文章目录
- 一、什么是DCE 5.0
- 二、部署先决条件
- 三、创建云服务器实例
- 3.1 实例节点配置[最低配置要求]
- 3.2 远程连接云实例
- 3.3 更新系统
- 四、安装Docker-CE
- 五、使用 Kind 搭建 Kubernetes 集群
- 六、安装依赖包
- 6.1 helm安装
- 6.2 skopeo安装
- 6.3 kubectl安装
- 6.4 yq安装
- 七、安装 DCE 5.0 社区版
- 八、登录DaoCloud
- 8.1 容器管理
- 8.2 可观测性
- 8.3 全局管理
- 九、常见问题
- 9.1 安装报错问题
- 9.2 依赖包版本问题
- 9.3 系统兼容性问题
- 十、参考链接
一、什么是DCE 5.0
DaoCloud Enterprise 5.0 是一款高性能、可扩展的云原生操作系统。 它能够在任何基础设施和任意环境中提供一致、稳定的体验，支持异构云、边缘云和多云编排。 DCE 5.0 集成了最新的服务网格和微服务技术，能够跟踪每一个流量的生发始终， 帮助您洞察集群、节点、应用和服务的详细指标，并通过动态仪表盘和拓扑大图可视化掌握应用健康状态。
二、部署先决条件
1、准备节点
为了顺利安装DCE社区版，节点应满足如下要求：
- CPU > 8核
- 内存 > 12GB
- 磁盘大小 > 100GB
2、安装Docker
3、安装kubectl
4、安装kind
5、使用kind创建集群
6、安装依赖包（helm、skopeo、kubectl、yq）
7、安装DCE 5.0
8、后续完善
三、创建云服务器实例
3.1 实例节点配置[最低配置要求]
| 操作系统 | CentOS 7.9 |
|---|---|
| 内存大小 | > 12GB |
| CPU核数 | > 8核 |
| 磁盘大小 | > 100GB |
| 实例类型 | m5.2xlarge |
3.2 远程连接云实例
C:\Users\xyb>ssh -i <密钥> centos@16.163.127.49
[centos@ip-172-18-16-59 ~]$ cat /etc/redhat-release
CentOS Linux release 7.9.2009 (Core)
[centos@ip-172-18-16-59 ~]$
3.3 更新系统
# 获取管理员权限
$ sudo -i
# 更新操作系统
# yum update -y
四、安装Docker-CE
- 安装Docker
# sudo yum install -y yum-utils device-mapper-persistent-data lvm2
# sudo yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
# sudo sed -i 's+download.docker.com+mirrors.aliyun.com/docker-ce+' /etc/yum.repos.d/docker-ce.repo
# sudo yum makecache fast
# sudo yum -y install docker-ce
# sudo service docker start
# sudo systemctl enable docker
# sudo systemctl status docker
- 查看Docker版本信息
# docker version
Client: Docker Engine - Community
Version: 24.0.5
API version: 1.43
Go version: go1.20.6
Git commit: ced0996
Built: Fri Jul 21 20:39:02 2023
OS/Arch: linux/amd64
Context: default
Server: Docker Engine - Community
Engine:
Version: 24.0.5
API version: 1.43 (minimum version 1.12)
Go version: go1.20.6
Git commit: a61e2b4
Built: Fri Jul 21 20:38:05 2023
OS/Arch: linux/amd64
Experimental: false
containerd:
Version: 1.6.22
GitCommit: 8165feabfdfe38c65b599c4993d227328c231fca
runc:
Version: 1.1.8
GitCommit: v1.1.8-0-g82f18fe
docker-init:
Version: 0.19.0
GitCommit: de40ad0
五、使用 Kind 搭建 Kubernetes 集群
kind 是 Kubernetes 官方推荐用于快速搭建测试集群的工具，全称为 Kubernetes in Docker，指通过Docker 来运行Kubernetes。
- 下载 kind 的二进制文件包
# curl -Lo ./kind https://qiniu-download-public.daocloud.io/kind/v0.17.0/kind-linux-amd64
# chmod +x ./kind
# old_kind=$(which kind)
# if [ -f "$old_kind" ]; then mv ./kind $old_kind; else mv ./kind /usr/bin/kind ; fi
# kind version
kind v0.17.0 go1.19.2 linux/amd64
- 创建kind_cluster.yaml，暴露端口8888。
apiVersion: kind.x-k8s.io/v1alpha4
kind: Cluster
nodes:
- role: control-plane
extraPortMappings:
- containerPort: 32088
hostPort: 8888
- 创建
xyb-kind-cluster集群
kind create cluster --image release.daocloud.io/kpanda/kindest-node:v1.25.3 --name=xyb-kind-cluster --config=kind_cluster.yaml
# kind create cluster --image release.daocloud.io/kpanda/kindest-node:v1.25.3 --name=xyb-kind-cluster --config=kind_cluster.yaml
Creating cluster "xyb-kind-cluster" ...
✓ Ensuring node image (release.daocloud.io/kpanda/kindest-node:v1.25.3) 🖼
✓ Preparing nodes 📦
✓ Writing configuration 📜
✓ Starting control-plane 🕹️
✓ Installing CNI 🔌
✓ Installing StorageClass 💾
Set kubectl context to "kind-xyb-kind-cluster"
You can now use your cluster with:
kubectl cluster-info --context kind-xyb-kind-cluster
Have a nice day! 👋
[root@dce ~]# kubectl cluster-info --context kind-xyb-kind-cluster
Kubernetes control plane is running at https://127.0.0.1:34915
CoreDNS is running at https://127.0.0.1:34915/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
[root@dce ~]# kubectl get nodes -A
NAME STATUS ROLES AGE VERSION
xyb-kind-cluster-control-plane Ready control-plane 23m v1.25.3
[root@dce ~]# kubectl get pods --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-565d847f94-nmwdk 1/1 Running 0 23m
kube-system coredns-565d847f94-qmrxb 1/1 Running 0 23m
kube-system etcd-xyb-kind-cluster-control-plane 1/1 Running 0 23m
kube-system kindnet-tflqd 1/1 Running 0 23m
kube-system kube-apiserver-xyb-kind-cluster-control-plane 1/1 Running 0 23m
kube-system kube-controller-manager-xyb-kind-cluster-control-plane 1/1 Running 0 23m
kube-system kube-proxy-s744f 1/1 Running 0 23m
kube-system kube-scheduler-xyb-kind-cluster-control-plane 1/1 Running 0 23m
local-path-storage local-path-provisioner-684f458cdd-2znp7 1/1 Running 0 23m
六、安装依赖包
在安装完Kind集群后，需要确保集群中已安装所有依赖项，且确保依赖包的版本符合以下要求：
- helm ≥ 3.11.1
- skopeo ≥ 1.11.1
- kubectl ≥ 1.25.6
- yq ≥ 4.31.1
6.1 helm安装
# curl https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 > get_helm.sh
# chmod 700 get_helm.sh
# yum install -y git
# ./get_helm.sh
# helm version
version.BuildInfo{Version:"v3.12.3", GitCommit:"3a31588ad33fe3b89af5a2a54ee1d25bfe6eaa5e", GitTreeState:"clean", GoVersion:"go1.20.7"}
🎇https://helm.sh/docs/intro/install/
6.2 skopeo安装
# yum -y install skopeo
# skopeo --version
skopeo version 1.11.2-dev
📶 https://github.com/containers/skopeo/blob/main/install.md
6.3 kubectl安装
- 添加 Kubernetes 的
yum仓库。如果你想使用 v1.28 之外的 Kubernetes 版本， 将下面命令中的 v1.28 替换为所需的次要版本。
# cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://pkgs.k8s.io/core:/stable:/v1.28/rpm/
enabled=1
gpgcheck=1
gpgkey=https://pkgs.k8s.io/core:/stable:/v1.28/rpm/repodata/repomd.xml.key
EOF
- 使用
yum安装 kubectl：
# sudo yum install -y kubectl
- 验证kubectl配置
# kubectl version
Client Version: v1.28.1
Kustomize Version: v5.0.4-0.20230601165947-6ce0bf390ce3
Server Version: v1.25.3
🔎https://kubernetes.io/zh-cn/docs/tasks/tools/install-kubectl-linux/
6.4 yq安装
# wget https://github.com/mikefarah/yq/releases/latest/download/yq_linux_amd64 -O /usr/bin/yq && chmod +x /usr/bin/yq
# yq --version
yq (https://github.com/mikefarah/yq/) version v4.35.1
✅https://github.com/mikefarah/yq
七、安装 DCE 5.0 社区版
- 在 kind 主机下载 dce5-installer 二进制文件
# export VERSION=v0.9.0
# curl -Lo ./dce5-installer https://proxy-qiniu-download-public.daocloud.io/DaoCloud_Enterprise/dce5/dce5-installer-$VERSION
# chmod +x ./dce5-installer
- 获取 kind 所在主机的 IP，然后开始安装 DCE 5.0
## 若选择使用本地虚拟机安装，执行如下命令：
# myIP=$(ip -o route get 1.1.1.1 | cut -d " " -f 7)
# ./dce5-installer install-app -z -k $myIP:8888
---
## 若选择使用云服务器实例进行安装，执行如下命令：
# ./dce5-installer install-app -z -k <公网IP地址>:8888
安装完成，结果如下图所示。
八、登录DaoCloud
输入主机IP地址:8888
输入用户名和密码。
- 用户名：admin
- 密码：changeme
初次登录需要获取离线授权码。
- 获取离线授权码
获取离线授权码链接：https://license.daocloud.io/dce5-license
apiVersion: ghippo.io/v1alpha1
kind: GProductLicense
metadata:
name: kpanda
spec:
code: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.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.YF4G_h6Pu-k0WePtW_uk1SzSj25oNEC9pDX7KODBm0cQCendSJ5OgA_B6Jaq-XMnR2Uk6XQmyDMzaeoAr4wswwgf4o0opRn27RkDB5WC3Texem5Qd5gdjRJ8BsTnbtvaA1j3gOv1Q5SGSOdP2kPAGk3hKbsN6KlFuN3uclK87Uyrp4A37ySfkPJzZwAZ7s0nTUs00gpkhdoodYHikM2cP_CCoEmzvC-VDk5iJ4aQdtmMDynDKVQnh4ws43InXS8PDuuBY4bltpvzffxz5zUIdpGzpEt1_dKvBLao-gSL8DInzniLHbmh6bmwrR8o9EBZSVBuBOpnwgK_-4KhIRsSKQ
---
apiVersion: ghippo.io/v1alpha1
kind: GProductLicense
metadata:
name: insight
spec:
code: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.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.hoA9rKzsiHw3SIHF7kV5px6CLaTZTELMu5Db78eUvYr9kSo0VX1uJdOrwGbhFlco7n9ppbJSsBupPajZ4UUC3JB9OLpJ8mCm1Skp5MeYKNIsLUOMd0w2vNsIXCsZ62LNCkn6veMag5pBqvkEEeqNzdpD9pSXqWNBWSLtXkI_eUYoAyqoZhQ8l9vzjmEzBiLZzHM_6KrylOjzM6kFCZXQApoAxnfcpktiLoJFe4E8_r6pfbi8520ErEUWDgrYYCtxy8w4eC0dRPFmQb0eHjyYp3tueVe-X1-8XvhbmhkHLIW0jvVcnf4Ij8a9YXWX57T2Ua_BG_e1zqeNd15NY21ZdQ
---
apiVersion: ghippo.io/v1alpha1
kind: GProductLicense
metadata:
name: ghippo
spec:
code: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.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.q0BRq9sKSWmnnWwr1-9LWl5K0Qz_rjtfqCa56p_gntLu2FwQam-o4Ag6aW1_utuT6j2Squih2f5xnqQX8c5ovoGdQNNoj8SyLher88RY4EEYqkSRJSMBgVhM3bz7I1k0jo-ThyGXtS4MjYPZLWMbK-WbYnu_Oy9lLbpCWunylCynj5L4wFz9-dasNLoYzJCuIZR3yjut_dOdWTLGx08nuepT49Dq4OG_1KApI8lhW2BLZgU3HgYH3Str3B1nVul6iy1wfhqQprCXfHNVlZvCt63bvHvr0v3wwe995XixrC6Vw_Okkzv6VmLwH_ONombRNkzHhVzU_AlQuzg36NOIKA
选择激活许可证。
容器管理等授权被激活。
成功登录至DCE 5.0社区版管理后台。
[root@ip-172-18-16-59 ~]# kubectl get pods -A
NAMESPACE NAME READY STATUS RESTARTS AGE
ghippo-system ghippo-anakin-69df9779d7-nhlt5 2/2 Running 0 136m
ghippo-system ghippo-apiserver-558d9c4674-bk94x 2/2 Running 0 136m
ghippo-system ghippo-auditserver-5f9fd89668-5b2g8 2/2 Running 0 136m
ghippo-system ghippo-controller-manager-575dfc6fb8-6nc8c 2/2 Running 0 136m
ghippo-system ghippo-keycloakx-0 2/2 Running 0 136m
ghippo-system ghippo-ui-85dd696b6-z65hf 2/2 Running 0 136m
insight-system grafana-deployment-69467c755f-fd8mn 1/1 Running 0 128m
insight-system insight-agent-fluent-bit-hqpd8 1/1 Running 0 127m
insight-system insight-agent-kube-prometh-operator-74d6f98b67-t6frm 1/1 Running 0 127m
insight-system insight-agent-kube-state-metrics-56b5f9b594-ggsh2 1/1 Running 0 127m
insight-system insight-agent-kubernetes-event-exporter-658b7dbdc4-mqfnc 1/1 Running 0 127m
insight-system insight-agent-prometheus-node-exporter-jvplg 1/1 Running 0 127m
insight-system insight-agent-tailing-sidecar-operator-759d9fcbdd-75b66 2/2 Running 0 127m
insight-system insight-grafana-operator-66856b4db7-dtwjl 1/1 Running 0 130m
insight-system insight-opentelemetry-collector-7b4976995d-2wjnz 1/1 Running 0 130m
insight-system insight-runbook-6c89784569-ccqrs 1/1 Running 0 130m
insight-system insight-server-864b9cc868-kt728 1/1 Running 0 130m
insight-system insight-ui-56fcd89fd7-dgbjn 1/1 Running 0 130m
insight-system insight-victoria-metrics-operator-77bf54cf77-z76zh 1/1 Running 0 130m
insight-system prometheus-insight-agent-kube-prometh-prometheus-0 2/2 Running 0 126m
insight-system prometheus-insight-agent-kube-prometh-prometheus-1 2/2 Running 0 126m
insight-system vmalert-insight-victoria-metrics-k8s-stack-85788775b8-jpjqf 2/2 Running 0 130m
insight-system vmalertmanager-insight-victoria-metrics-k8s-stack-0 2/2 Running 0 130m
insight-system vminsert-insight-victoria-metrics-k8s-stack-6bf6d785fb-r64d2 1/1 Running 0 130m
insight-system vmselect-insight-victoria-metrics-k8s-stack-0 1/1 Running 0 130m
insight-system vmstorage-insight-victoria-metrics-k8s-stack-0 1/1 Running 0 130m
ipavo-system ipavo-749886b5c6-9tg89 2/2 Running 0 126m
ipavo-system ipavo-749886b5c6-j64cn 2/2 Running 0 126m
ipavo-system ipavo-ui-7d99c68cdf-qlzzd 1/1 Running 0 126m
ipavo-system ipavo-ui-7d99c68cdf-zv6ng 1/1 Running 0 126m
istio-system istio-ingressgateway-5dff699dd7-vszlq 1/1 Running 0 143m
istio-system istio-os-init-8qgvx 1/1 Running 0 142m
istio-system istiod-69c59b6bbd-vhzkg 1/1 Running 0 143m
kcollie-system kcollie-apiserver-67f664cdc4-jzjj8 1/1 Running 0 125m
kcollie-system kcollie-collector-684496988b-9cvr4 1/1 Running 0 125m
kcollie-system kcollie-collector-684496988b-9lbhw 1/1 Running 0 125m
kcollie-system kcollie-controller-manager-7798cdbdf7-5bmkn 1/1 Running 0 125m
kcollie-system kcollie-controller-manager-7798cdbdf7-jdx42 1/1 Running 0 125m
kcollie-system kcollie-ui-5cc7f6459-rd7kt 1/1 Running 0 125m
kcollie-system vmalert-kcollie-receiver-5f775d68cc-7szzz 2/2 Running 0 125m
kpanda-system kpanda-apiserver-7d5d8c55d8-cttj8 2/2 Running 1 (131m ago) 133m
kpanda-system kpanda-bindings-syncer-5d9cf7d44b-nhmdf 2/2 Running 1 (132m ago) 133m
kpanda-system kpanda-cloudtty-controller-manager-855c465bd4-thnwb 2/2 Running 1 (132m ago) 133m
kpanda-system kpanda-clusterpedia-apiserver-6447888f47-t4wn9 2/2 Running 0 133m
kpanda-system kpanda-clusterpedia-clustersynchro-manager-64cb4c49cc-rfxd7 2/2 Running 0 133m
kpanda-system kpanda-clusterpedia-controller-manager-74b9b5659f-8fskw 2/2 Running 0 133m
kpanda-system kpanda-controller-manager-bbc8f4994-kp5mc 2/2 Running 1 (132m ago) 133m
kpanda-system kpanda-egress-7759b995dc-l9j6k 3/3 Running 1 (132m ago) 133m
kpanda-system kpanda-ingress-f59d6cc4b-xrbjm 3/3 Running 1 (132m ago) 133m
kpanda-system kpanda-ui-c5f65cf5-bt8k2 2/2 Running 0 133m
kube-system coredns-565d847f94-4v5ft 1/1 Running 0 145m
kube-system coredns-565d847f94-vcx9s 1/1 Running 0 145m
kube-system etcd-xyb-kind-cluster-control-plane 1/1 Running 0 145m
kube-system kindnet-slc2s 1/1 Running 0 145m
kube-system kube-apiserver-xyb-kind-cluster-control-plane 1/1 Running 0 145m
kube-system kube-controller-manager-xyb-kind-cluster-control-plane 1/1 Running 0 145m
kube-system kube-proxy-2j5pd 1/1 Running 0 145m
kube-system kube-scheduler-xyb-kind-cluster-control-plane 1/1 Running 0 145m
local-path-storage local-path-provisioner-684f458cdd-fsjnh 1/1 Running 0 145m
mcamel-system console-5f559b8f77-285w4 1/1 Running 0 142m
mcamel-system elastic-operator-0 1/1 Running 0 142m
mcamel-system mcamel-common-es-cluster-masters-es-data-0 1/1 Running 0 140m
mcamel-system mcamel-common-kpanda-mysql-cluster-mysql-0 4/4 Running 0 140m
mcamel-system mcamel-common-minio-cluster-pool-0-0 1/1 Running 0 140m
mcamel-system mcamel-common-mysql-cluster-mysql-0 4/4 Running 1 (137m ago) 140m
mcamel-system minio-operator-69859d5848-xzjsd 1/1 Running 0 142m
mcamel-system mysql-operator-0 2/2 Running 0 142m
mcamel-system redis-cluster-operator-cc9d4b5f5-l5mx7 1/1 Running 0 142m
mcamel-system redis-cluster-operator-redis-ha-operator-65444cfc84-szmw2 1/1 Running 0 142m
mcamel-system rfr-mcamel-common-redis-cluster-0 1/1 Running 0 140m
mcamel-system rfs-mcamel-common-redis-cluster-7b886475d4-x6bds 1/1 Running 0 140m
8.1 容器管理
8.2 可观测性
8.3 全局管理
九、常见问题
9.1 安装报错问题
9.2 依赖包版本问题
系统依赖包需要设置成指定的版本。
9.3 系统兼容性问题
本实验采用的是CentOS 7.9操作系统进行安装的。之前采用Rocky Linux 9.2操作系统进行安装发现系统不兼容。具体的系统兼容配置请参考如下链接：
DCE 5 声明支持的 OS 类型：https://docs.daocloud.io/install/commercial/deploy-requirements.html
未声明支持的 Other Linux 离线部署 DCE 5.0 商业版： https://docs.daocloud.io/install/os-install/otherlinux.html
十、参考链接
🟢 https://docs.daocloud.io/install/community/kind/online/
🔴 https://www.daocloud.io/
![[UDS] --- DiagnosticSessionControl 0x10 service](https://img-blog.csdnimg.cn/e8b70ca29e14402eacda142f246961e2.png)
