Kind创建k8s集群
在上一篇文件中，介绍的是使用三台虚拟机来实现k8s集群的搭建，但是弊端也是有的，就是对资源要求较高，不适合学习环境，而kind是k8s官网提供给学习者用来创建k8s的一种方式，适用于学习环境下，资源不充足的情况。实测使用kind在2H4G的服务器中，完全可以支撑三节点的k8s集群搭建。
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Kind创建k8s集群
零、前言
k8s官网
kind官网
在上一篇文件中，介绍的是使用三台虚拟机来实现k8s集群的搭建，但是弊端也是有的，就是对资源要求较高，不适合学习环境，而kind是k8s官网提供给学习者用来创建k8s的一种方式，适用于学习环境下，资源不充足的情况。实测使用kind在2H4G的服务器中，完全可以支撑三节点的k8s集群搭建。
- 因为在前期，下载kind和kubectl可能会需要科学上网的情况，所以我会将kind和kubectl，放在网盘链接中，方便无法科学上网的读者下载，希望读者大大多多关注！！！
一、硬件要求
- Linux：Ubuntu、Centos或者其他镜像都可以
- 内存：官方并没有详细要求，我这里用的是4核5G内存
- 前提条件：Linux上必须有
Docker
二、Docker安装
在线安装docker环境
curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun
systemctl enable docker
#启动Docker服务：
systemctl start docker
#检查是否安装成功：
docker version
配置docker镜像源
mkdir -p /etc/docker
tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": [
"https://ustc-edu-cn.mirror.aliyuncs.com/",
"https://ccr.ccs.tencentyun.com/",
"https://docker.m.daocloud.io/",
]
}
EOF
镜像源亲测可用！！！
三、Kind安装
进入到Kind的官网，就可以找到安装教程，有Linux、macOS、Windows
On Linux：
# For AMD64 / x86_64
# 下载速度非常慢，而且很有可能下载不下来，记得科学上网
curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.17.0/kind-linux-amd64
// 将下载下来的二进制文件给予执行权限
chmod +x ./kind
// 这是为了让我们使用kind的时候前面不用加 ./
sudo mv ./kind /usr/local/bin/kind
四、kubectl安装
下载完kind，我们需要下载k8s的命令操作工具，在k8s官网就可以找到该工具的下载方式
// 非常慢，很有可能失败，科学上网可以解决
curl -LO https://dl.k8s.io/release/v1.24.0/bin/linux/amd64/kubectl
// 将下载下来的二进制文件给予执行权限
chmod +x ./kubectl
// 这是为了让我们使用kubectl的时候前面不用加 ./
sudo mv ./kubectl /usr/local/bin/kubectl
这样我们的准备工作就做好了
五、kind创建集群
创建单体k8s
kind create cluster --image=指定镜像 --name=指定名称
如果在第一步拉取镜像失败了，那就是设置的国内镜像源没有该镜像，请换一个试试，或者直接在Dockerhub使用科学上网拉取
创建集群
kind创建集群，官网给我们的方式是使用yaml文件进行一键创建
-
创建
kind-cluster-config.yamlkind: Cluster apiVersion: kind.x-k8s.io/v1alpha4 containerdConfigPatches: - |- [plugins."io.containerd.grpc.v1.cri".registry.mirrors."docker.io"] endpoint = ["https://ustc-edu-cn.mirror.aliyuncs.com", "https://ccr.ccs.tencentyun.com", "https://docker.m.daocloud.io"] nodes: - role: control-plane extraPortMappings: - containerPort: 30080 hostPort: 30080 protocol: TCP - containerPort: 30081 hostPort: 30081 protocol: TCP - containerPort: 30082 hostPort: 30082 protocol: TCP - containerPort: 30083 hostPort: 30083 protocol: TCP - containerPort: 30084 hostPort: 30084 protocol: TCP - containerPort: 30085 hostPort: 30085 protocol: TCP - containerPort: 31272 hostPort: 31272 protocol: TCP - role: worker - role: worker这里必须解释一下，我为什么要放开30080，30081，30082，30083，30084，30085，31272这几个端口，因为kind的本质是使用docker容器来实现的节点构建，所以如果你在创建kind的时候，如果不提前放开几个端口的话，后续启动的服务是无法实现外部访问的，这几个端口就是我为了方便设置的，你们也可以自己设置，但是开放端口的范围必须在30000-32767之间。
-
kind创建
kind create cluster --image=registry.cn-hangzhou.aliyuncs.com/morris-share/kindest-node:v1.25.3 --name=my-cluster --config kind-cluster-config.yaml -
使用
kubectl命令进入到我们的集群并且初始化kubectl cluster-info --context kind-my-cluster -
使用命令查看集群
kubectl get nodes // 出现以下情况就是创建成功 NAME STATUS ROLES AGE VERSION my-cluster-control-plane Ready control-plane 10h v1.25.3 my-cluster-worker Ready <none> 10h v1.25.3 my-cluster-worker2 Ready <none> 10h v1.25.3 -
containerd配置文件,修改：/etc/containerd/config.toml，其实这一步设置与否都无伤大雅，可以忽略
disabled_plugins = [] imports = [] oom_score = 0 plugin_dir = "" required_plugins = [] root = "/var/lib/containerd" state = "/run/containerd" version = 2 [cgroup] path = "" [debug] address = "" format = "" gid = 0 level = "" uid = 0 [grpc] address = "/run/containerd/containerd.sock" gid = 0 max_recv_message_size = 16777216 max_send_message_size = 16777216 tcp_address = "" tcp_tls_cert = "" tcp_tls_key = "" uid = 0 [metrics] address = "" grpc_histogram = false [plugins] [plugins."io.containerd.gc.v1.scheduler"] deletion_threshold = 0 mutation_threshold = 100 pause_threshold = 0.02 schedule_delay = "0s" startup_delay = "100ms" [plugins."io.containerd.grpc.v1.cri"] disable_apparmor = false disable_cgroup = false disable_hugetlb_controller = true disable_proc_mount = false disable_tcp_service = true enable_selinux = false enable_tls_streaming = false ignore_image_defined_volumes = false max_concurrent_downloads = 3 max_container_log_line_size = 16384 netns_mounts_under_state_dir = false restrict_oom_score_adj = false sandbox_image = "registry.k8s.io/pause:3.5" selinux_category_range = 1024 stats_collect_period = 10 stream_idle_timeout = "4h0m0s" stream_server_address = "127.0.0.1" stream_server_port = "0" systemd_cgroup = false tolerate_missing_hugetlb_controller = true unset_seccomp_profile = "" [plugins."io.containerd.grpc.v1.cri".cni] bin_dir = "/opt/cni/bin" conf_dir = "/etc/cni/net.d" conf_template = "" max_conf_num = 1 [plugins."io.containerd.grpc.v1.cri".containerd] default_runtime_name = "runc" disable_snapshot_annotations = true discard_unpacked_layers = false no_pivot = false snapshotter = "overlayfs" [plugins."io.containerd.grpc.v1.cri".containerd.default_runtime] base_runtime_spec = "" container_annotations = [] pod_annotations = [] privileged_without_host_devices = false runtime_engine = "" runtime_root = "" runtime_type = "" [plugins."io.containerd.grpc.v1.cri".containerd.default_runtime.options] [plugins."io.containerd.grpc.v1.cri".containerd.runtimes] [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc] base_runtime_spec = "" container_annotations = [] pod_annotations = [] privileged_without_host_devices = false runtime_engine = "" runtime_root = "" runtime_type = "io.containerd.runc.v2" [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc.options] BinaryName = "" CriuImagePath = "" CriuPath = "" CriuWorkPath = "" IoGid = 0 IoUid = 0 NoNewKeyring = false NoPivotRoot = false Root = "" ShimCgroup = "" SystemdCgroup = true [plugins."io.containerd.grpc.v1.cri".containerd.untrusted_workload_runtime] base_runtime_spec = "" container_annotations = [] pod_annotations = [] privileged_without_host_devices = false runtime_engine = "" runtime_root = "" runtime_type = "" [plugins."io.containerd.grpc.v1.cri".containerd.untrusted_workload_runtime.options] [plugins."io.containerd.grpc.v1.cri".image_decryption] key_model = "node" [plugins."io.containerd.grpc.v1.cri".registry] config_path = "" [plugins."io.containerd.grpc.v1.cri".registry.auths] [plugins."io.containerd.grpc.v1.cri".registry.configs] [plugins."io.containerd.grpc.v1.cri".registry.configs."registry.killer.sh:5000".tls] insecure_skip_verify = true [plugins."io.containerd.grpc.v1.cri".registry.headers] [plugins."io.containerd.grpc.v1.cri".registry.mirrors] [plugins."io.containerd.grpc.v1.cri".registry.mirrors."docker.io"] endpoint = ["https://ustc-edu-cn.mirror.aliyuncs.com/","https://ccr.ccs.tencentyun.com/","https://docker.m.daocloud.io/","https://mirror.gcr.io", "https://docker-mirror.killercoda.com", "https://docker-mirror.killer.sh", "https://registry-1.docker.io"] [plugins."io.containerd.grpc.v1.cri".x509_key_pair_streaming] tls_cert_file = "" tls_key_file = "" [plugins."io.containerd.internal.v1.opt"] path = "/opt/containerd" [plugins."io.containerd.internal.v1.restart"] interval = "10s" [plugins."io.containerd.metadata.v1.bolt"] content_sharing_policy = "shared" [plugins."io.containerd.monitor.v1.cgroups"] no_prometheus = false [plugins."io.containerd.runtime.v1.linux"] no_shim = false runtime = "runc" runtime_root = "" shim = "containerd-shim" shim_debug = false [plugins."io.containerd.runtime.v2.task"] platforms = ["linux/amd64"] [plugins."io.containerd.service.v1.diff-service"] default = ["walking"] [plugins."io.containerd.snapshotter.v1.aufs"] root_path = "" [plugins."io.containerd.snapshotter.v1.btrfs"] root_path = "" [plugins."io.containerd.snapshotter.v1.devmapper"] async_remove = false base_image_size = "" pool_name = "" root_path = "" [plugins."io.containerd.snapshotter.v1.native"] root_path = "" [plugins."io.containerd.snapshotter.v1.overlayfs"] root_path = "" [plugins."io.containerd.snapshotter.v1.zfs"] root_path = "" [proxy_plugins] [stream_processors] [stream_processors."io.containerd.ocicrypt.decoder.v1.tar"] accepts = ["application/vnd.oci.image.layer.v1.tar+encrypted"] args = ["--decryption-keys-path", "/etc/containerd/ocicrypt/keys"] env = ["OCICRYPT_KEYPROVIDER_CONFIG=/etc/containerd/ocicrypt/ocicrypt_keyprovider.conf"] path = "ctd-decoder" returns = "application/vnd.oci.image.layer.v1.tar" [stream_processors."io.containerd.ocicrypt.decoder.v1.tar.gzip"] accepts = ["application/vnd.oci.image.layer.v1.tar+gzip+encrypted"] args = ["--decryption-keys-path", "/etc/containerd/ocicrypt/keys"] env = ["OCICRYPT_KEYPROVIDER_CONFIG=/etc/containerd/ocicrypt/ocicrypt_keyprovider.conf"] path = "ctd-decoder" returns = "application/vnd.oci.image.layer.v1.tar+gzip" [timeouts] "io.containerd.timeout.shim.cleanup" = "5s" "io.containerd.timeout.shim.load" = "5s" "io.containerd.timeout.shim.shutdown" = "3s" "io.containerd.timeout.task.state" = "2s" [ttrpc] address = "" gid = 0 uid = 0
六、测试
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创建一个
nginx-deployment.yaml文件apiVersion: apps/v1 kind: Deployment metadata: name: nginx-deploy spec: replicas: 2 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx:1.22 ports: - containerPort: 80 --- apiVersion: v1 kind: Service metadata: name: nginx-nodeport spec: type: NodePort selector: app: nginx ports: - protocol: TCP port: 80 targetPort: 80 nodePort: 30080 # 可以指定一个端口号，如果不指定，会自动分配一个 -
开始创建
kubectl apply -f nginx-deploy.yaml -
查看创建结果
kubectl get pod kubectl get deploy
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