以下是基于 多Master高可用Kubernetes集群 的企业级部署详细步骤,涵盖 Nginx Ingress + MySQL高可用集群 + Tomcat负载均衡 的完整流程:
一、前置条件准备
1. 节点规划
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Master节点:3台(高可用控制平面,需奇数台)
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Worker节点:至少2台
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操作系统:CentOS 7/8 或 Ubuntu 20.04+
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网络要求:所有节点间网络互通,禁用防火墙/SELinux
2. 配置主机名及解析
# 所有节点执行
sudo hostnamectl set-hostname master1 # 按实际修改为master1, master2, master3, worker1等
sudo vi /etc/hosts
# 添加以下内容(替换实际IP):
192.168.1.101 master1
192.168.1.102 master2
192.168.1.103 master3
192.168.1.201 worker1
192.168.1.202 worker2
3. 安装依赖工具
# 所有节点执行
sudo apt-get update && sudo apt-get install -y apt-transport-https ca-certificates curl software-properties-common # Ubuntu
# 或
sudo yum install -y yum-utils device-mapper-persistent-data lvm2 # CentOS
二、部署高可用Kubernetes集群
1. 安装Docker
# 所有节点执行
curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun
sudo systemctl enable docker && sudo systemctl start docker
2. 安装kubeadm/kubelet/kubectl
# 所有节点执行(以Ubuntu为例)
sudo curl -fsSLo /usr/share/keyrings/kubernetes-archive-keyring.gpg https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg
echo "deb [signed-by=/usr/share/keyrings/kubernetes-archive-keyring.gpg] https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main" | sudo tee /etc/apt/sources.list.d/kubernetes.list
sudo apt-get update
sudo apt-get install -y kubelet=1.28.0-00 kubeadm=1.28.0-00 kubectl=1.28.0-00
sudo apt-mark hold kubelet kubeadm kubectl
3. 初始化第一个Master节点
# 在master1节点执行
sudo kubeadm init \
--control-plane-endpoint "LOAD_BALANCER_DNS:LOAD_BALANCER_PORT" \
--upload-certs \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.28.0 \
--service-cidr=10.96.0.0/12 \
--pod-network-cidr=192.168.0.0/16 \
--apiserver-advertise-address=192.168.1.101
# 输出中会包含加入其他Master和Worker的命令,保存备用
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
4. 加入其他Master节点
# 在master2和master3执行(使用上一步生成的命令,形如):
sudo kubeadm join LOAD_BALANCER_DNS:LOAD_BALANCER_PORT \
--token xxxx \
--discovery-token-ca-cert-hash sha256:xxxx \
--control-plane \
--certificate-key xxxx
5. 加入Worker节点
# 在所有Worker节点执行(使用kubeadm init输出的命令):
sudo kubeadm join LOAD_BALANCER_DNS:LOAD_BALANCER_PORT --token xxxx --discovery-token-ca-cert-hash sha256:xxxx
6. 安装网络插件(Calico)
kubectl apply -f https://raw.githubusercontent.com/projectcalico/calico/v3.26.1/manifests/calico.yaml
三、配置存储(NFS示例)
1. 部署NFS Server(可选)
# 在存储节点执行(例如192.168.1.250)
sudo apt-get install -y nfs-kernel-server # Ubuntu
sudo mkdir -p /data/nfs
sudo chmod 777 /data/nfs
sudo vi /etc/exports
# 添加:
/data/nfs *(rw,sync,no_root_squash)
sudo exportfs -a
sudo systemctl restart nfs-server
2. 部署NFS StorageClass
# 使用Helm安装NFS Provisioner
helm repo add nfs-subdir-external-provisioner https://kubernetes-sigs.github.io/nfs-subdir-external-provisioner/
helm install nfs-provisioner nfs-subdir-external-provisioner/nfs-subdir-external-provisioner \
--set nfs.server=192.168.1.250 \
--set nfs.path=/data/nfs \
--set storageClass.name=nfs-sc
# 验证StorageClass
kubectl get storageclass
四、部署高可用MySQL集群
1. 创建Secret存储密码
kubectl create secret generic mysql-secret \
--from-literal=root_password=yourpassword \
--from-literal=replication_password=replpassword
2. 部署MySQL StatefulSet
# mysql-ha.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: mysql
spec:
serviceName: mysql
replicas: 3
selector:
matchLabels:
app: mysql
template:
metadata:
labels:
app: mysql
spec:
containers:
- name: mysql
image: mysql:8.0
env:
- name: MYSQL_ROOT_PASSWORD
valueFrom:
secretKeyRef:
name: mysql-secret
key: root_password
- name: MYSQL_REPLICATION_PASSWORD
valueFrom:
secretKeyRef:
name: mysql-secret
key: replication_password
args:
- "--server-id=$(expr $RANDOM % 100 + 1)"
- "--gtid-mode=ON"
- "--enforce-gtid-consistency=ON"
- "--log-bin=mysql-bin"
- "--binlog-format=ROW"
- "--relay-log=mysql-relay"
- "--innodb_flush_log_at_trx_commit=1"
- "--sync_binlog=1"
ports:
- containerPort: 3306
volumeMounts:
- name: mysql-data
mountPath: /var/lib/mysql
volumeClaimTemplates:
- metadata:
name: mysql-data
spec:
accessModes: [ "ReadWriteOnce" ]
storageClassName: "nfs-sc"
resources:
requests:
storage: 20Gi
3. 部署MySQL服务
# mysql-service.yaml
apiVersion: v1
kind: Service
metadata:
name: mysql
spec:
ports:
- port: 3306
clusterIP: None
selector:
app: mysql
kubectl apply -f mysql-ha.yaml
kubectl apply -f mysql-service.yaml
五、部署Tomcat应用
1. 创建Tomcat Deployment
# tomcat-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: tomcat-app
spec:
replicas: 3
selector:
matchLabels:
app: tomcat
strategy:
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
template:
metadata:
labels:
app: tomcat
spec:
containers:
- name: tomcat
image: tomcat:9.0-jdk17
ports:
- containerPort: 8080
env:
- name: DATABASE_URL
value: "jdbc:mysql://mysql.default.svc.cluster.local:3306/appdb?useSSL=false"
resources:
requests:
cpu: "100m"
memory: "512Mi"
limits:
cpu: "500m"
memory: "1Gi"
livenessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 20
periodSeconds: 5
2. 创建Service
# tomcat-service.yaml
apiVersion: v1
kind: Service
metadata:
name: tomcat-service
spec:
selector:
app: tomcat
ports:
- protocol: TCP
port: 80
targetPort: 8080
kubectl apply -f tomcat-deployment.yaml
kubectl apply -f tomcat-service.yaml
六、部署Nginx Ingress Controller
1. 使用Helm安装
helm repo add ingress-nginx https://kubernetes.github.io/ingress-nginx
helm install ingress-nginx ingress-nginx/ingress-nginx \
--set controller.replicaCount=3 \
--set controller.service.type=LoadBalancer \
--set controller.service.externalTrafficPolicy=Local \
--set controller.nodeSelector."kubernetes\.io/os"=linux \
--set controller.admissionWebhooks.patch.nodeSelector."kubernetes\.io/os"=linux \
--set defaultBackend.nodeSelector."kubernetes\.io/os"=linux
2. 配置Ingress路由规则
# ingress-rule.yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: web-ingress
annotations:
nginx.ingress.kubernetes.io/rewrite-target: /
spec:
ingressClassName: nginx
rules:
- host: example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: tomcat-service
port:
number: 80
kubectl apply -f ingress-rule.yaml
七、验证与维护
1. 查看集群状态
kubectl get nodes -o wide
kubectl get pods -A -o wide
kubectl get svc,pv,pvc
2. 测试数据库连接
kubectl exec -it mysql-0 -- mysql -uroot -p$(kubectl get secret mysql-secret -o jsonpath='{.data.root_password}' | base64 --decode) -e "CREATE DATABASE appdb;"
3. 访问测试
# 获取Ingress外部IP
kubectl get svc ingress-nginx-controller -o jsonpath='{.status.loadBalancer.ingress[0].ip}'
# 测试访问(替换实际IP)
curl -H "Host: example.com" http://<INGRESS_IP>
4. 配置HPA自动扩缩
# hpa.yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: tomcat-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: tomcat-app
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 80
八、架构示意图
用户访问 -> 云厂商LB/Nginx Ingress (外部流量) ↓ K8S Ingress Controller (3副本) ↓ Tomcat Pods (HPA自动扩缩) ↓ MySQL Cluster (3节点StatefulSet) ↓ NFS/Ceph Persistent Volumes
补充建议
-
监控:部署Prometheus + Grafana监控集群状态
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日志:使用EFK(Elasticsearch+Fluentd+Kibana)收集日志
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备份:使用Velero定期备份K8S资源
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安全:启用NetworkPolicy限制Pod间通信,使用Cert-Manager管理TLS证书
以上为完整的企业级高可用架构部署流程,需根据实际环境调整IP地址、存储配置和域名信息。