[toc] #1、环境准备node
| IP地址 | 节点角色 | CPU | Memory | Hostname | Docker version |
|---|---|---|---|---|---|
| 192.168.56.110 | master | >=2c | >=2G | k8s-master | 19.03 |
| 192.168.56.120 | node | >=2c | >=2G | k8s-node01 | 19.03 |
| 192.168.56.130 | node | >=2c | >=2G | k8s-node02 | 19.03 |
全部节点如下操做：linux
一、设置各主机的主机名，管理节点为k8s-masternginx
# hostnamectl set-hostname k8s-master # hostnamectl set-hostname k8s-node01 # hostnamectl set-hostname k8s-node02
二、编辑/etc/hosts文件，添加域名解析git
cat <<EOF >> /etc/hosts 192.168.56.110 k8s-master 192.168.56.120 k8s-node01 192.168.56.130 k8s-node02 EOF
三、关闭防火墙、selinux、swapgithub
# systemctl stop firewalld # systemctl disable firewalld # setenforce 0 # sed -i "s/^SELINUX=enforcing/SELINUX=disabled/g" /etc/selinux/config # swapoff -a # sed -i 's/.*swap.*/#&/' /etc/fstab
四、配置内核参数，将桥接的ipv4流量进行转发到iptablesdocker
# cat > /etc/sysctl.d/k8s.conf <<EOF net.bridge.bridge-nf-call-ip6tables = 1 net.bridge.bridge-nf-call-iptables = 1 EOF # sysctl -p
五、配置国内的YUM源bootstrap
# mv /etc/yum.repos.d/CentOS-Base.repo /etc/yum.repos.d/CentOS-Base.repo.backup # wget -O /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo # wget -O /etc/yum.repos.d/epel.repo http://mirrors.aliyun.com/repo/epel-7.repo # yum clean all && yum makecache
六、配置国内Kubernetes源和docker源vim
# 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 # cd /etc/yum.repos.d/ && wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
2、软件安装
注：在全部节点上进行以下操做centos
一、安装dockerapi
# yum list docker-ce.x86_64 --showduplicates |sort -r #查看docker的版本 # yum install docker-ce #安装默认最新版本 # yum install docker-ce-18.09.8.ce-3.el7 #安装指定版本 # systemctl enable docker && systemctl start docker # docker -version
二、安装kubeadm、kubelet、kubectl
# yum install -y kubelet kubeadm kubectl # systemctl enable kubelet 修改cgroups，在末尾加上"--cgroup-driver=cgroupfs" # vim /usr/lib/systemd/system/kubelet.service.d/10-kubeadm.conf Environment="KUBELET_KUBECONFIG_ARGS=--bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf --cgroup-driver=cgroupfs"
#3、部署master节点
一、在master节点上进行Kubernetes集群初始化
定义pod的网段为：10.244.0.0/16，api-server为本机ip地址。因为国内没法访问国外的镜像，这里经过--image-repository来指定阿里云镜像仓库地址。
[root@k8s-master ~]# kubeadm init --kubernetes-version=1.15.2 --pod-network-cidr=10.244.0.0/16 --image-repository registry.aliyuncs.com/google_containers --service-cidr=10.96.0.0/12 --ignore-preflight-errors=Swap
[init] Using Kubernetes version: v1.15.2
[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: 19.03.1. 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-kubelet-client" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [k8s-master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.56.110]
[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/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master localhost] and IPs [192.168.56.110 127.0.0.1 ::1]
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [k8s-master localhost] and IPs [192.168.56.110 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-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
[apiclient] All control plane components are healthy after 24.014258 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.15" 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-master as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node k8s-master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: klo2o3.77512ufwsjxzp9ws
[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-proxy
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 192.168.56.110:6443 --token klo2o3.77512ufwsjxzp9ws \
--discovery-token-ca-cert-hash sha256:d8561c1deed76a67e6c665b3bbd9c59d076d6bcd93bc79291890aa49a5c7386e
这里须要记录好其余节点加入Kubernetes集群的命令！
root@k8s-master ~]# kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/a70459be0084506e4ec919aa1c114638878db11b/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
二、配置kubectl工具
[root@k8s-master ~]# export KUBECONFIG=/etc/kubernetes/admin.conf
#此处若是没有声明环境变量，是没有加载管理k8s集群的权限的，此时去查看集群，会提示拒绝了该请求。以下：The connection to the server localhost:8080 was refused - did you specify the right host or port?
#或者采用上面提示的方案：
[root@k8s-master ~]# mkdir -p /root/.kube
[root@k8s-master ~]# cp -i /etc/kubernetes/admin.conf /root/.kube/config
[root@k8s-master ~]# kubectl get cs
NAME STATUS MESSAGE ERROR
scheduler Healthy ok
controller-manager Healthy ok
etcd-0 Healthy {"health":"true"}
[root@k8s-master ~]# kubectl get node
NAME STATUS ROLES AGE VERSION
k8s-master NotReady master 2m10s v1.15.2
三、部署flannel网络
因为没法访问国外的镜像，而阿里云的仓库须要登陆，这里找到另一个站点进行下载镜像
# mkdir k8s && cd k8s # curl -O https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml # docker pull quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64 # docker tag quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64 quay.io/coreos/flannel:v0.11.0-amd64 # kubectl apply -f kube-flannel.yml # kubectl get pods -n kube-system NAME READY STATUS RESTARTS AGE coredns-bccdc95cf-ghfrp 1/1 Running 0 129m coredns-bccdc95cf-h4tch 1/1 Running 0 129m etcd-k8s-master 1/1 Running 0 128m kube-apiserver-k8s-master 1/1 Running 0 128m kube-controller-manager-k8s-master 1/1 Running 0 128m kube-flannel-ds-amd64-r2hmf 1/1 Running 0 111m kube-flannel-ds-amd64-zwt6l 1/1 Running 0 36m kube-proxy-czjzf 1/1 Running 0 129m kube-proxy-ts4nf 1/1 Running 0 36m kube-scheduler-k8s-master 1/1 Running 0 128m
看到以上的pod都处于Running状态，集群状态即为正常运行，这里须要注意的是，因为master节点在集群初始化，是带有污点的，不容许pod进行调度到master节点之上，相关的信息以下：Taints: node-role.kubernetes.io/master:NoSchedule
4、部署node节点
在全部node节点上操做
这里须要注意的是node节点上也须要部署flannel、pause、kube-proxy的pod，因此须要预先进行下载镜像，其中须要的镜像分别为：k8s.gcr.io/kube-proxy-amd64:v1.15.2 quay.io/coreos/flannel:v0.11.0-amd64 k8s.gcr.io/pause:3.1
# kubeadm join 192.168.56.110:6443 --token klo2o3.77512ufwsjxzp9ws \
--discovery-token-ca-cert-hash sha256:d8561c1deed76a67e6c665b3bbd9c59d076d6bcd93bc79291890aa49a5c7386e
5、集群状态检测
在master上操做
一、在master上进行检查集群状态，返回以下结果则正常。重点查看STATUS内容为Ready时，则说明集群状态正常。
[root@k8s-master ~]# kubectl get nodes NAME STATUS ROLES AGE VERSION k8s-master Ready master 17h v1.15.2 k8s-node01 Ready <none> 16h v1.15.2 k8s-node02 Ready <none> 11s v1.15.2
二、建立Pod，验证集群
[root@k8s-master ~]# kubectl create deployment nginx --image=nginx deployment.apps/nginx created [root@k8s-master ~]# kubectl expose deployment nginx --port=80 --type=NodePort service/nginx exposed [root@k8s-master ~]# kubectl get pod,svc NAME READY STATUS RESTARTS AGE pod/nginx-554b9c67f9-lw4jw 1/1 Running 0 2m54s NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 139m service/nginx NodePort 10.110.217.32 <none> 80:30282/TCP 2m42s [root@k8s-master ~]# curl http://192.168.56.110:30282/