Kubernetes 설치를 해보자 한다.
Master Node & Worker Node 각 1대씩 구성을 하고자 한다.
물리적으로 분리된 BareMetal 구성을 하려고 했지만,
자유로운 설정을 통해 학습해보기 위해서 VirtualBox로 우선 진행해 보았다.
정말 훌륭한 레퍼런스는 아래 링크와 같다 !!!
- https://medium.com/finda-tech/overview-8d169b2a54ff
1. Master & Worker Node H/W
- Prerequisite
구분 | CPU | Memory | Storage |
Master | 2 core | 3 GB | 30 GB |
Worker | 2 core | 2 GB | 30 GB |
- VirtualBox
구분 | CPU | Memory | Storage |
Master | 2 core | 4 GB | 50 GB |
Worker | 2 core | 4 GB | 50 GB |
. 네트워크는 NAT가 아니라 Bridge로 잡아줬다. (공유기 환경)
2. Master & Worker Node S/W
- Ubuntu 20.04 LTS Server 설치를 하면서, 기본적인 환경 설치는 아래 링크와 동일하게 구성하였다.
. https://www.whatwant.com/entry/notebook-ubuntu-server
- Docker 까지는 미리 설치해두었다. 설치 방법은 아래 링크와 같이 진행하였다.
. https://www.whatwant.com/entry/Docker-Install-Ubuntu-Server-2004
. kubernetes validated versions이 따로 있으니 이것에 맞추는 것을 추천한다.
3. Swap off
- kubelet에서 swap을 지원하지 않기 때문에, Master/Worker 모두 swap 기능을 꺼야 한다.
$ sudo swapoff -a
- 영구적으로 기능을 끄기 위해서는 추가 작업도 해줘야 한다.
$ sudo nano /etc/fstab
- swap 부분을 찾아서 주석 처리 해주면 된다.
#/swap.img none swap sw 0 0
4. cgroup driver 설정
- 이미 설치된 docker에 대해서 cgroup driver를 변경해줘야 한다.
$ docker info
- 지금은 "cgroupfs"로 설정되어 있는 것을 볼 수 있다. "systemd"로 변경해보자.
$ sudo nano /etc/docker/daemon.json
{
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"storage-driver": "overlay2"
}
$ sudo mkdir -p /etc/systemd/system/docker.service.d
$ sudo systemctl daemon-reload
$ sudo systemctl restart docker
- "cgroup driver"가 잘 변경된 것을 볼 수 있다.
5. Kubernetes 기본 패키지 설치
- Master/Worker Node 모두 [ kubeadm, kubelet, kubectl ] 3개의 패키지가 설치되어야 한다.
. 부수적으로 [ kubernetes-cni, cri-tools ] 2개 패키지도 필요하다.
- 아래에서 최신 버전의 주소(파일명) 확인 (16.04 이후 버전 모두 동일)
. https://packages.cloud.google.com/apt/dists/kubernetes-xenial/main/binary-amd64/Packages
$ wget https://packages.cloud.google.com/apt/pool/cri-tools_1.13.0-01_amd64_4ff4588f5589826775f4a3bebd95aec5b9fb591ba8fb89a62845ffa8efe8cf22.deb
$ wget https://packages.cloud.google.com/apt/pool/kubeadm_1.20.1-00_amd64_7cd8d4021bb251862b755ed9c240091a532b89e6c796d58c3fdea7c9a72b878f.deb
$ wget https://packages.cloud.google.com/apt/pool/kubectl_1.20.1-00_amd64_b927311062e6a4610d9ac3bc8560457ab23fbd697a3052c394a1d7cc9e46a17d.deb
$ wget https://packages.cloud.google.com/apt/pool/kubelet_1.20.1-00_amd64_560a52294b8b339e0ca8ddbc480218e93ebb01daef0446887803815bcd0c41eb.deb
$ wget https://packages.cloud.google.com/apt/pool/kubernetes-cni_0.8.7-00_amd64_ca2303ea0eecadf379c65bad855f9ad7c95c16502c0e7b3d50edcb53403c500f.deb
- 설치도 진행하자
$ sudo apt-get install socat conntrack ebtables
$ sudo dpkg --install ./kubernetes-cni_0.8.7-00_amd64_ca2303ea0eecadf379c65bad855f9ad7c95c16502c0e7b3d50edcb53403c500f.deb
$ sudo dpkg --install ./kubelet_1.20.1-00_amd64_560a52294b8b339e0ca8ddbc480218e93ebb01daef0446887803815bcd0c41eb.deb
$ sudo dpkg --install ./cri-tools_1.13.0-01_amd64_4ff4588f5589826775f4a3bebd95aec5b9fb591ba8fb89a62845ffa8efe8cf22.deb
$ sudo dpkg --install ./kubectl_1.20.1-00_amd64_b927311062e6a4610d9ac3bc8560457ab23fbd697a3052c394a1d7cc9e46a17d.deb
$ sudo dpkg --install ./kubeadm_1.20.1-00_amd64_7cd8d4021bb251862b755ed9c240091a532b89e6c796d58c3fdea7c9a72b878f.deb
6. Master Node 셋업
- kubeadm을 이용하여 Master Node 셋업을 진행하자.
- Master Node의 IP를 확인하자
$ ifconfig
- 이제 셋업 시작~!! (뒤의 IP는 방금 확인한 IP로 교체!!)
$ sudo kubeadm init --pod-network-cidr=10.244.0.0/16 --apiserver-advertise-address=192.168.100.119
❯ sudo kubeadm init --pod-network-cidr=10.244.0.0/16 --apiserver-advertise-address=192.168.100.119
[init] Using Kubernetes version: v1.20.1
[preflight] Running pre-flight checks
[WARNING SystemVerification]: this Docker version is not on the list of validated versions: 20.10.1. Latest validated version: 19.03
[preflight] Pulling images required for setting up a Kubernetes cluster
[preflight] This might take a minute or two, depending on the speed of your internet connection
[preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local master-stg] and IPs [10.96.0.1 192.168.100.119]
[certs] Generating "apiserver-kubelet-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-client" certificate and key
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [localhost master-stg] and IPs [192.168.100.119 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [localhost master-stg] and IPs [192.168.100.119 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "sa" key and public key
[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Starting the kubelet
[control-plane] Using manifest folder "/etc/kubernetes/manifests"
[control-plane] Creating static Pod manifest for "kube-apiserver"
[control-plane] Creating static Pod manifest for "kube-controller-manager"
[control-plane] Creating static Pod manifest for "kube-scheduler"
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
[apiclient] All control plane components are healthy after 13.002889 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.20" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node master-stg as control-plane by adding the labels "node-role.kubernetes.io/master=''" and "node-role.kubernetes.io/control-plane='' (deprecated)"
[mark-control-plane] Marking the node master-stg as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: t4tcwj.22xh9lzstu56qyrb
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to get nodes
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstrap-token] configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxy
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/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
Alternatively, if you are the root user, you can run:
export KUBECONFIG=/etc/kubernetes/admin.conf
You 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 192.168.100.119:6443 --token t4tcwj.22xh9lzstu56qyrb \
--discovery-token-ca-cert-hash sha256:eb3765b58c9140c9a89daf7ea21444ca44a142939ebb93aedad1ebc03202a1d7
- 사용자 계정에서 kubectl 실행을 위해 위의 가이드 내용 그대로 진행을 해보자.
$ mkdir -p $HOME/.kube
$ sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
$ sudo chown $(id -u):$(id -g) $HOME/.kube/config
- 잘 설치가 된 것을 확인해보자.
$ kubectl get pods --all-namespaces
$ kubectl get nodes
- Pod Network 환경을 맞춰야 하는데, k8s 를 위한 layer 3 환경을 구축해주는 flannel을 사용해보겠다.
. https://github.com/coreos/flannel/
$ kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
- coredns가 pending에서 running으로 바뀌었고, flannel이 추가 되었고, Master Node가 Ready 상태가 된 것을 볼 수 있다.
$ sudo kubeadm join 192.168.100.119:6443 --token t4tcwj.22xh9lzstu56qyrb \--discovery-token-ca-cert-hash sha256:eb3765b58c9140c9a89daf7ea21444ca44a142939ebb93aedad1ebc03202a1d7
❯ sudo kubeadm join 192.168.100.119:6443 --token t4tcwj.22xh9lzstu56qyrb \--discovery-token-ca-cert-hash sha256:eb3765b58c9140c9a89daf7ea21444ca44a142939ebb93aedad1ebc03202a1d7[preflight] Running pre-flight checks[WARNING SystemVerification]: this Docker version is not on the list of validated versions: 20.10.1. Latest validated version: 19.03[preflight] Reading configuration from the cluster...[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml'[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"[kubelet-start] Starting the kubelet[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...This node has joined the cluster:* Certificate signing request was sent to apiserver and a response was received.* The Kubelet was informed of the new secure connection details.Run 'kubectl get nodes' on the control-plane to see this node join the cluster.
$ kubectl get nodes
$ kubectl create deployment kubernetes-bootcamp --image=gcr.io/google-samples/kubernetes-bootcamp:v1
$ kubectl get deployments$ kubectl get pods -o wide
- Worker Node에서 해당 서비스가 잘 되는지 확인해보자.
$ curl http://10.244.1.2:8080
여기까지~
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