06-3.部署高可用 kube-controller-manager 集群

    该集群包含 3 个节点,启动后将通过竞争选举机制产生一个 leader 节点,其它节点为阻塞状态。当 leader 节点不可用时,阻塞的节点将再次进行选举产生新的 leader 节点,从而保证服务的可用性。

    为保证通信安全,本文档先生成 x509 证书和私钥,kube-controller-manager 在如下两种情况下使用该证书:

    1. 与 kube-apiserver 的安全端口通信;
    2. 安全端口(https,10252) 输出 prometheus 格式的 metrics;

    注意:如果没有特殊指明,本文档的所有操作均在 zhangjun-k8s01 节点上执行,然后远程分发文件和执行命令。

    下载最新版本的二进制文件、安装和配置 flanneld 参考:06-1.部署master节点.md

    创建 kube-controller-manager 证书和私钥

    创建证书签名请求:

    • hosts 列表包含所有 kube-controller-manager 节点 IP;
    • CN 和 O 均为 ,kubernetes 内置的 ClusterRoleBindings system:kube-controller-manager 赋予 kube-controller-manager 工作所需的权限。
    1. cd /opt/k8s/work
    2. cfssl gencert -ca=/opt/k8s/work/ca.pem \
    3. -ca-key=/opt/k8s/work/ca-key.pem \
    4. -config=/opt/k8s/work/ca-config.json \
    5. -profile=kubernetes kube-controller-manager-csr.json | cfssljson -bare kube-controller-manager
    6. ls kube-controller-manager*pem

    将生成的证书和私钥分发到所有 master 节点:

    1. cd /opt/k8s/work
    2. source /opt/k8s/bin/environment.sh
    3. for node_ip in ${NODE_IPS[@]}
    4. do
    5. echo ">>> ${node_ip}"
    6. scp kube-controller-manager*.pem root@${node_ip}:/etc/kubernetes/cert/
    7. done

    创建和分发 kubeconfig 文件

    kube-controller-manager 使用 kubeconfig 文件访问 apiserver,该文件提供了 apiserver 地址、嵌入的 CA 证书和 kube-controller-manager 证书:

    1. cd /opt/k8s/work
    2. source /opt/k8s/bin/environment.sh
    3. kubectl config set-cluster kubernetes \
    4. --certificate-authority=/opt/k8s/work/ca.pem \
    5. --embed-certs=true \
    6. --server=${KUBE_APISERVER} \
    7. --kubeconfig=kube-controller-manager.kubeconfig
    8. kubectl config set-credentials system:kube-controller-manager \
    9. --client-certificate=kube-controller-manager.pem \
    10. --client-key=kube-controller-manager-key.pem \
    11. --embed-certs=true \
    12. --kubeconfig=kube-controller-manager.kubeconfig
    13. kubectl config set-context system:kube-controller-manager \
    14. --cluster=kubernetes \
    15. --user=system:kube-controller-manager \
    16. --kubeconfig=kube-controller-manager.kubeconfig
    17. kubectl config use-context system:kube-controller-manager --kubeconfig=kube-controller-manager.kubeconfig

    分发 kubeconfig 到所有 master 节点:

    1. cd /opt/k8s/work
    2. source /opt/k8s/bin/environment.sh
    3. for node_ip in ${NODE_IPS[@]}
    4. do
    5. echo ">>> ${node_ip}"
    6. scp kube-controller-manager.kubeconfig root@${node_ip}:/etc/kubernetes/
    7. done

    创建 kube-controller-manager systemd unit 模板文件

    • --secure-port=10252--bind-address=0.0.0.0: 在所有网络接口监听 10252 端口的 https /metrics 请求;
    • --kubeconfig:指定 kubeconfig 文件路径,kube-controller-manager 使用它连接和验证 kube-apiserver;
    • --authentication-kubeconfig--authorization-kubeconfig:kube-controller-manager 使用它连接 apiserver,对 client 的请求进行认证和授权。kube-controller-manager 不再使用 --tls-ca-file 对请求 https metrics 的 Client 证书进行校验。如果没有配置这两个 kubeconfig 参数,则 client 连接 kube-controller-manager https 端口的请求会被拒绝(提示权限不足)。
    • --cluster-signing-*-file:签名 TLS Bootstrap 创建的证书;
    • --experimental-cluster-signing-duration:指定 TLS Bootstrap 证书的有效期;
    • :放置到容器 ServiceAccount 中的 CA 证书,用来对 kube-apiserver 的证书进行校验;
    • --service-account-private-key-file:签名 ServiceAccount 中 Token 的私钥文件,必须和 kube-apiserver 的 --service-account-key-file 指定的公钥文件配对使用;
    • --service-cluster-ip-range :指定 Service Cluster IP 网段,必须和 kube-apiserver 中的同名参数一致;
    • --leader-elect=true:集群运行模式,启用选举功能;被选为 leader 的节点负责处理工作,其它节点为阻塞状态;
    • --controllers=*,bootstrapsigner,tokencleaner:启用的控制器列表,tokencleaner 用于自动清理过期的 Bootstrap token;
    • --horizontal-pod-autoscaler-*:custom metrics 相关参数,支持 autoscaling/v2alpha1;
    • --tls-cert-file--tls-private-key-file:使用 https 输出 metrics 时使用的 Server 证书和秘钥;
    • --use-service-account-credentials=true: kube-controller-manager 中各 controller 使用 serviceaccount 访问 kube-apiserver;

    替换模板文件中的变量,为各节点创建 systemd unit 文件:

    1. cd /opt/k8s/work
    2. source /opt/k8s/bin/environment.sh
    3. for (( i=0; i < 3; i++ ))
    4. do
    5. 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
    6. done
    7. ls kube-controller-manager*.service
    • NODE_NAMES 和 NODE_IPS 为相同长度的 bash 数组,分别为节点名称和对应的 IP;

    分发到所有 master 节点:

    1. cd /opt/k8s/work
    2. source /opt/k8s/bin/environment.sh
    3. for node_ip in ${NODE_IPS[@]}
    4. do
    5. echo ">>> ${node_ip}"
    6. scp kube-controller-manager-${node_ip}.service root@${node_ip}:/etc/systemd/system/kube-controller-manager.service
    7. done
    • 文件重命名为 kube-controller-manager.service;

    启动 kube-controller-manager 服务

    1. source /opt/k8s/bin/environment.sh
    2. for node_ip in ${NODE_IPS[@]}
    3. do
    4. echo ">>> ${node_ip}"
    5. ssh root@${node_ip} "mkdir -p ${K8S_DIR}/kube-controller-manager"
    6. ssh root@${node_ip} "systemctl daemon-reload && systemctl enable kube-controller-manager && systemctl restart kube-controller-manager"
    7. done
    • 启动服务前必须先创建工作目录;

    检查服务运行状态

    1. source /opt/k8s/bin/environment.sh
    2. for node_ip in ${NODE_IPS[@]}
    3. do
    4. echo ">>> ${node_ip}"
    5. ssh root@${node_ip} "systemctl status kube-controller-manager|grep Active"
    6. done

    kube-controller-manager 监听 10252 端口,接收 https 请求:

    1. $ sudo netstat -lnpt | grep kube-cont
    2. tcp 0 0 172.27.137.240:10252 0.0.0.0:* LISTEN 108977/kube-control

    查看输出的 metrics

    注意:以下命令在 kube-controller-manager 节点上执行。

    1. $ curl -s --cacert /opt/k8s/work/ca.pem --cert /opt/k8s/work/admin.pem --key /opt/k8s/work/admin-key.pem https://172.27.137.240:10252/metrics |head
    2. # HELP ClusterRoleAggregator_adds (Deprecated) Total number of adds handled by workqueue: ClusterRoleAggregator
    3. # TYPE ClusterRoleAggregator_adds counter
    4. ClusterRoleAggregator_adds 3
    5. # HELP ClusterRoleAggregator_depth (Deprecated) Current depth of workqueue: ClusterRoleAggregator
    6. # TYPE ClusterRoleAggregator_depth gauge
    7. ClusterRoleAggregator_depth 0
    8. # HELP ClusterRoleAggregator_longest_running_processor_microseconds (Deprecated) How many microseconds has the longest running processor for ClusterRoleAggregator been running.
    9. # TYPE ClusterRoleAggregator_longest_running_processor_microseconds gauge
    10. ClusterRoleAggregator_longest_running_processor_microseconds 0
    11. # HELP ClusterRoleAggregator_queue_latency (Deprecated) How long an item stays in workqueueClusterRoleAggregator before being requested.

    ClusteRole system:kube-controller-manager权限很小,只能创建 secret、serviceaccount 等资源对象,各 controller 的权限分散到 ClusterRole system:controller:XXX 中:

    1. Labels: kubernetes.io/bootstrapping=rbac-defaults
    2. Annotations: rbac.authorization.kubernetes.io/autoupdate: true
    3. PolicyRule:
    4. Resources Non-Resource URLs Resource Names Verbs
    5. --------- ----------------- -------------- -----
    6. secrets [] [] [create delete get update]
    7. endpoints [] [] [create get update]
    8. serviceaccounts [] [] [create get update]
    9. events [] [] [create patch update]
    10. tokenreviews.authentication.k8s.io [] [] [create]
    11. subjectaccessreviews.authorization.k8s.io [] [] [create]
    12. configmaps [] [] [get]
    13. namespaces [] [] [get]
    14. *.* [] [] [list watch]

    需要在 kube-controller-manager 的启动参数中添加 --use-service-account-credentials=true 参数,这样 main controller 会为各 controller 创建对应的 ServiceAccount XXX-controller。内置的 ClusterRoleBinding system:controller:XXX 将赋予各 XXX-controller ServiceAccount 对应的 ClusterRole system:controller:XXX 权限。

    1. $ kubectl get clusterrole|grep controller
    2. system:controller:attachdetach-controller 51m
    3. system:controller:certificate-controller 51m
    4. system:controller:clusterrole-aggregation-controller 51m
    5. system:controller:cronjob-controller 51m
    6. system:controller:daemon-set-controller 51m
    7. system:controller:deployment-controller 51m
    8. system:controller:disruption-controller 51m
    9. system:controller:endpoint-controller 51m
    10. system:controller:expand-controller 51m
    11. system:controller:generic-garbage-collector 51m
    12. system:controller:horizontal-pod-autoscaler 51m
    13. system:controller:job-controller 51m
    14. system:controller:namespace-controller 51m
    15. system:controller:node-controller 51m
    16. system:controller:persistent-volume-binder 51m
    17. system:controller:pod-garbage-collector 51m
    18. system:controller:pv-protection-controller 51m
    19. system:controller:pvc-protection-controller 51m
    20. system:controller:replicaset-controller 51m
    21. system:controller:replication-controller 51m
    22. system:controller:resourcequota-controller 51m
    23. system:controller:route-controller 51m
    24. system:controller:service-account-controller 51m
    25. system:controller:service-controller 51m
    26. system:controller:statefulset-controller 51m
    27. system:controller:ttl-controller 51m
    28. system:kube-controller-manager 51m

    以 deployment controller 为例:

    查看当前的 leader

    1. $ kubectl get endpoints kube-controller-manager --namespace=kube-system -o yaml
    2. apiVersion: v1
    3. kind: Endpoints
    4. metadata:
    5. annotations:
    6. control-plane.alpha.kubernetes.io/leader: '{"holderIdentity":"zhangjun-k8s01_6537b938-7f5a-11e9-8487-00220d338975","leaseDurationSeconds":15,"acquireTime":"2019-05-26T02:03:18Z","renewTime":"2019-05-26T02:06:08Z","leaderTransitions":1}'
    7. creationTimestamp: "2019-05-26T01:52:39Z"
    8. name: kube-controller-manager
    9. namespace: kube-system
    10. resourceVersion: "1965"
    11. uid: f1755fc5-7f58-11e9-b4c4-00220d338975

    测试 kube-controller-manager 集群的高可用

    停掉一个或两个节点的 kube-controller-manager 服务,观察其它节点的日志,看是否获取了 leader 权限。

    参考

    1. 关于 controller 权限和 use-service-account-credentials 参数:https://github.com/kubernetes/kubernetes/issues/48208