安装Docker
sudo yum remove docker*
sudo yum install -y yum-utils
#配置docker的yum地址
sudo yum-config-manager \
--add-repo \
http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
# 安装依赖
yum install ipset socat chrony -y
#ceph client ceph支持动态扩容，nfs不再支持
yum -y install ceph-common
# 低版的centos可以升级一下kernel
yum update kernel
#安装指定版本
sudo yum install -y docker-ce-20.10.14 docker-ce-cli-20.10.14 containerd.io-1.5.11
# 启动&开机启动docker
systemctl enable docker --now
# docker加速配置
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": ["https://xet0ja6w.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
安装Kubernetes
- 基本环境
每个机器使用内网ip互通
每个机器配置自己的hostname，不能用localhost
#设置每个机器自己的hostname(三台主机)
hostnamectl set-hostname k8s-master-001
hostnamectl set-hostname k8s-node-001
hostnamectl set-hostname k8s-node-002
# 将 SELinux 设置为 permissive 模式（相当于将其禁用）
sudo setenforce 0
sudo sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config
#关闭swap
swapoff -a
sed -ri 's/.*swap.*/#&/' /etc/fstab
#允许 iptables 检查桥接流量
cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
br_netfilter
EOF
cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sudo sysctl --system
- 安装kubelet、kubeadm、kubectl
#配置k8s的yum源地址
cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg
http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
#安装 kubelet，kubeadm，kubectl
sudo yum install -y kubelet-1.20.9 kubeadm-1.20.9 kubectl-1.20.9
#启动kubelet
sudo systemctl enable --now kubelet
# 使用kubeadm引导集群下载镜像
sudo tee ./images.sh <<-'EOF'
#!/bin/bash
images=(
kube-apiserver:v1.20.9
kube-proxy:v1.20.9
kube-controller-manager:v1.20.9
kube-scheduler:v1.20.9
coredns:1.7.0
etcd:3.4.13-0
pause:3.2
)
for imageName in ${images[@]} ; do
docker pull registry.cn-guangzhou.aliyuncs.com/leoiceo_k8s_images/$imageName
done
EOF
chmod +x ./images.sh && ./images.sh
#所有机器配置master域名
echo "10.3.100.66 k8s-master-001" >> /etc/hosts
kubeadm init \
--apiserver-advertise-address=10.3.100.66 \
--control-plane-endpoint=k8s-master-001 \
--image-repository registry.cn-guangzhou.aliyuncs.com/leoiceo_k8s_images \
--kubernetes-version v1.20.9 \
--service-cidr=10.96.0.0/16 \
--pod-network-cidr=192.168.88.0/16
###出现如下提示
Your Kubernetes control-plane has initialized successfully!
#要开始使用您的集群，您以普通用户身份需要运行以下命令：(设置.kube/config)
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
#或者，如果您是 root 用户，您可以运行：
export KUBECONFIG=/etc/kubernetes/admin.conf
您现在应该将 pod 网络部署到集群。
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
https://kubernetes.io/docs/concepts/cluster-administration/addons/
# 可以通过以下命令增加master节点 （24小时内有效）
kubeadm join k8s-master-001:6443 --token 7fp3hw.ut74cse9vp33o75j \
--discovery-token-ca-cert-hash sha256:008de1606eccddaded0b138223471b933076397861f1f2e4b7ad62074d7078f5 \
--control-plane
# 可以通过以下命令增加node节点,在k8s-node-001和k8s-node-002中执行 （24小时内有效）
kubeadm join k8s-master-001:6443 --token 7fp3hw.ut74cse9vp33o75j \
--discovery-token-ca-cert-hash sha256:008de1606eccddaded0b138223471b933076397861f1f2e4b7ad62074d7078f5
# 过期后可以创建新令牌，在master节点运行
kubeadm token create --print-join-command
kubeadm join cluster-endpoint:6443 --token cx4xmx.rngwmypbh6yg7w5d --discovery-token-ca-cert-hash sha256:c058080c1322afab578dc6804507cefed3bbd99c7104366458496f588a9a9048
curl https://docs.projectcalico.org/manifests/calico.yaml -O
# 由于本机使用了 192.168.0.0 所以修改网段 192.168.88.0/16，修改calico.yaml 如下两行
- name: CALICO_IPV4POOL_CIDR
value: "192.168.88.0/16"
kubectl apply -f calico.yaml
kubeadm join cluster-endpoint:6443 --token skud4g.314dud5shes5ed8j \
--discovery-token-ca-cert-hash sha256:c058080c1322afab578dc6804507cefed3bbd99c7104366458496f588a9a9048
安装KubeSphere前置环境
# 在每个机器。
yum install -y nfs-utils
# 在master 执行以下命令
echo "/nfs/data/ *(insecure,rw,sync,no_root_squash)" > /etc/exports
# 执行以下命令，启动 nfs 服务;创建共享目录
mkdir -p /nfs/data
# 在master执行
systemctl enable rpcbind
systemctl enable nfs-server
systemctl start rpcbind
systemctl start nfs-server
# 使配置生效
exportfs -r
#检查配置是否生效
exportfs
showmount -e 10.3.100.66
mkdir -p /nfs/data
mount -t nfs 10.3.100.66:/nfs/data /nfs/data
# 开机自动挂载
echo "10.3.100.66:/nfs/data /nfs/data nfs defaults,_rnetdev 1 1" >> /etc/fstab
_rnetdev表示主机无法挂载直接跳过，避免无法挂载主机无法启动
## 创建了一个存储类
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: nfs-storage
annotations:
storageclass.kubernetes.io/is-default-class: "true"
provisioner: k8s-sigs.io/nfs-subdir-external-provisioner
parameters:
archiveOnDelete: "true" ## 删除pv的时候，pv的内容是否要备份
allowVolumeExpansion: true ## 是否允许pvc动态扩容
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: nfs-client-provisioner
labels:
app: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
spec:
replicas: 1
strategy:
type: Recreate
selector:
matchLabels:
app: nfs-client-provisioner
template:
metadata:
labels:
app: nfs-client-provisioner
spec:
serviceAccountName: nfs-client-provisioner
containers:
- name: nfs-client-provisioner
image: registry.cn-guangzhou.aliyuncs.com/leoiceo_k8s_images/nfs-subdir-external-provisioner:v4.0.2
# resources:
# limits:
# cpu: 10m
# requests:
# cpu: 10m
volumeMounts:
- name: nfs-client-root
mountPath: /persistentvolumes
env:
- name: PROVISIONER_NAME
value: k8s-sigs.io/nfs-subdir-external-provisioner
- name: NFS_SERVER
value: 172.31.0.4 ## 指定自己nfs服务器地址
- name: NFS_PATH
value: /nfs/data ## nfs服务器共享的目录
volumes:
- name: nfs-client-root
nfs:
server: 172.31.0.4
path: /nfs/data
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: nfs-client-provisioner-runner
rules:
- apiGroups: [""]
resources: ["nodes"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["persistentvolumes"]
verbs: ["get", "list", "watch", "create", "delete"]
- apiGroups: [""]
resources: ["persistentvolumeclaims"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["events"]
verbs: ["create", "update", "patch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: run-nfs-client-provisioner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
roleRef:
kind: ClusterRole
name: nfs-client-provisioner-runner
apiGroup: rbac.authorization.k8s.io
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
rules:
- apiGroups: [""]
resources: ["endpoints"]
verbs: ["get", "list", "watch", "create", "update", "patch"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
roleRef:
kind: Role
name: leader-locking-nfs-client-provisioner
apiGroup: rbac.authorization.k8s.io
[root@k8s-master-001 docker]# kubectl apply -f storege.yaml
[root@k8s-master-001 docker]# kubectl get sc
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
nfs-storage (default) k8s-sigs.io/nfs-subdir-external-provisioner Delete Immediate false 12m
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: nginx-pvc2
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 200Mi
[root@k8s-master-001 ~]# kubectl apply -f pvc.yaml
# 查看已经下发成功
[root@k8s-master-001 ~]# kubectl get pvc
NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
nginx-pvc2 Bound pvc-ed8b1349-6717-44c4-914b-7b28c2be0102 200Mi RWX nfs-storage 11s
- 集群指标监控组件 （metrics-server）
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
k8s-app: metrics-server
rbac.authorization.k8s.io/aggregate-to-admin: "true"
rbac.authorization.k8s.io/aggregate-to-edit: "true"
rbac.authorization.k8s.io/aggregate-to-view: "true"
name: system:aggregated-metrics-reader
rules:
- apiGroups:
- metrics.k8s.io
resources:
- pods
- nodes
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
k8s-app: metrics-server
name: system:metrics-server
rules:
- apiGroups:
- ""
resources:
- pods
- nodes
- nodes/stats
- namespaces
- configmaps
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
labels:
k8s-app: metrics-server
name: metrics-server-auth-reader
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
k8s-app: metrics-server
name: metrics-server:system:auth-delegator
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:auth-delegator
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
k8s-app: metrics-server
name: system:metrics-server
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:metrics-server
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: v1
kind: Service
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
spec:
ports:
- name: https
port: 443
protocol: TCP
targetPort: https
selector:
k8s-app: metrics-server
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
spec:
selector:
matchLabels:
k8s-app: metrics-server
strategy:
rollingUpdate:
maxUnavailable: 0
template:
metadata:
labels:
k8s-app: metrics-server
spec:
containers:
- args:
- --cert-dir=/tmp
- --kubelet-insecure-tls
- --secure-port=4443
- --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
- --kubelet-use-node-status-port
image: registry.cn-guangzhou.aliyuncs.com/leoiceo_k8s_images/metrics-server:v0.4.3
imagePullPolicy: IfNotPresent
livenessProbe:
failureThreshold: 3
httpGet:
path: /livez
port: https
scheme: HTTPS
periodSeconds: 10
name: metrics-server
ports:
- containerPort: 4443
name: https
protocol: TCP
readinessProbe:
failureThreshold: 3
httpGet:
path: /readyz
port: https
scheme: HTTPS
periodSeconds: 10
securityContext:
readOnlyRootFilesystem: true
runAsNonRoot: true
runAsUser: 1000
volumeMounts:
- mountPath: /tmp
name: tmp-dir
nodeSelector:
kubernetes.io/os: linux
priorityClassName: system-cluster-critical
serviceAccountName: metrics-server
volumes:
- emptyDir: {}
name: tmp-dir
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
labels:
k8s-app: metrics-server
name: v1beta1.metrics.k8s.io
spec:
group: metrics.k8s.io
groupPriorityMinimum: 100
insecureSkipTLSVerify: true
service:
name: metrics-server
namespace: kube-system
version: v1beta1
versionPriority: 100
[root@k8s-master-001 ~]# kubectl top nodes
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
k8s-master-001 121m 3% 2226Mi 60%
k8s-node-001 66m 1% 1336Mi 36%
k8s-node-002 72m 1% 1489Mi 40%
# 不加 -A 默认查看default命名空间下面的状态
[root@k8s-master-001 ~]# kubectl top pods -A
NAME CPU(cores) MEMORY(bytes)
hello-server-6cbb679d85-j2z8t 0m 1Mi
hello-server-6cbb679d85-jpmk8 0m 1Mi
nfs-client-provisioner-58bfb68ddd-dzds4 1m 7Mi
nginx-demo-7d56b74b84-69r5l 0m 6Mi
nginx-demo-7d56b74b84-9hr9v 0m 6Mi
nginx-deploy-pvc-79fc8558c7-6svkd 0m 5Mi
nginx-deploy-pvc-79fc8558c7-dsfjv 0m 5Mi
private-php-fpm 1m 6Mi
redis 1m 3Mi
安装KubeSphere
https://kubesphere.com.cn/
wget https://github.com/kubesphere/ks-installer/releases/download/v3.2.1/kubesphere-installer.yaml
wget https://github.com/kubesphere/ks-installer/releases/download/v3.2.1/cluster-configuration.yaml
---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
name: ks-installer
namespace: kubesphere-system
labels:
version: v3.2.1
spec:
persistence:
storageClass: "" # If there is no default StorageClass in your cluster, you need to specify an existing StorageClass here.
authentication:
jwtSecret: "" # Keep the jwtSecret consistent with the Host Cluster. Retrieve the jwtSecret by executing "kubectl -n kubesphere-system get cm kubesphere-config -o yaml | grep -v "apiVersion" | grep jwtSecret" on the Host Cluster.
local_registry: "" # Add your private registry address if it is needed.
# dev_tag: "" # Add your kubesphere image tag you want to install, by default it's same as ks-install release version.
etcd:
monitoring: true # Enable or disable etcd monitoring dashboard installation. You have to create a Secret for etcd before you enable it.
endpointIps: 10.3.100.66 # etcd cluster EndpointIps. It can be a bunch of IPs here.
port: 2379 # etcd port.
tlsEnable: true
common:
core:
console:
enableMultiLogin: true # Enable or disable simultaneous logins. It allows different users to log in with the same account at the same time.
port: 30880
type: NodePort
# apiserver: # Enlarge the apiserver and controller manager's resource requests and limits for the large cluster
# resources: {}
# controllerManager:
# resources: {}
redis:
enabled: true
volumeSize: 2Gi # Redis PVC size.
openldap:
enabled: true
volumeSize: 2Gi # openldap PVC size.
minio:
volumeSize: 20Gi # Minio PVC size.
monitoring:
# type: external # Whether to specify the external prometheus stack, and need to modify the endpoint at the next line.
endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090 # Prometheus endpoint to get metrics data.
GPUMonitoring: # Enable or disable the GPU-related metrics. If you enable this switch but have no GPU resources, Kubesphere will set it to zero.
enabled: true
gpu: # Install GPUKinds. The default GPU kind is nvidia.com/gpu. Other GPU kinds can be added here according to your needs.
kinds:
- resourceName: "nvidia.com/gpu"
resourceType: "GPU"
default: true
es: # Storage backend for logging, events and auditing.
# master:
# volumeSize: 4Gi # The volume size of Elasticsearch master nodes.
# replicas: 1 # The total number of master nodes. Even numbers are not allowed.
# resources: {}
# data:
# volumeSize: 20Gi # The volume size of Elasticsearch data nodes.
# replicas: 1 # The total number of data nodes.
# resources: {}
logMaxAge: 7 # Log retention time in built-in Elasticsearch. It is 7 days by default.
elkPrefix: logstash # The string making up index names. The index name will be formatted as ks-<elk_prefix>-log.
basicAuth:
enabled: false
username: ""
password: ""
externalElasticsearchUrl: ""
externalElasticsearchPort: ""
alerting: # (CPU: 0.1 Core, Memory: 100 MiB) It enables users to customize alerting policies to send messages to receivers in time with different time intervals and alerting levels to choose from.
enabled: true # Enable or disable the KubeSphere Alerting System.
# thanosruler:
# replicas: 1
# resources: {}
auditing: # Provide a security-relevant chronological set of records，recording the sequence of activities happening on the platform, initiated by different tenants.
enabled: true # Enable or disable the KubeSphere Auditing Log System.
# operator:
# resources: {}
# webhook:
# resources: {}
devops: # (CPU: 0.47 Core, Memory: 8.6 G) Provide an out-of-the-box CI/CD system based on Jenkins, and automated workflow tools including Source-to-Image & Binary-to-Image.
enabled: true # Enable or disable the KubeSphere DevOps System.
# resources: {}
jenkinsMemoryLim: 2Gi # Jenkins memory limit.
jenkinsMemoryReq: 1500Mi # Jenkins memory request.
jenkinsVolumeSize: 8Gi # Jenkins volume size.
jenkinsJavaOpts_Xms: 512m # The following three fields are JVM parameters.
jenkinsJavaOpts_Xmx: 512m
jenkinsJavaOpts_MaxRAM: 2g
events: # Provide a graphical web console for Kubernetes Events exporting, filtering and alerting in multi-tenant Kubernetes clusters.
enabled: true # Enable or disable the KubeSphere Events System.
# operator:
# resources: {}
# exporter:
# resources: {}
# ruler:
# enabled: true
# replicas: 2
# resources: {}
logging: # (CPU: 57 m, Memory: 2.76 G) Flexible logging functions are provided for log query, collection and management in a unified console. Additional log collectors can be added, such as Elasticsearch, Kafka and Fluentd.
enabled: true # Enable or disable the KubeSphere Logging System.
containerruntime: docker
logsidecar:
enabled: true
replicas: 2
# resources: {}
metrics_server: # (CPU: 56 m, Memory: 44.35 MiB) It enables HPA (Horizontal Pod Autoscaler).
enabled: false
monitoring:
storageClass: "" # If there is an independent StorageClass you need for Prometheus, you can specify it here. The default StorageClass is used by default.
# kube_rbac_proxy:
# resources: {}
# kube_state_metrics:
# resources: {}
# prometheus:
# replicas: 1 # Prometheus replicas are responsible for monitoring different segments of data source and providing high availability.
# volumeSize: 20Gi # Prometheus PVC size.
# resources: {}
# operator:
# resources: {}
# adapter:
# resources: {}
# node_exporter:
# resources: {}
# alertmanager:
# replicas: 1 # AlertManager Replicas.
# resources: {}
# notification_manager:
# resources: {}
# operator:
# resources: {}
# proxy:
# resources: {}
gpu: # GPU monitoring-related plug-in installation.
nvidia_dcgm_exporter: # Ensure that gpu resources on your hosts can be used normally, otherwise this plug-in will not work properly.
enabled: true # Check whether the labels on the GPU hosts contain "nvidia.com/gpu.present=true" to ensure that the DCGM pod is scheduled to these nodes.
# resources: {}
multicluster:
clusterRole: none # host | member | none # You can install a solo cluster, or specify it as the Host or Member Cluster.
network:
networkpolicy: # Network policies allow network isolation within the same cluster, which means firewalls can be set up between certain instances (Pods).
# Make sure that the CNI network plugin used by the cluster supports NetworkPolicy. There are a number of CNI network plugins that support NetworkPolicy, including Calico, Cilium, Kube-router, Romana and Weave Net.
enabled: true # Enable or disable network policies.
ippool: # Use Pod IP Pools to manage the Pod network address space. Pods to be created can be assigned IP addresses from a Pod IP Pool.
type: calico # Specify "calico" for this field if Calico is used as your CNI plugin. "none" means that Pod IP Pools are disabled.
topology: # Use Service Topology to view Service-to-Service communication based on Weave Scope.
type: none # Specify "weave-scope" for this field to enable Service Topology. "none" means that Service Topology is disabled.
openpitrix: # An App Store that is accessible to all platform tenants. You can use it to manage apps across their entire lifecycle.
store:
enabled: true # Enable or disable the KubeSphere App Store.
servicemesh: # (0.3 Core, 300 MiB) Provide fine-grained traffic management, observability and tracing, and visualized traffic topology.
enabled: true # Base component (pilot). Enable or disable KubeSphere Service Mesh (Istio-based).
kubeedge: # Add edge nodes to your cluster and deploy workloads on edge nodes.
enabled: false # Enable or disable KubeEdge.
cloudCore:
nodeSelector: {"node-role.kubernetes.io/worker": ""}
tolerations: []
cloudhubPort: "10000"
cloudhubQuicPort: "10001"
cloudhubHttpsPort: "10002"
cloudstreamPort: "10003"
tunnelPort: "10004"
cloudHub:
advertiseAddress: # At least a public IP address or an IP address which can be accessed by edge nodes must be provided.
- "" # Note that once KubeEdge is enabled, CloudCore will malfunction if the address is not provided.
nodeLimit: "100"
service:
cloudhubNodePort: "30000"
cloudhubQuicNodePort: "30001"
cloudhubHttpsNodePort: "30002"
cloudstreamNodePort: "30003"
tunnelNodePort: "30004"
edgeWatcher:
nodeSelector: {"node-role.kubernetes.io/worker": ""}
tolerations: []
edgeWatcherAgent:
nodeSelector: {"node-role.kubernetes.io/worker": ""}
tolerations: []
kubectl apply -f https://github.com/kubesphere/ks-installer/releases/download/v3.2.1/kubesphere-installer.yaml
kubectl apply -f https://github.com/kubesphere/ks-installer/releases/download/v3.2.1/cluster-configuration.yaml
kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f
task alerting status is successful (1/11)
task network status is successful (2/11)
task multicluster status is successful (3/11)
task openpitrix status is successful (4/11)
task auditing status is successful (5/11)
task events status is successful (6/11)
task logging status is successful (7/11)
task kubeedge status is successful (8/11)
task devops status is successful (9/11)
task monitoring status is successful (10/11)
task servicemesh status is successful (11/11)
Collecting installation results ...
#####################################################
### Welcome to KubeSphere! ###
#####################################################
Console: http://10.3.100.66:30880
Account: admin
Password: P@88w0rd
prometheus-operator容器运行卡住时，根据报错提示解决etcd监控证书找不到问题
kubectl -n kubesphere-monitoring-system create secret generic kube-etcd-client-certs --from-file=etcd-client-ca.crt=/etc/kubernetes/pki/etcd/ca.crt --from-file=etcd-client.crt=/etc/kubernetes/pki/apiserver-etcd-client.crt --from-file=etcd-client.key=/etc/kubernetes/pki/apiserver-etcd-client.key
Linux运维笔记|自动化运维攻城狮
