使用kubeadm搭建kubernetes1.10集群 Posted on April 14, 2018

https://blog.qikqiak.com/post/use-kubeadm-install-kubernetes-1.10/

kubeadm是Kubernetes官方提供的用于快速安装 Kubernetes 集群的工具，通过将集群的各个组件进行容器化安装管理，通过kubeadm的方式安装集群比二进制的方式安装要方便不少，但是目录kubeadm还处于beta状态，还不能用于生产环境，Using kubeadm to Create a Cluster文档中已经说明kubeadm将会很快能够用于生产环境了。

所以现在来了解下kubeadm的使用方式的话还是很有必要的，对于现阶段想要用于生产环境的，建议还是参考我们前面的文章：手动搭建高可用的kubernetes 集群或者视频教程。

环境

我们这里准备两台Centos7的主机用于安装，后续节点可以根究需要添加即可：

$ cat /etc/hosts

10.151.30.57 ydzs-master1

10.151.30.62 evjfaxic

禁用防火墙：

$ systemctl stop firewalld

$ systemctl disable firewalld

禁用SELINUX：

$ setenforce 0

$ cat /etc/selinux/config

SELINUX=disabled

创建/etc/sysctl.d/k8s.conf文件，添加如下内容：

net.bridge.bridge-nf-call-ip6tables = 1

net.bridge.bridge-nf-call-iptables = 1

net.ipv4.ip_forward = 1

执行如下命令使修改生效：

$ modprobe br_netfilter

$ sysctl -p /etc/sysctl.d/k8s.conf

镜像

如果你的节点上面有科学上网的工具，可以忽略这一步，我们需要提前将所需的gcr.io上面的镜像下载到节点上面，当然前提条件是你已经成功安装了docker。

master节点，执行下面的命令：

docker pull cnych/kube-apiserver-amd64:v1.10.0

docker pull cnych/kube-scheduler-amd64:v1.10.0

docker pull cnych/kube-controller-manager-amd64:v1.10.0

docker pull cnych/kube-proxy-amd64:v1.10.0

docker pull cnych/k8s-dns-kube-dns-amd64:1.14.8

docker pull cnych/k8s-dns-dnsmasq-nanny-amd64:1.14.8

docker pull cnych/k8s-dns-sidecar-amd64:1.14.8

docker pull cnych/etcd-amd64:3.1.12

docker pull cnych/flannel:v0.10.0-amd64

docker pull cnych/pause-amd64:3.1

docker tag cnych/kube-apiserver-amd64:v1.10.0 k8s.gcr.io/kube-apiserver-amd64:v1.10.0

docker tag cnych/kube-scheduler-amd64:v1.10.0 k8s.gcr.io/kube-scheduler-amd64:v1.10.0

docker tag cnych/kube-controller-manager-amd64:v1.10.0 k8s.gcr.io/kube-controller-manager-amd64:v1.10.0

docker tag cnych/kube-proxy-amd64:v1.10.0 k8s.gcr.io/kube-proxy-amd64:v1.10.0

docker tag cnych/k8s-dns-kube-dns-amd64:1.14.8 k8s.gcr.io/k8s-dns-kube-dns-amd64:1.14.8

docker tag cnych/k8s-dns-dnsmasq-nanny-amd64:1.14.8 k8s.gcr.io/k8s-dns-dnsmasq-nanny-amd64:1.14.8

docker tag cnych/k8s-dns-sidecar-amd64:1.14.8 k8s.gcr.io/k8s-dns-sidecar-amd64:1.14.8

docker tag cnych/etcd-amd64:3.1.12 k8s.gcr.io/etcd-amd64:3.1.12

docker tag cnych/flannel:v0.10.0-amd64 quay.io/coreos/flannel:v0.10.0-amd64

docker tag cnych/pause-amd64:3.1 k8s.gcr.io/pause-amd64:3.1

可以将上面的命令保存为一个shell脚本，然后直接执行即可。这些镜像是在master节点上需要使用到的镜像，一定要提前下载下来。

其他Node，执行下面的命令：

docker pull cnych/kube-proxy-amd64:v1.10.0

docker pull cnych/flannel:v0.10.0-amd64

docker pull cnych/pause-amd64:3.1

docker pull cnych/kubernetes-dashboard-amd64:v1.8.3

docker pull cnych/heapster-influxdb-amd64:v1.3.3

docker pull cnych/heapster-grafana-amd64:v4.4.3

docker pull cnych/heapster-amd64:v1.4.2

docker tag cnych/flannel:v0.10.0-amd64 quay.io/coreos/flannel:v0.10.0-amd64

docker tag cnych/pause-amd64:3.1 k8s.gcr.io/pause-amd64:3.1

docker tag cnych/kube-proxy-amd64:v1.10.0 k8s.gcr.io/kube-proxy-amd64:v1.10.0

docker tag cnych/kubernetes-dashboard-amd64:v1.8.3 k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.3

docker tag cnych/heapster-influxdb-amd64:v1.3.3 k8s.gcr.io/heapster-influxdb-amd64:v1.3.3

docker tag cnych/heapster-grafana-amd64:v4.4.3 k8s.gcr.io/heapster-grafana-amd64:v4.4.3

docker tag cnych/heapster-amd64:v1.4.2 k8s.gcr.io/heapster-amd64:v1.4.2

上面的这些镜像是在Node节点中需要用到的镜像，在join节点之前也需要先下载到节点上面。

安装 kubeadm、kubelet、kubectl

在确保docker安装完成后，上面的相关环境配置也完成了，对应所需要的镜像(如果可以科学上网可以跳过这一步)也下载完成了，现在我们就可以来安装kubeadm了，我们这里是通过指定yum源的方式来进行安装的：

cat <<EOF > /etc/yum.repos.d/kubernetes.repo

[kubernetes]

name=Kubernetes

baseurl=https://packages.cloud.google.com/yum/repos/kubernetes-el7-x86_64

enabled=1

gpgcheck=1

repo_gpgcheck=1

gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg

        https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg

EOF

当然了，上面的yum源也是需要科学上网的，如果不能科学上网的话，我们可以使用阿里云的源进行安装：

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/yum-key.gpg

        http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg

EOF

目前阿里云的源最新版本已经是1.10版本，所以可以直接安装。yum源配置完成后，执行安装命令即可：

$ yum makecache fast && yum install -y kubelet kubeadm kubectl

正常情况我们可以都能顺利安装完成上面的文件。

配置 kubelet

安装完成后，我们还需要对kubelet进行配置，因为用yum源的方式安装的kubelet生成的配置文件将参数--cgroup-driver改成了systemd，而docker的cgroup-driver是cgroupfs，这二者必须一致才行，我们可以通过docker info命令查看：

$ docker info |grep Cgroup

Cgroup Driver: cgroupfs

修改文件kubelet的配置文件/etc/systemd/system/kubelet.service.d/10-kubeadm.conf，将其中的KUBELET_CGROUP_ARGS参数更改成cgroupfs：

Environment="KUBELET_CGROUP_ARGS=--cgroup-driver=cgroupfs"

另外还有一个问题是关于交换分区的，之前我们在手动搭建高可用的kubernetes 集群一文中已经提到过，Kubernetes从1.8开始要求关闭系统的 Swap ，如果不关闭，默认配置的kubelet将无法启动，我们可以通过 kubelet 的启动参数--fail-swap-on=false更改这个限制，所以我们需要在上面的配置文件中增加一项配置(在ExecStart之前)：

Environment="KUBELET_EXTRA_ARGS=--fail-swap-on=false"

当然最好的还是将swap给关掉，这样能提高kubelet的性能。修改完成后，重新加载我们的配置文件即可：

$ systemctl daemon-reload

集群安装

初始化

到这里我们的准备工作就完成了，接下来我们就可以在master节点上用kubeadm命令来初始化我们的集群了：

$ kubeadm init --kubernetes-version=v1.10.0 --pod-network-cidr=10.244.0.0/16 --apiserver-advertise-address=10.151.30.57

命令非常简单，就是kubeadm init，后面的参数是需要安装的集群版本，因为我们这里选择flannel作为 Pod 的网络插件，所以需要指定–pod-network-cidr=10.244.0.0/16，然后是apiserver的通信地址，这里就是我们master节点的IP 地址。执行上面的命令，如果出现 running with swap on is not supported. Please disable swap之类的错误，则我们还需要增加一个参数–ignore-preflight-errors=Swap来忽略swap的错误提示信息：

$ kubeadm init \

   --kubernetes-version=v1.10.0 \

   --pod-network-cidr=10.244.0.0/16 \

   --apiserver-advertise-address=10.151.30.57 \

   --ignore-preflight-errors=Swap

[init] Using Kubernetes version: v1.10.0

[init] Using Authorization modes: [Node RBAC]

[preflight] Running pre-flight checks.

    [WARNING FileExisting-crictl]: crictl not found in system path

Suggestion: go get github.com/kubernetes-incubator/cri-tools/cmd/crictl

[preflight] Starting the kubelet service

[certificates] Generated ca certificate and key.

[certificates] Generated apiserver certificate and key.

[certificates] apiserver serving cert is signed for DNS names [ydzs-master1 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 10.151.30.57]

[certificates] Generated apiserver-kubelet-client certificate and key.

[certificates] Generated etcd/ca certificate and key.

[certificates] Generated etcd/server certificate and key.

[certificates] etcd/server serving cert is signed for DNS names [localhost] and IPs [127.0.0.1]

[certificates] Generated etcd/peer certificate and key.

[certificates] etcd/peer serving cert is signed for DNS names [ydzs-master1] and IPs [10.151.30.57]

[certificates] Generated etcd/healthcheck-client certificate and key.

[certificates] Generated apiserver-etcd-client certificate and key.

[certificates] Generated sa key and public key.

[certificates] Generated front-proxy-ca certificate and key.

[certificates] Generated front-proxy-client certificate and key.

[certificates] Valid certificates and keys now exist in "/etc/kubernetes/pki"

[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/admin.conf"

[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/kubelet.conf"

[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/controller-manager.conf"

[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/scheduler.conf"

[controlplane] Wrote Static Pod manifest for component kube-apiserver to "/etc/kubernetes/manifests/kube-apiserver.yaml"

[controlplane] Wrote Static Pod manifest for component kube-controller-manager to "/etc/kubernetes/manifests/kube-controller-manager.yaml"

[controlplane] Wrote Static Pod manifest for component kube-scheduler to "/etc/kubernetes/manifests/kube-scheduler.yaml"

[etcd] Wrote Static Pod manifest for a local etcd instance to "/etc/kubernetes/manifests/etcd.yaml"

[init] Waiting for the kubelet to boot up the control plane as Static Pods from directory "/etc/kubernetes/manifests".

[init] This might take a minute or longer if the control plane images have to be pulled.

[apiclient] All control plane components are healthy after 22.007661 seconds

[uploadconfig] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace

[markmaster] Will mark node ydzs-master1 as master by adding a label and a taint

[markmaster] Master ydzs-master1 tainted and labelled with key/value: node-role.kubernetes.io/master=""

[bootstraptoken] Using token: 8xomlq.0cdf2pbvjs2gjho3

[bootstraptoken] Configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials

[bootstraptoken] Configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token

[bootstraptoken] Configured RBAC rules to allow certificate rotation for all node client certificates in the cluster

[bootstraptoken] Creating the "cluster-info" ConfigMap in the "kube-public" namespace

[addons] Applied essential addon: kube-dns

[addons] Applied essential addon: kube-proxy

Your Kubernetes master 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/

You can now join any number of machines by running the following on each node

as root:

  kubeadm join 10.151.30.57:6443 --token 8xomlq.0cdf2pbvjs2gjho3 --discovery-token-ca-cert-hash sha256:92802317cb393682c1d1356c15e8b4ec8af2b8e5143ffd04d8be4eafb5fae368

上面的信息记录了kubeadm初始化整个集群的过程，生成相关的各种证书、kubeconfig文件、bootstraptoken等等，后边是使用kubeadm join往集群中添加节点时用到的命令，下面的命令是配置如何使用kubectl访问集群的方式： mkdir -p $HOME/.kube sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config sudo chown $(id -u):$(id -g) $HOME/.kube/config 最后给出了将节点加入集群的命令：

kubeadm join 10.151.30.57:6443 --token 8xomlq.0cdf2pbvjs2gjho3 --discovery-token-ca-cert-hash sha256:92802317cb393682c1d1356c15e8b4ec8af2b8e5143ffd04d8be4eafb5fae368

我们根据上面的提示配置好kubectl后，就可以使用kubectl来查看集群的信息了：

$ kubectl get cs

NAME                 STATUS    MESSAGE              ERROR

scheduler            Healthy   ok

controller-manager   Healthy   ok

etcd-0               Healthy   {"health": "true"}

$ kubectl get csr

NAME                                                   AGE       REQUESTOR                 CONDITION

node-csr-8qygb8Hjxj-byhbRHawropk81LHNPqZCTePeWoZs3-g   1h        system:bootstrap:8xomlq   Approved,Issued

$ kubectl get nodes

NAME           STATUS    ROLES     AGE       VERSION

ydzs-master1   Ready     master    3h        v1.10.0

如果你的集群安装过程中遇到了其他问题，我们可以使用下面的命令来进行重置：

$ kubeadm reset

$ ifconfig cni0 down && ip link delete cni0

$ ifconfig flannel.1 down && ip link delete flannel.1

$ rm -rf /var/lib/cni/

安装 Pod Network

接下来我们来安装flannel网络插件，很简单，和安装普通的POD没什么两样：

$ wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

$ kubectl apply -f  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" created

另外需要注意的是如果你的节点有多个网卡的话，需要在kube-flannel.yml中使用--iface参数指定集群主机内网网卡的名称，否则可能会出现dns无法解析。flanneld启动参数加上--iface=<iface-name>

args:

- --ip-masq

- --kube-subnet-mgr

- --iface=eth0

安装完成后使用kubectl get pods命令可以查看到我们集群中的组件运行状态，如果都是Running状态的话，那么恭喜你，你的master节点安装成功了。

$ kubectl get pods --all-namespaces

NAMESPACE     NAME                                   READY     STATUS    RESTARTS   AGE

kube-system   etcd-ydzs-master1                      1/1       Running   0          10m

kube-system   kube-apiserver-ydzs-master1            1/1       Running   0          10m

kube-system   kube-controller-manager-ydzs-master1   1/1       Running   0          10m

kube-system   kube-dns-86f4d74b45-f5595              3/3       Running   0          10m

kube-system   kube-flannel-ds-qxjs2                  1/1       Running   0          1m

kube-system   kube-proxy-vf5fg                       1/1       Running   0          10m

kube-system   kube-scheduler-ydzs-master1            1/1       Running   0          10m

kubeadm初始化完成后，默认情况下Pod是不会被调度到master节点上的，所以现在还不能直接测试普通的Pod，需要添加一个工作节点后才可以。

添加节点

同样的上面的环境配置、docker 安装、kubeadmin、kubelet、kubectl 这些都在Node(10.151.30.62)节点安装配置好过后，我们就可以直接在 Node 节点上执行kubeadm join命令了（上面初始化的时候有），同样加上参数--ignore-preflight-errors=Swap:

$ kubeadm join 10.151.30.57:6443 --token 8xomlq.0cdf2pbvjs2gjho3 --discovery-token-ca-cert-hash sha256:92802317cb393682c1d1356c15e8b4ec8af2b8e5143ffd04d8be4eafb5fae368 --ignore-preflight-errors=Swap

[preflight] Running pre-flight checks.

    [WARNING Swap]: running with swap on is not supported. Please disable swap

    [WARNING FileExisting-crictl]: crictl not found in system path

Suggestion: go get github.com/kubernetes-incubator/cri-tools/cmd/crictl

[discovery] Trying to connect to API Server "10.151.30.57:6443"

[discovery] Created cluster-info discovery client, requesting info from "https://10.151.30.57:6443"

[discovery] Requesting info from "https://10.151.30.57:6443" 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 "10.151.30.57:6443"

[discovery] Successfully established connection with API Server "10.151.30.57:6443"

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.

我们可以看到该节点已经加入到集群中去了，然后我们把master节点的~/.kube/config文件拷贝到当前节点对应的位置即可使用kubectl命令行工具了。

$ kubectl get nodes

NAME           STATUS    ROLES     AGE       VERSION

evjfaxic       Ready     <none>    1h        v1.10.0

ydzs-master1   Ready     master    3h        v1.10.0

到这里就算我们的集群部署成功了，接下来就可以根据我们的需要安装一些附加的插件，比如 Dashboard、Heapster、Ingress-Controller等等，这些插件的安装方法就和我们之前手动安装集群的方式方法一样了，这里就不在重复了，有问题可以在下面留言讨论。

参考资料