发布于:2022-09-07
本文总阅读量:
在 Kubernetes 上部署 RabbitMQ
前言
知识点
- 定级:入门级
- RabbitMQ 单节点安装部署
- RabbitMQ 集群安装部署
- GitOps 运维思想
演示服务器配置
主机名 | IP | CPU | 内存 | 系统盘 | 数据盘 | 用途 |
---|---|---|---|---|---|---|
zdeops-master | 192.168.9.9 | 2 | 4 | 40 | 200 | Ansible 运维控制节点 |
ks-k8s-master-0 | 192.168.9.91 | 4 | 16 | 40 | 200+200 | KubeSphere/k8s-master/k8s-worker/Ceph |
ks-k8s-master-1 | 192.168.9.92 | 4 | 16 | 40 | 200+200 | KubeSphere/k8s-master/k8s-worker/Ceph |
ks-k8s-master-2 | 192.168.9.93 | 4 | 16 | 40 | 200+200 | KubeSphere/k8s-master/k8s-worker/Ceph |
storage-node-0 | 192.168.9.95 | 2 | 8 | 40 | 200+200 | ElasticSearch/GlusterFS |
storage-node-0 | 192.168.9.96 | 2 | 8 | 40 | 200+200 | ElasticSearch/GlusterFS |
storage-node-0 | 192.168.9.97 | 2 | 8 | 40 | 200+200 | ElasticSearch/GlusterFS |
harbor | 192.168.9.89 | 2 | 8 | 40 | 200 | Harbor |
合计 | 8 | 22 | 84 | 320 | 2800 |
演示环境涉及软件版本信息
- 操作系统:CentOS-7.9-x86_64
- Ansible:2.8.20
- KubeSphere:3.3.0
- Kubernetes:v1.24.1
- Rook:v1.9.7
- Ceph: v16.2.9
- GlusterFS:9.5.1
- ElasticSearch:7.17.5
- Harbor:2.5.1
- RabbitMQ:3.9.22
- RabbitMQ Cluster Operator:1.14.0
简介
RabbitMQ 单节点如何在 K8s 集群上部署?RabbitMQ 集群如何在 K8s 集群上部署?60分钟带你实战入门。
单节点 RabbitMQ 部署
思路梳理
- StatefulSet
- Headless Service:内部服务用
- External Service:外部管理用
- Secrets:管理用户名和密码
- Image:DockerHub 官方提供的 rabbitmq:3.9.22-management(带 management 插件)
准备离线镜像
此过程为可选项,离线内网环境可用,如果不配置内网镜像,后续的资源配置清单中注意更改容器的 image 为默认值。
在一台能同时访问互联网和内网 Harbor 仓库的服务器上进行下面的操作。
- 下载镜像
docker pull rabbitmq:3.9.22-management
- 重新打 tag
docker tag rabbitmq:3.9.22-management registry.zdevops.com.cn/library/rabbitmq:3.9.22-management
- 推送到私有镜像仓库
docker push registry.zdevops.com.cn/library/rabbitmq:3.9.22-management
- 清理临时镜像
docker rmi rabbitmq:3.9.22-management
docker rmi registry.zdevops.com.cn/library/rabbitmq:3.9.22-management
资源配置清单
- rabbitmq-secret.yaml
---
kind: Secret
apiVersion: v1
metadata:
name: rabbitmq-secret
namespace: zdevops
data:
pass: UEA4OHcwcmQ=
user: YWRtaW4=
type: Opaque
- rabbitmq-sts.yaml
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: rabbitmq
namespace: zdevops
labels:
app: rabbitmq
spec:
replicas: 1
selector:
matchLabels:
app: rabbitmq
template:
metadata:
creationTimestamp: null
labels:
app: rabbitmq
spec:
volumes:
- name: host-time
hostPath:
path: /etc/localtime
type: ''
containers:
- name: rabbitmq
image: 'registry.zdevops.com.cn/library/rabbitmq:3.9.22-management'
ports:
- name: tcp-5672
containerPort: 5672
protocol: TCP
- name: http-15672
containerPort: 15672
protocol: TCP
env:
- name: RABBITMQ_DEFAULT_USER
valueFrom:
secretKeyRef:
name: rabbitmq-secret
key: user
- name: RABBITMQ_DEFAULT_PASS
valueFrom:
secretKeyRef:
name: rabbitmq-secret
key: pass
resources:
limits:
cpu: '2'
memory: 4000Mi
requests:
cpu: 100m
memory: 500Mi
volumeMounts:
- name: host-time
readOnly: true
mountPath: /etc/localtime
serviceName: rabbitmq-headless
---
apiVersion: v1
kind: Service
metadata:
name: rabbitmq-headless
namespace: zdevops
labels:
app: rabbitmq
spec:
ports:
- name: tcp-rabbitmq-5672
protocol: TCP
port: 5672
targetPort: 5672
selector:
app: rabbitmq
clusterIP: None
type: ClusterIP
- rabbitmq-external.yaml
---
apiVersion: v1
kind: Service
metadata:
name: rabbitmq-external
namespace: zdevops
labels:
app: rabbitmq-external
spec:
ports:
- name: http-rabbitmq-external
protocol: TCP
port: 15672
targetPort: 15672
nodePort: 31672
selector:
app: rabbitmq
type: NodePort
GitOps
在运维开发服务器上操作
# 在已有代码仓库创建 rabbitmq/single 目录
[root@zdevops-master k8s-yaml]# mkdir -p rabbitmq/single
# 编辑资源配置清单
[root@zdevops-master k8s-yaml]# vi rabbitmq/single/rabbitmq-secret.yaml
[root@zdevops-master k8s-yaml]# vi rabbitmq/single/rabbitmq-sts.yaml
[root@zdevops-master k8s-yaml]# vi rabbitmq/single/rabbitmq-external.yaml
# 提交 Git
[root@zdevops-master k8s-yaml]# git add rabbitmq
[root@zdevops-master k8s-yaml]# git commit -am '添加rabbitmq 单节点资源配置清单'
[root@zdevops-master k8s-yaml]# git push
部署资源
在运维管理服务器上操作
- 更新镜像仓库代码
[root@zdevops-master k8s-yaml]# git pull
- 部署资源
[root@zdevops-master k8s-yaml]# kubectl apply -f rabbitmq/single/
验证
- Secret
[root@zdevops-master k8s-yaml]# kubectl get secret -n zdevops
NAME TYPE DATA AGE
rabbitmq-secret Opaque 2 8s
- StatefulSet
[root@zdevops-master k8s-yaml]# kubectl get sts -o wide -n zdevops
NAME READY AGE CONTAINERS IMAGES
rabbitmq 1/1 25s rabbitmq registry.zdevops.com.cn/library/rabbitmq:3.9.22-management
- Pods
[root@zdevops-master k8s-yaml]# kubectl get pods -o wide -n zdevops
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
rabbitmq-0 1/1 Running 0 26s 10.233.87.13 ks-k8s-master-1 <none> <none>
- Service
[root@zdevops-master k8s-yaml]# kubectl get svc -o wide -n zdevops
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE SELECTOR
rabbitmq-external NodePort 10.233.4.224 <none> 15672:31672/TCP 36s app=rabbitmq
rabbitmq-headless ClusterIP None <none> 5672/TCP 36s app=rabbitmq
- 图形化管理界面
清理资源
- 清理 StatefulSet
[root@zdevops-master k8s-yaml]# kubectl delete sts rabbitmq -n zdevops
- 清理服务
[root@zdevops-master k8s-yaml]# kubectl delete svc rabbitmq-external rabbitmq-headless -n zdevops
集群模式 RabbitMQ 部署
思路梳理
使用官方提供的 RabbitMQ Cluster Operator for Kubernetes。
Open source RabbitMQ Cluster Kubernetes Operator by VMware。
官方文档快速部署
官方提供了快速部署的例子,只需要两步,这里我们仅作参考,后面我们参考内网离线镜像部署的方案。
- 部署 RabbitMQ Cluster Operator
kubectl apply -f https://github.com/rabbitmq/cluster-operator/releases/latest/download/cluster-operator.yml
- 部署 RabbitMQ Cluster
kubectl apply -f https://raw.githubusercontent.com/rabbitmq/cluster-operator/main/docs/examples/hello-world/rabbitmq.yaml
准备离线镜像
此过程为可选项,离线内网环境可用,如果不配置内网镜像,后续的资源配置清单中注意更改容器的 image 为默认值。
在一台能同时访问互联网和内网 Harbor 仓库的服务器上进行下面的操作。
- 在 Harbor 中创建项目
curl -u "admin:Harbor12345" -X POST -H "Content-Type: application/json" https://registry.zdevops.com.cn/api/v2.0/projects -d '{ "project_name": "rabbitmqoperator", "public": true}'
- 下载镜像
docker pull rabbitmqoperator/cluster-operator:1.14.0
- 重新打 tag
docker tag rabbitmqoperator/cluster-operator:1.14.0 registry.zdevops.com.cn/rabbitmqoperator/cluster-operator:1.14.0
- 推送到私有镜像仓库
docker push registry.zdevops.com.cn/rabbitmqoperator/cluster-operator:1.14.0
- 清理临时镜像
docker rmi rabbitmqoperator/cluster-operator:1.14.0
docker rmi registry.zdevops.com.cn/rabbitmqoperator/cluster-operator:1.14.0
资源配置清单
- 通过官网获取 RabbitMQ Cluster Operator 部署资源配置清单「cluster-operator.yml」
wget https://github.com/rabbitmq/cluster-operator/releases/latest/download/cluster-operator.yml
- 修改 RabbitMQ Cluster Operator image 为内网镜像
sed -i 's#rabbitmqoperator#registry.zdevops.com.cn/rabbitmqoperator#g' cluster-operator.yml
- RabbitMQ Cluster 部署资源清单「rabbitmq-cluster.yaml」
apiVersion: rabbitmq.com/v1beta1
kind: RabbitmqCluster
metadata:
namespace: zdevops
name: rabbitmq-cluster
labels:
app: rabbitmq-cluster
spec:
replicas: 3
image: registry.zdevops.com.cn/library/rabbitmq:3.9.22-management
resources:
limits:
cpu: 2
memory: 4Gi
requests:
cpu: 100m
memory: 500Mi
rabbitmq:
additionalConfig: |
default_user=admin
default_pass=P@88w0rd
更多配置参数和配置示例,请参考 官方文档
- 管理页面的外部访问服务 rabbitmq-cluster-external.yaml
---
apiVersion: v1
kind: Service
metadata:
name: rabbitmq-cluster-external
namespace: zdevops
labels:
app: rabbitmq-cluster-external
spec:
ports:
- name: management
protocol: TCP
port: 15672
targetPort: 15672
nodePort: 31672
selector:
app.kubernetes.io/name: rabbitmq-cluster
type: NodePort
GitOps
在运维开发服务器上操作
# 在已有代码仓库创建 rabbitmq/cluster 目录
[root@zdevops-master k8s-yaml]# mkdir -p rabbitmq/cluster
# 编辑资源配置清单
[root@zdevops-master k8s-yaml]# vi rabbitmq/cluster/cluster-operator.yml
[root@zdevops-master k8s-yaml]# vi rabbitmq/cluster/rabbitmq-cluster.yaml
[root@zdevops-master k8s-yaml]# vi rabbitmq/cluster/rabbitmq-cluster-external.yaml
# 提交 Git
[root@zdevops-master k8s-yaml]# git add rabbitmq/cluster
[root@zdevops-master k8s-yaml]# git commit -am '添加 rabbitmq 集群模式部署资源配置清单'
[root@zdevops-master k8s-yaml]# git push
部署资源
在运维管理服务器上操作
- `更新镜像仓库代码
[root@zdevops-master k8s-yaml]# git pull
- 部署 RabbitMQ Cluster Operator
[root@zdevops-master k8s-yaml]# kubectl apply -f rabbitmq/cluster/cluster-operator.yml
- 部署 RabbitMQ Cluster
[root@zdevops-master k8s-yaml]# kubectl apply -f rabbitmq/cluster/rabbitmq-cluster.yaml
- 部署管理页面外部访问服务
[root@zdevops-master k8s-yaml]# kubectl apply -f rabbitmq/cluster/rabbitmq-cluster-external.yaml
验证
- RabbitMQ Cluster Operator Deployment
[root@zdevops-master k8s-yaml]# kubectl get deployments -n rabbitmq-system -o wide
NAME READY UP-TO-DATE AVAILABLE AGE CONTAINERS IMAGES SELECTOR
rabbitmq-cluster-operator 1/1 1 1 107m operator registry.zdevops.com.cn/rabbitmqoperator/cluster-operator:1.14.0 app.kubernetes.io/name=rabbitmq-cluster-operator
- RabbitmqClusters
[root@zdevops-master k8s-yaml]# kubectl get rabbitmqclusters -n zdevops
NAME ALLREPLICASREADY RECONCILESUCCESS AGE
rabbitmq-cluster False Unknown 23s
- StatefulSet
[root@zdevops-master k8s-yaml]# kubectl get sts -o wide -n zdevops
NAME READY AGE CONTAINERS IMAGES
rabbitmq-cluster-server 3/3 74s rabbitmq registry.zdevops.com.cn/library/rabbitmq:3.9.22-management
- Pods
[root@zdevops-master k8s-yaml]# kubectl get pods -o wide -n zdevops
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
rabbitmq-cluster-server-0 1/1 Running 0 84s 10.233.116.26 ks-k8s-master-2 <none> <none>
rabbitmq-cluster-server-1 1/1 Running 0 83s 10.233.117.28 ks-k8s-master-0 <none> <none>
rabbitmq-cluster-server-2 1/1 Running 0 82s 10.233.87.31 ks-k8s-master-1 <none> <none>
- Services
[root@zdevops-master k8s-yaml]# kubectl get svc -n zdevops -o wide
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE SELECTOR
rabbitmq-cluster ClusterIP 10.233.56.153 <none> 15692/TCP,5672/TCP,15672/TCP 107s app.kubernetes.io/name=rabbitmq-cluster
rabbitmq-cluster-external NodePort 10.233.63.84 <none> 15672:31672/TCP 74m app.kubernetes.io/name=rabbitmq-cluster
rabbitmq-cluster-nodes ClusterIP None <none> 4369/TCP,25672/TCP 107s app.kubernetes.io/name=rabbitmq-cluster
- 图形化管理界面
从管理界面中可以看到一个三节点的集群
清理资源
- 清理 RabbitmqClusters
[root@zdevops-master k8s-yaml]# kubectl delete rabbitmqclusters rabbitmq-cluster -n zdevops
- 清理管理页面外部服务
[root@zdevops-master k8s-yaml]# kubectl delete svc rabbitmq-cluster-external -n zdevops
结束语
本系列文档是我在云原生技术领域的学习和运维实践的手记,用输出倒逼输入是一种高效的学习方法,能够快速积累经验和提高技术,只有把学到的知识写出来并能够让其他人理解,才能说明真正掌握了这项知识。
本系列文档内容涵盖 (但不限于) 以下技术领域:
- KubeSphere
- Kubernetes
- Ansible
- 自动化运维
- CNCF 技术栈
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- Github: https://github.com/devops/z-notes
- Gitee: https://gitee.com/zdevops/z-notes
- 知乎: https://www.zhihu.com/people/zdevops/
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