mirror of
https://github.com/yeasy/docker_practice.git
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[Kubernetes] kubeadm cri based containerd
Signed-off-by: Kang Huaishuai <khs1994@khs1994.com>
This commit is contained in:
Kang Huaishuai
parent
95aed0099e
commit
5caddf4413
@ -126,7 +126,7 @@
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* [基本概念](kubernetes/concepts.md)
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* [架构设计](kubernetes/design.md)
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* [部署 Kubernetes](kubernetes/setup/README.md)
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* [使用 kubeadm 部署 kubernetes](kubernetes/setup/kubeadm.md)
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* [使用 kubeadm 部署 kubernetes(CRI 使用 containerd)](kubernetes/setup/kubeadm.md)
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* [在 Docker Desktop 使用](kubernetes/setup/docker-desktop.md)
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* [一步步部署 kubernetes 集群](kubernetes/setup/systemd.md)
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* [部署 Dashboard](kubernetes/setup/dashboard.md)
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187
kubernetes/setup/kubeadm-docker.md
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187
kubernetes/setup/kubeadm-docker.md
Normal file
@ -0,0 +1,187 @@
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# 使用 kubeadm 部署 kubernetes(使用 Docker)
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`kubeadm` 提供了 `kubeadm init` 以及 `kubeadm join` 这两个命令作为快速创建 `kubernetes` 集群的最佳实践。
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## 安装 Docker
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参考 [安装 Docker](../../install) 一节安装 Docker。
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## 安装 **kubelet** **kubeadm** **kubectl**
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### Ubuntu/Debian
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```bash
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$ apt-get update && apt-get install -y apt-transport-https
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$ curl https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | apt-key add -
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$ cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list
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deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main
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EOF
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$ apt-get update
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$ apt-get install -y kubelet kubeadm kubectl
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```
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### CentOS/Fedora
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```bash
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$ cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
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[kubernetes]
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name=Kubernetes
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baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
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enabled=1
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gpgcheck=1
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repo_gpgcheck=1
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gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
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EOF
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$ sudo yum install -y kubelet kubeadm kubectl
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```
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## 修改内核的运行参数
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```bash
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$ cat <<EOF | sudo tee /etc/sysctl.d/99-kubernetes-cri.conf
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net.bridge.bridge-nf-call-iptables = 1
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net.ipv4.ip_forward = 1
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net.bridge.bridge-nf-call-ip6tables = 1
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EOF
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# 应用配置
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$ sysctl --system
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```
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## 配置 kubelet
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### 修改 `kubelet.service`
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`/etc/systemd/system/kubelet.service.d/10-proxy-ipvs.conf` 写入以下内容
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```bash
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# 启用 ipvs 相关内核模块
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[Service]
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ExecStartPre=-/sbin/modprobe ip_vs
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ExecStartPre=-/sbin/modprobe ip_vs_rr
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ExecStartPre=-/sbin/modprobe ip_vs_wrr
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ExecStartPre=-/sbin/modprobe ip_vs_sh
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```
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执行以下命令应用配置。
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```bash
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$ sudo systemctl daemon-reload
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```
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## 部署
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### master
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```bash
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$ sudo kubeadm init --image-repository registry.cn-hangzhou.aliyuncs.com/google_containers \
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--pod-network-cidr 10.244.0.0/16 \
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--v 5 \
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--ignore-preflight-errors=all
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```
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* `--pod-network-cidr 10.244.0.0/16` 参数与后续 CNI 插件有关，这里以 `flannel` 为例，若后续部署其他类型的网络插件请更改此参数。
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> 执行可能出现错误，例如缺少依赖包，根据提示安装即可。
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执行成功会输出
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```bash
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...
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[addons] Applied essential addon: CoreDNS
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I1116 12:35:13.270407 86677 request.go:538] Throttling request took 181.409184ms, request: POST:https://192.168.199.100:6443/api/v1/namespaces/kube-system/serviceaccounts
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I1116 12:35:13.470292 86677 request.go:538] Throttling request took 186.088112ms, request: POST:https://192.168.199.100:6443/api/v1/namespaces/kube-system/configmaps
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[addons] Applied essential addon: kube-proxy
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Your Kubernetes control-plane has initialized successfully!
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To start using your cluster, you need to run the following as a regular user:
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mkdir -p $HOME/.kube
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sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
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sudo chown $(id -u):$(id -g) $HOME/.kube/config
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You should now deploy a pod network to the cluster.
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Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
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https://kubernetes.io/docs/concepts/cluster-administration/addons/
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Then you can join any number of worker nodes by running the following on each as root:
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kubeadm join 192.168.199.100:6443 --token cz81zt.orsy9gm9v649e5lf \
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--discovery-token-ca-cert-hash sha256:5edb316fd0d8ea2792cba15cdf1c899a366f147aa03cba52d4e5c5884ad836fe
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```
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### node 工作节点
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在 **另一主机** 重复 **部署** 小节以前的步骤，安装配置好 kubelet。根据提示，加入到集群。
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```bash
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$ kubeadm join 192.168.199.100:6443 --token cz81zt.orsy9gm9v649e5lf \
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--discovery-token-ca-cert-hash sha256:5edb316fd0d8ea2792cba15cdf1c899a366f147aa03cba52d4e5c5884ad836fe
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```
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## 查看服务
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所有服务启动后，查看本地实际运行的 Docker 容器。这些服务大概分为三类：主节点服务、工作节点服务和其它服务。
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### 主节点服务
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* `apiserver` 是整个系统的对外接口，提供 RESTful 方式供客户端和其它组件调用；
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* `scheduler` 负责对资源进行调度，分配某个 pod 到某个节点上；
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* `controller-manager` 负责管理控制器，包括 endpoint-controller（刷新服务和 pod 的关联信息）和 replication-controller（维护某个 pod 的复制为配置的数值）。
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### 工作节点服务
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* `proxy` 为 pod 上的服务提供访问的代理。
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### 其它服务
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* Etcd 是所有状态的存储数据库；
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## 使用
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将 `/etc/kubernetes/admin.conf` 复制到 `~/.kube/config`
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执行 `$ kubectl get all -A` 查看启动的服务。
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由于未部署 CNI 插件，CoreDNS 未正常启动。如何使用 Kubernetes，请参考后续章节。
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## 部署 CNI
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这里以 `flannel` 为例进行介绍。
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### flannel
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检查 podCIDR 设置
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```bash
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$ kubectl get node -o yaml | grep CIDR
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# 输出
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podCIDR: 10.244.0.0/16
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podCIDRs:
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```
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```bash
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$ kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/v0.11.0/Documentation/kube-flannel.yml
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```
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## master 节点默认不能运行 pod
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如果用 `kubeadm` 部署一个单节点集群，默认情况下无法使用，请执行以下命令解除限制
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```bash
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$ kubectl taint nodes --all node-role.kubernetes.io/master-
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# 恢复默认值
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# $ kubectl taint nodes NODE_NAME node-role.kubernetes.io/master=true:NoSchedule
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```
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## 参考文档
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* [官方文档](https://kubernetes.io/zh/docs/setup/production-environment/tools/kubeadm/install-kubeadm/)
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@ -1,12 +1,205 @@
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# 使用 kubeadm 部署 kubernetes
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# 使用 kubeadm 部署 kubernetes(CRI 使用 containerd)
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`kubeadm` 提供了 `kubeadm init` 以及 `kubeadm join` 这两个命令作为快速创建 `kubernetes` 集群的最佳实践。
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## 安装 Docker
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## 安装 containerd
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参考 [安装 Docker](../../install) 一节安装 Docker。
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参考 [安装 Docker](../../install) 一节添加 apt/yum 源，之后执行如下命令。
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## 安装 **kubelet** **kubeadm** **kubectl**
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```bash
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# debian 系
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$ sudo apt install containerd.io
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# rhel 系
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$ sudo yum install containerd.io
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```
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## 配置 containerd
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新建 `/etc/systemd/system/cri-containerd.service` 文件
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```
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[Unit]
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Description=containerd container runtime for kubernetes
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Documentation=https://containerd.io
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After=network.target local-fs.target
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[Service]
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ExecStartPre=-/sbin/modprobe overlay
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ExecStart=/usr/bin/containerd --config //etc/cri-containerd/config.toml
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Type=notify
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Delegate=yes
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KillMode=process
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Restart=always
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RestartSec=5
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# Having non-zero Limit*s causes performance problems due to accounting overhead
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# in the kernel. We recommend using cgroups to do container-local accounting.
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LimitNPROC=infinity
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LimitCORE=infinity
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LimitNOFILE=infinity
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# Comment TasksMax if your systemd version does not supports it.
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# Only systemd 226 and above support this version.
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TasksMax=infinity
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OOMScoreAdjust=-999
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[Install]
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WantedBy=multi-user.target
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```
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新建 `/etc/cri-containerd/config.toml` containerd 配置文件
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```toml
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version = 2
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# persistent data location
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root = "/var/lib/cri-containerd"
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# runtime state information
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state = "/run/cri-containerd"
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plugin_dir = ""
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disabled_plugins = []
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required_plugins = []
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# set containerd's OOM score
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oom_score = 0
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[grpc]
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address = "/run/cri-containerd/cri-containerd.sock"
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tcp_address = ""
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tcp_tls_cert = ""
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tcp_tls_key = ""
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# socket uid
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uid = 0
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# socket gid
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gid = 0
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max_recv_message_size = 16777216
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max_send_message_size = 16777216
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[debug]
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address = ""
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format = "json"
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uid = 0
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gid = 0
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level = ""
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[metrics]
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address = "127.0.0.1:1338"
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grpc_histogram = false
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[cgroup]
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path = ""
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[timeouts]
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"io.containerd.timeout.shim.cleanup" = "5s"
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"io.containerd.timeout.shim.load" = "5s"
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"io.containerd.timeout.shim.shutdown" = "3s"
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"io.containerd.timeout.task.state" = "2s"
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[plugins]
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[plugins."io.containerd.gc.v1.scheduler"]
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pause_threshold = 0.02
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deletion_threshold = 0
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mutation_threshold = 100
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schedule_delay = "0s"
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startup_delay = "100ms"
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[plugins."io.containerd.grpc.v1.cri"]
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disable_tcp_service = true
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stream_server_address = "127.0.0.1"
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stream_server_port = "0"
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stream_idle_timeout = "4h0m0s"
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enable_selinux = false
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selinux_category_range = 1024
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sandbox_image = "registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.5"
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stats_collect_period = 10
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# systemd_cgroup = false
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enable_tls_streaming = false
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max_container_log_line_size = 16384
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disable_cgroup = false
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disable_apparmor = false
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restrict_oom_score_adj = false
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max_concurrent_downloads = 3
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disable_proc_mount = false
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unset_seccomp_profile = ""
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tolerate_missing_hugetlb_controller = true
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disable_hugetlb_controller = true
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ignore_image_defined_volumes = false
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[plugins."io.containerd.grpc.v1.cri".containerd]
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snapshotter = "overlayfs"
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default_runtime_name = "runc"
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no_pivot = false
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disable_snapshot_annotations = false
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discard_unpacked_layers = false
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[plugins."io.containerd.grpc.v1.cri".containerd.runtimes]
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[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc]
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runtime_type = "io.containerd.runc.v2"
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pod_annotations = []
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container_annotations = []
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privileged_without_host_devices = false
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base_runtime_spec = ""
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[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc.options]
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# SystemdCgroup enables systemd cgroups.
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SystemdCgroup = true
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# BinaryName is the binary name of the runc binary.
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# BinaryName = "runc"
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# BinaryName = "crun"
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# NoPivotRoot disables pivot root when creating a container.
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# NoPivotRoot = false
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# NoNewKeyring disables new keyring for the container.
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# NoNewKeyring = false
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# ShimCgroup places the shim in a cgroup.
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# ShimCgroup = ""
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# IoUid sets the I/O's pipes uid.
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# IoUid = 0
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# IoGid sets the I/O's pipes gid.
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# IoGid = 0
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# Root is the runc root directory.
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Root = ""
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# CriuPath is the criu binary path.
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# CriuPath = ""
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# CriuImagePath is the criu image path
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# CriuImagePath = ""
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# CriuWorkPath is the criu work path.
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# CriuWorkPath = ""
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[plugins."io.containerd.grpc.v1.cri".cni]
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bin_dir = "/opt/cni/bin"
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conf_dir = "/etc/cni/net.d"
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max_conf_num = 1
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conf_template = ""
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[plugins."io.containerd.grpc.v1.cri".registry]
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config_path = "/etc/cri-containerd/certs.d"
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[plugins."io.containerd.grpc.v1.cri".registry.headers]
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# Foo = ["bar"]
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[plugins."io.containerd.grpc.v1.cri".image_decryption]
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key_model = ""
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[plugins."io.containerd.grpc.v1.cri".x509_key_pair_streaming]
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tls_cert_file = ""
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tls_key_file = ""
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[plugins."io.containerd.internal.v1.opt"]
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path = "/opt/cri-containerd"
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[plugins."io.containerd.internal.v1.restart"]
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interval = "10s"
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[plugins."io.containerd.metadata.v1.bolt"]
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content_sharing_policy = "shared"
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[plugins."io.containerd.monitor.v1.cgroups"]
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no_prometheus = false
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[plugins."io.containerd.runtime.v2.task"]
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platforms = ["linux/amd64"]
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[plugins."io.containerd.service.v1.diff-service"]
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default = ["walking"]
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[plugins."io.containerd.snapshotter.v1.devmapper"]
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root_path = ""
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pool_name = ""
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base_image_size = ""
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async_remove = false
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```
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|
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## 安装 **kubelet** **kubeadm** **kubectl** **cri-tools** **kubernetes-cni**
|
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|
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### Ubuntu/Debian
|
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|
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@ -77,8 +270,14 @@ $ sudo systemctl daemon-reload
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### master
|
||||
|
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```bash
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$ sudo kubeadm init --image-repository registry.cn-hangzhou.aliyuncs.com/google_containers \
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$ systemctl enable cri-containerd
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$ systemctl start cri-containerd
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$ sudo kubeadm init \
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--image-repository registry.cn-hangzhou.aliyuncs.com/google_containers \
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--pod-network-cidr 10.244.0.0/16 \
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--cri-socket /run/cri-containerd/cri-containerd.sock \
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--v 5 \
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--ignore-preflight-errors=all
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```
|
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@ -119,13 +318,23 @@ kubeadm join 192.168.199.100:6443 --token cz81zt.orsy9gm9v649e5lf \
|
||||
在 **另一主机** 重复 **部署** 小节以前的步骤，安装配置好 kubelet。根据提示，加入到集群。
|
||||
|
||||
```bash
|
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$ kubeadm join 192.168.199.100:6443 --token cz81zt.orsy9gm9v649e5lf \
|
||||
--discovery-token-ca-cert-hash sha256:5edb316fd0d8ea2792cba15cdf1c899a366f147aa03cba52d4e5c5884ad836fe
|
||||
$ systemctl enable cri-containerd
|
||||
|
||||
$ systemctl start cri-containerd
|
||||
|
||||
$ kubeadm join 192.168.199.100:6443 \
|
||||
--token cz81zt.orsy9gm9v649e5lf \
|
||||
--discovery-token-ca-cert-hash sha256:5edb316fd0d8ea2792cba15cdf1c899a366f147aa03cba52d4e5c5884ad836fe \
|
||||
--cri-socket /run/cri-containerd/cri-containerd.sock
|
||||
```
|
||||
|
||||
## 查看服务
|
||||
|
||||
所有服务启动后，查看本地实际运行的 Docker 容器。这些服务大概分为三类：主节点服务、工作节点服务和其它服务。
|
||||
所有服务启动后，通过 `crictl` 查看本地实际运行的容器。这些服务大概分为三类：主节点服务、工作节点服务和其它服务。
|
||||
|
||||
```bash
|
||||
CONTAINER_RUNTIME_ENDPOINT=/run/cri-containerd/cri-containerd.sock crictl ps -a
|
||||
```
|
||||
|
||||
### 主节点服务
|
||||
|
||||
@ -185,3 +394,4 @@ $ kubectl taint nodes --all node-role.kubernetes.io/master-
|
||||
## 参考文档
|
||||
|
||||
* [官方文档](https://kubernetes.io/zh/docs/setup/production-environment/tools/kubeadm/install-kubeadm/)
|
||||
* [Container runtimes](https://kubernetes.io/docs/setup/production-environment/container-runtimes/#containerd)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user