Kubernetes 1.5.3 部署

时间:2023-03-10 01:01:36
Kubernetes 1.5.3 部署

> kubernetes 1.5.3, 配置文档

# 1 初始化环境

## 1.1 环境:

| 节 点  |      I P      |
|--------|-------------|
|node-1|10.6.0.140|
|node-2|10.6.0.187|
|node-3|10.6.0.188|

## 1.2 设置hostname

hostnamectl --static set-hostname k8s-node-1

|       I P     | hostname |
|-------------|-------------|
|10.6.0.140|k8s-node-1|
|10.6.0.187|k8s-node-2|
|10.6.0.188|k8s-node-3|

## 1.3 配置 hosts

```
vi /etc/hosts
```

|     I P       | hostname |
|-------------|-------------|
|10.6.0.140|k8s-node-1|
|10.6.0.187|k8s-node-2|
|10.6.0.188|k8s-node-3|

# 2.0 部署 kubernetes master

## 2.1 添加yum

Kubernetes 1.5.3 部署
# 安装源,以下三个一个个试

cat <<EOF> /etc/yum.repos.d/kubernetes.repo
[mritdrepo]
name=Mritd Repository
baseurl=https://yum.mritd.me/centos/7/x86_64
enabled=1
gpgcheck=1
gpgkey=https://cdn.mritd.me/keys/rpm.public.key
EOF

#官方的安装源
cat <<EOF> /etc/yum.repos.d/kubernetes.repo 
[kubernetes] 
name=Kubernetes 
baseurl=http://yum.kubernetes.io/repos/kubernetes-el7-x86_64 
enabled=1 
gpgcheck=0 
repo_gpgcheck=0 
EOF
#阿里安装源
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
EOF
yum makecache

yum install -y socat kubelet kubeadm kubectl kubernetes-cni
Kubernetes 1.5.3 部署

## 2.2 安装docker

wget -qO- https://get.docker.com/ | sh

systemctl enable docker
systemctl start docker

## 2.3 安装 etcd 集群

Kubernetes 1.5.3 部署
yum -y install etcd

# 创建etcd data 目录

mkdir -p /opt/etcd/data

chown -R etcd:etcd /opt/etcd/

# 修改配置文件,/etc/etcd/etcd.conf 需要修改如下参数:

ETCD_NAME=etcd1
ETCD_DATA_DIR="/opt/etcd/data/etcd1.etcd"
ETCD_LISTEN_PEER_URLS="http://10.6.0.140:2380"
ETCD_LISTEN_CLIENT_URLS="http://10.6.0.140:2379,http://127.0.0.1:2379"
ETCD_INITIAL_ADVERTISE_PEER_URLS="http://10.6.0.140:2380"
ETCD_INITIAL_CLUSTER="etcd1=http://10.6.0.140:2380,etcd2=http://10.6.0.187:2380,etcd3=http://10.6.0.188:2380"
ETCD_INITIAL_CLUSTER_STATE="new"
ETCD_INITIAL_CLUSTER_TOKEN="k8s-etcd-cluster"
ETCD_ADVERTISE_CLIENT_URLS="http://10.6.0.140:2379"
Kubernetes 1.5.3 部署
# 修改 etcd 启动文件

sed -i 's/\\\"${ETCD_LISTEN_CLIENT_URLS}\\\"/\\\"${ETCD_LISTEN_CLIENT_URLS}\\\" --listen-client-urls=\\\"${ETCD_LISTEN_CLIENT_URLS}\\\" --advertise-client-urls=\\\"${ETCD_ADVERTISE_CLIENT_URLS}\\\" --initial-cluster-token=\\\"${ETCD_INITIAL_CLUSTER_TOKEN}\\\" --initial-cluster=\\\"${ETCD_INITIAL_CLUSTER}\\\" --initial-cluster-state=\\\"${ETCD_INITIAL_CLUSTER_STATE}\\\"/g' /usr/lib/systemd/system/etcd.service
Kubernetes 1.5.3 部署
# 启动 etcd

systemctl enable etcd

systemctl start etcd

systemctl status etcd

# 查看集群状态

etcdctl cluster-health
Kubernetes 1.5.3 部署

## 2.4 下载镜像

Kubernetes 1.5.3 部署
images=(kube-proxy-amd64:v1.5.3 kube-scheduler-amd64:v1.5.3 kube-controller-manager-amd64:v1.5.3 kube-apiserver-amd64:v1.5.3 etcd-amd64:3.0.14-kubeadm kube-discovery-amd64:1.0 pause-amd64:3.0 kubedns-amd64:1.9 dnsmasq-metrics-amd64:1.0 kube-dnsmasq-amd64:1.4 exechealthz-amd64:1.2)
for imageName in ${images[@]} ; do
docker pull ist0ne/$imageName
docker tag ist0ne/$imageName gcr.io/google_containers/$imageName
docker rmi ist0ne/$imageName
done images=(heapster:canary heapster_grafana:v3.1.1 heapster_influxdb:v0.7)
for imageName in ${images[@]} ; do
docker pull ist0ne/$imageName
docker tag ist0ne/$imageName kubernetes/$imageName
done
Kubernetes 1.5.3 部署

## 2.4 启动 kubernetes

```
systemctl enable kubelet
systemctl start kubelet
```

## 2.5 创建集群

Kubernetes 1.5.3 部署
```

kubeadm init --api-advertise-addresses=192.168.222.137 \
--external-etcd-endpoints=http://192.168.222.137:2379,http://192.168.222.138:2379,http://192.168.222.139:2379 \
--use-kubernetes-version v1.5.3 \
--pod-network-cidr 189.244.0.0/16

```

```

[root@k8s-node-1 ~]# kubeadm init --api-advertise-addresses=192.168.222.137 \
> --external-etcd-endpoints=http://192.168.222.137:2379,http://192.168.222.138:2379,http://192.168.222.139:2379 \
> --use-kubernetes-version v1.5.3 \
> --pod-network-cidr 189.244.0.0/16
Flag --external-etcd-endpoints has been deprecated, this flag will be removed when componentconfig exists
[kubeadm] WARNING: kubeadm is in alpha, please do not use it for production clusters.
[preflight] Running pre-flight checks
[preflight] WARNING: kubelet service is not enabled, please run 'systemctl enable kubelet.service'
[preflight] Starting the kubelet service
[init] Using Kubernetes version: v1.5.3
[tokens] Generated token: "f8589e.031c16585cea9e70"
[certificates] Generated Certificate Authority key and certificate.
[certificates] Generated API Server key and certificate
[certificates] Generated Service Account signing keys
[certificates] Created keys and certificates in "/etc/kubernetes/pki"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/kubelet.conf"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/admin.conf"
[apiclient] Created API client, waiting for the control plane to become ready
[apiclient] All control plane components are healthy after 24.504641 seconds
[apiclient] Waiting for at least one node to register and become ready
[apiclient] First node is ready after 5.508692 seconds
[apiclient] Creating a test deployment
[apiclient] Test deployment succeeded
[token-discovery] Created the kube-discovery deployment, waiting for it to become ready
[token-discovery] kube-discovery is ready after 3.003353 seconds
[addons] Created essential addon: kube-proxy
[addons] Created essential addon: kube-dns

Your Kubernetes master has initialized successfully!

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
http://kubernetes.io/docs/admin/addons/

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

kubeadm join --token=f8589e.031c16585cea9e70 192.168.222.137

```
Kubernetes 1.5.3 部署

## 2.6 记录 token

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

kubeadm join --token=c53ef2.d257d49589d634f0 10.6.0.140

## 2.7 配置网络

Kubernetes 1.5.3 部署
```
# 建议先下载镜像,否则容易下载不到 docker pull quay.io/coreos/flannel-git:v0.6.1-28-g5dde68d-amd64 # 或者这样 docker pull jicki/flannel-git:v0.6.1-28-g5dde68d-amd64
docker tag jicki/flannel-git:v0.6.1-28-g5dde68d-amd64 quay.io/coreos/flannel-git:v0.6.1-28-g5dde68d-amd64
docker rmi jicki/flannel-git:v0.6.1-28-g5dde68d-amd64 ``` ```
# http://kubernetes.io/docs/admin/addons/ 这里有多种网络模式,选择一种 # 这里选择 Flannel 选择 Flannel init 时必须配置 --pod-network-cidr kubectl create -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml ```
Kubernetes 1.5.3 部署

## 2.8 检查 kubelet 状态

systemctl status kubelet

# 3.0 部署 kubernetes node

## 3.1 安装docker

Kubernetes 1.5.3 部署
```
wget -qO- https://get.docker.com/ | sh systemctl enable docker
systemctl start docker
```
Kubernetes 1.5.3 部署

## 3.2 下载镜像

Kubernetes 1.5.3 部署
```
images=(kube-proxy-amd64:v1.5.1 kube-discovery-amd64:1.0 kubedns-amd64:1.9 kube-scheduler-amd64:v1.5.1 kube-controller-manager-amd64:v1.5.1 kube-apiserver-amd64:v1.5.1 etcd-amd64:3.0.14-kubeadm kube-dnsmasq-amd64:1.4 exechealthz-amd64:1.2 pause-amd64:3.0 kubernetes-dashboard-amd64:v1.5.0 dnsmasq-metrics-amd64:1.0)
for imageName in ${images[@]} ; do
docker pull jicki/$imageName
docker tag jicki/$imageName gcr.io/google_containers/$imageName
docker rmi jicki/$imageName
done ```
Kubernetes 1.5.3 部署

## 3.3 启动 kubernetes

systemctl enable kubelet
systemctl start kubelet

## 3.4 加入集群

kubeadm join --token=c53ef2.d257d49589d634f0 10.6.0.140
Node join complete:
* Certificate signing request sent to master and response
received.
* Kubelet informed of new secure connection details. Run 'kubectl get nodes' on the master to see this machine join.

## 3.5 查看集群状态

[root@k8s-node-1 ~]#kubectl get node
NAME STATUS AGE
k8s-node-1 Ready,master 27m
k8s-node-2 Ready 6s
k8s-node-3 Ready 9s

## 3.6 查看服务状态

Kubernetes 1.5.3 部署
[root@k8s-node-1 ~]#kubectl get pods --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system dummy-2088944543-qrp68 1/1 Running 1 1h
kube-system kube-apiserver-k8s-node-1 1/1 Running 2 1h
kube-system kube-controller-manager-k8s-node-1 1/1 Running 2 1h
kube-system kube-discovery-1769846148-g2lpc 1/1 Running 1 1h
kube-system kube-dns-2924299975-xbhv4 4/4 Running 3 1h
kube-system kube-flannel-ds-39g5n 2/2 Running 2 1h
kube-system kube-flannel-ds-dwc82 2/2 Running 2 1h
kube-system kube-flannel-ds-qpkm0 2/2 Running 2 1h
kube-system kube-proxy-16c50 1/1 Running 2 1h
kube-system kube-proxy-5rkc8 1/1 Running 2 1h
kube-system kube-proxy-xwrq0 1/1 Running 2 1h
kube-system kube-scheduler-k8s-node-1 1/1 Running 2 1h
Kubernetes 1.5.3 部署

# 4.0 设置 kubernetes

## 4.1 其他主机控制集群

Kubernetes 1.5.3 部署
```
# 备份master节点的 配置文件 /etc/kubernetes/admin.conf # 保存至 其他电脑, 通过执行配置文件控制集群 kubectl --kubeconfig ./admin.conf get nodes ```
Kubernetes 1.5.3 部署

## 4.2 配置dashboard

Kubernetes 1.5.3 部署
```
#下载 yaml 文件, 直接导入会去官方拉取images curl -O https://rawgit.com/kubernetes/dashboard/master/src/deploy/kubernetes-dashboard.yaml #编辑 yaml 文件 vi kubernetes-dashboard.yaml image: gcr.io/google_containers/kubernetes-dashboard-amd64:v1.4.0 修改为 image: gcr.io/google_containers/kubernetes-dashboard-amd64:v1.5.0 imagePullPolicy: Always 修改为 imagePullPolicy: IfNotPresent ``` ```
kubectl create -f ./kubernetes-dashboard.yaml deployment "kubernetes-dashboard" created
service "kubernetes-dashboard" created
``` ```
# 查看 NodePort ,既外网访问端口 kubectl describe svc kubernetes-dashboard --namespace=kube-system NodePort: <unset> 31736/TCP ``` ```
# 访问 dashboard http://10.6.0.140:31736 ```
Kubernetes 1.5.3 部署

# 5.0 kubernetes 应用部署

## 5.1 部署一个 nginx rc

> 编写 一个 nginx yaml

Kubernetes 1.5.3 部署
```
apiVersion: v1
kind: ReplicationController
metadata:
name: nginx-rc
spec:
replicas: 2
selector:
name: nginx
template:
metadata:
labels:
name: nginx
spec:
containers:
- name: nginx
image: nginx:alpine
imagePullPolicy: IfNotPresent
ports:
- containerPort: 80
``` ```
[root@k8s-node-1 ~]#kubectl get rc
NAME DESIRED CURRENT READY AGE
nginx-rc 2 2 2 2m [root@k8s-node-1 ~]#kubectl get pod -o wide
NAME READY STATUS RESTARTS AGE IP NODE
nginx-rc-2s8k9 1/1 Running 0 10m 10.32.0.3 k8s-node-1
nginx-rc-s16cm 1/1 Running 0 10m 10.40.0.1 k8s-node-2
Kubernetes 1.5.3 部署

> 编写一个 nginx service 让集群内部容器可以访问 (ClusterIp)

Kubernetes 1.5.3 部署
```
apiVersion: v1
kind: Service
metadata:
name: nginx-svc
spec:
ports:
- port: 80
targetPort: 80
protocol: TCP
selector:
name: nginx
``` ```
[root@k8s-node-1 ~]#kubectl create -f nginx-svc.yaml
service "nginx-svc" created [root@k8s-node-1 ~]#kubectl get svc -o wide
NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE SELECTOR
kubernetes 10.0.0.1 <none> 443/TCP 2d <none>
nginx-svc 10.6.164.79 <none> 80/TCP 29s name=nginx ``` > 编写一个 curl 的pods ```
apiVersion: v1
kind: Pod
metadata:
name: curl
spec:
containers:
- name: curl
image: radial/busyboxplus:curl
command:
- sh
- -c
- while true; do sleep 1; done
``` ```
# 测试pods 内部通信
[root@k8s-node-1 ~]#kubectl exec curl curl nginx
``` ```
# 在任何node节点中,可使用ip访问 [root@k8s-node-2 ~]# curl 10.6.164.79
[root@k8s-node-3 ~]# curl 10.6.164.79 ```
Kubernetes 1.5.3 部署

> 编写一个 nginx service 让外部可以访问 (NodePort)

Kubernetes 1.5.3 部署
```
apiVersion: v1
kind: Service
metadata:
name: nginx-svc-node
spec:
ports:
- port: 80
targetPort: 80
protocol: TCP
type: NodePort
selector:
name: nginx
``` ```
[root@k8s-node-1 ~]#kubectl get svc -o wide
NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE SELECTOR
kubernetes 10.0.0.1 <none> 443/TCP 2d <none>
nginx-svc 10.6.164.79 <none> 80/TCP 29m name=nginx
nginx-svc-node 10.12.95.227 <nodes> 80/TCP 17s name=nginx [root@k8s-node-1 ~]#kubectl describe svc nginx-svc-node |grep NodePort
Type: NodePort
NodePort: <unset> 32669/TCP
``` ```
# 使用 ALL node节点物理IP + 端口访问 http://10.6.0.140:32669 http://10.6.0.187:32669 http://10.6.0.188:32669
```
Kubernetes 1.5.3 部署

## 5.2 部署一个 zookeeper 集群

> 编写 一个 zookeeper-cluster.yaml

Kubernetes 1.5.3 部署
```
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: zookeeper-1
spec:
replicas: 1
template:
metadata:
labels:
name: zookeeper-1
spec:
containers:
- name: zookeeper-1
image: zk:alpine
imagePullPolicy: IfNotPresent
env:
- name: NODE_ID
value: "1"
- name: NODES
value: "0.0.0.0,zookeeper-2,zookeeper-3"
ports:
- containerPort: 2181 --- apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: zookeeper-2
spec:
replicas: 1
template:
metadata:
labels:
name: zookeeper-2
spec:
containers:
- name: zookeeper-2
image: zk:alpine
imagePullPolicy: IfNotPresent
env:
- name: NODE_ID
value: "2"
- name: NODES
value: "zookeeper-1,0.0.0.0,zookeeper-3"
ports:
- containerPort: 2181 --- apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: zookeeper-3
spec:
replicas: 1
template:
metadata:
labels:
name: zookeeper-3
spec:
containers:
- name: zookeeper-3
image: zk:alpine
imagePullPolicy: IfNotPresent
env:
- name: NODE_ID
value: "3"
- name: NODES
value: "zookeeper-1,zookeeper-2,0.0.0.0"
ports:
- containerPort: 2181
--- apiVersion: v1
kind: Service
metadata:
name: zookeeper-1
labels:
name: zookeeper-1
spec:
ports:
- name: client
port: 2181
protocol: TCP
- name: followers
port: 2888
protocol: TCP
- name: election
port: 3888
protocol: TCP
selector:
name: zookeeper-1 --- apiVersion: v1
kind: Service
metadata:
name: zookeeper-2
labels:
name: zookeeper-2
spec:
ports:
- name: client
port: 2181
protocol: TCP
- name: followers
port: 2888
protocol: TCP
- name: election
port: 3888
protocol: TCP
selector:
name: zookeeper-2 --- apiVersion: v1
kind: Service
metadata:
name: zookeeper-3
labels:
name: zookeeper-3
spec:
ports:
- name: client
port: 2181
protocol: TCP
- name: followers
port: 2888
protocol: TCP
- name: election
port: 3888
protocol: TCP
selector:
name: zookeeper-3 ``` ```
[root@k8s-node-1 ~]#kubectl create -f zookeeper-cluster.yaml --record [root@k8s-node-1 ~]#kubectl get pods -o wide
NAME READY STATUS RESTARTS AGE IP NODE
zookeeper-1-2149121414-cfyt4 1/1 Running 0 51m 10.32.0.3 k8s-node-2
zookeeper-2-2653289864-0bxee 1/1 Running 0 51m 10.40.0.1 k8s-node-3
zookeeper-3-3158769034-5csqy 1/1 Running 0 51m 10.40.0.2 k8s-node-3 [root@k8s-node-1 ~]#kubectl get deployment -o wide
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
zookeeper-1 1 1 1 1 51m
zookeeper-2 1 1 1 1 51m
zookeeper-3 1 1 1 1 51m [root@k8s-node-1 ~]#kubectl get svc -o wide
NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE SELECTOR
zookeeper-1 10.8.111.19 <none> 2181/TCP,2888/TCP,3888/TCP 51m name=zookeeper-1
zookeeper-2 10.6.10.124 <none> 2181/TCP,2888/TCP,3888/TCP 51m name=zookeeper-2
zookeeper-3 10.0.146.143 <none> 2181/TCP,2888/TCP,3888/TCP 51m name=zookeeper-3
Kubernetes 1.5.3 部署

## 5.3 部署一个 kafka 集群

> 编写 一个 kafka-cluster.yaml

Kubernetes 1.5.3 部署
```

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: kafka-deployment-1
spec:
replicas: 1
template:
metadata:
labels:
name: kafka-1
spec:
containers:
- name: kafka-1
image: kafka:alpine
imagePullPolicy: IfNotPresent
env:
- name: NODE_ID
value: "1"
- name: ZK_NODES
value: "zookeeper-1,zookeeper-2,zookeeper-3"
ports:
- containerPort: 9092 --- apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: kafka-deployment-2
spec:
replicas: 1
template:
metadata:
labels:
name: kafka-2
spec:
containers:
- name: kafka-2
image: kafka:alpine
imagePullPolicy: IfNotPresent
env:
- name: NODE_ID
value: "2"
- name: ZK_NODES
value: "zookeeper-1,zookeeper-2,zookeeper-3"
ports:
- containerPort: 9092 --- apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: kafka-deployment-3
spec:
replicas: 1
template:
metadata:
labels:
name: kafka-3
spec:
containers:
- name: kafka-3
image: kafka:alpine
imagePullPolicy: IfNotPresent
env:
- name: NODE_ID
value: "3"
- name: ZK_NODES
value: "zookeeper-1,zookeeper-2,zookeeper-3"
ports:
- containerPort: 9092 --- apiVersion: v1
kind: Service
metadata:
name: kafka-1
labels:
name: kafka-1
spec:
ports:
- name: client
port: 9092
protocol: TCP
selector:
name: kafka-1 --- apiVersion: v1
kind: Service
metadata:
name: kafka-2
labels:
name: kafka-2
spec:
ports:
- name: client
port: 9092
protocol: TCP
selector:
name: kafka-2 --- apiVersion: v1
kind: Service
metadata:
name: kafka-3
labels:
name: kafka-3
spec:
ports:
- name: client
port: 9092
protocol: TCP
selector:
name: kafka-3 ```
Kubernetes 1.5.3 部署

# FAQ:

## kube-discovery error

    failed to create "kube-discovery" deployment [deployments.extensions "kube-discovery" already exists]

kubeadm reset

kubeadm init

原文链接:

http://www.xf80.com/2016/12/13/kubernetes-1.5.0