部署在master節點上。html
github上有人將部署方式用playbook實現。node
kubeadm init
kubeadm join
加入集羣[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
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
能夠按照此文檔配置節點互信。github
使用kubernetes v1.11.2docker
使用aliyun源,連接bootstrap
cd /etc/yum.repos.d wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
[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
# 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
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
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
在 /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
[root@master ~]# cat /proc/sys/net/bridge/bridge-nf-call-iptables 1 [root@master ~]# cat /proc/sys/net/bridge/bridge-nf-call-ip6tables 1
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
。
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
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
。
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。
[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: