使用kubeadm部署kubernetes集羣

集羣規劃

網絡配置

  • 節點網絡: 192.168.18.0/24
  • service網絡: 10.96.0.0/12
  • pod網絡: 10.244.0.0/16

etcd

部署在master節點上。html

部署方法:

ansible部署

github上有人將部署方式用playbook實現。node

使用kubeadm部署

基本狀況

  • kubeadm項目連接地址
  • master、node: 安裝kuberlet, kubeadm, docker
  • master: kubeadm init
  • node: kubeadm join
  • apiserver,scheduler,Controller-manager,etcd在master上以Pod運行
  • kubeproxy以Pod方式運行在每個node節點上。
  • 以上pod均爲靜態Pod
  • 每個節點都須要運行flannel(也是以Pod方式運行),以提供Pod網絡
  • kubeadm的介紹

安裝步驟

  1. master,node須要安裝kubelet, kubeadm, docker
  2. master節點上運行 kubeadm init
  3. node節點上運行 kubeadm join 加入集羣

開始部署

個人環境

[root@master yum.repos.d]# cat /etc/redhat-release 
CentOS Linux release 7.4.1708 (Core) 
[root@master yum.repos.d]# uname -a
Linux master 3.10.0-693.el7.x86_64 #1 SMP Tue Aug 22 21:09:27 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

節點解析

經過hosts文件解析linux

192.168.18.128 master.test.com master
192.168.18.129 node01.test.com node01
192.168.18.130 node02.test.com node02

集羣經過時間服務器作時鐘同步,我沒作。git

節點互信

能夠按照此文檔配置節點互信。github

選擇版本

使用kubernetes v1.11.2docker

開始

確保iptables firewalld等未啓動,且不開機自啓動

配置yum倉庫

使用aliyun源,連接bootstrap

docker源使用以下命令獲取

cd /etc/yum.repos.d
wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

kubernetes源

[root@master yum.repos.d]# cat kubernetes.repo 
[kubernetes]
name=Kubernetes Repo
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
enabled=1

查看源是否生效

# yum clean all
# yum repolist
*****
*****
Determining fastest mirrors
kubernetes                                                         243/243
repo id                         repo name                            status
base/7/x86_64                   CentOS-7 - Base - 163.com            9,911
docker-ce-stable/x86_64         Docker CE Stable - x86_64               16
extras/7/x86_64                 CentOS-7 - Extras - 163.com            370
kubernetes                      Kubernetes Repo                        243
updates/7/x86_64                CentOS-7 - Updates - 163.com         1,054
repolist: 11,594

安裝軟件

三臺機器都須要安裝segmentfault

使用 yum install docker-ce kubelet kubeadm kubectl 安裝centos

安裝的軟件包以下:api

Installing : kubectl-1.11.2-0.x86_64                                 1/7 
  Installing : cri-tools-1.11.0-0.x86_64                               2/7 
  Installing : socat-1.7.3.2-2.el7.x86_64                              3/7 
  Installing : kubernetes-cni-0.6.0-0.x86_64                           4/7 
  Installing : kubelet-1.11.2-0.x86_64                                 5/7 
  Installing : kubeadm-1.11.2-0.x86_64                                 6/7 
  Installing : docker-ce-18.06.0.ce-3.el7.x86_64                       7/7

啓動docker服務等

因爲國內網絡緣由,kubernetes的鏡像託管在google雲上,沒法直接下載,須要設置proxy
/usr/lib/systemd/system/docker.service 文件中添加以下兩行

[root@master ~]# cat /usr/lib/systemd/system/docker.service |grep PROXY
Environment="HTTPS_PROXY=http://www.ik8s.io:10080"
Environment="NO_PROXY=127.0.0.0/8,192.168.18.0/24"

以後,啓動docker

systemctl daemon-reload
systemctl start docker
systemctl enable docker

確認proc的這兩個參數以下,均爲1:

[root@master ~]# cat /proc/sys/net/bridge/bridge-nf-call-iptables 
1
[root@master ~]# cat /proc/sys/net/bridge/bridge-nf-call-ip6tables 
1

設置kubelet

查看kubelet安裝生成了哪些文件

[root@master ~]# rpm -ql kubelet
/etc/kubernetes/manifests              # 清單目錄
/etc/sysconfig/kubelet                 # 配置文件
/etc/systemd/system/kubelet.service    # unit file
/usr/bin/kubelet                       # 主程序

默認的配置文件

[root@master ~]# cat /etc/sysconfig/kubelet
KUBELET_EXTRA_ARGS=

修改kubelet的配置文件

[root@master ~]# cat /etc/sysconfig/kubelet
KUBELET_EXTRA_ARGS="--fail-swap-on=false"

此時還沒法正常啓動kubelet,先設置kubelet開機自啓動,使用以下命令: systemctl enable kubelet

kubeadm init

在master節點上執行

kubeadm init --kubernetes-version=v1.11.2 --pod-network-cidr=10.244.0.0/16 --service-cidr=10.96.0.0/12 --ignore-preflight-errors=Swap

kubeadm init的輸出可見於此連接

此命令,下載了以下image

[root@master ~]# docker images
REPOSITORY                                 TAG                 IMAGE ID            CREATED             SIZE
k8s.gcr.io/kube-proxy-amd64                v1.11.2             46a3cd725628        7 days ago          97.8MB
k8s.gcr.io/kube-apiserver-amd64            v1.11.2             821507941e9c        7 days ago          187MB
k8s.gcr.io/kube-controller-manager-amd64   v1.11.2             38521457c799        7 days ago          155MB
k8s.gcr.io/kube-scheduler-amd64            v1.11.2             37a1403e6c1a        7 days ago          56.8MB
k8s.gcr.io/coredns                         1.1.3               b3b94275d97c        2 months ago        45.6MB
k8s.gcr.io/etcd-amd64                      3.2.18              b8df3b177be2        4 months ago        219MB
k8s.gcr.io/pause                           3.1                 da86e6ba6ca1        7 months ago        742kB

如今,正在運行的docker以下

[root@master ~]# docker ps
CONTAINER ID        IMAGE                  COMMAND                  CREATED             STATUS              PORTS               NAMES
1c03e043e6b7        46a3cd725628           "/usr/local/bin/kube??   3 minutes ago       Up 3 minutes                            k8s_kube-proxy_kube-proxy-6fgjm_kube-system_f85e8660-a090-11e8-8ee7-000c29f71e04_0
5f166bd11566        k8s.gcr.io/pause:3.1   "/pause"                 3 minutes ago       Up 3 minutes                            k8s_POD_kube-proxy-6fgjm_kube-system_f85e8660-a090-11e8-8ee7-000c29f71e04_0
0f306f98cc52        b8df3b177be2           "etcd --advertise-cl??   3 minutes ago       Up 3 minutes                            k8s_etcd_etcd-master_kube-system_2cc1c8a24b68ab9b46bca47e153e74c6_0
8f01317b9e20        37a1403e6c1a           "kube-scheduler --ad??   3 minutes ago       Up 3 minutes                            k8s_kube-scheduler_kube-scheduler-master_kube-system_a00c35e56ebd0bdfcd77d53674a5d2a1_0
4e6a71ab20d3        821507941e9c           "kube-apiserver --au??   3 minutes ago       Up 3 minutes                            k8s_kube-apiserver_kube-apiserver-master_kube-system_d25d40ebb427821464356bb27a38f487_0
69e4c5dae335        38521457c799           "kube-controller-man??   3 minutes ago       Up 3 minutes                            k8s_kube-controller-manager_kube-controller-manager-master_kube-system_6363f7ebf727b0b95d9a9ef72516a0e5_0
da5981dc546a        k8s.gcr.io/pause:3.1   "/pause"                 3 minutes ago       Up 3 minutes                            k8s_POD_kube-controller-manager-master_kube-system_6363f7ebf727b0b95d9a9ef72516a0e5_0
b7a8fdc35029        k8s.gcr.io/pause:3.1   "/pause"                 3 minutes ago       Up 3 minutes                            k8s_POD_kube-apiserver-master_kube-system_d25d40ebb427821464356bb27a38f487_0
b09efc7ff7bd        k8s.gcr.io/pause:3.1   "/pause"                 3 minutes ago       Up 3 minutes                            k8s_POD_kube-scheduler-master_kube-system_a00c35e56ebd0bdfcd77d53674a5d2a1_0
ab11d6ffadab        k8s.gcr.io/pause:3.1   "/pause"                 3 minutes ago       Up 3 minutes                            k8s_POD_etcd-master_kube-system_2cc1c8a24b68ab9b46bca47e153e74c6_0

node節點能夠經過以下命令加入集羣 kubeadm join 192.168.18.128:6443 --token n84v6t.c7d83cn4mo2z8wyr --discovery-token-ca-cert-hash sha256:b946c145416fe1995e1d4d002c149e71a897acc7b106d94cee2920cb2c85ce29

在kubeadm init的輸出中,提示咱們須要以普通用戶作以下操做,我此時用root執行

[root@master ~]# mkdir -p $HOME/.kube
[root@master ~]# cp -i /etc/kubernetes/admin.conf $HOME/.kube/config

此時能夠經過 kubelet get 獲取各類資源信息。好比

[root@master ~]# kubectl get cs
NAME                 STATUS    MESSAGE              ERROR
scheduler            Healthy   ok                   
controller-manager   Healthy   ok                   
etcd-0               Healthy   {"health": "true"}

此時的監聽狀態

[root@master ~]# ss -tnl
State       Recv-Q Send-Q Local Address:Port               Peer Address:Port              
LISTEN      0      128    127.0.0.1:2379                  *:*                  
LISTEN      0      128    127.0.0.1:10251                 *:*                  
LISTEN      0      128    127.0.0.1:2380                  *:*                  
LISTEN      0      128    127.0.0.1:10252                 *:*                  
LISTEN      0      128       *:22                    *:*                  
LISTEN      0      128    127.0.0.1:33881                 *:*                  
LISTEN      0      100    127.0.0.1:25                    *:*                  
LISTEN      0      128    192.168.18.128:10010                 *:*                  
LISTEN      0      128    127.0.0.1:10248                 *:*                  
LISTEN      0      128    127.0.0.1:10249                 *:*                  
LISTEN      0      128      :::6443                 :::*                  
LISTEN      0      128      :::10256                :::*                  
LISTEN      0      128      :::22                   :::*                  
LISTEN      0      100     ::1:25                   :::*                  
LISTEN      0      128      :::10250                :::*

此時的節點狀態

[root@master ~]# kubectl get nodes
NAME      STATUS     ROLES     AGE       VERSION
master    NotReady   master    9m        v1.11.2

狀態爲 NotReady , 須要部署 flannel,連接

部署flannel

在文檔中,找到以下命令,部署

[root@master ~]# kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.extensions/kube-flannel-ds-amd64 created
daemonset.extensions/kube-flannel-ds-arm64 created
daemonset.extensions/kube-flannel-ds-arm created
daemonset.extensions/kube-flannel-ds-ppc64le created
daemonset.extensions/kube-flannel-ds-s390x created

按以下方法查看:

[root@master ~]# kubectl get pods -n  kube-system
NAME                             READY     STATUS    RESTARTS   AGE
coredns-78fcdf6894-cv4gp         1/1       Running   0          13m
coredns-78fcdf6894-wmd25         1/1       Running   0          13m
etcd-master                      1/1       Running   0          49s
kube-apiserver-master            1/1       Running   0          49s
kube-controller-manager-master   1/1       Running   0          48s
kube-flannel-ds-amd64-r42wr      1/1       Running   0          2m
kube-proxy-6fgjm                 1/1       Running   0          13m
kube-scheduler-master            1/1       Running   0          48s
[root@master ~]# docker images |grep flannel
quay.io/coreos/flannel                     v0.10.0-amd64       f0fad859c909        6 months ago        44.6MB
[root@master ~]# kubectl get nodes
NAME      STATUS    ROLES     AGE       VERSION
master    Ready     master    14m       v1.11.2

此時master節點狀態變爲 Ready

在node節點上執行 kubeadm join 命令

使用master節點執行 kubeadm init 命令的輸出,在node上執行,使其加入集羣。

[root@node01 ~]#   kubeadm join 192.168.18.128:6443 --token n84v6t.c7d83cn4mo2z8wyr --discovery-token-ca-cert-hash sha256:b946c145416fe1995e1d4d002c149e71a897acc7b106d94cee2920cb2c85ce29 --ignore-preflight-errors=Swap

[preflight] running pre-flight checks
    [WARNING RequiredIPVSKernelModulesAvailable]: the IPVS proxier will not be used, because the following required kernel modules are not loaded: [ip_vs ip_vs_rr ip_vs_wrr ip_vs_sh] or no builtin kernel ipvs support: map[ip_vs_sh:{} nf_conntrack_ipv4:{} ip_vs:{} ip_vs_rr:{} ip_vs_wrr:{}]
you can solve this problem with following methods:
 1. Run 'modprobe -- ' to load missing kernel modules;
2. Provide the missing builtin kernel ipvs support

    [WARNING Swap]: running with swap on is not supported. Please disable swap
I0815 22:02:30.751069   15460 kernel_validator.go:81] Validating kernel version
I0815 22:02:30.751145   15460 kernel_validator.go:96] Validating kernel config
    [WARNING SystemVerification]: docker version is greater than the most recently validated version. Docker version: 18.06.0-ce. Max validated version: 17.03
[discovery] Trying to connect to API Server "192.168.18.128:6443"
[discovery] Created cluster-info discovery client, requesting info from "https://192.168.18.128:6443"
[discovery] Requesting info from "https://192.168.18.128:6443" again to validate TLS against the pinned public key
[discovery] Cluster info signature and contents are valid and TLS certificate validates against pinned roots, will use API Server "192.168.18.128:6443"
[discovery] Successfully established connection with API Server "192.168.18.128:6443"
[kubelet] Downloading configuration for the kubelet from the "kubelet-config-1.11" ConfigMap in the kube-system namespace
[kubelet] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[preflight] Activating the kubelet service
[tlsbootstrap] Waiting for the kubelet to perform the TLS Bootstrap...
[patchnode] Uploading the CRI Socket information "/var/run/dockershim.sock" to the Node API object "node01" as an annotation

This node has joined the cluster:
* Certificate signing request was sent to master and a response
  was received.
* The Kubelet was informed of the new secure connection details.

Run 'kubectl get nodes' on the master to see this node join the cluster.

在兩個節點上,執行完畢上述命令後,在master上查看

[root@master ~]# kubectl get nodes
NAME      STATUS    ROLES     AGE       VERSION
master    Ready     master    23m       v1.11.2
node01    Ready     <none>    2m        v1.11.2
node02    Ready     <none>    1m        v1.11.2

部署成功。

部署完成後的觀察

檢查如今正在運行的pod

[root@master ~]# kubectl get pods -n kube-system -o wide
NAME                             READY     STATUS    RESTARTS   AGE       IP               NODE      NOMINATED NODE
coredns-78fcdf6894-cv4gp         1/1       Running   0          28m       10.244.0.3       master    <none>
coredns-78fcdf6894-wmd25         1/1       Running   0          28m       10.244.0.2       master    <none>
etcd-master                      1/1       Running   0          15m       192.168.18.128   master    <none>
kube-apiserver-master            1/1       Running   0          15m       192.168.18.128   master    <none>
kube-controller-manager-master   1/1       Running   0          15m       192.168.18.128   master    <none>
kube-flannel-ds-amd64-48rvq      1/1       Running   3          6m        192.168.18.130   node02    <none>
kube-flannel-ds-amd64-7dw42      1/1       Running   3          7m        192.168.18.129   node01    <none>
kube-flannel-ds-amd64-r42wr      1/1       Running   0          16m       192.168.18.128   master    <none>
kube-proxy-6fgjm                 1/1       Running   0          28m       192.168.18.128   master    <none>
kube-proxy-6mngv                 1/1       Running   0          7m        192.168.18.129   node01    <none>
kube-proxy-9sh2n                 1/1       Running   0          6m        192.168.18.130   node02    <none>
kube-scheduler-master            1/1       Running   0          15m       192.168.18.128   master    <none>

能夠發現:

  1. kube-apiserver, kube-scheduler, kube-controller,etcd-master運行在master上,
  2. kube-flannel在三個節點上均有運行
  3. kube-proxy 在三個節點均有運行
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