谷粒商城-官方笔记-分布式集群(4/4)

  • 个人笔记(新手级细节教程):

    https://blog.csdn.net/hancoder/article/details/106922139

  • 官方笔记-基础篇:https://blog.csdn.net/hancoder/article/details/107612619

  • 官方笔记-高级篇:https://blog.csdn.net/hancoder/article/details/107612746

  • 官方笔记-集群篇:https://blog.csdn.net/hancoder/article/details/107612802

  • 官方笔记下载地址:https://download.csdn.net/download/hancoder/12665396

文章目录

    • 1、K8s快速入门
      • 1)简介
      • 2)架构
        • (1)整体主从方式
        • (2)master节点架构
        • (3)Node节点架构
      • 3)概念
      • 4)快速体验
        • (1)安装minikube
        • (2)体验nginx部署升级
    • 2、K8s集群安装
      • 1)kubeadm
      • 2)前置要求
      • 3)部署步骤
      • 4)环境准备
        • (1)准备工作
        • (2)启动三个虚拟机
        • (3)设置Linux环境(三个节点都执行)
      • 5)所有节点安装docker、kubeadm、kubelet、kubectl
        • (1)安装Docker
        • (2)添加阿里与Yum源
        • (3)安装kubeadm,kubelet和kubectl
      • 6)部署k8s-master
        • (1)master节点初始化
        • (2)测试Kubectl(主节点执行)
      • 7)安装POD网络插件(CNI)
      • 8)加入kubenetes的Node节点
      • 9)入门操作kubernetes集群
    • 3、K8s细节
      • 1、kubectl文档
      • 2、资源类型
      • 3、格式化输出
        • 语法
          • 示例
      • 命令参考
      • service的意义
      • Ingress
    • 安装kubernetes可视化界面——DashBoard
    • kubesphere
      • 1、简洁
      • 2、安装前提提交
        • 1、安装helm(master节点执行)
        • 2、安装Tilller(Master执行)

1、K8s快速入门

1)简介

kubernetes简称k8s。是用于自动部署,扩展和管理容器化应用程序的开源系统。
中文官网:https://kubernetes.io/Zh/
中文社区:https://www.kubernetes.org.cn/
官方文档:https://kubernetes.io/zh/docs/home/
社区文档:https://docs.kubernetes.org.cn/

部署方式的进化:

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2)架构

(1)整体主从方式

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(2)master节点架构

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(3)Node节点架构

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3)概念

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4)快速体验

(1)安装minikube

https://github.com/kubernetes/minikube/releases
下载minikuber-windows-amd64.exe 改名为minikube.exe
打开virtualBox,打开cmd
运行
minikube start --vm-driver=virtualbox --registry-mirror=https://registry.docker-cn.com
等待20分钟即可。

(2)体验nginx部署升级

  1. 提交一个nginx deployment
    kubectl apply -f https://k8s.io/examples/application/deployment.yaml

  2. 升级 nginx deployment
    kubectl apply -f https://k8s.io/examples/application/deployment-update.yaml

  3. 扩容 nginx deployment

2、K8s集群安装

1)kubeadm

kubeadm是官方社区推出的一个用于快速部署kuberneters集群的工具。
这个工具能通过两条指令完成一个kuberneters集群的部署

创建一个master节点

$ kuberneters init

将一个node节点加入到当前集群中

$ kubeadm join 

2)前置要求

一台或多台机器,操作系统Centos7.x-86_x64
硬件配置:2GB或更多RAM,2个CPU或更多CPU,硬盘30GB或更多
集群中所有的机器之间网络互通
可以访问外网,需要拉取镜像
禁止Swap分区

3)部署步骤

  1. 在所有的节点上安装Docker和kubeadm
  2. 不是Kubernetes Master
  3. 部署容器网络插件
  4. 部署Kubernetes Node,将节点加入Kubernetes集群中
  5. 部署DashBoard web页面,可视化查看Kubernetes资源

谷粒商城-官方笔记-分布式集群(4/4)_第17张图片

4)环境准备

(1)准备工作

  • 我们可以使用vagrant快速创建三个虚拟机。虚拟机启动前先设置virtualbox的主机网络。现在全部统一为192.168.56.1,以后所有虚拟机都是56.x的ip地址。

谷粒商城-官方笔记-分布式集群(4/4)_第18张图片

  • 在全局设定中,找到一个空间比较大的磁盘用用来存放镜像。

谷粒商城-官方笔记-分布式集群(4/4)_第19张图片

(2)启动三个虚拟机

  • 使用我们提供的vagrant文件,复制到非中文无空格目录下,运行vagrant up启动三个虚拟机。其实vagrant完全可以一键部署全部K8s集群
    https://github.com/rootsongjc/kubernetes-vagrant-centos-cluster
    http://github.com/davidkbainbridge/k8s-playground

下面是vagrantfile,使用它来创建三个虚拟机,分别为k8s-node1,k8s-node2和k8s-node3.

Vagrant.configure("2") do |config|
   (1..3).each do |i|
        config.vm.define "k8s-node#{i}" do |node|
            # 设置虚拟机的Box
            node.vm.box = "centos/7"

            # 设置虚拟机的主机名
            node.vm.hostname="k8s-node#{i}"

            # 设置虚拟机的IP
            node.vm.network "private_network", ip: "192.168.56.#{99+i}", netmask: "255.255.255.0"

            # 设置主机与虚拟机的共享目录
            # node.vm.synced_folder "~/Documents/vagrant/share", "/home/vagrant/share"

            # VirtaulBox相关配置
            node.vm.provider "virtualbox" do |v|
                # 设置虚拟机的名称
                v.name = "k8s-node#{i}"
                # 设置虚拟机的内存大小
                v.memory = 4096
                # 设置虚拟机的CPU个数
                v.cpus = 4
            end
        end
   end
end
  • 进入到三个虚拟机,开启root的密码访问权限
Vagrant ssh xxx进入到系统后

su root 密码为vagrant

vi /etc/ssh/sshd_config

修改
PermitRootLogin yes 
PasswordAuthentication yes

所有的虚拟机设为4核4G

关于在"网络地址转换"的连接方式下,三个节点的eth0,IP地址相同的问题。

**问题描述:**查看k8s-node1的路由表:

[root@k8s-node1 ~]# ip route show
default via 10.0.2.2 dev eth0 proto dhcp metric 100 
10.0.2.0/24 dev eth0 proto kernel scope link src 10.0.2.15 metric 100 
192.168.56.0/24 dev eth1 proto kernel scope link src 192.168.56.100 metric 101 
[root@k8s-node1 ~

能够看到路由表中记录的是,通过端口eth0进行数据包的收发。

分别查看k8s-node1,k8s-node2和k8s-node3的eth0所绑定的IP地址,发现它们都是相同的,全都是10.0.2.15,这些地址是供kubernetes集群通信用的,区别于eth1上的IP地址,是通远程管理使用的。

[root@k8s-node1 ~]# ip addr
...
2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP group default qlen 1000
    link/ether 52:54:00:8a:fe:e6 brd ff:ff:ff:ff:ff:ff
    inet 10.0.2.15/24 brd 10.0.2.255 scope global noprefixroute dynamic eth0
       valid_lft 84418sec preferred_lft 84418sec
    inet6 fe80::5054:ff:fe8a:fee6/64 scope link 
       valid_lft forever preferred_lft forever
3: eth1: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP group default qlen 1000
    link/ether 08:00:27:a3:ca:c0 brd ff:ff:ff:ff:ff:ff
    inet 192.168.56.100/24 brd 192.168.56.255 scope global noprefixroute eth1
       valid_lft forever preferred_lft forever
    inet6 fe80::a00:27ff:fea3:cac0/64 scope link 
       valid_lft forever preferred_lft forever
[root@k8s-node1 ~]# 

**原因分析:**这是因为它们使用是端口转发规则,使用同一个地址,通过不同的端口来区分。但是这种端口转发规则在以后的使用中会产生很多不必要的问题,所以需要修改为NAT网络类型。

谷粒商城-官方笔记-分布式集群(4/4)_第20张图片

解决方法:

  • 选择三个节点,然后执行“管理”->“全局设定”->“网络”,添加一个NAT网络。
谷粒商城-官方笔记-分布式集群(4/4)_第21张图片
  • 分别修改每台设备的网络类型,并刷新重新生成MAC地址。
谷粒商城-官方笔记-分布式集群(4/4)_第22张图片
  • 再次查看三个节点的IP
谷粒商城-官方笔记-分布式集群(4/4)_第23张图片

(3)设置Linux环境(三个节点都执行)

  • 关闭防火墙
systemctl stop firewalld
systemctl disable firewalld
  • 关闭Linux
sed -i 's/enforcing/disabled/' /etc/selinux/config
setenforce 0
  • 关闭swap
swapoff -a #临时关闭
sed -ri 's/.*swap.*/#&/' /etc/fstab #永久关闭
free -g #验证,swap必须为0
  • 添加主机名与IP对应关系:

查看主机名:

hostname

如果主机名不正确,可以通过“hostnamectl set-hostname :指定新的hostname”命令来进行修改。

vi /etc/hosts
10.0.2.15 k8s-node1
10.0.2.4 k8s-node2
10.0.2.5 k8s-node3

将桥接的IPV4流量传递到iptables的链:

cat > /etc/sysctl.d/k8s.conf <<EOF

net.bridge.bridge-nf-call-ip6tables = 1

net.bridge.bridge-nf-call-iptables = 1

EOF

应用规则:

sysctl --system

疑难问题:遇见提示是只读的文件系统,运行如下命令

mount -o remount rw /
  • date 查看时间(可选)
yum -y install ntpupdate

ntpupdate time.window.com #同步最新时间

5)所有节点安装docker、kubeadm、kubelet、kubectl

Kubenetes默认CRI(容器运行时)为Docker,因此先安装Docker。

(1)安装Docker

1、卸载之前的docker

$ sudo yum remove docker \
                  docker-client \
                  docker-client-latest \
                  docker-common \
                  docker-latest \
                  docker-latest-logrotate \
                  docker-logrotate \
                  docker-engine

2、安装Docker -CE

$ sudo yum install -y yum-utils

$ sudo yum-config-manager \
    --add-repo \
    https://download.docker.com/linux/centos/docker-ce.repo
    
$ sudo yum -y install docker-ce docker-ce-cli containerd.io   

3、配置镜像加速

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://ke9h1pt4.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

4、启动Docker && 设置docker开机启动

systemctl enable docker

基础环境准备好,可以给三个虚拟机备份一下;

谷粒商城-官方笔记-分布式集群(4/4)_第24张图片

(2)添加阿里与Yum源

cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF

更多详情见: https://developer.aliyun.com/mirror/kubernetes

(3)安装kubeadm,kubelet和kubectl

yum list|grep kube

安装

yum install -y kubelet-1.17.3 kubeadm-1.17.3 kubectl-1.17.3

开机启动

systemctl enable kubelet && systemctl start kubelet

查看kubelet的状态:

systemctl status kubelet

查看kubelet版本:

[root@k8s-node2 ~]# kubelet --version
Kubernetes v1.17.3

6)部署k8s-master

(1)master节点初始化

在Master节点上,创建并执行master_images.sh

#!/bin/bash

images=(
	kube-apiserver:v1.17.3
    kube-proxy:v1.17.3
	kube-controller-manager:v1.17.3
	kube-scheduler:v1.17.3
	coredns:1.6.5
	etcd:3.4.3-0
    pause:3.1
)

for imageName in ${images[@]} ; do
    docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName
#   docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName  k8s.gcr.io/$imageName
done

初始化kubeadm

$ kubeadm init \
--apiserver-advertise-address=10.0.2.15 \
--image-repository registry.cn-hangzhou.aliyuncs.com/google_containers \
--kubernetes-version   v1.17.3 \
--service-cidr=10.96.0.0/16  \
--pod-network-cidr=10.244.0.0/16

注:

  • –apiserver-advertise-address=10.0.2.21 :这里的IP地址是master主机的地址,为上面的eth0网卡的地址;

执行结果:

[root@k8s-node1 opt]# kubeadm init \
> --apiserver-advertise-address=10.0.2.15 \
> --image-repository registry.cn-hangzhou.aliyuncs.com/google_containers \
> --kubernetes-version   v1.17.3 \
> --service-cidr=10.96.0.0/16  \
> --pod-network-cidr=10.244.0.0/16
W0503 14:07:12.594252   10124 configset.go:202] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io]
[init] Using Kubernetes version: v1.17.3
[preflight] Running pre-flight checks
        [WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
[preflight] Pulling images required for setting up a Kubernetes cluster
[preflight] This might take a minute or two, depending on the speed of your internet connection
[preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Starting the kubelet
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [k8s-node1 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 10.0.2.15]
[certs] Generating "apiserver-kubelet-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-client" certificate and key
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [k8s-node1 localhost] and IPs [10.0.2.15 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-node1 localhost] and IPs [10.0.2.15 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "sa" key and public key
[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[control-plane] Using manifest folder "/etc/kubernetes/manifests"
[control-plane] Creating static Pod manifest for "kube-apiserver"
[control-plane] Creating static Pod manifest for "kube-controller-manager"
W0503 14:07:30.908642   10124 manifests.go:225] the default kube-apiserver authorization-mode is "Node,RBAC"; using "Node,RBAC"
[control-plane] Creating static Pod manifest for "kube-scheduler"
W0503 14:07:30.911330   10124 manifests.go:225] the default kube-apiserver authorization-mode is "Node,RBAC"; using "Node,RBAC"
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
[apiclient] All control plane components are healthy after 22.506521 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.18" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node k8s-node1 as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node k8s-node1 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: sg47f3.4asffoi6ijb8ljhq
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to get nodes
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstrap-token] configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxy
#表示kubernetes已经初始化成功了
Your Kubernetes control-plane has initialized successfully!

To start using your cluster, you need to run the following as a regular user:

  mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
  https://kubernetes.io/docs/concepts/cluster-administration/addons/

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 10.0.2.15:6443 --token sg47f3.4asffoi6ijb8ljhq \
    --discovery-token-ca-cert-hash sha256:81fccdd29970cbc1b7dc7f171ac0234d53825bdf9b05428fc9e6767436991bfb 
[root@k8s-node1 opt]# 

由于默认拉取镜像地址k8s.cr.io国内无法访问,这里指定阿里云仓库地址。可以手动按照我们的images.sh先拉取镜像。

地址变为:registry.aliyuncs.com/googole_containers也可以。
科普:无类别域间路由(Classless Inter-Domain Routing 、CIDR)是一个用于给用户分配IP地址以及在互联网上有效第路由IP数据包的对IP地址进行归类的方法。
拉取可能失败,需要下载镜像。

运行完成提前复制:加入集群的令牌。

(2)测试Kubectl(主节点执行)

mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

详细部署文档:https://kubernetes.io/docs/concepts/cluster-administration/addons/

$ kubectl get nodes #获取所有节点

目前Master状态为notready。等待网络加入完成即可。

$ journalctl -u kubelet #查看kubelet日志
kubeadm join 10.0.2.15:6443 --token sg47f3.4asffoi6ijb8ljhq \
    --discovery-token-ca-cert-hash sha256:81fccdd29970cbc1b7dc7f171ac0234d53825bdf9b05428fc9e6767436991bfb 

7)安装POD网络插件(CNI)

在master节点上执行按照POD网络插件

kubectl apply -f \
https://raw.githubusercontent.com/coreos/flanne/master/Documentation/kube-flannel.yml

以上地址可能被墙,可以直接获取本地已经下载的flannel.yml运行即可,如:

[root@k8s-node1 k8s]# kubectl apply -f  kube-flannel.yml    
podsecuritypolicy.policy/psp.flannel.unprivileged created
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.apps/kube-flannel-ds-amd64 created
daemonset.apps/kube-flannel-ds-arm64 created
daemonset.apps/kube-flannel-ds-arm created
daemonset.apps/kube-flannel-ds-ppc64le created
daemonset.apps/kube-flannel-ds-s390x created
[root@k8s-node1 k8s]#

同时flannel.yml中指定的images访问不到可以去docker hub找一个wget yml地址
vi 修改yml 所有amd64的地址修改了即可
等待大约3分钟
kubectl get pods -n kube-system 查看指定名称空间的pods
kubectl get pods -all-namespace 查看所有名称空间的pods

$ ip link set cni0 down 如果网络出现问题,关闭cni0,重启虚拟机继续测试
执行watch kubectl get pod -n kube-system -o wide 监控pod进度
等待3-10分钟,完全都是running以后继续

查看命名空间:

[root@k8s-node1 k8s]# kubectl get ns
NAME              STATUS   AGE
default           Active   30m
kube-node-lease   Active   30m
kube-public       Active   30m
kube-system       Active   30m
[root@k8s-node1 k8s]#
[root@k8s-node1 k8s]# kubectl get pods --all-namespaces       
NAMESPACE     NAME                                READY   STATUS    RESTARTS   AGE
kube-system   coredns-546565776c-9sbmk            0/1     Pending   0          31m
kube-system   coredns-546565776c-t68mr            0/1     Pending   0          31m
kube-system   etcd-k8s-node1                      1/1     Running   0          31m
kube-system   kube-apiserver-k8s-node1            1/1     Running   0          31m
kube-system   kube-controller-manager-k8s-node1   1/1     Running   0          31m
kube-system   kube-flannel-ds-amd64-6xwth         1/1     Running   0          2m50s
kube-system   kube-proxy-sz2vz                    1/1     Running   0          31m
kube-system   kube-scheduler-k8s-node1            1/1     Running   0          31m
[root@k8s-node1 k8s]# 

查看master上的节点信息:

[root@k8s-node1 k8s]# kubectl get nodes
NAME        STATUS   ROLES    AGE   VERSION
k8s-node1   Ready    master   34m   v1.17.3   #status为ready才能够执行下面的命令
[root@k8s-node1 k8s]#

最后再次执行,并且分别在“k8s-node2”和“k8s-node3”上也执行这里命令:

kubeadm join 10.0.2.15:6443 --token sg47f3.4asffoi6ijb8ljhq \
    --discovery-token-ca-cert-hash sha256:81fccdd29970cbc1b7dc7f171ac0234d53825bdf9b05428fc9e6767436991bfb 
[root@k8s-node1 opt]# kubectl get nodes;
NAME        STATUS     ROLES    AGE   VERSION
k8s-node1   Ready      master   47m   v1.17.3
k8s-node2   NotReady   <none>   75s   v1.17.3
k8s-node3   NotReady   <none>   76s   v1.17.3
[root@k8s-node1 opt]# 

监控pod进度

watch kubectl get pod -n kube-system -o wide

等到所有的status都变为running状态后,再次查看节点信息:

[root@k8s-node1 ~]#  kubectl get nodes;                         
NAME        STATUS   ROLES    AGE     VERSION
k8s-node1   Ready    master   3h50m   v1.17.3
k8s-node2   Ready    <none>   3h3m    v1.17.3
k8s-node3   Ready    <none>   3h3m    v1.17.3
[root@k8s-node1 ~]# 

8)加入kubenetes的Node节点

在node节点中执行,向集群中添加新的节点,执行在kubeadm init 输出的kubeadm join命令;
确保node节点成功:
token过期怎么办
kubeadm token create --print-join-command

9)入门操作kubernetes集群

1、在主节点上部署一个tomcat

kubectl create deployment tomcat6 --image=tomcat:6.0.53-jre8

获取所有的资源:

[root@k8s-node1 k8s]# kubectl get all
NAME                           READY   STATUS              RESTARTS   AGE
pod/tomcat6-7b84fb5fdc-cfd8g   0/1     ContainerCreating   0          41s

NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE
service/kubernetes   ClusterIP   10.96.0.1    <none>        443/TCP   70m

NAME                      READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/tomcat6   0/1     1            0           41s

NAME                                 DESIRED   CURRENT   READY   AGE
replicaset.apps/tomcat6-7b84fb5fdc   1         1         0       41s
[root@k8s-node1 k8s]# 

kubectl get pods -o wide 可以获取到tomcat部署信息,能够看到它被部署到了k8s-node2上了

[root@k8s-node1 k8s]# kubectl get all -o wide
NAME                           READY   STATUS    RESTARTS   AGE    IP           NODE        NOMINATED NODE   READINESS GATES
pod/tomcat6-7b84fb5fdc-cfd8g   1/1     Running   0          114s   10.244.2.2   k8s-node2   <none>           <none>

NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE   SELECTOR
service/kubernetes   ClusterIP   10.96.0.1    <none>        443/TCP   71m   <none>

NAME                      READY   UP-TO-DATE   AVAILABLE   AGE    CONTAINERS   IMAGES               SELECTOR
deployment.apps/tomcat6   1/1     1            1           114s   tomcat       tomcat:6.0.53-jre8   app=tomcat6

NAME                                 DESIRED   CURRENT   READY   AGE    CONTAINERS   IMAGES               SELECTOR
replicaset.apps/tomcat6-7b84fb5fdc   1         1         1       114s   tomcat       tomcat:6.0.53-jre8   app=tomcat6,pod-template-hash=7b84fb5fdc
[root@k8s-node1 k8s]# 

查看node2节点上,下载了哪些镜像:

[root@k8s-node2 opt]# docker images
REPOSITORY                                                       TAG                 IMAGE ID            CREATED             SIZE
registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy   v1.17.3             0d40868643c6        2 weeks ago         117MB
registry.cn-hangzhou.aliyuncs.com/google_containers/pause        3.2                 80d28bedfe5d        2 months ago        683kB
quay.io/coreos/flannel                                           v0.11.0-amd64       ff281650a721        15 months ago       52.6MB
tomcat                                                           6.0.53-jre8         49ab0583115a        2 years ago         290MB
[root@k8s-node2 opt]# 

查看Node2节点上,正在运行的容器:

[root@k8s-node2 opt]# docker ps
CONTAINER ID        IMAGE                                                            COMMAND                  CREATED             STATUS              PORTS               NAMES
9194cc4f0b7a        tomcat                                                           "catalina.sh run"        2 minutes ago       Up 2 minutes                            k8s_tomcat_tomcat6-7b84fb5fdc-cfd8g_default_0c9ebba2-992d-4c0e-99ef-3c4c3294bc59_0
f44af0c7c345        registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2    "/pause"                 3 minutes ago       Up 3 minutes                            k8s_POD_tomcat6-7b84fb5fdc-cfd8g_default_0c9ebba2-992d-4c0e-99ef-3c4c3294bc59_0
ef74c90491e4        ff281650a721                                                     "/opt/bin/flanneld -…"   20 minutes ago      Up 20 minutes                           k8s_kube-flannel_kube-flannel-ds-amd64-5xs5j_kube-system_11a94346-316d-470b-9668-c15ce183abec_0
c8a524e5a193        registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy   "/usr/local/bin/kube…"   25 minutes ago      Up 25 minutes                           k8s_kube-proxy_kube-proxy-mvlnk_kube-system_519de79a-e8d8-4b1c-a74e-94634cebabce_0
4590685c519a        registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2    "/pause"                 26 minutes ago      Up 26 minutes                           k8s_POD_kube-flannel-ds-amd64-5xs5j_kube-system_11a94346-316d-470b-9668-c15ce183abec_0
54e00af5cde4        registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2    "/pause"                 26 minutes ago      Up 26 minutes                           k8s_POD_kube-proxy-mvlnk_kube-system_519de79a-e8d8-4b1c-a74e-94634cebabce_0
[root@k8s-node2 opt]# 

在node1上执行:

[root@k8s-node1 k8s]# kubectl get pods
NAME                       READY   STATUS    RESTARTS   AGE
tomcat6-7b84fb5fdc-cfd8g   1/1     Running   0          5m35s

[root@k8s-node1 k8s]# kubectl get pods --all-namespaces
NAMESPACE     NAME                                READY   STATUS    RESTARTS   AGE
default       tomcat6-7b84fb5fdc-cfd8g            1/1     Running   0          163m
kube-system   coredns-546565776c-9sbmk            1/1     Running   0          3h52m
kube-system   coredns-546565776c-t68mr            1/1     Running   0          3h52m
kube-system   etcd-k8s-node1                      1/1     Running   0          3h52m
kube-system   kube-apiserver-k8s-node1            1/1     Running   0          3h52m
kube-system   kube-controller-manager-k8s-node1   1/1     Running   0          3h52m
kube-system   kube-flannel-ds-amd64-5xs5j         1/1     Running   0          3h6m
kube-system   kube-flannel-ds-amd64-6xwth         1/1     Running   0          3h24m
kube-system   kube-flannel-ds-amd64-fvnvx         1/1     Running   0          3h6m
kube-system   kube-proxy-7tkvl                    1/1     Running   0          3h6m
kube-system   kube-proxy-mvlnk                    1/1     Running   0          3h6m
kube-system   kube-proxy-sz2vz                    1/1     Running   0          3h52m
kube-system   kube-scheduler-k8s-node1            1/1     Running   0          3h52m
[root@k8s-node1 ~]# 

从前面看到tomcat部署在Node2上,现在模拟因为各种原因宕机的情况,将node2关闭电源,观察情况。

[root@k8s-node1 ~]# kubectl get nodes
NAME        STATUS     ROLES    AGE     VERSION
k8s-node1   Ready      master   4h4m    v1.17.3
k8s-node2   NotReady   <none>   3h18m   v1.17.3
k8s-node3   Ready      <none>   3h18m   v1.17.3
[root@k8s-node1 ~]# 
[root@k8s-node1 ~]# kubectl get pods -o wide
NAME                       READY   STATUS    RESTARTS   AGE    IP           NODE        NOMINATED NODE   READINESS GATES
tomcat6-7b84fb5fdc-cfd8g   1/1     Running   0          177m   10.244.2.2   k8s-node2   <none>           <none>
[root@k8s-node1 ~]# 

image-20200504104925236

2、暴露nginx访问

在master上执行

kubectl expose deployment tomcat6 --port=80 --target-port=8080 --type=NodePort 

pod的80映射容器的8080;server会带来pod的80

查看服务:

[root@k8s-node1 ~]# kubectl get svc
NAME         TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
kubernetes   ClusterIP   10.96.0.1      <none>        443/TCP        12h
tomcat6      NodePort    10.96.24.191   <none>        80:30526/TCP   49s
[root@k8s-node1 ~]# 
[root@k8s-node1 ~]# kubectl get svc -o wide
NAME         TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE     SELECTOR
kubernetes   ClusterIP   10.96.0.1      <none>        443/TCP        12h     <none>
tomcat6      NodePort    10.96.24.191   <none>        80:30526/TCP   3m30s   app=tomcat6
[root@k8s-node1 ~]# 

http://192.168.56.100:30526/

谷粒商城-官方笔记-分布式集群(4/4)_第25张图片

[root@k8s-node1 ~]# kubectl get all
NAME                           READY   STATUS    RESTARTS   AGE
pod/tomcat6-7b84fb5fdc-qt5jm   1/1     Running   0          13m

NAME                 TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
service/kubernetes   ClusterIP   10.96.0.1      <none>        443/TCP        12h
service/tomcat6      NodePort    10.96.24.191   <none>        80:30526/TCP   9m50s

NAME                      READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/tomcat6   1/1     1            1           11h

NAME                                 DESIRED   CURRENT   READY   AGE
replicaset.apps/tomcat6-7b84fb5fdc   1         1         1       11h
[root@k8s-node1 ~]#

3、动态扩容测试

kubectl get deployment

[root@k8s-node1 ~]# kubectl get deployment
NAME      READY   UP-TO-DATE   AVAILABLE   AGE
tomcat6   2/2     2            2           11h
[root@k8s-node1 ~]# 

应用升级: kubectl set image (–help查看帮助)
扩容:kubectl scale --replicas=3 deployment tomcat6

[root@k8s-node1 ~]# kubectl scale --replicas=3 deployment tomcat6
deployment.apps/tomcat6 scaled
[root@k8s-node1 ~]# 

[root@k8s-node1 ~]# kubectl get pods -o wide
NAME                       READY   STATUS    RESTARTS   AGE   IP           NODE        NOMINATED NODE   READINESS GATES
tomcat6-7b84fb5fdc-hdgmc   1/1     Running   0          61s   10.244.2.5   k8s-node2   <none>           <none>
tomcat6-7b84fb5fdc-qt5jm   1/1     Running   0          19m   10.244.1.2   k8s-node3   <none>           <none>
tomcat6-7b84fb5fdc-vlrh6   1/1     Running   0          61s   10.244.2.4   k8s-node2   <none>           <none>
[root@k8s-node1 ~]# kubectl get svc -o wide    
NAME         TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE   SELECTOR
kubernetes   ClusterIP   10.96.0.1      <none>        443/TCP        13h   <none>
tomcat6      NodePort    10.96.24.191   <none>        80:30526/TCP   16m   app=tomcat6
[root@k8s-node1 ~]#

扩容了多份,所有无论访问哪个node的指定端口,都可以访问到tomcat6

http://192.168.56.101:30526/

谷粒商城-官方笔记-分布式集群(4/4)_第26张图片

http://192.168.56.102:30526/

谷粒商城-官方笔记-分布式集群(4/4)_第27张图片

缩容:kubectl scale --replicas=2 deployment tomcat6

[root@k8s-node1 ~]#  kubectl scale --replicas=2 deployment tomcat6
deployment.apps/tomcat6 scaled
[root@k8s-node1 ~]# kubectl get pods -o wide                       
NAME                       READY   STATUS        RESTARTS   AGE     IP           NODE        NOMINATED NODE   READINESS GATES
tomcat6-7b84fb5fdc-hdgmc   0/1     Terminating   0          4m47s          k8s-node2              
tomcat6-7b84fb5fdc-qt5jm   1/1     Running       0          22m     10.244.1.2   k8s-node3              
tomcat6-7b84fb5fdc-vlrh6   1/1     Running       0          4m47s   10.244.2.4   k8s-node2              
[root@k8s-node1 ~]# 

4、以上操作的yaml获取
参照k8s细节

5、删除
kubectl get all

#查看所有资源
[root@k8s-node1 ~]# kubectl get all
NAME                           READY   STATUS    RESTARTS   AGE
pod/tomcat6-7b84fb5fdc-qt5jm   1/1     Running   0          26m
pod/tomcat6-7b84fb5fdc-vlrh6   1/1     Running   0          8m16s

NAME                 TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
service/kubernetes   ClusterIP   10.96.0.1      <none>        443/TCP        13h
service/tomcat6      NodePort    10.96.24.191   <none>        80:30526/TCP   22m

NAME                      READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/tomcat6   2/2     2            2           11h

NAME                                 DESIRED   CURRENT   READY   AGE
replicaset.apps/tomcat6-7b84fb5fdc   2         2         2       11h
[root@k8s-node1 ~]#
#删除deployment.apps/tomcat6 
[root@k8s-node1 ~]# kubectl delete  deployment.apps/tomcat6 
deployment.apps "tomcat6" deleted

#查看剩余的资源
[root@k8s-node1 ~]# kubectl get all   
NAME                 TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
service/kubernetes   ClusterIP   10.96.0.1      <none>        443/TCP        13h
service/tomcat6      NodePort    10.96.24.191   <none>        80:30526/TCP   30m
[root@k8s-node1 ~]# 
[root@k8s-node1 ~]#
#删除service/tomcat6 
[root@k8s-node1 ~]# kubectl delete service/tomcat6  
service "tomcat6" deleted
[root@k8s-node1 ~]# kubectl get all
NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE
service/kubernetes   ClusterIP   10.96.0.1    <none>        443/TCP   13h
[root@k8s-node1 ~]#

kubectl delete deploye/nginx
kubectl delete service/nginx-service

3、K8s细节

1、kubectl文档

​ https://kubernetes.io/zh/docs/reference/kubectl/overview/

2、资源类型

https://kubernetes.io/zh/docs/reference/kubectl/overview/#%e8%b5%84%e6%ba%90%e7%b1%bb%e5%9e%8b

3、格式化输出

https://kubernetes.io/zh/docs/reference/kubectl/overview/

所有 kubectl 命令的默认输出格式都是人类可读的纯文本格式。要以特定格式向终端窗口输出详细信息,可以将 -o--output 参数添加到受支持的 kubectl 命令中。

语法

kubectl [command] [TYPE] [NAME] -o=<output_format>

根据 kubectl 操作,支持以下输出格式:

Output format Description
-o custom-columns= 使用逗号分隔的自定义列列表打印表。
-o custom-columns-file= 使用 `` 文件中的自定义列模板打印表。
-o json 输出 JSON 格式的 API 对象
`-o jsonpath= 打印 jsonpath 表达式定义的字段
-o jsonpath-file= 打印 `` 文件中 jsonpath 表达式定义的字段。
-o name 仅打印资源名称而不打印任何其他内容。
-o wide 以纯文本格式输出,包含任何附加信息。对于 pod 包含节点名。
-o yaml 输出 YAML 格式的 API 对象。
示例

在此示例中,以下命令将单个 pod 的详细信息输出为 YAML 格式的对象:

kubectl get pod web-pod-13je7 -o yaml

请记住:有关每个命令支持哪种输出格式的详细信息,请参阅 kubectl 参考文档。

–dry-run:

–dry-run=‘none’: Must be “none”, “server”, or “client”. If client strategy, only print the object that would be

sent, without sending it. If server strategy, submit server-side request without persisting the resource.

值必须为none,server或client。如果是客户端策略,则只打印该发送对象,但不发送它。如果服务器策略,提交服务器端请求而不持久化资源。

也就是说,通过–dry-run选项,并不会真正的执行这条命令。

[root@k8s-node1 ~]# kubectl create deployment tomcat6 --image=tomcat:6.0.53-jre8 --dry-run -o yaml
W0504 03:39:08.389369    8107 helpers.go:535] --dry-run is deprecated and can be replaced with --dry-run=client.
apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  labels:
    app: tomcat6
  name: tomcat6
spec:
  replicas: 1
  selector:
    matchLabels:
      app: tomcat6
  strategy: {}
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: tomcat6
    spec:
      containers:
      - image: tomcat:6.0.53-jre8
        name: tomcat
        resources: {}
status: {}
[root@k8s-node1 ~]# 

实际上我们也可以将这个yaml输出到文件,然后使用kubectl apply -f来应用它

#输出到tomcat6.yaml 
[root@k8s-node1 ~]# kubectl create deployment tomcat6 --image=tomcat:6.0.53-jre8 --dry-run -o yaml >tomcat6.yaml
W0504 03:46:18.180366   11151 helpers.go:535] --dry-run is deprecated and can be replaced with --dry-run=client.

#修改副本数为3
[root@k8s-node1 ~]# cat tomcat6.yaml 
apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  labels:
    app: tomcat6
  name: tomcat6
spec:
  replicas: 3     #修改副本数为3
  selector:
    matchLabels:
      app: tomcat6
  strategy: {}
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: tomcat6
    spec:
      containers:
      - image: tomcat:6.0.53-jre8
        name: tomcat
        resources: {}
status: {}

#应用tomcat6.yaml 
[root@k8s-node1 ~]# kubectl apply -f tomcat6.yaml 
deployment.apps/tomcat6 created
[root@k8s-node1 ~]# 

查看pods:

[root@k8s-node1 ~]# kubectl get pods  
NAME                       READY   STATUS    RESTARTS   AGE
tomcat6-7b84fb5fdc-5jh6t   1/1     Running   0          8s
tomcat6-7b84fb5fdc-8lhwv   1/1     Running   0          8s
tomcat6-7b84fb5fdc-j4qmh   1/1     Running   0          8s
[root@k8s-node1 ~]#

查看某个pod的具体信息:

[root@k8s-node1 ~]# kubectl get pods tomcat6-7b84fb5fdc-5jh6t  -o yaml
apiVersion: v1
kind: Pod
metadata:
  creationTimestamp: "2020-05-04T03:50:47Z"
  generateName: tomcat6-7b84fb5fdc-
  labels:
    app: tomcat6
    pod-template-hash: 7b84fb5fdc
  managedFields:
  - apiVersion: v1
    fieldsType: FieldsV1
    fieldsV1:
      f:metadata:
        f:generateName: {}
        f:labels:
          .: {}
          f:app: {}
          f:pod-template-hash: {}
        f:ownerReferences:
          .: {}
          k:{"uid":"292bfe3b-dd63-442e-95ce-c796ab5bdcc1"}:
            .: {}
            f:apiVersion: {}
            f:blockOwnerDeletion: {}
            f:controller: {}
            f:kind: {}
            f:name: {}
            f:uid: {}
      f:spec:
        f:containers:
          k:{"name":"tomcat"}:
            .: {}
            f:image: {}
            f:imagePullPolicy: {}
            f:name: {}
            f:resources: {}
            f:terminationMessagePath: {}
            f:terminationMessagePolicy: {}
        f:dnsPolicy: {}
        f:enableServiceLinks: {}
        f:restartPolicy: {}
        f:schedulerName: {}
        f:securityContext: {}
        f:terminationGracePeriodSeconds: {}
    manager: kube-controller-manager
    operation: Update
    time: "2020-05-04T03:50:47Z"
  - apiVersion: v1
    fieldsType: FieldsV1
    fieldsV1:
      f:status:
        f:conditions:
          k:{"type":"ContainersReady"}:
            .: {}
            f:lastProbeTime: {}
            f:lastTransitionTime: {}
            f:status: {}
            f:type: {}
          k:{"type":"Initialized"}:
            .: {}
            f:lastProbeTime: {}
            f:lastTransitionTime: {}
            f:status: {}
            f:type: {}
          k:{"type":"Ready"}:
            .: {}
            f:lastProbeTime: {}
            f:lastTransitionTime: {}
            f:status: {}
            f:type: {}
        f:containerStatuses: {}
        f:hostIP: {}
        f:phase: {}
        f:podIP: {}
        f:podIPs:
          .: {}
          k:{"ip":"10.244.2.7"}:
            .: {}
            f:ip: {}
        f:startTime: {}
    manager: kubelet
    operation: Update
    time: "2020-05-04T03:50:49Z"
  name: tomcat6-7b84fb5fdc-5jh6t
  namespace: default
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: ReplicaSet
    name: tomcat6-7b84fb5fdc
    uid: 292bfe3b-dd63-442e-95ce-c796ab5bdcc1
  resourceVersion: "46229"
  selfLink: /api/v1/namespaces/default/pods/tomcat6-7b84fb5fdc-5jh6t
  uid: 2f661212-3b03-47e4-bcb8-79782d5c7578
spec:
  containers:
  - image: tomcat:6.0.53-jre8
    imagePullPolicy: IfNotPresent
    name: tomcat
    resources: {}
    terminationMessagePath: /dev/termination-log
    terminationMessagePolicy: File
    volumeMounts:
    - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
      name: default-token-bxqtw
      readOnly: true
  dnsPolicy: ClusterFirst
  enableServiceLinks: true
  nodeName: k8s-node2
  priority: 0
  restartPolicy: Always
  schedulerName: default-scheduler
  securityContext: {}
  serviceAccount: default
  serviceAccountName: default
  terminationGracePeriodSeconds: 30
  tolerations:
  - effect: NoExecute
    key: node.kubernetes.io/not-ready
    operator: Exists
    tolerationSeconds: 300
  - effect: NoExecute
    key: node.kubernetes.io/unreachable
    operator: Exists
    tolerationSeconds: 300
  volumes:
  - name: default-token-bxqtw
    secret:
      defaultMode: 420
      secretName: default-token-bxqtw
status:
  conditions:
  - lastProbeTime: null
    lastTransitionTime: "2020-05-04T03:50:47Z"
    status: "True"
    type: Initialized
  - lastProbeTime: null
    lastTransitionTime: "2020-05-04T03:50:49Z"
    status: "True"
    type: Ready
  - lastProbeTime: null
    lastTransitionTime: "2020-05-04T03:50:49Z"
    status: "True"
    type: ContainersReady
  - lastProbeTime: null
    lastTransitionTime: "2020-05-04T03:50:47Z"
    status: "True"
    type: PodScheduled
  containerStatuses:
  - containerID: docker://18eb0798384ea44ff68712cda9be94b6fb96265206c554a15cee28c288879304
    image: tomcat:6.0.53-jre8
    imageID: docker-pullable://tomcat@sha256:8c643303012290f89c6f6852fa133b7c36ea6fbb8eb8b8c9588a432beb24dc5d
    lastState: {}
    name: tomcat
    ready: true
    restartCount: 0
    started: true
    state:
      running:
        startedAt: "2020-05-04T03:50:49Z"
  hostIP: 10.0.2.4
  phase: Running
  podIP: 10.244.2.7
  podIPs:
  - ip: 10.244.2.7
  qosClass: BestEffort
  startTime: "2020-05-04T03:50:47Z"

命令参考

谷粒商城-官方笔记-分布式集群(4/4)_第28张图片

service的意义

谷粒商城-官方笔记-分布式集群(4/4)_第29张图片

前面我们通过命令行的方式,部署和暴露了tomcat,实际上也可以通过yaml的方式来完成这些操作。

#这些操作实际上是为了获取Deployment的yaml模板
[root@k8s-node1 ~]#  kubectl create deployment tomcat6 --image=tomcat:6.0.53-jre8 --dry-run -o yaml >tomcat6-deployment.yaml
W0504 04:13:28.265432   24263 helpers.go:535] --dry-run is deprecated and can be replaced with --dry-run=client.
[root@k8s-node1 ~]# ls tomcat6-deployment.yaml
tomcat6-deployment.yaml
[root@k8s-node1 ~]# 

修改“tomcat6-deployment.yaml”内容如下:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: tomcat6
  name: tomcat6
spec:
  replicas: 3
  selector:
    matchLabels:
      app: tomcat6
  template:
    metadata: 
      labels:
        app: tomcat6
    spec:
      containers:
      - image: tomcat:6.0.53-jre8
        name: tomcat
#部署
[root@k8s-node1 ~]# kubectl apply -f tomcat6-deployment.yaml
deployment.apps/tomcat6 configured


#查看资源
[root@k8s-node1 ~]# kubectl get all
NAME                           READY   STATUS    RESTARTS   AGE
pod/tomcat6-7b84fb5fdc-5jh6t   1/1     Running   0          27m
pod/tomcat6-7b84fb5fdc-8lhwv   1/1     Running   0          27m
pod/tomcat6-7b84fb5fdc-j4qmh   1/1     Running   0          27m

NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE
service/kubernetes   ClusterIP   10.96.0.1    <none>        443/TCP   14h

NAME                      READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/tomcat6   3/3     3            3           27m

NAME                                 DESIRED   CURRENT   READY   AGE
replicaset.apps/tomcat6-7b84fb5fdc   3         3         3       27m
[root@k8s-node1 ~]#
kubectl expose deployment tomcat6 --port=80 --target-port=8080 --type=NodePort  --dry-run -o yaml
apiVersion: v1
kind: Service
metadata:
  creationTimestamp: null
  labels:
    app: tomcat6
  name: tomcat6
spec:
  ports:
  - port: 80
    protocol: TCP
    targetPort: 8080
  selector:
    app: tomcat6
  type: NodePort
status:
  loadBalancer: {}

将这段输出和“tomcat6-deployment.yaml”进行拼接,表示部署完毕并进行暴露服务:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: tomcat6
  name: tomcat6
spec:
  replicas: 3
  selector:
    matchLabels:
      app: tomcat6
  template:
    metadata: 
      labels:
        app: tomcat6
    spec:
      containers:
      - image: tomcat:6.0.53-jre8
        name: tomcat
---
apiVersion: v1
kind: Service
metadata:
  creationTimestamp: null
  labels:
    app: tomcat6
  name: tomcat6
spec:
  ports:
  - port: 80
    protocol: TCP
    targetPort: 8080
  selector:
    app: tomcat6
  type: NodePort

部署并暴露服务

[root@k8s-node1 ~]# kubectl apply -f tomcat6-deployment.yaml
deployment.apps/tomcat6 created
service/tomcat6 created

查看服务和部署信息

[root@k8s-node1 ~]# kubectl get all
NAME                           READY   STATUS    RESTARTS   AGE
pod/tomcat6-7b84fb5fdc-dsqmb   1/1     Running   0          4s
pod/tomcat6-7b84fb5fdc-gbmxc   1/1     Running   0          5s
pod/tomcat6-7b84fb5fdc-kjlc6   1/1     Running   0          4s

NAME                 TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)        AGE
service/kubernetes   ClusterIP   10.96.0.1       <none>        443/TCP        14h
service/tomcat6      NodePort    10.96.147.210   <none>        80:30172/TCP   4s

NAME                      READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/tomcat6   3/3     3            3           5s

NAME                                 DESIRED   CURRENT   READY   AGE
replicaset.apps/tomcat6-7b84fb5fdc   3         3         3       5s
[root@k8s-node1 ~]#

访问node1,node1和node3的30172端口:

[root@k8s-node1 ~]# curl -I http://192.168.56.{100,101,102}:30172/
HTTP/1.1 200 OK
Server: Apache-Coyote/1.1
Accept-Ranges: bytes
ETag: W/"7454-1491118183000"
Last-Modified: Sun, 02 Apr 2017 07:29:43 GMT
Content-Type: text/html
Content-Length: 7454
Date: Mon, 04 May 2020 04:35:35 GMT

HTTP/1.1 200 OK
Server: Apache-Coyote/1.1
Accept-Ranges: bytes
ETag: W/"7454-1491118183000"
Last-Modified: Sun, 02 Apr 2017 07:29:43 GMT
Content-Type: text/html
Content-Length: 7454
Date: Mon, 04 May 2020 04:35:35 GMT

HTTP/1.1 200 OK
Server: Apache-Coyote/1.1
Accept-Ranges: bytes
ETag: W/"7454-1491118183000"
Last-Modified: Sun, 02 Apr 2017 07:29:43 GMT
Content-Type: text/html
Content-Length: 7454
Date: Mon, 04 May 2020 04:35:35 GMT

[root@k8s-node1 ~]# 

Ingress

通过Ingress发现pod进行关联。基于域名访问
通过Ingress controller实现POD负载均衡
支持TCP/UDP 4层负载均衡和HTTP 7层负载均衡

谷粒商城-官方笔记-分布式集群(4/4)_第30张图片

步骤:
(1)部署Ingress controller

执行“k8s/ingress-controller.yaml”

[root@k8s-node1 k8s]# kubectl apply -f ingress-controller.yaml 
namespace/ingress-nginx created
configmap/nginx-configuration created
configmap/tcp-services created
configmap/udp-services created
serviceaccount/nginx-ingress-serviceaccount created
clusterrole.rbac.authorization.k8s.io/nginx-ingress-clusterrole created
role.rbac.authorization.k8s.io/nginx-ingress-role created
rolebinding.rbac.authorization.k8s.io/nginx-ingress-role-nisa-binding created
clusterrolebinding.rbac.authorization.k8s.io/nginx-ingress-clusterrole-nisa-binding created
daemonset.apps/nginx-ingress-controller created
service/ingress-nginx created
[root@k8s-node1 k8s]# 

查看

[root@k8s-node1 k8s]# kubectl get pods --all-namespaces
NAMESPACE       NAME                                READY   STATUS              RESTARTS   AGE
default         tomcat6-7b84fb5fdc-dsqmb            1/1     Running             0          16m
default         tomcat6-7b84fb5fdc-gbmxc            1/1     Running             0          16m
default         tomcat6-7b84fb5fdc-kjlc6            1/1     Running             0          16m
ingress-nginx   nginx-ingress-controller-9q6cs      0/1     ContainerCreating   0          40s
ingress-nginx   nginx-ingress-controller-qx572      0/1     ContainerCreating   0          40s
kube-system     coredns-546565776c-9sbmk            1/1     Running             1          14h
kube-system     coredns-546565776c-t68mr            1/1     Running             1          14h
kube-system     etcd-k8s-node1                      1/1     Running             1          14h
kube-system     kube-apiserver-k8s-node1            1/1     Running             1          14h
kube-system     kube-controller-manager-k8s-node1   1/1     Running             1          14h
kube-system     kube-flannel-ds-amd64-5xs5j         1/1     Running             2          13h
kube-system     kube-flannel-ds-amd64-6xwth         1/1     Running             2          14h
kube-system     kube-flannel-ds-amd64-fvnvx         1/1     Running             1          13h
kube-system     kube-proxy-7tkvl                    1/1     Running             1          13h
kube-system     kube-proxy-mvlnk                    1/1     Running             2          13h
kube-system     kube-proxy-sz2vz                    1/1     Running             1          14h
kube-system     kube-scheduler-k8s-node1            1/1     Running             1          14h
[root@k8s-node1 k8s]#

这里master节点负责调度,具体执行交给node2和node3来完成,能够看到它们正在下载镜像

谷粒商城-官方笔记-分布式集群(4/4)_第31张图片

(2)创建Ingress规则

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: web
spec:
  rules:
  - host: tomcat6.kubenetes.com
    http:
       paths: 
          - backend: 
              serviceName: tomcat6
              servicePort: 80
[root@k8s-node1 k8s]# touch ingress-tomcat6.yaml
#将上面的规则,添加到ingress-tomcat6.yaml文件中
[root@k8s-node1 k8s]# vi  ingress-tomcat6.yaml  
 
[root@k8s-node1 k8s]# kubectl apply -f ingress-tomcat6.yaml 
ingress.extensions/web created
[root@k8s-node1 k8s]# 

修改本机的hosts文件,添加如下的域名转换规则:

192.168.56.102 tomcat6.kubenetes.com

测试: http://tomcat6.kubenetes.com/

谷粒商城-官方笔记-分布式集群(4/4)_第32张图片

并且集群中即便有一个节点不可用,也不影响整体的运行。

安装kubernetes可视化界面——DashBoard

1、部署DashBoard

$ kubectl appy -f  kubernetes-dashboard.yaml

文件在“k8s”源码目录提供

2、暴露DashBoard为公共访问

默认DashBoard只能集群内部访问,修改Service为NodePort类型,暴露到外部

kind: Service
apiVersion: v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kube-system
spec:
  type: NodePort
  ports:
    - port: 443
      targetPort: 8443
      nodePort: 3001
  selector:
    k8s-app: kubernetes-dashboard

访问地址:http://NodeIP:30001

3、创建授权账号

$ kubectl create serviceaccount dashboar-admin -n kube-sysem
$ kubectl create clusterrolebinding dashboar-admin --clusterrole=cluter-admin --serviceaccount=kube-system:dashboard-admin
$ kubectl describe secrets -n kube-system $( kubectl -n kube-system get secret |awk '/dashboard-admin/{print $1}' )

使用输出的token登录dashboard

谷粒商城-官方笔记-分布式集群(4/4)_第33张图片

kubesphere

默认的dashboard没啥用,我们用kubesphere可以打通全部的devops链路,kubesphere集成了很多套件,集群要求比较高
https://kubesphere.io

kuboard也很不错,集群要求不高
https://kuboard.cn/support/

1、简洁

kubesphere是一款面向云原声设计的开源项目,在目前主流容器调度平台kubernets智商构建的分布式多用户容器管理平台,提供简单易用的操作界面以及向导式操作方式,在降低用户使用容器调度平台学习成本的同时,极大降低开发、测试、运维的日常工作的复杂度。

2、安装前提提交

1、安装helm(master节点执行)

helm是kubernetes的包管理器。包管理器类似于在Ubuntu中使用的apt,centos中的yum或者python中的pip一样,能够快速查找,下载和安装软件包。Helm有客户端组件helm和服务端组件Tiller组成,能够将一组K8S资源打包统一管理,是查找、共享和使用为Kubernetes构建的软件的最佳方式。

1)安装

curl -L https://git.io/get_helm.sh|bash

由于被墙的原因,使用我们给定的get_helm.sh。

[root@k8s-node1 k8s]# ll
total 68
-rw-r--r-- 1 root root  7149 Feb 27 01:58 get_helm.sh
-rw-r--r-- 1 root root  6310 Feb 28 05:16 ingress-controller.yaml
-rw-r--r-- 1 root root   209 Feb 28 13:18 ingress-demo.yml
-rw-r--r-- 1 root root   236 May  4 05:09 ingress-tomcat6.yaml
-rwxr--r-- 1 root root 15016 Feb 26 15:05 kube-flannel.yml
-rw-r--r-- 1 root root  4737 Feb 26 15:38 kubernetes-dashboard.yaml
-rw-r--r-- 1 root root  3841 Feb 27 01:09 kubesphere-complete-setup.yaml
-rw-r--r-- 1 root root   392 Feb 28 11:33 master_images.sh
-rw-r--r-- 1 root root   283 Feb 28 11:34 node_images.sh
-rw-r--r-- 1 root root  1053 Feb 28 03:53 product.yaml
-rw-r--r-- 1 root root   931 May  3 10:08 Vagrantfile
[root@k8s-node1 k8s]# sh get_helm.sh 
Downloading https://get.helm.sh/helm-v2.16.6-linux-amd64.tar.gz
Preparing to install helm and tiller into /usr/local/bin
helm installed into /usr/local/bin/helm
tiller installed into /usr/local/bin/tiller
Run 'helm init' to configure helm.
[root@k8s-node1 k8s]# 

2)验证版本

helm version

3)创建权限(master执行)

创建helm-rbac.yaml,写入如下内容

apiVersion: v1
kind: ServiceAccount
metadata:
  name: tiller
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: tiller
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
  - kind: ServiceAccount
    name: kubernetes-dashboard
    namespace: kube-system

应用配置:

[root@k8s-node1 k8s]#  kubectl apply -f helm-rbac.yaml
serviceaccount/tiller created
clusterrolebinding.rbac.authorization.k8s.io/tiller created
[root@k8s-node1 k8s]#

2、安装Tilller(Master执行)

1、初始化

[root@k8s-node1 k8s]# helm init --service-account=tiller --tiller-image=sapcc/tiller:v2.16.3 --history-max 300 
Creating /root/.helm 
Creating /root/.helm/repository 
Creating /root/.helm/repository/cache 
Creating /root/.helm/repository/local 
Creating /root/.helm/plugins 
Creating /root/.helm/starters 
Creating /root/.helm/cache/archive 
Creating /root/.helm/repository/repositories.yaml 
Adding stable repo with URL: https://kubernetes-charts.storage.googleapis.com 
Adding local repo with URL: http://127.0.0.1:8879/charts 
$HELM_HOME has been configured at /root/.helm.

Tiller (the Helm server-side component) has been installed into your Kubernetes Cluster.

Please note: by default, Tiller is deployed with an insecure 'allow unauthenticated users' policy.
To prevent this, run `helm init` with the --tiller-tls-verify flag.
For more information on securing your installation see: https://v2.helm.sh/docs/securing_installation/
[root@k8s-node1 k8s]# 

–tiller-image 指定镜像,否则会被墙,等待节点上部署的tiller完成即可。

[root@k8s-node1 k8s]#  kubectl get pods -n kube-system
NAME                                   READY   STATUS             RESTARTS   AGE
coredns-546565776c-9sbmk               1/1     Running            3          23h
coredns-546565776c-t68mr               1/1     Running            3          23h
etcd-k8s-node1                         1/1     Running            3          23h
kube-apiserver-k8s-node1               1/1     Running            3          23h
kube-controller-manager-k8s-node1      1/1     Running            3          23h
kube-flannel-ds-amd64-5xs5j            1/1     Running            4          22h
kube-flannel-ds-amd64-6xwth            1/1     Running            5          23h
kube-flannel-ds-amd64-fvnvx            1/1     Running            4          22h
kube-proxy-7tkvl                       1/1     Running            3          22h
kube-proxy-mvlnk                       1/1     Running            4          22h
kube-proxy-sz2vz                       1/1     Running            3          23h
kube-scheduler-k8s-node1               1/1     Running            3          23h
kubernetes-dashboard-975499656-jxczv   0/1     ImagePullBackOff   0          7h45m
tiller-deploy-8cc566858-67bxb          1/1     Running            0          31s
[root@k8s-node1 k8s]#

查看集群的所有节点信息:

 kubectl get node -o wide
[root@k8s-node1 k8s]#  kubectl get node -o wide
NAME        STATUS   ROLES    AGE   VERSION   INTERNAL-IP   EXTERNAL-IP   OS-IMAGE                KERNEL-VERSION               CONTAINER-RUNTIME
k8s-node1   Ready    master   23h   v1.17.3   10.0.2.15     <none>        CentOS Linux 7 (Core)   3.10.0-957.12.2.el7.x86_64   docker://19.3.8
k8s-node2   Ready    <none>   22h   v1.17.3   10.0.2.4      <none>        CentOS Linux 7 (Core)   3.10.0-957.12.2.el7.x86_64   docker://19.3.8
k8s-node3   Ready    <none>   22h   v1.17.3   10.0.2.5      <none>        CentOS Linux 7 (Core)   3.10.0-957.12.2.el7.x86_64   docker://19.3.8
[root@k8s-node1 k8s]# 

2、测试

helm install stable/nginx-ingress --name nginx-ingress

最小化安装 KubeSphere

若集群可用 CPU > 1 Core 且可用内存 > 2 G,可以使用以下命令最小化安装 KubeSphere:

kubectl apply -f https://raw.githubusercontent.com/kubesphere/ks-installer/master/kubesphere-minimal.yaml

提示:若您的服务器提示无法访问 GitHub,可将 kubesphere-minimal.yaml kubesphere-complete-setup.yaml 文件保存到本地作为本地的静态文件,再参考上述命令进行安装。

  1. 查看滚动刷新的安装日志,请耐心等待安装成功。
$ kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f

说明:安装过程中若遇到问题,也可以通过以上日志命令来排查问题。

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