本文主要是介绍kubeadm k8s 1.24之后版本安装，带cri-dockerd，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！
最后编辑时间：2024/3/26
适用于1.24之后的版本
单节点配置
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检查是否已经安装kubectl, kubelet, kubeadm直接输入命令确定，如果提示没有该指令则正确
kubectl kubelet kubeadm如果之前安装，首先reset，然后使用apt remove和snap remove删除
sudo kubeadm reset sudo apt remove kubectl kubelet kubeadm sudo snap remove kubectl kubelet kubeadm -
关闭防火墙
查看防火墙状态 inactive说明是未激活
sudo ufw status开机不启动防火墙，重启即可生效
sudo ufw disable -
确保docker已经安装，并正确配置cgroup管理器，例如
配置docker
sudo mkdir -p /etc/docker sudo vi /etc/docker/daemon.json#{ # "registry-mirrors": ["https://2m9jza5s.mirror.aliyuncs.com"], # "insecure-registries": ["localhost:32000"], # "exec-opts": [ "native.cgroupdriver=systemd" ], # "data-root": "/data/wzh/docker/image", # "default-runtime": "nvidia", # "runtimes": { # "nvidia": { # "path": "/usr/bin/nvidia-container-runtime", # "runtimeArgs": [] # } # } #} {"registry-mirrors": ["https://2m9jza5s.mirror.aliyuncs.com"], # 必要"insecure-registries": ["localhost:32000"], "exec-opts": [ "native.cgroupdriver=systemd" ], # 必要"data-root": "/data/wzh/docker/image", # 配置镜像目录 }"https://???.mirror.aliyuncs.com"配成自己的，见链接。
sudo systemctl restart docker -
安装cri-dockerd
以下内容适用1.24之后版本进入https://github.com/Mirantis/cri-dockerd/releases
下载对应cri-dockerd
博主的机器为ubuntu-20，因此下载cri-dockerd_0.3.12.3-0.ubuntu-focal_amd64.deb
然后适用apt安装，注意选择当前目录./
sudo apt install ./cri-dockerd_0.3.12.3-0.ubuntu-focal_amd64.deb然后启用cri-dockerd
sudo systemctl daemon-reload sudo systemctl enable cri-docker.socket sudo systemctl start cri-docker.socket cri-docker cri-dockerd --version ls -al /var/run/cri-dockerd.sock -
安装kubectl, kubelet, kubeadm
# 检查这个kubernetes-cni sudo apt install -y kubelet=1.28.2-00 kubectl=1.28.2-00 kubeadm=1.28.2-00 # apt list kubernetes-cni -a，可以查找有什么版本 # sudo journalctl -u kubelet # 查看kubelet状态 # systemctl status kubelet # 查看kubelet状态 -
禁用swap
sudo vi /etc/default/kubelet # 添加下面这行 KUBELET_EXTRA_ARGS="--fail-swap-on=false" sudo systemctl daemon-reload sudo systemctl restart kubeletsudo vi /etc/fstab 注释掉带 `/swap.img`的那行 -
出错后首先重置：
sudo kubeadm reset rm -rf ~/.kube sudo rm -rf /etc/cni/net.d -
配置dockerd
sudo vi /etc/containerd/config.toml #如果看到了这行： disabled_plugins : ["cri"]#将这行用#注释或者将"cri"删除 #disabled_plugins : ["cri"]disabled_plugins : []#重启容器运行时 sudo systemctl restart containerd -
配置镜像位置
停止cri-docker服务：sudo systemctl stop cri-docker编辑vi /usr/lib/systemd/system/cri-docker.service
找到ExecStart，在最后添加–pod-infra-container-image=registry.aliyuncs.com/google_containers/pause:3.9
ExecStart=/usr/bin/cri-dockerd --container-runtime-endpoint fd:// --pod-infra-container-image=registry.aliyuncs.com/google_containers/pause:3.9重新加载服务：sudo systemctl daemon-reload
启动cri-docker服务：sudo systemctl start cri-docker
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kubeadm初始化
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sudo kubeadm init --kubernetes-version=v1.28.2 --apiserver-advertise-address=0.0.0.0 --image-repository registry.aliyuncs.com/google_containers --ignore-preflight-errors=Swap --pod-network-cidr=10.24.0.0/16 --cri-socket unix:///var/run/cri-dockerd.sock -
出错使用下述进行debug
sudo journalctl -xeu kubelet -
init成功后，提示如下，表示成功了：
Your Kubernetes control-plane has initialized successfully!To start using your cluster, you need to run the following as a regular user:mkdir -p $HOME/.kubesudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/configsudo chown $(id -u):$(id -g) $HOME/.kube/configAlternatively, if you are the root user, you can run:export KUBECONFIG=/etc/kubernetes/admin.confYou should now deploy a pod network to the cluster. Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:https://kubernetes.io/docs/concepts/cluster-administration/addons/Then you can join any number of worker nodes by running the following on each as root:kubeadm join 10.181.8.94:6443 --token 0desqq.a4oq0rwqyursqah9 \--discovery-token-ca-cert-hash sha256:7e181cd0f0a435adf7746b17b09b10dba5c9d83936e92fffdc1e67cbf4a9cc06配置登录选项
mkdir -p $HOME/.kube sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config sudo chown $(id -u):$(id -g) $HOME/.kube/config -
init成功后，检查kubectl
$ kubectl get pod -A
此时仍有两个没有打开
- 需要配置网络
创建文件flannel.yaml，内容如下，
---
kind: Namespace
apiVersion: v1
metadata:name: kube-flannellabels:k8s-app: flannelpod-security.kubernetes.io/enforce: privileged
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:labels:k8s-app: flannelname: flannel
rules:
- apiGroups:- ""resources:- podsverbs:- get
- apiGroups:- ""resources:- nodesverbs:- get- list- watch
- apiGroups:- ""resources:- nodes/statusverbs:- patch
- apiGroups:- networking.k8s.ioresources:- clustercidrsverbs:- list- watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:labels:k8s-app: flannelname: flannel
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: flannel
subjects:
- kind: ServiceAccountname: flannelnamespace: kube-flannel
---
apiVersion: v1
kind: ServiceAccount
metadata:labels:k8s-app: flannelname: flannelnamespace: kube-flannel
---
kind: ConfigMap
apiVersion: v1
metadata:name: kube-flannel-cfgnamespace: kube-flannellabels:tier: nodek8s-app: flannelapp: flannel
data:cni-conf.json: |{"name": "cbr0","cniVersion": "0.3.1","plugins": [{"type": "flannel","delegate": {"hairpinMode": true,"isDefaultGateway": true}},{"type": "portmap","capabilities": {"portMappings": true}}]}net-conf.json: |{"Network": "10.244.0.0/16","Backend": {"Type": "vxlan"}}
---
apiVersion: apps/v1
kind: DaemonSet
metadata:name: kube-flannel-dsnamespace: kube-flannellabels:tier: nodeapp: flannelk8s-app: flannel
spec:selector:matchLabels:app: flanneltemplate:metadata:labels:tier: nodeapp: flannelspec:affinity:nodeAffinity:requiredDuringSchedulingIgnoredDuringExecution:nodeSelectorTerms:- matchExpressions:- key: kubernetes.io/osoperator: Invalues:- linuxhostNetwork: truepriorityClassName: system-node-criticaltolerations:- operator: Existseffect: NoScheduleserviceAccountName: flannelinitContainers:- name: install-cni-pluginimage: rancher/mirrored-flannelcni-flannel-cni-plugin:v1.0.0#image: docker.io/rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.2command:- cpargs:- -f- /flannel- /opt/cni/bin/flannelvolumeMounts:- name: cni-pluginmountPath: /opt/cni/bin- name: install-cniimage: lizhenliang/flannel:v0.11.0-amd64#image: docker.io/rancher/mirrored-flannelcni-flannel:v0.21.5command:- cpargs:- -f- /etc/kube-flannel/cni-conf.json- /etc/cni/net.d/10-flannel.conflistvolumeMounts:- name: cnimountPath: /etc/cni/net.d- name: flannel-cfgmountPath: /etc/kube-flannel/containers:- name: kube-flannelimage: lizhenliang/flannel:v0.11.0-amd64#image: docker.io/rancher/mirrored-flannelcni-flannel:v0.21.5command:- /opt/bin/flanneldargs:- --ip-masq- --kube-subnet-mgrresources:requests:cpu: "100m"memory: "50Mi"securityContext:privileged: falsecapabilities:add: ["NET_ADMIN", "NET_RAW"]env:- name: POD_NAMEvalueFrom:fieldRef:fieldPath: metadata.name- name: POD_NAMESPACEvalueFrom:fieldRef:fieldPath: metadata.namespace- name: EVENT_QUEUE_DEPTHvalue: "5000"volumeMounts:- name: runmountPath: /run/flannel- name: flannel-cfgmountPath: /etc/kube-flannel/- name: xtables-lockmountPath: /run/xtables.lockvolumes:- name: runhostPath:path: /run/flannel- name: cni-pluginhostPath:path: /opt/cni/bin- name: cnihostPath:path: /etc/cni/net.d- name: flannel-cfgconfigMap:name: kube-flannel-cfg- name: xtables-lockhostPath:path: /run/xtables.locktype: FileOrCreate
创建完成后执行kubectl apply -f flannel.yaml，执行很快，但是需要等待一会才会启动，一会会出现
wzh@chen:~$ kubectl get pod -A
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-flannel kube-flannel-ds-xqpqb 1/1 Running 0 11h
kube-system coredns-7f6cbbb7b8-w5lp8 1/1 Running 0 12h
kube-system coredns-7f6cbbb7b8-xmps6 1/1 Running 0 12h
kube-system etcd-chen 1/1 Running 0 12h
kube-system kube-apiserver-chen 1/1 Running 0 12h
kube-system kube-controller-manager-chen 1/1 Running 0 12h
kube-system kube-proxy-c5tks 1/1 Running 0 12h
kube-system kube-scheduler-chen 1/1 Running 0 12h
wzh@chen:~$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
chen Ready control-plane,master 13h v1.28.2
现在master可以在去除所有污点后执行(“:…” -> “-” )，以下未去除污点操作，可以使用kubectl describe进行查看是否有污点：
$ kubectl taint nodes --all node-role.kubernetes.io/master-
$ kubectl taint nodes --all foo-
这篇关于kubeadm k8s 1.24之后版本安装，带cri-dockerd的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
