PS:所有節點安裝之前記得先把鏡像准備好,否者將無法啟動,也不報錯。
禁用防火牆:
$ systemctl stop firewalld
$ systemctl disable firewalld
禁用SELINUX:
$ setenforce 0
$ cat /etc/selinux/config
SELINUX=disabled
創建/etc/sysctl.d/k8s.conf文件,添加如下內容:
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
執行如下命令使修改生效:
$ modprobe br_netfilter
$ sysctl -p /etc/sysctl.d/k8s.conf
鏡像
如果你的節點上面有科學上網的工具,可以忽略這一步,我們需要提前將所需的gcr.io上面的鏡像下載到節點上面,當然前提條件是你已經成功安裝了docker。
master節點,執行下面的命令:
docker pull registry-vpc.cn-shenzhen.aliyuncs.com/cp_m/kube-apiserver-amd64:v1.10.0
docker pull registry-vpc.cn-shenzhen.aliyuncs.com/cp_m/kube-scheduler-amd64:v1.10.0
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/kube-controller-manager-amd64:v1.10.0
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/kube-proxy-amd64:v1.10.0
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/k8s-dns-kube-dns-amd64:1.14.8
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/k8s-dns-dnsmasq-nanny-amd64:1.14.8
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/k8s-dns-sidecar-amd64:1.14.8
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/etcd-amd64:3.1.12
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/flannel:v0.10.0-amd64
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/pause-amd64:3.1
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/kube-apiserver-amd64:v1.10.0 k8s.gcr.io/kube-apiserver-amd64:v1.10.0
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/kube-scheduler-amd64:v1.10.0 k8s.gcr.io/kube-scheduler-amd64:v1.10.0
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/kube-controller-manager-amd64:v1.10.0 k8s.gcr.io/kube-controller-manager-amd64:v1.10.0
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/kube-proxy-amd64:v1.10.0 k8s.gcr.io/kube-proxy-amd64:v1.10.0
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/k8s-dns-kube-dns-amd64:1.14.8 k8s.gcr.io/k8s-dns-kube-dns-amd64:1.14.8
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/k8s-dns-dnsmasq-nanny-amd64:1.14.8 k8s.gcr.io/k8s-dns-dnsmasq-nanny-amd64:1.14.8
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/k8s-dns-sidecar-amd64:1.14.8 k8s.gcr.io/k8s-dns-sidecar-amd64:1.14.8
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/etcd-amd64:3.1.12 k8s.gcr.io/etcd-amd64:3.1.12
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/flannel:v0.10.0-amd64 quay.io/coreos/flannel:v0.10.0-amd64
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/pause-amd64:3.1 k8s.gcr.io/pause-amd64:3.1
可以將上面的命令保存為一個shell腳本,然后直接執行即可。這些鏡像是在master節點上需要使用到的鏡像,一定要提前下載下來。
其他Node,執行下面的命令:
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/kube-proxy-amd64:v1.10.0
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/flannel:v0.10.0-amd64
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/pause-amd64:3.1
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/kubernetes-dashboard-amd64:v1.8.3
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/heapster-influxdb-amd64:v1.3.3
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/heapster-grafana-amd64:v4.4.3
docker pull registry.cn-shenzhen.aliyuncs.com/cp_m/heapster-amd64:v1.4.2
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/flannel:v0.10.0-amd64 quay.io/coreos/flannel:v0.10.0-amd64
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/pause-amd64:3.1 k8s.gcr.io/pause-amd64:3.1
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/kube-proxy-amd64:v1.10.0 k8s.gcr.io/kube-proxy-amd64:v1.10.0
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/kubernetes-dashboard-amd64:v1.8.3 k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.3
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/heapster-influxdb-amd64:v1.3.3 k8s.gcr.io/heapster-influxdb-amd64:v1.3.3
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/heapster-grafana-amd64:v4.4.3 k8s.gcr.io/heapster-grafana-amd64:v4.4.3
docker tag registry.cn-shenzhen.aliyuncs.com/cp_m/heapster-amd64:v1.4.2 k8s.gcr.io/heapster-amd64:v1.4.2
上面的這些鏡像是在Node節點中需要用到的鏡像,在join節點之前也需要先下載到節點上面。
安裝 kubeadm、kubelet、kubectl
在確保docker安裝完成后,上面的相關環境配置也完成了,對應所需要的鏡像(如果可以科學上網可以跳過這一步)也下載完成了,現在我們就可以來安裝kubeadm了,我們這里是通過指定yum源的方式來進行安裝的:
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
當然了,上面的yum源也是需要科學上網的,如果不能科學上網的話,我們可以使用阿里雲的源進行安裝:
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
目前阿里雲的源最新版本已經是1.10版本,所以可以直接安裝。yum源配置完成后,執行安裝命令即可:
$ yum makecache fast && yum install -y kubelet kubeadm kubectl
正常情況我們可以都能順利安裝完成上面的文件。
配置 kubelet
安裝完成后,我們還需要對kubelet進行配置,因為用yum源的方式安裝的kubelet生成的配置文件將參數--cgroup-driver改成了systemd,而docker的cgroup-driver是cgroupfs,這二者必須一致才行,我們可以通過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,將其中的KUBELET_CGROUP_ARGS參數更改成cgroupfs:
Environment="KUBELET_CGROUP_ARGS=--cgroup-driver=cgroupfs"
另外還有一個問題是關於交換分區的,之前我們在手動搭建高可用的kubernetes 集群一文中已經提到過,Kubernetes從1.8開始要求關閉系統的 Swap ,如果不關閉,默認配置的kubelet將無法啟動,我們可以通過 kubelet 的啟動參數--fail-swap-on=false更改這個限制,所以我們需要在上面的配置文件中增加一項配置(在ExecStart之前):
Environment="KUBELET_EXTRA_ARGS=--fail-swap-on=false"
當然最好的還是將swap給關掉,這樣能提高kubelet的性能。修改完成后,重新加載我們的配置文件即可:
$ systemctl daemon-reload
集群安裝
初始化
到這里我們的准備工作就完成了,接下來我們就可以在master節點上用kubeadm命令來初始化我們的集群了:
$ kubeadm init --kubernetes-version=v1.10.0 --pod-network-cidr=10.244.0.0/16 --apiserver-advertise-address=192.168.11.1
命令非常簡單,就是kubeadm init,后面的參數是需要安裝的集群版本,因為我們這里選擇flannel作為 Pod 的網絡插件,所以需要指定–pod-network-cidr=10.244.0.0/16,然后是apiserver的通信地址,這里就是我們master節點的IP 地址。執行上面的命令,如果出現running with swap on is not supported. Please disable swap之類的錯誤,則我們還需要增加一個參數–ignore-preflight-errors=Swap來忽略swap的錯誤提示信息:
$ kubeadm init \
--kubernetes-version=v1.10.0 \
--pod-network-cidr=10.244.0.0/16 \
--apiserver-advertise-address=192.168.11.1 \
--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 192.168.11.1:6443 --token 8xomlq.0cdf2pbvjs2gjho3 --discovery-token-ca-cert-hash sha256:92802317cb393682c1d1356c15e8b4ec8af2b8e5143ffd04d8be4eafb5fae368
上面的信息記錄了kubeadm初始化整個集群的過程,生成相關的各種證書、kubeconfig文件、bootstraptoken等等,后邊是使用kubeadm join往集群中添加節點時用到的命令,下面的命令是配置如何使用kubectl訪問集群的方式:
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
最后給出了將節點加入集群的命令:
kubeadm join 192.168.11.1:6443 --token 8xomlq.0cdf2pbvjs2gjho3 --discovery-token-ca-cert-hash sha256:92802317cb393682c1d1356c15e8b4ec8af2b8e5143ffd04d8be4eafb5fae368
我們根據上面的提示配置好kubectl后,就可以使用kubectl來查看集群的信息了:
$ 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
如果你的集群安裝過程中遇到了其他問題,我們可以使用下面的命令來進行重置:
$ kubeadm reset
$ ifconfig cni0 down && ip link delete cni0
$ ifconfig flannel.1 down && ip link delete flannel.1
$ rm -rf /var/lib/cni/
安裝 Pod Network
接下來我們來安裝flannel網絡插件,很簡單,和安裝普通的POD沒什么兩樣:
$ 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節點有多個網卡的話,需要在kube-flannel.yml中使用--iface參數指定集群主機內網網卡的名稱,否則可能會出現dns無法解析。flanneld啟動參數加上--iface=<iface-name>
args:
- --ip-masq
- --kube-subnet-mgr
- --iface=eth0
安裝完成后使用kubectl get pods命令可以查看到我們集群中的組件運行狀態,如果都是Running狀態的話,那么恭喜你,你的master節點安裝成功了。
$ 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,默認情況下Pod是不會被調度到master節點上的,所以現在還不能直接測試普通的Pod,需要添加一個工作節點后才可以。
添加節點
同樣的上面的環境配置、docker 安裝、kubeadmin、kubelet、kubectl 這些都在Node(192.168.11.2)節點安裝配置好過后,我們就可以直接在 Node 節點上執行kubeadm join命令了(上面初始化的時候有),同樣加上參數--ignore-preflight-errors=Swap:
$ kubeadm join 192.168.11.1:6443 --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://192.168.11.1:6443"
[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.
我們可以看到該節點已經加入到集群中去了,然后我們把master節點的~/.kube/config文件拷貝到當前節點對應的位置即可使用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
創建個nginx pod測試一下
docker pull registry.cn-hangzhou.aliyuncs.com/qinyujia-test/nginx
apiVersion: v1
kind: Pod
metadata:
name: nginx
labels:
app: nginx
spec:
containers:
- name: nginx
image: registry.cn-hangzhou.aliyuncs.com/qinyujia-test/nginx
imagePullPolicy: IfNotPresent
ports:
- containerPort: 80
restartPolicy: Always
---
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
type: NodePort
sessionAffinity: ClientIP
selector:
app: nginx
ports:
- port: 80
nodePort: 30080
kubectl create -f hello.yaml
