在腾讯云上安装 K3S
后续会在这套 K3S 集群上安装 Rancher
有腾讯云账户，账户至少拥有如下权限：auto k3s 安装 - 设置 CAM 以及这些权限:
QcloudTAGFullAccess该腾讯云账号有对应的 API 密钥，地址：访问密钥 - 控制台 (tencent.com) ，或者拥有相关权限：cam:QueryCollApiKey 和 cam:CreateCollApiKey
一台 linux 操作机，用于部署 autok3s
一个对象存储通 cos，用于备份
已有的镜像仓库的一些账号密码或认证信息，包括：quay，docker，腾讯云 （用于加速 pull push镜像）
ℹ️ Info:
腾讯云 tcr 广州 提供免费个人版实例，可以使用并添加：
本次 K3s 安装参数如下：
3台0ap-shanghai）ap-shanghai-2）S5.MEDIUM8img-22trbn9x (ubuntu 20.04)CLOUD_SSD (ℹ️ CLOUD_PREMIUM(高性能云盘), CLOUD_SSD(SSD云硬盘))50 G5 (可以按需调小)falsev1.21.7+k3s1truetruetrue⚠️ Warning:
执行
autok3s创建前, 如果选择已有的安全组, 那么 CVM 实例至少需要应用以下安全组规则:Rule Protocol Port Source Description InBound TCP 22 ALL SSH Connect Port InBound TCP 6443 K3s agent nodes Kubernetes API InBound TCP 10250 K3s server & agent Kubelet InBound UDP 8472 K3s server & agent (Optional) Required only for Flannel VXLAN InBound TCP 2379,2380 K3s server nodes (Optional) Required only for embedded ETCD OutBound ALL ALL ALL Allow All特别是: 22 端口必须要对操作机的公网IP 开放
原因: autok3s 自动部署公有云时, 通过公网IP 上传 KeyPair, 如果没有以上安全组,
autok3s会执行失败. 报错如下: (101.34.46.218就是公网 IP)level=error msg="[ssh-dialer] init dialer [101.34.46.218:22] error: [tencent] calling getInstanceStatus error. region: ap-shanghai, zone: ap-shanghai-2, instanceName: [ins-ggxozpyl ins-cfi2vio1 ins-78rkem0b], message: not `RUNNING` status"
在操作机上安装，命令如下：
curl -sS http://rancher-mirror.cnrancher.com/autok3s/install.sh | INSTALL_AUTOK3S_MIRROR=cn sh
过程如下：
Downloading package http://rancher-mirror.rancher.cn/autok3s/v0.4.6/autok3s_linux_amd64 as /tmp/autok3s_linux_amd64
Download complete.
Running with sufficient permissions to attempt to move autok3s to /usr/local/bin
New version of autok3s installed to /usr/local/bin
Version: {"gitVersion":"v0.4.6","gitCommit":"4537e6ee2aea8b204a72f7b6c377edb154f7c058","gitTreeState":"","buildDate":"2021-12-28T04:15:30Z","goVersion":"go1.16.2","compiler":"gc","platform":"linux/amd64"}
Downloading package http://rancher-mirror.rancher.cn/kube-explorer/v0.2.7/kube-explorer-linux-amd64 as /tmp/kube-explorer-linux-amd64
Download complete.
Running with sufficient permissions to attempt to move kube-explorer to /usr/local/bin
New version of kube-explorer installed to /usr/local/bin
Skipping /usr/local/bin/kubectl symlink to autok3s, already exists
您可以通过以下 CLI 命令启动本地 UI。
autok3s serve --bind-address 0.0.0.0 --bind-port 8087
⚠️ Warning:
页面无登录认证，确保最小权限开放以及用完后及时关闭。
输出如下：
INFO[0000] run as daemon, listening on 127.0.0.1:8087
访问 UI：http://<操作机IP>:8087
如果今后要多次安装，可以在 UI 上创建可复用的模板，模板包括如下固定参数：
Credential Options：
Instance Options
ap-shanghaiap-shanghai-2S5.MEDIUM8img-22trbn9x (ubuntu 20.04)CLOUD_SSD50 G5Disableubuntu22Disableapp=rancherenv=prodprovider=k3sK3s Options
Basic
stablev1.21.7+k3s1 (ℹ️ Info: 202201 根据 suse 官网选型的最新稳定版，k3s v1.21.7+k3s1，后面会按需调整版本)Enable(启用集群模式，使用 etcd 组成高可用集群)http://rancher-mirror.cnrancher.com/k3s/k3s-install.shMaster
Master: 3
Master Extra Args：
--write-kubeconfig-mode "644" --pause-image registry.cn-hangzhou.aliyuncs.com/rancher/pause:3.6 --etcd-s3 --etcd-snapshot-schedule-cron 0 0 * * * --etcd-s3-endpoint cos.ap-shanghai.myqcloud.com --etcd-s3-access-key <your-cos-access-key> --etcd-s3-secret-key <your-cos-secret-key> --etcd-s3-bucket <your-cos-bucket> --etcd-s3-folder /rancher/k3s
Worker
0Advance: 留空
TLS Sans: 留空 (⚠️ 如果前面会使用 CLB 作为负载均衡，那么建议填上 CLB VIP)
Registry, 见下面registries.yaml
Additional Options
explorerregistries.yaml:
mirrors:
docker.io:
endpoint:
- "https://mirror.ccs.tencentyun.com"
- "https://registry.cn-hangzhou.aliyuncs.com"
- "https://docker.mirrors.ustc.edu.cn"
quay.io:
endpoint:
- "https://mirror.ccs.tencentyun.com"
configs:
'ccr.ccs.tencentyun.com':
auth:
username: <your-account-id>
password: <your-registry-password>
访问 UI 界面, 点击 Quick Start, Provider 选择 tencent;
然后在下方填入自定义的信息, 主要是填写 Network 的信息, 如下图:
点击 Create, 等待返回结果即可.
您也可以通过以下 CLI 在 腾讯云上快速创建一个 3 master, 0 worker 节点的 K3s 高可用集群。
autok3s create --provider tencent --cluster --enable [ "explorer" ] --k3s-channel stable --k3s-install-mirror INSTALL_K3S_MIRROR=cn --k3s-install-script http://rancher-mirror.cnrancher.com/k3s/k3s-install.sh --k3s-version v1.21.7+k3s1 --master 3 --master-extra-args '--write-kubeconfig-mode "644" --pause-image registry.cn-hangzhou.aliyuncs.com/rancher/pause:3.6 --etcd-s3 --etcd-snapshot-schedule-cron 0 0 * * * --etcd-s3-endpoint cos.ap-shanghai.myqcloud.com --etcd-s3-access-key <your-cos-access-key> --etcd-s3-secret-key <your-cos-secret-key> --etcd-s3-bucket <your-cos-bucket> --etcd-s3-folder /rancher/k3s' --name rancher-1 --ssh-port 22 --ssh-user ubuntu --tls-sans <your-clb-ip> --worker 0 --disk-category CLOUD_SSD --disk-size 50 --image img-22trbn9x --instance-type S5.MEDIUM8 --internet-max-bandwidth-out 5 --keypair-id <your-keypair-id> --region ap-shanghai --secret-id <your-tencent-secret-id> --secret-key <your-tencent-secret-key> --tags 'app=rancher' --tags 'env=prod' --tags 'provider=k3s' --zone ap-shanghai-2 --vpc <your-vpc-id> --subnet <your-subnet-id> --registry /etc/autok3s/registries.yaml
安装成功日志显示如下:
time="2022-02-12T14:52:16+08:00" level=info msg="[tencent] executing create logic..."
INFO[0000] [tencent] use existing key pair
time="2022-02-12T14:52:16+08:00" level=info msg="[tencent] 3 masters and 0 workers will be added"
time="2022-02-12T14:52:16+08:00" level=info msg="[tencent] check default security group autok3s in region ap-shanghai"
time="2022-02-12T14:52:16+08:00" level=info msg="[tencent] create default security group autok3s in region ap-shanghai"
time="2022-02-12T14:52:16+08:00" level=info msg="[tencent] check rules of security group autok3s"
time="2022-02-12T14:52:18+08:00" level=info msg="[tencent] 3 number of master instances will be created"
time="2022-02-12T14:52:23+08:00" level=info msg="[tencent] 3 number of master instances successfully created"
time="2022-02-12T14:52:23+08:00" level=info msg="[tencent] waiting for the instances [ins-xxxxx] to be in `RUNNING` status..."
time="2022-02-12T14:52:54+08:00" level=info msg="[tencent] instances [ins-xxxxx] are in `RUNNING` status"
time="2022-02-12T14:52:54+08:00" level=info msg="[tencent] executing init k3s cluster logic..."
time="2022-02-12T14:52:54+08:00" level=info msg="[tencent] creating k3s master-1..."
mirrors:
docker.io:
endpoint:
- https://mirror.ccs.tencentyun.com
- https://registry.cn-hangzhou.aliyuncs.com
- https://docker.mirrors.ustc.edu.cn
quay.io:
endpoint:
- https://mirror.ccs.tencentyun.com
configs:
ccr.ccs.tencentyun.com:
auth:
username:
password:
auth: ""
identity_token: ""
tls: null
auths: {}
time="2022-02-12T14:53:26+08:00" level=info msg="[cluster] k3s master command: curl -sLS http://rancher-mirror.cnrancher.com/k3s/k3s-install.sh | INSTALL_K3S_MIRROR=cn K3S_TOKEN='xxxxxxx' INSTALL_K3S_EXEC='server --tls-san xxxxx --tls-san xxxxxxxx --tls-san xxxxxxx --node-external-ip xxxxxx --write-kubeconfig-mode \"644\" --pause-image registry.cn-hangzhou.aliyuncs.com/rancher/pause:3.6 --disable-cloud-controller --cluster-cidr 10.42.0.0/16 --cluster-init' INSTALL_K3S_VERSION='v1.21.7+k3s1' sh -"
[INFO] Using v1.21.7+k3s1 as release
[INFO] Downloading hash http://rancher-mirror.cnrancher.com/k3s/v1.21.7-k3s1/sha256sum-amd64.txt
[INFO] Downloading binary http://rancher-mirror.cnrancher.com/k3s/v1.21.7-k3s1/k3s
[INFO] Verifying binary download
[INFO] Installing k3s to /usr/local/bin/k3s
[INFO] Creating /usr/local/bin/kubectl symlink to k3s
[INFO] Creating /usr/local/bin/crictl symlink to k3s
[INFO] Creating /usr/local/bin/ctr symlink to k3s
[INFO] Creating killall script /usr/local/bin/k3s-killall.sh
[INFO] Creating uninstall script /usr/local/bin/k3s-uninstall.sh
[INFO] env: Creating environment file /etc/systemd/system/k3s.service.env
[INFO] systemd: Creating service file /etc/systemd/system/k3s.service
[INFO] systemd: Enabling k3s unit
[INFO] systemd: Starting k3s
time="2022-02-12T14:53:59+08:00" level=info msg="[tencent] successfully created k3s master-1"
time="2022-02-12T14:53:59+08:00" level=info msg="[tencent] creating k3s master-2..."
...
time="2022-02-12T14:54:35+08:00" level=info msg="[tencent] successfully created k3s master-2"
time="2022-02-12T14:54:35+08:00" level=info msg="[tencent] creating k3s master-3..."
...
time="2022-02-12T14:55:06+08:00" level=info msg="[tencent] successfully created k3s master-3"
apiVersion: v1
clusters:
- cluster:
certificate-authority-data: ......
server: https://127.0.0.1:6443
name: default
contexts:
- context:
cluster: default
user: default
name: default
current-context: default
kind: Config
preferences: {}
users:
- name: default
user:
client-certificate-data: ......
client-key-data: ......
time="2022-02-12T14:55:06+08:00" level=info msg="[tencent] deploying additional manifests"
time="2022-02-12T14:55:06+08:00" level=info msg="[tencent] successfully deployed additional manifests"
time="2022-02-12T14:55:06+08:00" level=info msg="[tencent] successfully executed init k3s cluster logic"
---
time="2022-02-12T14:55:07+08:00" level=info msg="[tencent] successfully deployed manifests"
time="2022-02-12T14:55:07+08:00" level=info msg="=========================== Prompt Info ==========================="
time="2022-02-12T14:55:07+08:00" level=info msg="Use 'autok3s kubectl config use-context prod-ha.ap-shanghai.tencent'"
time="2022-02-12T14:55:07+08:00" level=info msg="Use 'autok3s kubectl get pods -A' get POD status`"
🎉 到这里, K3S 集群创建完毕.
🚩 Important:
安装后, 默认 k8s api 通过 公网 IP 进行通信, 出于安全考虑，建议调整 systemd 配置使其通过内网进行通信.
步骤如下:
修改后两台 master 的 /etc/systemd/system/k3s.service.env 的 K3S_URL 为第一台 master 的内网地址
K3S_URL=https://<master1-internal-ip>:6443
第一台 master, 修改 /etc/systemd/system/k3s.service , 增加:
'--node-ip' \
'<master1-internal-ip>' \
'--advertise-address' \
'<master1-internal-ip>' \
另外2台, 增加及修改如下:
'--server' \
'https://<master1-internal-ip>:6443' \
...
'--node-ip' \
'<other-master-internal-ip>' \
'--advertise-address' \
'<other-master-internal-ip>' \
重启生效:
systemctl daemon-reload
systemctl restart k3s.service
验证:
查看 kubernetes 的 endpoint, 从公网地址变为内网地址, 如下:
apiVersion: v1
kind: Endpoints
metadata:
name: kubernetes
namespace: default
...
labels:
endpointslice.kubernetes.io/skip-mirror: 'true'
managedFields:
- manager: k3s
operation: Update
...
selfLink: /api/v1/namespaces/default/endpoints/kubernetes
subsets:
- addresses:
- ip: <master2-internal-ip>
- ip: <master1-internal-ip>
- ip: <master3-internal-ip>
ports:
- name: https
port: 6443
protocol: TCP
入站规则:
最终效果如下: (应该可以进一步收紧)
🎉🎉🎉 至此, 完成腾讯云上 K3S 高可用集群的搭建, 并配置备份.
为后面的 Rancher 搭建做好了基础。
以下是安装后的相关输出信息:
3 个 Master 和 Server hostname、内外网IP
K3S API Server 地址：https://<以上6个IP地址任一个或CLB的IP>:6443
K3S kubeconfig 配置：位于 k3s 的/etc/rancher/k3s/k3s.yaml 以及操作机的 /root/.autok3s/.kube/config
三人行, 必有我师; 知识共享, 天下为公. 本文由东风微鸣技术博客 EWhisper.cn 编写.