码迷,mamicode.com
首页 > 其他好文 > 详细

k8s集群部署

时间:2019-07-20 15:41:25      阅读:116      评论:0      收藏:0      [点我收藏+]

标签:下载   dockerd   根据   exec   efault   arc   active   err   mamicode   

1. 部署环境

       k8s集群部署以四台机器做实验,一台部署节点,三台集群节点。在部署节点上通过ansible将关于k8s相关部署文件发送给集群节点进行部署。

 

四台主机:node、node1、node2、node3;

  a)        部署节点:node;

  b)        master节点:node1;

  c)        etcd节点:node1、node2、node3;

  d)        计算(node)节点:node1、node2、node3。

 技术图片

版本组件

  kubernetes v1.9.7

  etcd v3.3.4

  docker 18.03.0-ce

  calico/node:v3.0.6

  calico/cni:v2.0.5

  calico/kube-controllers:v2.0.4

  centos 7.3+

 

2. 上传镜像至部署节点,解压

[root@node opt]# ls
kubernetes.tar.gz  rh
[root@node opt]# tar zxf kubernetes.tar.gz

3. 域名解析和免密钥,各机器均做

[root@node opt]# cat /etc/hosts
127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6
172.16.254.20 reg.yunwei.edu

192.168.16.95 node
192.168.16.96 node1
192.168.16.98 node2
192.168.16.99 node3

[root@node opt]# ssh-keygen
[root@node opt]# ssh-copy-id node3
[root@node opt]# ssh-copy-id node2
[root@node opt]# ssh-copy-id node1
[root@node opt]# ssh-copy-id node

4. 下载安装docker,参考docker安装部署。

5. 下载并运行docker版ansible

[root@node ~]# docker pull reg.yunwei.edu/learn/ansible:alpine3
[root@node ~]# docker images
reg.yunwei.edu/learn/ansible   alpine3             1acb4fd5df5b        17 months ago       129MB
[root@node ~]# docker run -itd -v /etc/ansible:/etc/ansible -v /etc/kubernetes/:/etc/kubernetes/ -v /root/.kube:/root/.kube -v /usr/local/bin/:/usr/local/bin/ 1acb4fd5df5b  /bin/sh
2a08c5849991a507219c5916b2fd2b26dc9e2befddcf2793bb35dacec1fe1da8
[root@node ~]# docker ps
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
2a08c5849991        1acb4fd5df5b        "/bin/sh"           30 seconds ago      Up 29 seconds                           stupefied_easley
[root@node ~]# docker exec -it 2a08c5849991 /bin/sh
/ #

6. 将编排文件移动至ansible目录

  /etc/ansible/目录已映射至容器/etc/ansible/下,因此将所有k8s的编排文件移动至/etc/ansible目录即可

[root@node ~]# cd /opt/
[root@node opt]# ls
kubernetes  kubernetes.tar.gz  rh
[root@node kubernetes]# ls
bash                                 image.tar.gz            scope.yaml
ca.tar.gz                            k8s197.tar.gz           sock-shop
harbor-offline-installer-v1.4.0.tgz  kube-yunwei-197.tar.gz
[root@node kubernetes]# tar zxf kube-yunwei-197.tar.gz
[root@node kubernetes]# ls
bash                                 kube-yunwei-197
ca.tar.gz                            kube-yunwei-197.tar.gz
harbor-offline-installer-v1.4.0.tgz  scope.yaml
image.tar.gz                         sock-shop
k8s197.tar.gz
[root@node kube-yunwei-197]# mv ./* /etc/ansible/
 
进入容器查看
[root@node ~]# docker exec -it 2a08c5849991 /bin/sh
/ # cd /etc/ansible/
/etc/ansible # ls
01.prepare.yml      06.network.yml      manifests
02.etcd.yml         99.clean.yml        roles
03.docker.yml       ansible.cfg         tools
04.kube-master.yml  bin
05.kube-node.yml    example

将k8s的二级制文件移动到/bin下
[root@node kubernetes]# rm -rf kube-yunwei-197
[root@node kubernetes]# tar zxf k8s197.tar.gz
[root@node kubernetes]# ls
bash       harbor-offline-installer-v1.4.0.tgz  kube-yunwei-197.tar.gz
bin        image.tar.gz                         scope.yaml
ca.tar.gz  k8s197.tar.gz
[root@node kubernetes]# cd bin
[root@node bin]# ls
bridge                 docker-containerd-shim  kube-apiserver
calicoctl              dockerd                 kube-controller-manager
cfssl                  docker-init             kubectl
cfssl-certinfo         docker-proxy            kubelet
cfssljson              docker-runc             kube-proxy
docker                 etcd                    kube-scheduler
docker-compose         etcdctl                 loopback
docker-containerd      flannel                 portmap
docker-containerd-ctr  host-local
[root@node bin]# mv * /etc/ansible/bin/
[root@node bin]# ls
[root@node bin]# cd ..
[root@node kubernetes]# rm -rf bin/

7. 编辑ansible的配置文件

root@node kubernetes]# cd /etc/ansible/
[root@node ansible]# ls
01.prepare.yml  04.kube-master.yml  99.clean.yml  example    tools
02.etcd.yml     05.kube-node.yml    ansible.cfg   manifests
03.docker.yml   06.network.yml      bin           roles
[root@node ansible]# cd example/
[root@node example]# ls
hosts.s-master.example
[root@node example]# cp hosts.s-master.example  ../hosts     #将示例文件复制到上层目录的hosts文件再进行编辑配置
[root@node example]# cd ..
[root@node ansible]# ls
01.prepare.yml  04.kube-master.yml  99.clean.yml  example    roles
02.etcd.yml     05.kube-node.yml    ansible.cfg   hosts      tools
03.docker.yml   06.network.yml      bin           manifests
[root@node ansible]# vim hosts
[root@node ansible]# vim hosts                               # 部署节点:运行ansible 脚本的节点
[deploy]
192.168.16.95

192.168.16.98 NODE_NAME=etcd2 NODE_IP="192.168.16.98"
192.168.16.99 NODE_NAME=etcd3 NODE_IP="192.168.16.99"

[kube-master]
192.168.16.96 NODE_IP="192.168.16.96"
192.168.16.99 NODE_IP="192.168.16.99"

[all:vars]
# ---------集群主要参数---------------
#集群部署模式:allinone, single-master, multi-master
DEPLOY_MODE=single-master

#集群 MASTER IP
MASTER_IP="192.168.16.96" 

#集群 APISERVER
KUBE_APISERVER="https://192.168.16.96:6443"

#TLS Bootstrapping 使用的 Token,使用 head -c 16 /dev/urandom | od -An -t
 x | tr -d   生成
BOOTSTRAP_TOKEN="d18f94b5fa585c7123f56803d925d2e7"

# 集群网络插件,目前支持calico和flannel
CLUSTER_NETWORK="calico"         #使用三层网络calico,可跨网段
CALICO_IPV4POOL_IPIP="always"
IP_AUTODETECTION_METHOD="can-reach=223.5.5.5"
FLANNEL_BACKEND="vxlan"
SERVICE_CIDR="10.68.0.0/16"
 
# POD 网段 (Cluster CIDR),部署前路由不可达,**部署后**路由可达
CLUSTER_CIDR="172.20.0.0/16" 

# 服务端口范围 (NodePort Range)
NODE_PORT_RANGE="20000-40000"

# kubernetes 服务 IP (预分配,一般是 SERVICE_CIDR 中第一个IP)
CLUSTER_KUBERNETES_SVC_IP="10.68.0.1"
 
# 集群 DNS 服务 IP (从 SERVICE_CIDR 中预分配)
CLUSTER_DNS_SVC_IP="10.68.0.2"

# 集群 DNS 域名
CLUSTER_DNS_DOMAIN="cluster.local."

# etcd 集群间通信的IP和端口, **根据实际 etcd 集群成员设置**
ETCD_NODES="etcd1=https://192.168.16.96:2380,etcd2=https://192.168.16.98:
2380,etcd3=https://192.168.16.99:2380"
 
# etcd 集群服务地址列表, **根据实际 etcd 集群成员设置**
ETCD_ENDPOINTS="https://192.168.16.96:2379,https://192.168.16.98:2379,htt
ps://192.168.16.99:2379"

# 集群basic auth 使用的用户名和密码
BASIC_AUTH_USER="admin"
BASIC_AUTH_PASS="admin"

# ---------附加参数--------------------
#默认二进制文件目录
bin_dir="/usr/local/bin"

#证书目录
ca_dir="/etc/kubernetes/ssl"

#部署目录,即 ansible 工作目录
base_dir="/etc/ansible" 

在容器中查看修改后的hosts文件
/etc/ansible # ls
01.prepare.yml      06.network.yml      hosts
02.etcd.yml         99.clean.yml        manifests
03.docker.yml       ansible.cfg         roles
04.kube-master.yml  bin                 tools
05.kube-node.yml    example
/etc/ansible # cat hosts

.....

8.  部署文件hosts修改完成后先用ansible命令ping一下各节点,默认是无法ping通的。

/etc/ansible # ansible all -m ping
192.168.16.99 | UNREACHABLE! => {
    "changed": false,
    "msg": "Failed to connect to the host via ssh: Warning: Permanently added ‘192.168.16.99‘ (ECDSA) to the list of known hosts.\r\nPermission denied (publickey,gssapi-keyex,gssapi-with-mic,password).\r\n",
    "unreachable": true
}
192.168.16.98 | UNREACHABLE! => {
    "changed": false,
    "msg": "Failed to connect to the host via ssh: Warning: Permanently added ‘192.168.16.98‘ (ECDSA) to the list of known hosts.\r\nPermission denied (publickey,gssapi-keyex,gssapi-with-mic,password).\r\n",
    "unreachable": true
}
192.168.16.96 | UNREACHABLE! => {
    "changed": false,
    "msg": "Failed to connect to the host via ssh: Warning: Permanently added ‘192.168.16.96‘ (ECDSA) to the list of known hosts.\r\nPermission denied (publickey,gssapi-keyex,gssapi-with-mic,password).\r\n",
    "unreachable": true
}
192.168.16.95 | UNREACHABLE! => {
    "changed": false,
    "msg": "Failed to connect to the host via ssh: Warning: Permanently added ‘192.168.16.95‘ (ECDSA) to the list of known hosts.\r\nPermission denied (publickey,gssapi-keyex,gssapi-with-mic,password).\r\n",
    "unreachable": true
}

       需要在容器内生成秘钥,秘钥相关文件存放在/root/.ssh目录

/etc/ansible # ssh-keygen 
回车 回车 回车


发送密钥匙要注意,因为容器并没有做域名解析,因此直接将秘钥发送给主机ip
/etc/ansible # ssh-copy-id 192.168.16.95
/etc/ansible # ssh-copy-id 192.168.16.96
/etc/ansible # ssh-copy-id 192.168.16.98
/etc/ansible # ssh-copy-id 192.168.16.99


秘钥发送完成后就能ping通了
/etc/ansible # ansible all -m ping
192.168.16.99 | SUCCESS => {
    "changed": false,
    "ping": "pong"
}
192.168.16.96 | SUCCESS => {
    "changed": false,
    "ping": "pong"
}
192.168.16.98 | SUCCESS => {
    "changed": false,
    "ping": "pong"
}
192.168.16.95 | SUCCESS => {
    "changed": false,
    "ping": "pong"
}

9. 进入ansible目录,执行.yml文件

/etc/ansible # cd /etc/ansible/
/etc/ansible # ls
01.prepare.yml      06.network.yml      hosts
02.etcd.yml         99.clean.yml        manifests
03.docker.yml       ansible.cfg         roles
04.kube-master.yml  bin                 tools
05.kube-node.yml    example

第一步:准备环境

/etc/ansible # ansible-playbook 01.prepare.yml    

第二步:在三台节点部署etcd服务

/etc/ansible # ansible-playbook 02.etcd.yml 

第三步:在三台节点上安装docker

先清理干净以前的docker环境

[root@node1 ~]# ls
anaconda-ks.cfg  apache2  doc_file  docker  test
[root@node1 ~]# cd doc
doc_file/ docker/  
[root@node1 ~]# cd docker/
[root@node1 docker]# ls
ca.crt  docker-app.tar.gz  docker.sh  remove.sh
[root@node1 docker]# sh remove.sh

[root@node2 ~]# cd docker/
[root@node2 docker]# sh remove.sh
Removed symlink /etc/systemd/system/multi-user.target.wants/docker.service.
[root@node2 docker]# docker images
-bash: /usr/local/bin/docker: No such file or directory

[root@node3 ~]# cd docker/
[root@node3 docker]# sh remove.sh
Removed symlink /etc/systemd/system/multi-user.target.wants/docker.service.
[root@node3 docker]# docker ps
-bash: /usr/local/bin/docker: No such file or directory

安装docker

/etc/ansible # ansible-playbook 03.docker.yml

docker部署完成

/etc/ansible # ansible all -m shell -a docker ps
192.168.16.96 | SUCCESS | rc=0 >>
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

192.168.16.99 | SUCCESS | rc=0 >>
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

192.168.16.98 | SUCCESS | rc=0 >>
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

192.168.16.95 | SUCCESS | rc=0 >>
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
2a08c5849991        1acb4fd5df5b        "/bin/sh"           About an hour ago   Up About an hour                        stupefied_easley

第四步:部署kube-master节点

  在部署kube-master之前要确保/root/.kube目录是映射完成的。

[root@node ansible]# cd
[root@node ~]# ls -a
.                apache2        .bashrc  doc_file  .ssh
..               .bash_history  .cache   docker    .tcshrc
anaconda-ks.cfg  .bash_logout   .config  .kube     test
.ansible         .bash_profile  .cshrc   .pki      .viminfo
[root@node ~]# cd .kube/
[root@node .kube]# ls
config
/etc/ansible # cd /root
~ # ls -a
.             .ansible      .cache        .ssh
..            .ash_history  .kube
~ # cd .kube/
~/.kube # ls
config

部署master

/etc/ansible # ansible-playbook 04.kube-master.yml

第五步:部署node节点

/etc/ansible # ansible-playbook 05.kube-node.yml

将镜像文件发送给各节点,在各节点解压文件

[root@node opt]# cd kubernetes/
[root@node kubernetes]# ls
bash                                 image.tar.gz            scope.yaml
ca.tar.gz                            k8s197.tar.gz           sock-shop
harbor-offline-installer-v1.4.0.tgz  kube-yunwei-197.tar.gz
[root@node kubernetes]# scp image.tar.gz node1:/root
[root@node kubernetes]# scp image.tar.gz node2:/root
[root@node kubernetes]# scp image.tar.gz node3:/root
[root@node1 ~]# ls
anaconda-ks.cfg  apache2  doc_file  docker  image.tar.gz  test
[root@node1 ~]# tar zxf image.tar.gz
[root@node1 ~]# ls
anaconda-ks.cfg  apache2  doc_file  docker  image  image.tar.gz  test
[root@node1 ~]# cd image/
[root@node1 image]# ls
bash-completion-2.1-6.el7.noarch.rpm
calico
coredns-1.0.6.tar.gz
grafana-v4.4.3.tar
heapster-v1.5.1.tar
influxdb-v1.3.3.tar
kubernetes-dashboard-amd64-v1.8.3.tar.gz
pause-amd64-3.1.tar
[root@node2 ~]# ls
anaconda-ks.cfg  apache2  doc_file  docker  image.tar.gz  test
[root@node2 ~]# tar zxf image.tar.gz
[root@node2 ~]# ls
anaconda-ks.cfg  apache2  doc_file  docker  image  image.tar.gz  test
[root@node2 ~]# cd image/
[root@node2 image]# ls
bash-completion-2.1-6.el7.noarch.rpm
calico
coredns-1.0.6.tar.gz
grafana-v4.4.3.tar
heapster-v1.5.1.tar
influxdb-v1.3.3.tar
kubernetes-dashboard-amd64-v1.8.3.tar.gz
pause-amd64-3.1.tar

[root@node3 ~]# ls
anaconda-ks.cfg  apache2  doc_file  docker  image.tar.gz  test
[root@node3 ~]# tar zxf image.tar.gz
[root@node3 ~]# cd image/
[root@node3 image]# ls
bash-completion-2.1-6.el7.noarch.rpm
calico
coredns-1.0.6.tar.gz
grafana-v4.4.3.tar
heapster-v1.5.1.tar
influxdb-v1.3.3.tar
kubernetes-dashboard-amd64-v1.8.3.tar.gz
pause-amd64-3.1.tar

将所有的镜像导入到各节点的容器中,包括calico目录包含的镜像。镜像导入只能一个一个到,不能一次性导入,因此用脚本实现

[root@node1 image]# mv  coredns-1.0.6.tar.gz  heapster-v1.5.1.tar  kubernetes-dashboard-amd64-v1.8.3.tar.gz grafana-v4.4.3.tar    influxdb-v1.3.3.tar  pause-amd64-3.1.tar calico/
[root@node1 image]# cd calico/
[root@node1 calico]# ls
bash-completion-2.1-6.el7.noarch.rpm  calico-kube-controllers-v2.0.4.tar  coredns-1.0.6.tar.gz  heapster-v1.5.1.tar  kubernetes-dashboard-amd64-v1.8.3.tar.gz
calico-cni-v2.0.5.tar                 calico-node-v3.0.6.tar              grafana-v4.4.3.tar    influxdb-v1.3.3.tar  pause-amd64-3.1.tar
[root@node1 calico]# for im in `ls`;do docker load -i $im;done

[root@node1 ~]# cd image/
[root@node1 image]# ls
bash-completion-2.1-6.el7.noarch.rpm  coredns-1.0.6.tar.gz  heapster-v1.5.1.tar  kubernetes-dashboard-amd64-v1.8.3.tar.gz
calico                                grafana-v4.4.3.tar    influxdb-v1.3.3.tar  pause-amd64-3.1.tar
[root@node1 image]#  coredns-1.0.6.tar.gz  heapster-v1.5.1.tar  kubernetes-dashboard-amd64-v1.8.3.tar.gz grafana-v4.4.3.tar    influxdb-v1.3.3.tar  pause-amd64-3.1.tar calico/
[root@node1 image]# cd calico/
[root@node1 calico]# ls
calico-kube-controllers-v2.0.4.tar  coredns-1.0.6.tar.gz  heapster-v1.5.1.tar  kubernetes-dashboard-amd64-v1.8.3.tar.gz
calico-cni-v2.0.5.tar                 calico-node-v3.0.6.tar              grafana-v4.4.3.tar    influxdb-v1.3.3.tar  pause-amd64-3.1.tar
[root@node1 calico]# for im in `ls`;do docker load -i $im;done

[root@node3 ~]# cd image/
[root@node3 image]# ls
bash-completion-2.1-6.el7.noarch.rpm
calico
coredns-1.0.6.tar.gz
grafana-v4.4.3.tar
heapster-v1.5.1.tar
influxdb-v1.3.3.tar
kubernetes-dashboard-amd64-v1.8.3.tar.gz
pause-amd64-3.1.tar
[root@node3 image]#  coredns-1.0.6.tar.gz  heapster-v1.5.1.tar  kubernetes-dashboard-amd64-v1.8.3.tar.gz grafana-v4.4.3.tar    influxdb-v1.3.3.tar  pause-amd64-3.1.tar calico/
[root@node3 image]# cd calico/
[root@node3 calico]# ls
calico-kube-controllers-v2.0.4.tar  coredns-1.0.6.tar.gz  heapster-v1.5.1.tar  kubernetes-dashboard-amd64-v1.8.3.tar.gz
calico-cni-v2.0.5.tar                 calico-node-v3.0.6.tar              grafana-v4.4.3.tar    influxdb-v1.3.3.tar  pause-amd64-3.1.tar
[root@node3 calico]# for im in `ls`;do docker load -i $im;done

第六步:部署网络

/etc/ansible # ansible-playbook 06.network.yml

部署dns,实现容器域名解析

/etc/ansible # ls
01.prepare.yml      05.kube-node.yml    example
02.etcd.yml         06.network.yml      hosts
03.docker.retry     99.clean.yml        manifests
03.docker.yml       ansible.cfg         roles
04.kube-master.yml  bin                 tools
/etc/ansible # cd manifests/
/etc/ansible/manifests # ls
coredns    dashboard  efk        heapster   ingress    kubedns
/etc/ansible/manifests # cd coredns/
/etc/ansible/manifests/coredns # ls
coredns.yaml
error: flag needs an argument: f in -f
/etc/ansible/manifests/coredns # kubectl create -f .
/etc/ansible/manifests/coredns # cd ..
/etc/ansible/manifests # cd dashboard/
/etc/ansible/manifests/dashboard # ls
1.6.3                      ui-admin-rbac.yaml
admin-user-sa-rbac.yaml    ui-read-rbac.yaml
kubernetes-dashboard.yaml
/etc/ansible/manifests/dashboard #  kubectl create -f .
/etc/ansible/manifests/dashboard #cd ..
/etc/ansible/manifests # ls
coredns    dashboard  efk        heapster   ingress    kubedns
/etc/ansible/manifests # cd heapster/
/etc/ansible/manifests/heapster # ls
grafana.yaml      influxdb-v1.1.1   influxdb.yaml
heapster.yaml     influxdb-with-pv
/etc/ansible/manifests/heapster # kubectl create -f ./etc/ansible # ls
01.prepare.yml      05.kube-node.yml    example
02.etcd.yml         06.network.yml      hosts
03.docker.retry     99.clean.yml        manifests
03.docker.yml       ansible.cfg         roles
04.kube-master.yml  bin                 tools
/etc/ansible # cd manifests/
/etc/ansible/manifests # ls
coredns    dashboard  efk        heapster   ingress    kubedns
/etc/ansible/manifests # cd coredns/
/etc/ansible/manifests/coredns # ls
coredns.yaml
error: flag needs an argument: f in -f
/etc/ansible/manifests/coredns # kubectl create -f .
/etc/ansible/manifests/coredns # cd ..
/etc/ansible/manifests # cd dashboard/
/etc/ansible/manifests/dashboard # ls
1.6.3                      ui-admin-rbac.yaml
admin-user-sa-rbac.yaml    ui-read-rbac.yaml
kubernetes-dashboard.yaml
/etc/ansible/manifests/dashboard #  kubectl create -f .
/etc/ansible/manifests/dashboard #cd ..
/etc/ansible/manifests # ls
coredns    dashboard  efk        heapster   ingress    kubedns
/etc/ansible/manifests # cd heapster/
/etc/ansible/manifests/heapster # ls
grafana.yaml      influxdb-v1.1.1   influxdb.yaml
heapster.yaml     influxdb-with-pv
/etc/ansible/manifests/heapster # kubectl create -f .

10> 在部署节点使用kubernetes自己的命令查看kubernetes是否部署完成

查看节点
[root@node ~]# kubectl get node
NAME            STATUS                     ROLES     AGE       VERSION
192.168.16.96   Ready,SchedulingDisabled   <none>    48m       v1.9.7
192.168.16.98   Ready                      <none>    45m       v1.9.7
192.168.16.99   Ready                      <none>    45m       v1.9.7
 命名空间
[root@node ~]# kubectl get ns
NAME          STATUS    AGE
default       Active    50m
kube-public   Active    50m
kube-system   Active    50m

pod
[root@node ~]# kubectl get pod
No resources found.                         #没有指定命名空间

指定命名空间,查看pod
[root@node ~]# kubectl get pod -n kube-system
NAME                                       READY     STATUS    RESTARTS   AGE
calico-kube-controllers-754c88ccc8-rbqlm   1/1       Running   0          23m
calico-node-8zxc4                          2/2       Running   1          23m
calico-node-b2j8n                          2/2       Running   0          23m
calico-node-zw8gg                          2/2       Running   0          23m
coredns-6ff7588dc6-cpmxv                   1/1       Running   0          17m
coredns-6ff7588dc6-pmqsn                   1/1       Running   0          17m
heapster-7f8bf9bc46-4jn5n                  1/1       Running   0          5m
kubernetes-dashboard-545b66db97-rlr88      1/1       Running   0          10m
monitoring-grafana-64747d765f-brbwj        1/1       Running   0          5m
monitoring-influxdb-565ff5f9b6-vrlcq       1/1       Running   0          5m

查看详细信息,加 -o wide
[root@node ~]# kubectl get pod -n kube-system -o wide
NAME                                       READY     STATUS    RESTARTS   AGE       IP              NODE
calico-kube-controllers-754c88ccc8-rbqlm   1/1       Running   0          25m       192.168.16.99   192.168.16.99
calico-node-8zxc4                          2/2       Running   1          25m       192.168.16.99   192.168.16.99
calico-node-b2j8n                          2/2       Running   0          25m       192.168.16.98   192.168.16.98
calico-node-zw8gg                          2/2       Running   0          25m       192.168.16.96   192.168.16.96
coredns-6ff7588dc6-cpmxv                   1/1       Running   0          18m       172.20.104.1    192.168.16.98
coredns-6ff7588dc6-pmqsn                   1/1       Running   0          18m       172.20.135.1    192.168.16.99
heapster-7f8bf9bc46-4jn5n                  1/1       Running   0          6m        172.20.104.3    192.168.16.98
kubernetes-dashboard-545b66db97-rlr88      1/1       Running   0          11m       172.20.104.2    192.168.16.98
monitoring-grafana-64747d765f-brbwj        1/1       Running   0          6m        172.20.135.2    192.168.16.99
monitoring-influxdb-565ff5f9b6-vrlcq       1/1       Running   0          6m        172.20.135.3    192.168.16.99

11> 验证集群是否正常工作

  在集群节点中选择一个一个节点来ping pod的ip,在不同的节点上ping ip,如在node2上ping node3 的ip

[root@node2 calico]# ping 172.20.135.3
PING 172.20.135.3 (172.20.135.3) 56(84) bytes of data.
64 bytes from 172.20.135.3: icmp_seq=1 ttl=63 time=0.495 ms
64 bytes from 172.20.135.3: icmp_seq=2 ttl=63 time=0.423 ms
64 bytes from 172.20.135.3: icmp_seq=3 ttl=63 time=0.744 ms

12> 集群部署完成后打开dashboard界面

先从集群信息获取地址

[root@node ~]#  kubectl cluster-info
Kubernetes master is running at https://192.168.16.96:6443
CoreDNS is running at https://192.168.16.96:6443/api/v1/namespaces/kube-system/services/coredns:dns/proxy
kubernetes-dashboard is running at https://192.168.16.96:6443/api/v1/namespaces/kube-system
/services/https:kubernetes-dashboard:/proxy
monitoring-grafana is running at https://192.168.16.96:6443/api/v1/namespaces/kube-system/services/monitoring-grafana/proxy

复制地址至浏览器,输入用户密码为admin进行访问。

技术图片

获取令牌

[root@node ~]# kubectl -n kube-system describe secret $(kubectl -n kube-system get secret|grep admin-user|awk {print $1})
....
token:      eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJrdWJlLXN5c3RlbSIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJhZG1pbi11c2VyLXRva2VuLXJ0cGJnIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6ImFkbWluLXVzZXIiLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiI1NTk5Nzk4Mi1hOTc3LTExZTktYmZhYy0wMDUwNTYyZDFjY2EiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6a3ViZS1zeXN0ZW06YWRtaW4tdXNlciJ9.Y8I1CePpxpjvjtVC4QrJdJvjN0oclLx_2sNyzr7OxXh5rWguRs2BjeRBybTgm2_bvtnkKlGcm5XMIdpUQPNq__VY4oBCEChOYsuZnzJWGGAZXi0GQWtG83ximTAnMhia0LJ9iOtyK7bNr8F5FWZEm0Z5DBXLhnx94B-8Ljsr_MuOxkCHx1cuPQScWFbOUy8Pp9xVaUofjN9zH2CnzKumAnkRUJOHA1HtsdemU2m6Ih-PTLMZZyq7j7qTRzOuDw3K-RRvzwlNhjPe4oQZglJPKCFw-pkzpOJKfBKwwjKzUaioiUeVd9Cl23ETG69BT_KM_oEKCf9gs1KFfNAb7ixCsg

然后复制该令牌进行登录。

技术图片

 

 技术图片

 

k8s集群部署

标签:下载   dockerd   根据   exec   efault   arc   active   err   mamicode   

原文地址:https://www.cnblogs.com/ajunyu/p/11217777.html

(0)
(0)
   
举报
评论 一句话评论(0
登录后才能评论!
© 2014 mamicode.com 版权所有  联系我们:gaon5@hotmail.com
迷上了代码!