1.三台虚拟机搭建

开三台虚拟机。使用Centos7 系统，网络模式使用NAT模式（校园网应该是用不了桥接模式）
在虚拟机里设置主机名

#依次设置主机名
hostnamectl set-hostname k8s-master1hostnamectl set-hostname k8s-worker1hostnamectl set-hostname k8s-worker2

主机地址ip设置

# 查看eens33的配置文件
cat /etc/sysconfig/network-scripts/ifcfg-ens33
# 然后进行修改
vi /etc/sysconfig/network-scripts/ifcfg-ens33
#将 BOOTPROTO改为
BOOTPROTO="static"  或BOOTPROTO="none"#在文件最后添加
IPADDR="192.168.255.100"
PREFIX="24"
GATEWAY="192.16.255.2"
DNS1="119.29.29.29"    #顶级域名皆可

ip配置注意要和虚拟的ip网卡在同一网段上

推出文件后重启网卡来生效

systemctl restart network
# 查看IP
ip a s

2.安装前环境配置

添加host解析

cat >> /etc/hosts <<EOF
192.168.255.100 k8s-master1
192.168.255.101 k8s-worker1
192.168.255.102 k8s-worker2
EOFcat <<EOF > /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward=1
vm.max_map_count=262144
EOF

调整系统，都是所有机器执行

#防火墙策略，防止集群间不能通信
iptables -P FORWARD ACCEPT# 防止开机自动挂载swap分区
swapoff -a
sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab# 关闭防火墙和SELINUX
sed -ri 's#(SELINUX=).*#\1disabled#' /etc/selinux/config
setenforce 0
systemctl disable firewalld && systemctl stop firewalld# 查看一下防火墙状态 （dead死亡状态才对）
systemctl status firewalld#开启内核对流量的转发
cat <<EOF > /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward=1
vm.max_map_count=262144
EOF# 使上一条指令生效内核加载
modprobe br_netfiltersysctl -p /etc/sysctl.d/k8s.conf#配置centos的yum源
curl -o /etc/yum.repos.d/Centos-7.repo http://mirrors.aliyun.com/repo/Centos-7.repo#配置docker的yum镜像源
curl -o /etc/yum.repos.d/docker-ce.repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo#配置kubernetes的yum源
cat <<EOF > /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
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yumkey.gpg http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF# 生成yum缓存
yum clean all && yum makecache

执行完上述最后一条操作，如果没问题的话会有17个文件下载

3.安装docker (所有机器都安装)

# 列出所有可安装的docker版本
yum list docker-ce --showduplicates | sort -r#安装dockeryum install docker-ce -y   #没有指定版本即安装最新的稳定版yum install docker-ce-20.10.0 -y   #指定安装 20.10.0.ce版本的,加y是，有要求yes or no 的回答yes# 配置docker镜像加速地址
mkdir -p /etc/docker       #创建文件夹
#然后创建并打开daemon.json文件
vi /etc/docker/daemon.json
#并写入配置daocloud的镜像加速地址
{"registry-mirrors": ["http://f1361db2.m.daocloud.io"]
}#启动并加入开机启动
systemctl enable docker && systemctl start docker

然后执行命令 docker ps 有正确的反应说明docker 安装好了。docker version命令也可以查看，client，server都显示docker的版本号

4.安装kuberentes

安装 kubeadm， kubelet和kubectl

kubeadm：用来初始化集群的指令，安装集群的
kubelet：在集群中的每个节点上用来启动Pod和容器等，管理docker的.
kubectl：用来与集群通信的命令行工具，就好比你用docker ps ,docker images。

4.1 安装k8s-master1(master1机器执行)

操作节点：所有的master和worker节点需要执行

#版本选择的是1.16.2
yum install -y kubelet-1.16.2 kubeadm-1.16.2 kubectl-1.16.2 --disableexcludes=kubernetes#查看kubeadm版本
kubeadm version#设置kubelet 开机自启，作用是管理容器的，下载镜像，创建容器，启停容器。确保机器一开机，kubelet服务启动了就会自动帮你管理pod(容器)
systemctl enable kubelet

4.2 初始化配置文件(只在k8s-master1执行)

# 创建一个目录
mkdir ~/k8s-install && cd ~/k8s-install#在k8s-install这个文件夹下用kubeadm config这条命令取init生成kubeadm.yaml文件
kubeadm config print init-defaults > kubeadm.yaml# 接着执行 下一行命令就可以进行编辑
vi kubeadm.yaml

默认的kubeadm.yaml

apiVersion: kubeadm.k8s.io/v1beta2
bootstrapTokens:
- groups:- system:bootstrappers:kubeadm:default-node-tokentoken: abcdef.0123456789abcdefttl: 24h0m0susages:- signing- authentication
kind: InitConfiguration
localAPIEndpoint:advertiseAddress: 1.2.3.4  # 此处改为k8s-master1的内网ip,我的是192.168.255.100bindPort: 6443
nodeRegistration:criSocket: /var/run/dockershim.sockname: k8s-master1taints:- effect: NoSchedulekey: node-role.kubernetes.io/master
---
apiServer:timeoutForControlPlane: 4m0s
apiVersion: kubeadm.k8s.io/v1beta2
certificatesDir: /etc/kubernetes/pki
clusterName: kubernetes
controllerManager: {}
dns:type: CoreDNS
etcd:local:dataDir: /var/lib/etcd
imageRepository: k8s.gcr.io   # 此处镜像源修改为阿里的镜像源：registry.aliyuncs.com/google_containers
kind: ClusterConfiguration
kubernetesVersion: v1.16.0     #改成自己的k8s版本 我的是v1.16.2
networking:dnsDomain: cluster.localpodSubnet: 10.244.0.0/16   #添加pod网段，设置容器内网络serviceSubnet: 10.96.0.0/12
"kubeadm.yaml" 38L, 831C

4.3 提前下载镜像（只在k8s-master1执行）

# 检查镜像列表  根据kubeadm.yaml文件列出包含的k8s镜像
kubeadm config images list --config kubeadm.yaml结果如下：registry.aliyuncs.com/google_containers/kube-apiserver:v1.16.2
registry.aliyuncs.com/google_containers/kube-controller-manager:v1.16.2
registry.aliyuncs.com/google_containers/kube-scheduler:v1.16.2
registry.aliyuncs.com/google_containers/kube-proxy:v1.16.2
registry.aliyuncs.com/google_containers/pause:3.1
registry.aliyuncs.com/google_containers/etcd:3.3.15-0
registry.aliyuncs.com/google_containers/coredns:1.6.2# 提前下载镜像
kubeadm config images pull --config kubeadm.yaml结果如下：
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-apiserver:v1.16.2
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-controller-manager:v1.16.2
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-scheduler:v1.16.2
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-proxy:v1.16.2
[config/images] Pulled registry.aliyuncs.com/google_containers/pause:3.1
[config/images] Pulled registry.aliyuncs.com/google_containers/etcd:3.3.15-0
[config/images] Pulled registry.aliyuncs.com/google_containers/coredns:1.6.2#检查镜像是否存在
docker images结果：
registry.aliyuncs.com/google_containers/kube-proxy                v1.16.2    8454cbe08dc9   22 months ago   86.1MB
registry.aliyuncs.com/google_containers/kube-apiserver            v1.16.2    c2c9a0406787   22 months ago   217MB
registry.aliyuncs.com/google_containers/kube-controller-manager   v1.16.2    6e4bffa46d70   22 months ago   163MB
registry.aliyuncs.com/google_containers/kube-scheduler            v1.16.2    ebac1ae204a2   22 months ago   87.3MB
registry.aliyuncs.com/google_containers/etcd                      3.3.15-0   b2756210eeab   24 months ago   247MB
registry.aliyuncs.com/google_containers/coredns                   1.6.2      bf261d157914   2 years ago     44.1MB
registry.aliyuncs.com/google_containers/pause                     3.1        da86e6ba6ca1   3 years ago     742kB# 初始化集群
kubeadm init --config kubeadm.yaml结果如下：
[init] Using Kubernetes version: v1.16.2
[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/[WARNING SystemVerification]: this Docker version is not on the list of validated versions: 20.10.8. Latest validated version: 18.09
[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] Activating the kubelet service
[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-master1 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.255.100]
[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-master1 localhost] and IPs [192.168.255.100 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master1 localhost] and IPs [192.168.255.100 127.0.0.1 ::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"
[control-plane] Creating static Pod manifest for "kube-scheduler"
[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
[kubelet-check] Initial timeout of 40s passed.
[apiclient] All control plane components are healthy after 117.203432 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.16" 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-master1 as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node k8s-master1 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: abcdef.0123456789abcdef
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[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
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxyYour Kubernetes control-plane has initialized successfully!                     # 初始化成功To start using your cluster, you need to run the following as a regular user: # 下一步创建集群的操作提示mkdir -p $HOME/.kubesudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/configsudo chown $(id -u):$(id -g) $HOME/.kube/config# 你可能需要创建pod网络，你的pod才能正常工作
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/# 你需要用如下命令，将node节点加入集群
Then you can join any number of worker nodes by running the following on each as root:kubeadm join 192.168.255.100:6443 --token abcdef.0123456789abcdef \--discovery-token-ca-cert-hash sha256:fb88ee0d2039f7bbf5e9ae65ca5a86276587d3a452ae6ae20c9c5a8431ec0179

# 根据提示创建配置文件
mkdir -p $HOME/.kubesudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/configsudo chown $(id -u):$(id -g) $HOME/.kube/config

注意上面结果如下的的最后一行 Then you can join any number of worker nodes by running the following on each as root:之下即为让k8s worker节点加入集群的命令

4.4 添加k8s-node（worker1和2）节点到集群中

所有worker节点复制上述k8s-master1生成的信息(每一次安装k8s生成的都不一样)

kubeadm join 192.168.255.100:6443 --token abcdef.0123456789abcdef \--discovery-token-ca-cert-hash sha256:fb88ee0d2039f7bbf5e9ae65ca5a86276587d3a452ae6ae20c9c5a8431ec0179#两个worker节点显示如下意味着加入集群成功
This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.Run 'kubectl get nodes' on the control-plane to see this node join the cluster.
# 在主节点 输入kubectl get nodes 可以看到集群成功（但因为还没有网络插件，status 还是显示NotReady）
[root@k8s-master1 k8s-install]# kubectl get nodes
NAME          STATUS     ROLES    AGE     VERSION
k8s-master1   NotReady   master   9h      v1.16.2
k8s-worker1   NotReady   <none>   7m1s    v1.16.2
k8s-worker2   NotReady   <none>   5m54s   v1.16.2

此时搭建到这，准备给三台虚拟机打个快照。以防止后面配置网络插件有问题。

快照已经打好，下面进行安装flannel插件。有机会可以尝试一下calico插件，这个似乎是最好的

4.5 安装网络插件（k8s-master1执行）

4.5.1 安装flannel网络插件（k8s-master1执行）

这里可能有网络问题，多尝试几次。

# 利用wget命令下载 kube-flannel.yml文件。因为实在国外下载，可能会失败或卡死，可以CTRL+C终止后重新下载。
#（wget：非交互式的网络文件下载工具。  如果提示-bash: wget: 未找到命令。执行  ：yum -y install wget）
wget https://raw.githubusercontent.com/coreos/flannel/2140ac876ef134e0ed5af15c65e414cf26827915/Documentation/kube-flannel.yml
# 如果报无法连接ssL链接的错误，把上边网址的https改为http即可。

修改配置文件，指定机器的网卡名，大约在190行

#进入文件vi kube-flannel.yml找到如下：args:- --ip-masq      - --kube-subnet-mgr- --iface=ens33   #添加这一行，我的是ens33,也有的是eth0

下载flannel网络插件镜像

docker pull quay.io/coreos/flannel:v0.11.0-amd64# 显示各节点的详细信息
kubectl get nodes -o wide# 结果：
NAME          STATUS     ROLES    AGE   VERSION   INTERNAL-IP       EXTERNAL-IP   OS-IMAGE                KERNEL-VERSION          CONTAINER-RUNTIME
k8s-master1   NotReady   master   18h   v1.16.2   192.168.255.100   <none>        CentOS Linux 7 (Core)   3.10.0-957.el7.x86_64   docker://20.10.8
k8s-worker1   NotReady   <none>   9h    v1.16.2   192.168.255.101   <none>        CentOS Linux 7 (Core)   3.10.0-957.el7.x86_64   docker://20.10.8
k8s-worker2   NotReady   <none>   9h    v1.16.2   192.168.255.102   <none>        CentOS Linux 7 (Core)   3.10.0-957.el7.x86_64   docker://20.10.8
# STATUS 还是NotReady 是因为node的网络节点还没配置

PS :之前这里一直报 docker pull quay.io/coreos/flannel:v0.11.0-amd64 Error response from daemon: Get “https://quay.io/v2/”: context deadline exceeded 的错误。试了很多方法不行。网上还说是因为国外墙的原因。其实是因为自己内存太小了连接超时。加了4G的内存条解决了。

开始安装flannel网络插件

#[root@k8s-master1 k8s-install] 目录下执行
kubectl create -f kube-flannel.yml

查看集群中所有的pod状态，确保都是正常的

kubectl get pods -A#结果：
kube-system   coredns-58cc8c89f4-qwjrq              1/1     Running   0          18h
kube-system   coredns-58cc8c89f4-tcjdm              1/1     Running   0          18h
kube-system   etcd-k8s-master1                      1/1     Running   10         18h
kube-system   kube-apiserver-k8s-master1            1/1     Running   29         18h
kube-system   kube-controller-manager-k8s-master1   1/1     Running   10         18h
kube-system   kube-flannel-ds-amd64-fb9fx           1/1     Running   0          55s
kube-system   kube-flannel-ds-amd64-m8h9n           1/1     Running   0          55s
kube-system   kube-flannel-ds-amd64-qr92q           1/1     Running   0          55s
kube-system   kube-proxy-8pqn2                      1/1     Running   1          9h
kube-system   kube-proxy-rvbb7                      1/1     Running   1          9h
kube-system   kube-proxy-w7679                      1/1     Running   1          18h
kube-system   kube-scheduler-k8s-master1            1/1     Running   12         18h

再次检查k8s集群

kubectl get nodes#结果： 此时节点状态都为Ready
NAME          STATUS   ROLES    AGE   VERSION
k8s-master1   Ready    master   19h   v1.16.2
k8s-worker1   Ready    <none>   9h    v1.16.2
k8s-worker2   Ready    <none>   9h    v1.16.2

到此为止 kubernetes 的网络组件安装成功。k8s 集群搭建完毕。

4.5.2 安装 calico 网络组件（跳过）

5. 首次使用k8s部署应用程序

初体验，k8s 部署 nginx web 服务

Kubernetes kubectl run 命令详解

kubectl run

创建并运行一个或多个容器镜像。
创建一个deployment 或job 来管理容器

语法

kubectl run NAME --image=image:版本号 [–env=“key=value”] [–port=port] [–replicas=replicas] [–dry-run=bool] [–overrides=inline-json] [–command] – [COMMAND] [args…]

示例1：启动nginx实例

kubectl run nginx --image=nginx:alpine # 启动精简版（alpine）的nginx实例,名字叫nginx

示例2：启动hazelcast实例，暴露容器端口 5701（不加版本号就用最新版本latest）

kubectl run hazelcast --image=hazelcast --port=5701

示例3：启动hazelcast实例，在容器中设置环境变量“DNS_DOMAIN = cluster”和“POD_NAMESPACE = default”

kubectl run hazelcast --image=hazelcast --env=“DNS_DOMAIN=cluster” --env="POD_NAMESPACE=default"

执行命令

kubectl run twz-nginx --image=nginx:alpine
# k8s 是创建pod,分配到某一个node机器，然后在机器上运行机器。

# 执行 kubectl get pods -o wide  发现nginx被安排在k8s-worker2节点上。pod的IP是10.244.2.2 。这个就是上面kubeadm.yaml 里加的podSubnet: 10.244.0.0/1 分配的网段。
[root@k8s-master1 k8s-install]# kubectl get pods -o wide
NAME                         READY   STATUS    RESTARTS   AGE   IP           NODE          NOMINATED NODE   READINESS GATES
twz-nginx-58bf898b8b-llq8x   1/1     Running   0          19m   10.244.2.2   k8s-worker2   <none>           <none># 那么如何访问nginx这个应用呢？ 三台机器都 可以访问分配的pod ip
curl 10.244.2.2# 这个CLUSTER-IP 是 serviceSubnet: 10.96.0.0/12 分配的网段。
[root@k8s-master1 k8s-install]# kubectl get svc
NAME         TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE
kubernetes   ClusterIP   10.96.0.1    <none>        443/TCP   20h[root@k8s-master1 k8s-install]# kubectl get deploy
NAME        READY   UP-TO-DATE   AVAILABLE   AGE
twz-nginx   1/1     1            1           23m#查看deploy的详细信息
kubectl describe deploy twz-nginx#查看pods的详细信息
kubectl describe pods twz-nginx-58bf898b8b-llq8x

ps:

输入  ifconfig  查看网络配置：[root@k8s-worker2 ~]# ifconfig
cni0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>  mtu 1450inet 10.244.2.1  netmask 255.255.255.0  broadcast 10.244.2.255inet6 fe80::b0e0:ceff:fe5f:3aa9  prefixlen 64  scopeid 0x20<link>ether b2:e0:ce:5f:3a:a9  txqueuelen 1000  (Ethernet)RX packets 19  bytes 3466 (3.3 KiB)RX errors 0  dropped 0  overruns 0  frame 0TX packets 29  bytes 2204 (2.1 KiB)TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0docker0: flags=4099<UP,BROADCAST,MULTICAST>  mtu 1500inet 172.17.0.1  netmask 255.255.0.0  broadcast 172.17.255.255ether 02:42:e6:e3:ac:36  txqueuelen 0  (Ethernet)RX packets 0  bytes 0 (0.0 B)RX errors 0  dropped 0  overruns 0  frame 0TX packets 0  bytes 0 (0.0 B)TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0ens33: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>  mtu 1500inet 192.168.255.102  netmask 255.255.255.0  broadcast 192.168.255.255inet6 fe80::69cb:cab8:8466:92b0  prefixlen 64  scopeid 0x20<link>ether 00:0c:29:d4:07:4f  txqueuelen 1000  (Ethernet)RX packets 66270  bytes 49686525 (47.3 MiB)RX errors 0  dropped 0  overruns 0  frame 0TX packets 44053  bytes 4255676 (4.0 MiB)TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0flannel.1: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>  mtu 1450inet **10.244.2.0**  netmask 255.255.255.255  broadcast 0.0.0.0inet6 fe80::882f:c0ff:fe90:c02f  prefixlen 64  scopeid 0x20<link>ether 8a:2f:c0:90:c0:2f  txqueuelen 0  (Ethernet)RX packets 14  bytes 892 (892.0 B)RX errors 0  dropped 0  overruns 0  frame 0TX packets 10  bytes 2236 (2.1 KiB)TX errors 0  dropped 8 overruns 0  carrier 0  collisions 0lo: flags=73<UP,LOOPBACK,RUNNING>  mtu 65536inet 127.0.0.1  netmask 255.0.0.0inet6 ::1  prefixlen 128  scopeid 0x10<host>loop  txqueuelen 1000  (Local Loopback)RX packets 72  bytes 4992 (4.8 KiB)RX errors 0  dropped 0  overruns 0  frame 0TX packets 72  bytes 4992 (4.8 KiB)TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0veth80e2fb41: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>  mtu 1450inet6 fe80::e04b:28ff:fe22:76a2  prefixlen 64  scopeid 0x20<link>ether e2:4b:28:22:76:a2  txqueuelen 0  (Ethernet)RX packets 19  bytes 3732 (3.6 KiB)RX errors 0  dropped 0  overruns 0  frame 0TX packets 34  bytes 2602 (2.5 KiB)TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0**发现了flannel.1的IP是10.244.2.0与 twz-nginx的pod的IP ：10.244.2.2是一个网段的。这说明pod的IP是网络插件flanel分配的局域网**

k8s命令补全工具  可用tab键补全命令名和文件名。yum install -y bash-completion
source /usr/share/bash-completion/bash_completion
source <(kubectl completion bash)
echo "source <(kubectl completion bash)" >> ~/.bashrc

一篇好文章的推荐

[(4条消息) Kubernetes之kubectl常用命令使用指南:1:创建和删除_sdfsdfytre的博客-CSDN博客

注意：问题来了，刚才访问nginx是在集群内部。通过访问pod 的IP来访问的。那么如何在外面比如浏览器来访问pod内的应用程序呢？

6. 再来部署nginx应用–deployment

刚才是小试牛刀，快速的用k8s创建pod 运行 nginx,且可以在集群内，访问nginx页面。
pod
k8s支持容器的高可用 --------实现靠deployment
- node01上的应用程序挂了，能自动重启
- 还支持扩容，缩容
- 实现负载均衡

这里我们创建一个deployment 资源，该资源是k8s部署应用的重点，这里我们先不做介绍，就来看看他的作用

创建deployment资源后，deployment 指示k8s如何创建应用实例，k8s-master将应用程序，调度到具体的node上，也就是生成pod以及内部的容器实例。

应用创建后，deployment会持续监控这些pod，如果node节点出现故障，deployment控制器会自动找到一个更优node，重新创建新的实例。这就提供了自我修复能力，解决服务器故障问题。

6.1 创建k8s资源有两种方式

yaml配置文件，生产环境使用。
命令行，调试使用。

我们这里使用yaml文件来创建k8s资源

先写yaml
应用yaml文件

下面是一个 deployment的yaml文件-----创建一个名为tianwenzhao-nginx.yaml （路径为[root@k8s-master1 k8s-install]# ）的文件贴入一下内容

apiVersion: apps/v1
kind: Deployment
metadata:name: tianwenzhao-nginxlabels:app: nginx
spec:# 创建两个nginx容器replicas: 2  # 副本数selector:matchLabels:app: nginxtemplate:metadata:labels:app: nginxspec:containers:  # 容器的配置- name: nginximage: nginx:alpineports:- containerPort: 80

读取yaml文件，创建k8s资源。

kubectl apply -f tianwenzhao-nginx.yaml
#kubectl create -f tianwenzhao-nginx.yaml 也行，两者命令有区别，一个是更新（之前没有的也会创建），一个是创建# 查看 发现两个新的一个在worker1,一个在worker2
[root@k8s-master1 k8s-install]# kubectl get pods -o wide
NAME                                 READY   STATUS    RESTARTS   AGE   IP           NODE          NOMINATED NODE   READINESS GATES
tianwenzhao-nginx-5c559d5697-bfc7s   1/1     Running   0          46s   10.244.1.2   k8s-worker1   <none>           <none>
tianwenzhao-nginx-5c559d5697-p4x84   1/1     Running   0          46s   10.244.2.4   k8s-worker2   <none>           <none>
twz-nginx-58bf898b8b-llq8x           1/1     Running   1          16h   10.244.2.3   k8s-worker2   <none>           <none>[root@k8s-master1 k8s-install]# kubectl get deploy -o wide
NAME                READY   UP-TO-DATE   AVAILABLE   AGE     CONTAINERS   IMAGES         SELECTOR
tianwenzhao-nginx   2/2     2            2           2m32s   nginx        nginx:alpine   app=nginx
twz-nginx           1/1     1            1           16h     twz-nginx    nginx:alpine   run=twz-nginx

service 负载均衡

那么继续我们的问题，你现在运行了一个deployment类型的应用，如何通过浏览器在外部访问这个nginx呢?

通过以前的学习，我们已经能够通过deployment来创建一组pod来提具有高可用的服务。虽然每个pod都会分配一个单独的Pod IP ，然而却存在如下两个问题：

Pod IP 仅仅是集群内可见的虚拟IP，外部无法访问。
Pod IP 会随着Pod 的销毁而消失，当ReplicaSet对Pod进行动态伸缩时，Pod IP 可能随时随地地都会发生变化，这样对我们访问这个服务带来了难度。
因此通过Pod的IP 去访问服务，基本是不现实的，解决方案就是新的资源（service）负载均衡。

kubectl expose deployment tianwenzhao-nginx --port=80 --type=LoadBalancer
# 然后service 查看
[root@k8s-master1 k8s-install]# kubectl get svc -o wide
NAME                TYPE           CLUSTER-IP    EXTERNAL-IP   PORT(S)        AGE     SELECTOR
kubernetes          ClusterIP      10.96.0.1     <none>        443/TCP        41h     <none>
tianwenzhao-nginx   LoadBalancer   10.96.24.89   <pending>     80:31975/TCP   3m15s   app=nginx可以看到新建了一个名称为tianwenzhao-nginx的服务。它有一个独立的cluster-ip，内部端口80和外部IP（Node的IP）然后在外界浏览器用三台虚拟机的IP加外部的端口31975 都能访问到nginx页面
192.168.255.100:31975
192.168.255.101:31975
192.168.255.102:31975解释：https://kubernetes.io/zh/docs/concepts/services-networking/service/kubectl get services 是k8s的资源之一service 是一组pod 的抽象服务，相当于一组pod的LB，负责将请求分发给对应的pod.service 会为这个LB提供一个IP，一般称这个IP为 cluster IP。使用service对象，通过selector进行标签选择，找到对应的Pod:

小技巧：查看容器的日志 docker logs -f 容器ID。查看pod的日志： kubectl logs -f pod-name

6.2 yaml文件创建pod(小插曲)

这块实是在慕课网视频中看到的，只创建pod 不创建deployment，也就是不用deployment来管理。

apiVersion: v1   # deployment 这里是apps/v1
kind: Pod         # deployment 这里是Deployment
metadata:name: twz-nginx
spec:containers: - name: nginximage: nginx:1.7.9ports: - containerPort: 80

7. 部署dashboard

官网：https://github.com/kubernetes/dashboard

Kubernetes 仪表盘是kubernetes 集群的通用、基于web 的UI。它允许用户管理集群中运行的应用程序并对其即行故障排除，以及管理集群本身。

# 下载k8s yaml文件
wget https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.0-rc5/aio/deploy/recommended.yaml# 修改配置文件 vi recommended.yaml
spec:ports:- port: 443targetPort: 8443selector:k8s-app: kubernetes-dashboardtype: NodePort     # 大约43行，加上这个，能够让你访问宿主机的IP,就能够访问到集群内的dashboard页面。支持对外访问

创建资源，测试访问

[root@k8s-master01 k8s-install]# kubectl create -f recommended.yaml# 检查状态
[root@k8s-master1 k8s-install]# kubectl -n kubernetes-dashboard get pod
NAME                                         READY   STATUS              RESTARTS   AGE
dashboard-metrics-scraper-7b8b58dc8b-sf64h   1/1     Running             0          101s
kubernetes-dashboard-866f987876-5n9ph        0/1     ContainerCreating   0          101s# 查看所有nameserver下的pod
[root@k8s-master1 k8s-install]# kubectl get po -o wide -A --watch
NAMESPACE              NAME                                         READY   STATUS    RESTARTS   AGE     IP                NODE          NOMINATED NODE   READINESS GATES
default                tianwenzhao-nginx-5c559d5697-bfc7s           1/1     Running   0          6h55m   10.244.1.2        k8s-worker1   <none>           <none>
default                tianwenzhao-nginx-5c559d5697-p4x84           1/1     Running   0          6h55m   10.244.2.4        k8s-worker2   <none>           <none>
default                twz-nginx-58bf898b8b-llq8x                   1/1     Running   1          23h     10.244.2.3        k8s-worker2   <none>           <none>
kube-system            coredns-58cc8c89f4-qwjrq                     1/1     Running   1          43h     10.244.0.4        k8s-master1   <none>           <none>
kube-system            coredns-58cc8c89f4-tcjdm                     1/1     Running   1          43h     10.244.0.5        k8s-master1   <none>           <none>
kube-system            etcd-k8s-master1                             1/1     Running   11         43h     192.168.255.100   k8s-master1   <none>           <none>
kube-system            kube-apiserver-k8s-master1                   1/1     Running   30         43h     192.168.255.100   k8s-master1   <none>           <none>
kube-system            kube-controller-manager-k8s-master1          1/1     Running   11         43h     192.168.255.100   k8s-master1   <none>           <none>
kube-system            kube-flannel-ds-amd64-fb9fx                  1/1     Running   1          25h     192.168.255.102   k8s-worker2   <none>           <none>
kube-system            kube-flannel-ds-amd64-m8h9n                  1/1     Running   1          25h     192.168.255.100   k8s-master1   <none>           <none>
kube-system            kube-flannel-ds-amd64-qr92q                  1/1     Running   1          25h     192.168.255.101   k8s-worker1   <none>           <none>
kube-system            kube-proxy-8pqn2                             1/1     Running   2          34h     192.168.255.102   k8s-worker2   <none>           <none>
kube-system            kube-proxy-rvbb7                             1/1     Running   2          34h     192.168.255.101   k8s-worker1   <none>           <none>
kube-system            kube-proxy-w7679                             1/1     Running   2          43h     192.168.255.100   k8s-master1   <none>           <none>
kube-system            kube-scheduler-k8s-master1                   1/1     Running   13         43h     192.168.255.100   k8s-master1   <none>           <none>
kubernetes-dashboard   dashboard-metrics-scraper-7b8b58dc8b-sf64h   1/1     Running   0          5m17s   10.244.1.3        k8s-worker1   <none>           <none>
kubernetes-dashboard   kubernetes-dashboard-866f987876-5n9ph        1/1     Running   0          5m17s   10.244.1.4        k8s-worker1   <none>           <none># 容器正确运行后，测试访问，查看service资源
[root@k8s-master1 k8s-install]# kubectl -n kubernetes-dashboard get svc
NAME                        TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)         AGE
dashboard-metrics-scraper   ClusterIP   10.104.253.65   <none>        8000/TCP        9m53s
kubernetes-dashboard        NodePort    10.111.47.237   <none>        443:30497/TCP   9m55s# 可以看出可以访问30497这个端口，就对应内部Pod 443的端口
# 可以通过集群中任一主机IP 加端口号30497访问dashboard页面
https://192.168.255.100:30497/

成功访问到dashboard 登录页面后选择令牌token登录

创建账户访问dashboard ，这里涉及k8s的权限认账系统，跟着操作就好

[root@k8s-master1 k8s-install]# vi admin.yaml# 贴入
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:name: adminannotations:rbac.authorization.kubernetes.io/autoupdate: "true"
roleRef:kind: ClusterRolename: cluster-adminapiGroup: rbac.authorization.k8s.io
subjects:
- kind: ServiceAccountname: adminnamespace: kubernetes-dashboard---
apiVersion: v1
kind: ServiceAccount
metadata:name: adminnamespace: kubernetes-dashboard# 创建
[root@k8s-master1 k8s-install]# kubectl create -f admin.yaml# 获取令牌，用于登录dashboard，本条命令是得到secret的名字
[root@k8s-master1 k8s-install]# kubectl -n kubernetes-dashboard get secret |grep admin-token
admin-token-g6r7r                  kubernetes.io/service-account-token   3      143m得到的secret的名字是admin-token-g6r7r#根据如下命令，获取token，注意修改secret的名字
kubectl -n kubernetes-dashboard get secret admin-token-g6r7r -o jsonpath={.data.token}|base64 -d[root@k8s-master1 k8s-install]# kubectl -n kubernetes-dashboard get secret admin-token-g6r7r -o jsonpath={.data.token}|base64 -d
eyJhbGciOiJSUzI1NiIsImtpZCI6Im5QMENLeGtOczN2YTN6bDFja3RpUm1odkNTM1R4R210d3oxZ0R6R0ktZlEifQ.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJrdWJlcm5ldGVzLWRhc2hib2FyZCIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJhZG1pbi10b2tlbi1nNnI3ciIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VydmljZS1hY2NvdW50Lm5hbWUiOiJhZG1pbiIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VydmljZS1hY2NvdW50LnVpZCI6ImRiYWYzMTc0LTA3YzYtNDk1Yi04NmFkLTY1NzI5MDUwNmExYiIsInN1YiI6InN5c3RlbTpzZXJ2aWNlYWNjb3VudDprdWJlcm5ldGVzLWRhc2hib2FyZDphZG1pbiJ9.kVhx_UVY2gie5LgS-BdqCyqsCM4M1MJyuMBxicLpIcNnQFXGBtPu6QidEL5cDWRk3_Y14a7hB5Ku2p6hEU-NhVQ86eSnK1FxOOAr0DM6Nfk-pR-X899fvZGZXx-khaPRR1R6P6UJIdUVcT5qtDV6s3GvtWTAT91v0NdUTxyKyXFylLZ0belmcV2SFcNiSy06kyc6f4D__bTgUFdlsPOpXC-gCNtFqYq6HolqpCv1-6dwFy2SWbFCwav7UbRJOUm1VZHonHP0N3-joe2BJYyMx6FZaFaJHH1sVT9-RjjKKg4nsnlUYvFwE2De8F4p8iBWaqvW1zFw1nHQi_xpyUt6VQ

将得到的token输入dashboard的登录页面要求输入token框中**，登录成功！**

8 .将实验室新的tp系统部署在docker上（随便的一个springboot项目即可）

这里我选择单独启动k8s-worker1这台虚拟机

8.1 在idea 中将项目打包

找到target包下的jar 包

利用xshell和xftp 软件在k8s-worker1虚拟机的root目录下建一个docker_files(我取的名是docker_files_twz)。并将jar包上传至此文件夹下。

8.2 然后在同一个文件夹下编写一个dockerfile文件

创建并编写
vi mis_dockerfile# 贴入内容
FROM java:8
MAINTAINER TIANWENZHAO
ADD mis-1.0-SNAPSHOT.jar app.jar    #因为是当前路径所以就不用改路径了
CMD java -jar app.jar
# 因为我这个项目用的是云数据库，所以只用了一个java

8.3 构建镜像

现在是在[root@k8s-worker1 docker_files_twz]# 路径下执行操作

# 执行
docker build -f ./mis_dockerfile -t twz-mis:v1 .
# -f 是指定执行的dockerfile文件路径。./是指当前目录下的./mis_dockerfile 即当前目录下的mis_dockerfile-t  是指tag-t twz-mis:v1   是取名为twz-mis  版本为v1 docker build 最后的 . 号，其实是在指定镜像构建过程中的上下文环境的目录。就是代表当前的目录

docker images查看后

8.4 启动这个镜像生成容器，然后进行访问

# 启动
docker run -id -p 8096:8096 twz-mis:v1
# -p 8096:8096是指端口映射。第一个8096是容器对外被访问的端口，可以随意指定，第二个8096是springboot项目里application.yml文件里 server.port写好的port端口

此时项目已经在docker容器里启动了。

访问一下：使用k8s -worker1虚拟机的ip地址192.168.255.101加上对外映射的端口8096进行访问

8.5 将此镜像上传至dockerhub上

8.5.1 先登录dockerhub创建仓库(没有的话自己注册一个账号)

然后创建一个仓库（我创建了一个私有仓库，dockerhub只允许免费创建一个私人仓库，再创建只能选public了。这样所有人都会看到）

仓库的话默认有个前缀就是自己的账号名/ 。如果你建了一个仓库叫 springboot。那么最后的仓库名就是账号名/springboot 。从docker 上传镜像时打tag 也是用的账号名/springboot。

在dockerhub创建一个仓库

8.5.2 在虚拟机中docker 登录dockerhub 账号

# 登录dockerhub
docker login
按照提示输入账号和密码

8.5.3 push镜像到dockerhub 仓库中

推镜像之前要先打tag

#这里换成自己的
docker tag twz-mis:v1 t**w***/sb***:v1.0

查看

打tag 之前的 twz-mis : v1 的镜像也是共存的。他们的镜像id都是相同的，只不过时tag不同。我这里图片里没显示是我把他给删除了。只留了最新的

这里打的 tag 名是和dockerhub仓库名对应的。tag版本也是要有的

去dockerhub 仓库查看

说明成功了！

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