/manifests/kube-apiserver.yamlspec: containers: - command: - kube-apiserver - --runtime-config=batch/v2alpha1=true . . .-
可能需要手动重启——systemctl restart kubelet
-
可能会出现Server无法重启的现象, 提升Kubernetes版本至1.5及其以上
-
-
-
batch/v1——参考文档
[root@*********************** deployConfigFile]# kubectl apply -f myCronJob.yaml cronjob.batch/hello created [root@*********************** deployConfigFile]# kubectl get cronJob NAME SCHEDULE SUSPEND ACTIVE LAST SCHEDULE AGE hello */1 * * * * False 037s [root@*********************** deployConfigFile]# kubectl get pods NAME READY STATUS RESTARTS AGE hello-27296887--1-7nk7q 0/1 Completed 0 2m8s hello-27296888--1-dg6nh 0/1 Completed 0 67s hello-27296889--1-t5gqx 0/1 ContainerCreating 0 8s
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七、Service
1.作用
Service提供了固定的ip和端口, 并且里面包含一组pod, 即使Pod的ip发生变化, 但是面对客户端的是Service的固定ip和端口
- Pod是不健壮的, Pod中的容器很可能因为各种原因发生故障而挂掉
- Deployment等Controller会通过动态创建和销毁Pod来保证应用整体的健壮性, 所以应用才是是健壮的
2.创建
-
创建Deployment
apiVersion: apps/v1 kind: Deployment metadata: name: httpd spec: selector: matchLabels: run: httpd replicas: 3 template: metadata: labels: name: httpd spec: containers: - name: httpd image: httpd ports: - containerPort: 80[root@*********************** httpd]# kubectl apply -f httpd.yaml deployment.apps/httpd created [root@*********************** httpd]# kubectl get pods NAME READY STATUS RESTARTS AGE httpd-5cbd65d46c-f7hgm 1/1 Running 0 2m35s httpd-5cbd65d46c-qvmqw 1/1 Running 0 2m35s httpd-5cbd65d46c-xzbkv 1/1 Running 0 2m35s [root@*********************** httpd]# kubectl get pods -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES httpd-5cbd65d46c-f7hgm 1/1 Running 0 3m16s 172.18.0.6 ***********************httpd-5cbd65d46c-qvmqw 1/1 Running 0 3m16s 172.18.0.4 *********************** httpd-5cbd65d46c-xzbkv 1/1 Running 0 3m16s 172.18.0.5 *********************** [root@*********************** httpd]# curl 172.18.0.6 It works!
[root@*********************** httpd]# curl 172.18.0.5It works!
[root@*********************** httpd]# curl 172.18.0.4It works!
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创建Service
apiVersion: v1 kind: Service metadata: name: httpd-svc spec: selector: run: httpd ports: - protocol: TCP port: 8080 targetPort: 80[root@*********************** httpd]# kubectl apply -f httpdSvc.yaml service/httpd-svc created [root@*********************** httpd]# kubectl get service NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE httpd-svc ClusterIP 10.106.23.938080/TCP 5m57s [root@*********************** httpd]# curl 10.106.23.93:8080 It works!
-
关联性
-
kubectl describe service httpd-svc
[root@*********************** httpd]# kubectl describe service httpd-svc Name: httpd-svc Namespace: default Labels:Annotations: Selector: run=httpd Type: ClusterIP IP Family Policy: SingleStack IP Families: IPv4 IP: 10.106.23.93 IPs: 10.106.23.93 Port: 8080/TCP TargetPort: 80/TCP Endpoints: 172.18.0.4:80,172.18.0.5:80,172.18.0.6:80 . . . -
iptables-save
[root@*********************** httpd]# iptables-save . . . -A KUBE-SERVICES -d 10.106.23.93/32 -p tcp -m comment --comment "default/httpd-svc cluster IP" -m tcp --dport 8080 -j KUBE-SVC-IYRDZZKXS5EOQ6Q6 . . . -A KUBE-SVC-IYRDZZKXS5EOQ6Q6 ! -s 10.244.0.0/16 -d 10.106.23.93/32 -p tcp -m comment --comment "default/httpd-svc cluster IP" -m tcp --dport 8080 -j KUBE-MARK-MASQ -A KUBE-SVC-IYRDZZKXS5EOQ6Q6 -m comment --comment "default/httpd-svc" -m statistic --mode random --probability 0.33333333349 -j KUBE-SEP-CERU7ZF6K2KWGLTG -A KUBE-SVC-IYRDZZKXS5EOQ6Q6 -m comment --comment "default/httpd-svc" -m statistic --mode random --probability 0.50000000000 -j KUBE-SEP-FEWNLSQ65IOCPPEH -A KUBE-SVC-IYRDZZKXS5EOQ6Q6 -m comment --comment "default/httpd-svc" -j KUBE-SEP-VEOTCWMCCOB2VENI -A KUBE-SEP-CERU7ZF6K2KWGLTG -s 172.18.0.4/32 -m comment --comment "default/httpd-svc" -j KUBE-MARK-MASQ -A KUBE-SEP-CERU7ZF6K2KWGLTG -p tcp -m comment --comment "default/httpd-svc" -m tcp -j DNAT --to-destination 172.18.0.4:80 -A KUBE-SEP-FEWNLSQ65IOCPPEH -s 172.18.0.5/32 -m comment --comment "default/httpd-svc" -j KUBE-MARK-MASQ -A KUBE-SEP-FEWNLSQ65IOCPPEH -p tcp -m comment --comment "default/httpd-svc" -m tcp -j DNAT --to-destination 172.18.0.5:80 -A KUBE-SEP-VEOTCWMCCOB2VENI -s 172.18.0.6/32 -m comment --comment "default/httpd-svc" -j KUBE-MARK-MASQ -A KUBE-SEP-VEOTCWMCCOB2VENI -p tcp -m comment --comment "default/httpd-svc" -m tcp -j DNAT --to-destination 172.18.0.6:80 . . .
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八、Rolling Update
k8s自带功能
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什么是滚动更新
一次只更新一小部分副本, 成功后再更新更多的副本, 最终完成所有副本的更新
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优势
最大好处是
零停机, 整个更新过程始终有副本在运行, 从而保证了业务的连续性 -
示例
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更新
apiVersion: apps/v1 kind: Deployment metadata: name: httpd spec: selector: matchLabels: run: httpd replicas: 3 template: metadata: labels: run: httpd spec: containers: - name: httpd image: httpd:2.2.31 # image: httpd:2.2.32 imagePullPolicy: IfNotPresent ports: - containerPort: 80[root@*********************** httpd]# kubectl apply -f httpdRollingUpdate.yaml deployment.apps/httpd configured [root@*********************** httpd]# vim httpdRollingUpdate.yaml [root@*********************** httpd]# kubectl apply -f httpdRollingUpdate.yaml deployment.apps/httpd configured [root@*********************** httpd]# kubectl get pod NAME READY STATUS RESTARTS AGE httpd-55f56846f-875sg 1/1 Running 0 108s httpd-55f56846f-ggqb5 1/1 Running 0 108s httpd-55f56846f-tjn66 1/1 Running 0 108s httpd-846d8d79dd-d7bzk 0/1 ContainerCreating 0 13s [root@*********************** httpd]# kubectl describe deployment httpd Name: httpd Namespace: default . . . Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal ScalingReplicaSet 3m12s deployment-controller Scaled up replica set httpd-55f56846f to 3 Normal ScalingReplicaSet 97s deployment-controller Scaled up replica set httpd-846d8d79dd to 1 Normal ScalingReplicaSet 58s deployment-controller Scaled down replica set httpd-55f56846f to 2 Normal ScalingReplicaSet 58s deployment-controller Scaled up replica set httpd-846d8d79dd to 2 Normal ScalingReplicaSet 53s deployment-controller Scaled down replica set httpd-55f56846f to 1 Normal ScalingReplicaSet 53s deployment-controller Scaled up replica set httpd-846d8d79dd to 3 Normal ScalingReplicaSet 48s deployment-controller Scaled down replica set httpd-55f56846f to 0 [root@*********************** httpd]# kubectl get rs NAME DESIRED CURRENT READY AGE httpd-55f56846f 0 0 0 3m49s httpd-846d8d79dd 3 3 3 2m14s -
回滚(–record)
apiVersion: apps/v1 kind: Deployment metadata: name: httpd spec: selector: matchLabels: run: httpd revisionHistoryLimit: 10 replicas: 3 template: metadata: labels: run: httpd spec: containers: - name: httpd image: httpd:2.4.16 imagePullPolicy: IfNotPresent ports: - containerPort: 80apiVersion: apps/v1 kind: Deployment metadata: name: httpd spec: selector: matchLabels: run: httpd revisionHistoryLimit: 10 replicas: 3 template: metadata: labels: run: httpd spec: containers: - name: httpd image: httpd:2.4.18 imagePullPolicy: IfNotPresent ports: - containerPort: 80[root@*********************** httpd]# kubectl apply -f httpd.v1.yaml --record deployment.apps/httpd created [root@*********************** httpd]# kubectl get deploy -o wide NAME READY UP-TO-DATE AVAILABLE AGE CONTAINERS IMAGES SELECTOR httpd 3/3 3 3 47s httpd httpd:2.4.16 run=httpd [root@*********************** httpd]# kubectl apply -f httpd.v2.yaml --record deployment.apps/httpd configured [root@*********************** httpd]# kubectl get deploy -o wide NAME READY UP-TO-DATE AVAILABLE AGE CONTAINERS IMAGES SELECTOR httpd 3/3 3 3 100s httpd httpd:2.4.18 run=httpd [root@*********************** httpd]# kubectl rollout history deployment httpd deployment.apps/httpd REVISION CHANGE-CAUSE 1 kubectl apply --filename=httpd.v1.yaml --record=true 2 kubectl apply --filename=httpd.v2.yaml --record=true -
进行回滚
[root@*********************** httpd]# kubectl rollout undo deployment httpd --to-revision=1 deployment.apps/httpd rolled back [root@*********************** httpd]# kubectl rollout history deployment httpd deployment.apps/httpd REVISION CHANGE-CAUSE 2 kubectl apply --filename=httpd.v2.yaml --record=true 3 kubectl apply --filename=httpd.v1.yaml --record=true
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