kubernetes master 节点运行如下组件:
- kube-apiserver
- kube-scheduler
- kube-controller-manager
kube-apiserver、kube-scheduler 和 kube-controller-manager 均以多实例模式运行:
- kube-scheduler 和 kube-controller-manager 会自动选举产生一个 leader 实例,其它实例处于阻塞模式,当 leader 挂了后,重新选举产生新的 leader,从而保证服务可用性;
- kube-apiserver 是无状态的,可以通过 kube-nginx 进行代理访问,从而保证服务可用性;
1. 构建分发
source /opt/k8s/bin/environment.sh
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp {apiextensions-apiserver,kube-apiserver,kube-controller-manager,kube-proxy,kube-scheduler,kubeadm,kubectl,kubelet,mounter} root@${node_ip}:/opt/k8s/bin/
ssh root@${node_ip} "chmod +x /opt/k8s/bin/*"
done
2. 部署 kube-apiserver 集群
(1) 创建 kubernetes-master 证书和私钥
cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
cat > kubernetes-csr.json <<EOF
{
"CN": "kubernetes-master",
"hosts": [
"127.0.0.1",
"192.168.31.44",
"192.168.31.136",
"192.168.31.90",
"${CLUSTER_KUBERNETES_SVC_IP}",
"kubernetes",
"kubernetes.default",
"kubernetes.default.svc",
"kubernetes.default.svc.cluster",
"kubernetes.default.svc.cluster.local."
],
"key": {
"algo": "rsa",
"size": 2048
},
"names": [
{
"C": "CN",
"ST": "BeiJing",
"L": "BeiJing",
"O": "k8s",
"OU": "opsnull"
}
]
}
EOF
生成证书和私钥:
cfssl gencert -ca=/etc/kubernetes/cert/ca.pem \
-ca-key=/etc/kubernetes/cert/ca-key.pem \
-config=/etc/kubernetes/cert/ca-config.json \
-profile=kubernetes kubernetes-csr.json | cfssljson -bare kubernetes
ls kubernetes*pem
分发证书文件:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp kubernetes* root@${node_ip}:/etc/kubernetes/cert/
done
(2) 创建加密配置文件
cd /opt/k8s/work
cat > encryption-config.yaml <<EOF
kind: EncryptionConfig
apiVersion: v1
resources:
- resources:
- secrets
providers:
- aescbc:
keys:
- name: key1
secret: ${ENCRYPTION_KEY}
- identity: {}
EOF
将加密配置文件拷贝到 master 节点的 /etc/kubernetes
目录下:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp encryption-config.yaml root@${node_ip}:/etc/kubernetes/
done
(3) 创建审计策略文件
cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
cat > audit-policy.yaml <<EOF
apiVersion: audit.k8s.io/v1beta1
kind: Policy
rules:
# The following requests were manually identified as high-volume and low-risk, so drop them.
- level: None
resources:
- group: ""
resources:
- endpoints
- services
- services/status
users:
- 'system:kube-proxy'
verbs:
- watch
- level: None
resources:
- group: ""
resources:
- nodes
- nodes/status
userGroups:
- 'system:nodes'
verbs:
- get
- level: None
namespaces:
- kube-system
resources:
- group: ""
resources:
- endpoints
users:
- 'system:kube-controller-manager'
- 'system:kube-scheduler'
- 'system:serviceaccount:kube-system:endpoint-controller'
verbs:
- get
- update
- level: None
resources:
- group: ""
resources:
- namespaces
- namespaces/status
- namespaces/finalize
users:
- 'system:apiserver'
verbs:
- get
# Don't log HPA fetching metrics.
- level: None
resources:
- group: metrics.k8s.io
users:
- 'system:kube-controller-manager'
verbs:
- get
- list
# Don't log these read-only URLs.
- level: None
nonResourceURLs:
- '/healthz*'
- /version
- '/swagger*'
# Don't log events requests.
- level: None
resources:
- group: ""
resources:
- events
# node and pod status calls from nodes are high-volume and can be large, don't log responses
# for expected updates from nodes
- level: Request
omitStages:
- RequestReceived
resources:
- group: ""
resources:
- nodes/status
- pods/status
users:
- kubelet
- 'system:node-problem-detector'
- 'system:serviceaccount:kube-system:node-problem-detector'
verbs:
- update
- patch
- level: Request
omitStages:
- RequestReceived
resources:
- group: ""
resources:
- nodes/status
- pods/status
userGroups:
- 'system:nodes'
verbs:
- update
- patch
# deletecollection calls can be large, don't log responses for expected namespace deletions
- level: Request
omitStages:
- RequestReceived
users:
- 'system:serviceaccount:kube-system:namespace-controller'
verbs:
- deletecollection
# Secrets, ConfigMaps, and TokenReviews can contain sensitive & binary data,
# so only log at the Metadata level.
- level: Metadata
omitStages:
- RequestReceived
resources:
- group: ""
resources:
- secrets
- configmaps
- group: authentication.k8s.io
resources:
- tokenreviews
# Get repsonses can be large; skip them.
- level: Request
omitStages:
- RequestReceived
resources:
- group: ""
- group: admissionregistration.k8s.io
- group: apiextensions.k8s.io
- group: apiregistration.k8s.io
- group: apps
- group: authentication.k8s.io
- group: authorization.k8s.io
- group: autoscaling
- group: batch
- group: certificates.k8s.io
- group: extensions
- group: metrics.k8s.io
- group: networking.k8s.io
- group: policy
- group: rbac.authorization.k8s.io
- group: scheduling.k8s.io
- group: settings.k8s.io
- group: storage.k8s.io
verbs:
- get
- list
- watch
# Default level for known APIs
- level: RequestResponse
omitStages:
- RequestReceived
resources:
- group: ""
- group: admissionregistration.k8s.io
- group: apiextensions.k8s.io
- group: apiregistration.k8s.io
- group: apps
- group: authentication.k8s.io
- group: authorization.k8s.io
- group: autoscaling
- group: batch
- group: certificates.k8s.io
- group: extensions
- group: metrics.k8s.io
- group: networking.k8s.io
- group: policy
- group: rbac.authorization.k8s.io
- group: scheduling.k8s.io
- group: settings.k8s.io
- group: storage.k8s.io
# Default level for all other requests.
- level: Metadata
omitStages:
- RequestReceived
EOF
分发审计策略文件:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp audit-policy.yaml root@${node_ip}:/etc/kubernetes/audit-policy.yaml
done
(4) 创建后续访问 metrics-server 或 kube-prometheus 使用的证书
cd /opt/k8s/work
cat > proxy-client-csr.json <<EOF
{
"CN": "aggregator",
"hosts": [],
"key": {
"algo": "rsa",
"size": 2048
},
"names": [
{
"C": "CN",
"ST": "BeiJing",
"L": "BeiJing",
"O": "k8s",
"OU": "opsnull"
}
]
}
EOF
- CN 名称需要位于
kube-apiserver
的--requestheader-allowed-names
参数中,否则后续访问 metrics 时会提示权限不足
生成证书和私钥:
cfssl gencert -ca=/etc/kubernetes/cert/ca.pem \
-ca-key=/etc/kubernetes/cert/ca-key.pem \
-config=/etc/kubernetes/cert/ca-config.json \
-profile=kubernetes proxy-client-csr.json | cfssljson -bare proxy-client
ls proxy-client*.pem
将生成的证书和私钥文件拷贝到所有 master 节点:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp proxy-client* root@${node_ip}:/etc/kubernetes/cert/
done
(5) 创建 kube-apiserver systemd unit 模板文件
cat > kube-apiserver.service.template <<EOF
[Unit]
Description=Kubernetes API Server
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=network.target
[Service]
WorkingDirectory=${K8S_DIR}/kube-apiserver
ExecStart=/opt/k8s/bin/kube-apiserver \\
--advertise-address=##NODE_IP## \\
--default-not-ready-toleration-seconds=360 \\
--default-unreachable-toleration-seconds=360 \\
--feature-gates=DynamicAuditing=true \\
--max-mutating-requests-inflight=2000 \\
--max-requests-inflight=4000 \\
--default-watch-cache-size=200 \\
--delete-collection-workers=2 \\
--encryption-provider-config=/etc/kubernetes/encryption-config.yaml \\
--etcd-cafile=/etc/kubernetes/cert/ca.pem \\
--etcd-certfile=/etc/kubernetes/cert/kubernetes.pem \\
--etcd-keyfile=/etc/kubernetes/cert/kubernetes-key.pem \\
--etcd-servers=${ETCD_ENDPOINTS} \\
--bind-address=##NODE_IP## \\
--secure-port=6443 \\
--tls-cert-file=/etc/kubernetes/cert/kubernetes.pem \\
--tls-private-key-file=/etc/kubernetes/cert/kubernetes-key.pem \\
--insecure-port=0 \\
--audit-dynamic-configuration \\
--audit-log-maxage=15 \\
--audit-log-maxbackup=3 \\
--audit-log-maxsize=100 \\
--audit-log-truncate-enabled \\
--audit-log-path=${K8S_DIR}/kube-apiserver/audit.log \\
--audit-policy-file=/etc/kubernetes/audit-policy.yaml \\
--profiling \\
--anonymous-auth=false \\
--client-ca-file=/etc/kubernetes/cert/ca.pem \\
--enable-bootstrap-token-auth \\
--requestheader-allowed-names="aggregator" \\
--requestheader-client-ca-file=/etc/kubernetes/cert/ca.pem \\
--requestheader-extra-headers-prefix="X-Remote-Extra-" \\
--requestheader-group-headers=X-Remote-Group \\
--requestheader-username-headers=X-Remote-User \\
--service-account-key-file=/etc/kubernetes/cert/ca.pem \\
--authorization-mode=Node,RBAC \\
--runtime-config=api/all=true \\
--enable-admission-plugins=NodeRestriction \\
--allow-privileged=true \\
--apiserver-count=3 \\
--event-ttl=168h \\
--kubelet-certificate-authority=/etc/kubernetes/cert/ca.pem \\
--kubelet-client-certificate=/etc/kubernetes/cert/kubernetes.pem \\
--kubelet-client-key=/etc/kubernetes/cert/kubernetes-key.pem \\
--kubelet-https=true \\
--kubelet-timeout=10s \\
--proxy-client-cert-file=/etc/kubernetes/cert/proxy-client.pem \\
--proxy-client-key-file=/etc/kubernetes/cert/proxy-client-key.pem \\
--service-cluster-ip-range=${SERVICE_CIDR} \\
--service-node-port-range=${NODE_PORT_RANGE} \\
--logtostderr=true \\
--v=2
Restart=on-failure
RestartSec=10
Type=notify
LimitNOFILE=65536
[Install]
WantedBy=multi-user.target
EOF
--advertise-address
:apiserver 对外通告的 IP(kubernetes 服务后端节点 IP);--default-*-toleration-seconds
:设置节点异常相关的阈值;--max-*-requests-inflight
:请求相关的最大阈值;--etcd-*
:访问 etcd 的证书和 etcd 服务器地址;--bind-address
: https 监听的 IP,不能为 127.0.0.1,否则外界不能访问它的安全端口 6443;--secure-port
:https 监听端口;--insecure-port=0
:关闭监听 http 非安全端口(8080);--tls-*-file
:指定 apiserver 使用的证书、私钥和 CA 文件;--audit-*
:配置审计策略和审计日志文件相关的参数;--client-ca-file
:验证 client (kue-controller-manager、kube-scheduler、kubelet、kube-proxy 等)请求所带的证书;--enable-bootstrap-token-auth
:启用 kubelet bootstrap 的 token 认证;--requestheader-*
:kube-apiserver 的 aggregator layer 相关的配置参数,proxy-client & HPA 需要使用;--requestheader-client-ca-file
:用于签名 –proxy-client-cert-file 和 –proxy-client-key-file 指定的证书;在启用了 metric aggregator 时使用;--requestheader-allowed-names
:不能为空,值为逗号分割的 –proxy-client-cert-file 证书的 CN 名称,这里设置为 “aggregator”;--service-account-key-file
:签名 ServiceAccount Token 的公钥文件,kube-controller-manager 的 –service-account-private-key-file 指定私钥文件,两者配对使用;--runtime-config=api/all=true
: 启用所有版本的 APIs,如 autoscaling/v2alpha1;--authorization-mode=Node,RBAC、--anonymous-auth=false
: 开启 Node 和 RBAC 授权模式,拒绝未授权的请求;--enable-admission-plugins
:启用一些默认关闭的 plugins;--allow-privileged
:运行执行 privileged 权限的容器;--apiserver-count=3
:指定 apiserver 实例的数量;--event-ttl
:指定 events 的保存时间;--kubelet-*
:如果指定,则使用 https 访问 kubelet APIs;需要为证书对应的用户(上面 kubernetes*.pem 证书的用户为 kubernetes) 用户定义 RBAC 规则,否则访问 kubelet API 时提示未授权;--proxy-client-*
:apiserver 访问 metrics-server 使用的证书;--service-cluster-ip-range
: 指定 Service Cluster IP 地址段;--service-node-port-range
: 指定 NodePort 的端口范围;
(6) 为各节点创建和分发 kube-apiserver systemd unit 文件
for (( i=0; i < 3; i++ ))
do
sed -e "s/##NODE_NAME##/${NODE_NAMES[i]}/" -e "s/##NODE_IP##/${NODE_IPS[i]}/" kube-apiserver.service.template > kube-apiserver-${NODE_IPS[i]}.service
done
ls kube-apiserver*.service
分发生成的 systemd unit 文件:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-apiserver-${node_ip}.service root@${node_ip}:/etc/systemd/system/kube-apiserver.service
done
(7) 启动 kube-apiserver 服务
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "mkdir -p ${K8S_DIR}/kube-apiserver"
ssh root@${node_ip} "systemctl daemon-reload && systemctl enable kube-apiserver && systemctl restart kube-apiserver"
done
(8) 检查 kube-apiserver 运行状态
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "systemctl status kube-apiserver |grep 'Active:'"
done
(9) 检查集群状态
$ kubectl cluster-info
Kubernetes master is running at https://192.168.31.44:6443
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
$ curl -s --cacert /etc/kubernetes/cert/ca.pem --cert /etc/kubernetes/cert/kubernetes.pem --key /etc/kubernetes/cert/kubernetes-key.pem https://192.168.31.44:6443/healthz
OK
$ kubectl get all --all-namespaces
NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
default service/kubernetes ClusterIP 10.254.0.1 <none> 443/TCP 7m57s
$ kubectl get componentstatuses
NAME STATUS MESSAGE ERROR
controller-manager Unhealthy Get "http://127.0.0.1:10252/healthz": dial tcp 127.0.0.1:10252: connect: connection refused
scheduler Unhealthy Get "http://127.0.0.1:10251/healthz": dial tcp 127.0.0.1:10251: connect: connection refused
etcd-1 Healthy {"health":"true"}
etcd-0 Healthy {"health":"true"}
etcd-2 Healthy {"health":"true"}
(10) 检查 kube-apiserver 监听的端口
$ netstat -lnpt | grep kube
tcp 0 0 192.168.31.44:6443 0.0.0.0:* LISTEN 18018/kube-apiserve
- 6443: 接收 https 请求的安全端口,对所有请求做认证和授权;
- 由于关闭了非安全端口,故没有监听 8080;
3. 部署高可用 kube-controller-manager 集群
(1) 创建 kube-controller-manager 证书和私钥
cat > kube-controller-manager-csr.json <<EOF
{
"CN": "system:kube-controller-manager",
"key": {
"algo": "rsa",
"size": 2048
},
"hosts": [
"127.0.0.1",
"192.168.31.44",
"192.168.31.136",
"192.168.31.90"
],
"names": [
{
"C": "CN",
"ST": "BeiJing",
"L": "BeiJing",
"O": "system:kube-controller-manager",
"OU": "opsnull"
}
]
}
EOF
生成证书和私钥:
cfssl gencert -ca=/etc/kubernetes/cert/ca.pem \
-ca-key=/etc/kubernetes/cert/ca-key.pem \
-config=/etc/kubernetes/cert/ca-config.json \
-profile=kubernetes kube-controller-manager-csr.json | cfssljson -bare kube-controller-manager
将生成的证书和私钥分发到所有节点:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-controller-manager* root@${node_ip}:/etc/kubernetes/cert/
done
(2) 创建和分发 kubeconfig 文件
kubectl config set-cluster kubernetes \
--certificate-authority=/etc/kubernetes/cert/ca.pem \
--embed-certs=true \
--server="https://##NODE_IP##:6443" \
--kubeconfig=kube-controller-manager.kubeconfig
kubectl config set-credentials system:kube-controller-manager \
--client-certificate=/etc/kubernetes/cert/kube-controller-manager.pem \
--client-key=/etc/kubernetes/cert/kube-controller-manager-key.pem \
--embed-certs=true \
--kubeconfig=kube-controller-manager.kubeconfig
kubectl config set-context system:kube-controller-manager \
--cluster=kubernetes \
--user=system:kube-controller-manager \
--kubeconfig=kube-controller-manager.kubeconfig
kubectl config use-context system:kube-controller-manager --kubeconfig=kube-controller-manager.kubeconfig
(3) 分发 kubeconfig 到所有节点:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
sed -e "s/##NODE_IP##/${node_ip}/" kube-controller-manager.kubeconfig > kube-controller-manager-${node_ip}.kubeconfig
scp kube-controller-manager-${node_ip}.kubeconfig root@${node_ip}:/etc/kubernetes/kube-controller-manager.kubeconfig
done
(4) 创建 kube-controller-manager systemd unit 模板文件
cat > kube-controller-manager.service.template <<EOF
[Unit]
Description=Kubernetes Controller Manager
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
[Service]
WorkingDirectory=${K8S_DIR}/kube-controller-manager
ExecStart=/opt/k8s/bin/kube-controller-manager \\
--profiling \\
--cluster-name=kubernetes \\
--controllers=*,bootstrapsigner,tokencleaner \\
--kube-api-qps=1000 \\
--kube-api-burst=2000 \\
--leader-elect \\
--use-service-account-credentials\\
--concurrent-service-syncs=2 \\
--bind-address=##NODE_IP## \\
--tls-cert-file=/etc/kubernetes/cert/kube-controller-manager.pem \\
--tls-private-key-file=/etc/kubernetes/cert/kube-controller-manager-key.pem \\
--authentication-kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \\
--client-ca-file=/etc/kubernetes/cert/ca.pem \\
--requestheader-allowed-names="aggregator" \\
--requestheader-client-ca-file=/etc/kubernetes/cert/ca.pem \\
--requestheader-extra-headers-prefix="X-Remote-Extra-" \\
--requestheader-group-headers=X-Remote-Group \\
--requestheader-username-headers=X-Remote-User \\
--authorization-kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \\
--cluster-signing-cert-file=/etc/kubernetes/cert/ca.pem \\
--cluster-signing-key-file=/etc/kubernetes/cert/ca-key.pem \\
--experimental-cluster-signing-duration=876000h \\
--horizontal-pod-autoscaler-sync-period=10s \\
--concurrent-deployment-syncs=10 \\
--concurrent-gc-syncs=30 \\
--node-cidr-mask-size=24 \\
--service-cluster-ip-range=${SERVICE_CIDR} \\
--pod-eviction-timeout=6m \\
--terminated-pod-gc-threshold=10000 \\
--root-ca-file=/etc/kubernetes/cert/ca.pem \\
--service-account-private-key-file=/etc/kubernetes/cert/ca-key.pem \\
--kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \\
--logtostderr=true \\
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF
(5) 为各节点创建和分发 kube-controller-mananger systemd unit 文件
# 替换
for (( i=0; i < 3; i++ ))
do
sed -e "s/##NODE_NAME##/${NODE_NAMES[i]}/" -e "s/##NODE_IP##/${NODE_IPS[i]}/" kube-controller-manager.service.template > kube-controller-manager-${NODE_IPS[i]}.service
done
# 分发
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-controller-manager-${node_ip}.service root@${node_ip}:/etc/systemd/system/kube-controller-manager.service
done
(6) 启动 kube-controller-manager 服务
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "mkdir -p ${K8S_DIR}/kube-controller-manager"
ssh root@${node_ip} "systemctl daemon-reload && systemctl enable kube-controller-manager && systemctl restart kube-controller-manager"
done
(7) 检查服务运行状态
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "systemctl status kube-controller-manager|grep Active"
done
$ sudo netstat -lnpt | grep kube-controlle
tcp 0 0 192.168.31.44:10257 0.0.0.0:* LISTEN 8832/kube-controlle
tcp6 0 0 :::10252 :::* LISTEN 8832/kube-controlle
# 10257 端口用于存活性检查
$ curl -s --cacert /etc/kubernetes/cert/ca.pem --cert /etc/kubernetes/cert/kube-controller-manager.pem --key /etc/kubernetes/cert/kube-controller-manager-key.pem https://192.168.31.44:10257/healthz
# 10252 用于与 apiserver 连接
(8) 查看输出的 metrics
$ curl http://192.168.31.44:10252/metrics | head
# TYPE apiserver_audit_event_total counter
apiserver_audit_event_total 0
# HELP apiserver_audit_requests_rejected_total [ALPHA] Counter of apiserver requests rejected due to an error in audit logging backend.
# TYPE apiserver_audit_requests_rejected_total counter
apiserver_audit_requests_rejected_total 0
# HELP apiserver_client_certificate_expiration_seconds [ALPHA] Distribution of the remaining lifetime on the certificate used to authenticate a request.
# TYPE apiserver_client_certificate_expiration_seconds histogram
apiserver_client_certificate_expiration_seconds_bucket{le="0"} 0
apiserver_client_certificate_expiration_seconds_bucket{le="1800"} 0
(9) 查看当前的 leader
$ kubectl get endpoints kube-controller-manager --namespace=kube-system -o yaml
apiVersion: v1
kind: Endpoints
metadata:
annotations:
control-plane.alpha.kubernetes.io/leader: '{"holderIdentity":"master_3f327dd8-30f6-45a9-bed9-beb40272ec6e","leaseDurationSeconds":15,"acquireTime":"2020-08-02T03:41:57Z","renewTime":"2020-08-02T03:50:06Z","leaderTransitions":0}'
creationTimestamp: "2020-08-02T03:41:57Z"
managedFields:
- apiVersion: v1
fieldsType: FieldsV1
fieldsV1:
f:metadata:
f:annotations:
.: {}
f:control-plane.alpha.kubernetes.io/leader: {}
manager: kube-controller-manager
operation: Update
time: "2020-08-02T03:50:06Z"
name: kube-controller-manager
namespace: kube-system
resourceVersion: "13471"
selfLink: /api/v1/namespaces/kube-system/endpoints/kube-controller-manager
uid: dac90154-68b7-4d3e-84fc-cdf32e9e3b75
# leader 为 master
4. 部署高可用 kube-scheduler 集群
(1) 创建 kube-scheduler 证书和私钥
cat > kube-scheduler-csr.json <<EOF
{
"CN": "system:kube-scheduler",
"hosts": [
"127.0.0.1",
"192.168.31.44",
"192.168.31.136",
"192.168.31.90"
],
"key": {
"algo": "rsa",
"size": 2048
},
"names": [
{
"C": "CN",
"ST": "BeiJing",
"L": "BeiJing",
"O": "system:kube-scheduler",
"OU": "opsnull"
}
]
}
EOF
生成证书和私钥:
cfssl gencert -ca=/etc/kubernetes/cert/ca.pem \
-ca-key=/etc/kubernetes/cert/ca-key.pem \
-config=/etc/kubernetes/cert/ca-config.json \
-profile=kubernetes kube-scheduler-csr.json | cfssljson -bare kube-scheduler
分发:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-scheduler* root@${node_ip}:/etc/kubernetes/cert/
done
(2) 创建和分发 kubeconfig 文件
kubectl config set-cluster kubernetes \
--certificate-authority=/etc/kubernetes/cert/ca.pem \
--embed-certs=true \
--server="https://##NODE_IP##:6443" \
--kubeconfig=kube-scheduler.kubeconfig
kubectl config set-credentials system:kube-scheduler \
--client-certificate=/etc/kubernetes/cert/kube-scheduler.pem \
--client-key=/etc/kubernetes/cert/kube-scheduler-key.pem \
--embed-certs=true \
--kubeconfig=kube-scheduler.kubeconfig
kubectl config set-context system:kube-scheduler \
--cluster=kubernetes \
--user=system:kube-scheduler \
--kubeconfig=kube-scheduler.kubeconfig
kubectl config use-context system:kube-scheduler --kubeconfig=kube-scheduler.kubeconfig
分发:
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
sed -e "s/##NODE_IP##/${node_ip}/" kube-scheduler.kubeconfig > kube-scheduler-${node_ip}.kubeconfig
scp kube-scheduler-${node_ip}.kubeconfig root@${node_ip}:/etc/kubernetes/kube-scheduler.kubeconfig
done
(3) 创建 kube-scheduler 配置文件
cat >kube-scheduler.yaml.template <<EOF
apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
bindTimeoutSeconds: 600
clientConnection:
burst: 200
kubeconfig: "/etc/kubernetes/kube-scheduler.kubeconfig"
qps: 100
enableContentionProfiling: false
enableProfiling: true
hardPodAffinitySymmetricWeight: 1
healthzBindAddress: 127.0.0.1:10251
leaderElection:
leaderElect: true
metricsBindAddress: 127.0.0.1:10251
EOF
替换模板和分发:
for (( i=0; i < 3; i++ ))
do
sed -e "s/##NODE_NAME##/${NODE_NAMES[i]}/" -e "s/##NODE_IP##/${NODE_IPS[i]}/" kube-scheduler.yaml.template > kube-scheduler-${NODE_IPS[i]}.yaml
done
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-scheduler-${node_ip}.yaml root@${node_ip}:/etc/kubernetes/kube-scheduler.yaml
done
(4) 创建 kube-scheduler systemd unit 模板文件
cat > kube-scheduler.service.template <<EOF
[Unit]
Description=Kubernetes Scheduler
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
[Service]
WorkingDirectory=/data/k8s/k8s/kube-scheduler
ExecStart=/opt/k8s/bin/kube-scheduler \
--config=/etc/kubernetes/kube-scheduler.yaml \
--tls-cert-file=/etc/kubernetes/cert/kube-scheduler.pem \
--tls-private-key-file=/etc/kubernetes/cert/kube-scheduler-key.pem \
--authentication-kubeconfig=/etc/kubernetes/kube-scheduler.kubeconfig \
--client-ca-file=/etc/kubernetes/cert/ca.pem \
--requestheader-allowed-names="" \
--requestheader-client-ca-file=/etc/kubernetes/cert/ca.pem \
--requestheader-extra-headers-prefix="X-Remote-Extra-" \
--requestheader-group-headers=X-Remote-Group \
--requestheader-username-headers=X-Remote-User \
--authorization-kubeconfig=/etc/kubernetes/kube-scheduler.kubeconfig \
--logtostderr=true \
--v=2
Restart=always
RestartSec=5
StartLimitInterval=0
[Install]
WantedBy=multi-user.target
EOF
(5) 为各节点创建和分发 kube-scheduler systemd unit 文件
for (( i=0; i < 3; i++ ))
do
sed -e "s/##NODE_NAME##/${NODE_NAMES[i]}/" -e "s/##NODE_IP##/${NODE_IPS[i]}/" kube-scheduler.service.template > kube-scheduler-${NODE_IPS[i]}.service
done
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-scheduler-${node_ip}.service root@${node_ip}:/etc/systemd/system/kube-scheduler.service
done
(6) 启动 kube-scheduler 服务
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "mkdir -p ${K8S_DIR}/kube-scheduler"
ssh root@${node_ip} "systemctl daemon-reload && systemctl enable kube-scheduler && systemctl restart kube-scheduler"
done
(7) 检查服务运行状态
for node_ip in ${NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "systemctl status kube-scheduler|grep Active"
done
(8) 查看输出的 metrics
$ netstat -lnp | grep schedu
tcp 0 0 127.0.0.1:10251 0.0.0.0:* LISTEN 16747/kube-schedule
tcp6 0 0 :::10259 :::* LISTEN 16747/kube-schedule
$ curl http://127.0.0.1:10251/metrics |head
# HELP apiserver_audit_event_total [ALPHA] Counter of audit events generated and sent to the audit backend.
# TYPE apiserver_audit_event_total counter
apiserver_audit_event_total 0
# HELP apiserver_audit_requests_rejected_total [ALPHA] Counter of apiserver requests rejected due to an error in audit logging backend.
# TYPE apiserver_audit_requests_rejected_total counter
apiserver_audit_requests_rejected_total 0
# HELP apiserver_client_certificate_expiration_seconds [ALPHA] Distribution of the remaining lifetime on the certificate used to authenticate a request.
# TYPE apiserver_client_certificate_expiration_seconds histogram
apiserver_client_certificate_expiration_seconds_bucket{le="0"} 0
apiserver_client_certificate_expiration_seconds_bucket{le="1800"} 0
(9) 查看当前的 leader
$ kubectl get endpoints kube-scheduler --namespace=kube-system -o yaml
apiVersion: v1
kind: Endpoints
metadata:
annotations:
control-plane.alpha.kubernetes.io/leader: '{"holderIdentity":"master_ebe08c4d-5d60-4aec-bd45-b75eb3789c41","leaseDurationSeconds":15,"acquireTime":"2020-08-02T09:34:37Z","renewTime":"2020-08-02T09:42:21Z","leaderTransitions":6}'
creationTimestamp: "2020-08-02T08:46:18Z"
managedFields:
- apiVersion: v1
fieldsType: FieldsV1
fieldsV1:
f:metadata:
f:annotations:
.: {}
f:control-plane.alpha.kubernetes.io/leader: {}
manager: kube-scheduler
operation: Update
time: "2020-08-02T09:42:21Z"
name: kube-scheduler
namespace: kube-system
resourceVersion: "33022"
selfLink: /api/v1/namespaces/kube-system/endpoints/kube-scheduler
uid: c36c90f7-358a-4c07-9adb-9db6848a0550
# leader 为 master