本文主要是介绍K3S部署，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
k3s官网
一个server端、一个Agent端，
Kubernetes control plane 组件的操作都封装在单个二进制文件和进程中
requirements
- 最低1U 512MB K3s 的性能取决于数据库的性能。
- 为确保最佳速度，我们建议尽可能使用 SSD K3s 服务器
- 需要端口 6443 才能被所有节点访问2379，2380。
脚本方式安装
curl -sfL https://rancher-mirror.rancher.cn/k3s/k3s-install.sh | INSTALL_K3S_MIRROR=cn sh -
- kubeconfig 文件位于/etc/rancher/k3s/k3s.yaml
加载镜像(所有节点都需要操作)
github上找到对应release下载
mkdir -p /var/lib/rancher/k3s/agent/images/
wget https://github.com/k3s-io/k3s/releases/download/v1.30.0%2Bk3s1/k3s-airgap-images-amd64.tar.gz
ctr i import k3s-airgap-images-amd64.tar
加入节点（如果你想-可选）
K3S_URL 参数会导致安装程序将 K3s 配置为 Agent 而不是 Server。K3s Agent 将注册到在 URL 上监听的 K3s Server。myserver写server IP地址
K3S_TOKEN 使用的值存储在 Server 节点上的 /var/lib/rancher/k3s/server/node-token 中
curl -sfL https://rancher-mirror.rancher.cn/k3s/k3s-install.sh | INSTALL_K3S_MIRROR=cn K3S_URL=https://myserver:6443 K3S_TOKEN=mynodetoken sh -
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卸载server（在server上执行）
分别会在各个节点上有相应的卸载脚本
/usr/local/bin/k3s-uninstall.sh
卸载agent（在agent上执行）
/usr/local/bin/k3s-agent-uninstall.sh
#/usr/local/bin/k3s-killall.sh 停止
#systemctl start k3s-agent 启动
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创建镜像仓库
创建镜像仓库日后在写
没用的东西不看
k3s Installation
Introduction
In this lab we will be installing k3s.Prerequisite
All of our labs are built upon one another. Please make sure all previous labs are completed before starting this lab.Workflow
Hardware
For this lab we are going to need at least two virtual machine or a physical machine to install k3s on. The machines need to be of a particular architecture outlined here:x86_64
armhf
arm64/aarch64
s390x
Each of these machines need the minimum requirements:CPU: 1 core
Ram: 512 MB
Recommended:CPU: 2 cores
RAM: 1 GB
Operating System
K3s will work on most modern Linux system. Note there are differences for CentOS/Red Hat and Raspberry Pi OS.For these labs we will be using openSUSE Leap.k3s Version
In this course we are going to do an upgrade to a newer version of k3s. To do this we are going to need to find the latest version of k3s and take the stable release one minor version back.For example if the latest release of the latest version of k3s is v1.27.4+k3s1 we are going to want to use the v1.26.7+k3s1 of k3s.You can find the latest versions of k3s here.NOTE: don't try this lab with any marked as Pre-release.Server Script Install
One of the easiest ways to install k3s is by the installation script.You will need to ssh in to the server node.The install script lives here https://get.k3s.io/. To run this we are going to use a few flags:curl -sfL https://get.k3s.io | INSTALL_K3S_VERSION=v1.26.7+k3s1 INSTALL_K3S_EXEC="server --cluster-init --node-ip 192.168.3.2 --node-external-ip 192.168.3.2" sh -s -
NOTE: the k3s version might not be the one prior to the latest! Check here for the correct version.This setups up the server installation on our server VM.To test to see if everything is running k3s comes with kubectl so while still logged in to our server instance we can do a quick check to make sure all is running:k3s kubectl get pods -A
And you should see the following output:NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system local-path-provisioner-957fdf8bc-sd297 1/1 Running 0 107s
kube-system coredns-77ccd57875-sbrsl 1/1 Running 0 107s
kube-system helm-install-traefik-crd-7926x 0/1 Completed 0 107s
kube-system helm-install-traefik-rswvl 0/1 Completed 1 107s
kube-system metrics-server-648b5df564-5xbcw 1/1 Running 0 107s
kube-system svclb-traefik-ea396d7d-4h9f6 2/2 Running 0 53s
kube-system traefik-64f55bb67d-5cqxm 1/1 Running 0 53s
Once you see that the system pods are either Running or Completed we need to get the token from the server to do so run the following command:sudo cat /var/lib/rancher/k3s/server/node-token
You will get the token needed for adding the agent (Note: it will not be this exact key):K105b9c68df80752c8f9d498097b764a35f9ba2c0220b2ea8951cef3aca111d9f33::server:2855bde078f38f3964f3f36e6e37dfbb
To logout of the server vm.Agent Script Install
Now we need to install k3s on the agent vm.First let's remote in to our agent vm.Again the install script lives here https://get.k3s.io/. To run this we are going to use a few flags (Note: this will take a few moments.):curl -sfL https://get.k3s.io | INSTALL_K3S_VERSION=v1.26.7+k3s1 INSTALL_K3S_EXEC="agent --server https://192.168.3.2:6443 --node-ip 192.168.3.3 --node-external-ip 192.168.3.3" K3S_TOKEN=K105b9c68df80752c8f9d498097b764a35f9ba2c0220b2ea8951cef3aca111d9f33::server:2855bde078f38f3964f3f36e6e37dfbb K3S_NODE_NAME=agent sh -
NOTE: the k3s version might not be the one prior to the latest! Check here for the correct version.NOTE: The K3S_TOKEN is the token we pulled from the server earlier.kubectl Remotely
Just so we don't have to remain logged into the server VM let's copy down the config:ssh server -c "sudo cat /etc/rancher/k3s/k3s.yaml" > k3s.yaml
This will copy down the KUBECONFIG file down from the server.We are going to need to modify the k3s.yaml file:apiVersion: v1
clusters:
- cluster:certificate-authority-data: LS0tLS1CRUserver: https://127.0.0.1:6443name: default
contexts:
- context:cluster: defaultuser: defaultname: default
current-context: default
kind: Config
preferences: {}
users:
- name: defaultuser:client-certificate-data: LS0tLS1CRUclient-key-data: LS0tLS1CRU(Note: the certificate data has been cut down.)We are going to need to change the variable of the server from:server: https://127.0.0.1:6443
To the following:server: https://192.168.3.2:6443
Now we are going to copy this k3s.yaml file to our .kube directory:cp k3s.yaml $HOME/.kube
From there we are going to set the KUBECONFIG variable to the location of the k3s.yaml file:export KUBECONFIG=$HOME/.kube/k3s.yaml
To test to see if this works we can run the following this command:kubectl get nodes
And you should see something like this:NAME STATUS ROLES AGE VERSION
agent Ready <none> 21s v1.26.7+k3s1
server Ready control-plane,etcd,master 3m9s v1.26.7+k3s1
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