集群管理命令
etcdctl是一个命令行的客户端,它提供了一些命令,可以方便我们在对服务进行测试或者手动修改数据库内容。etcdctl命令基本用法如下所示:
etcdctl [global options] command [command options] [args...]
具体的命令选项参数可以通过 etcdctl command --help来获取相关帮助
环境变量
获得etcd数据库的访问url
[root@k8s-master ~]# kubectl -n kube-system get pods etcd-k8s-master -o yaml | grep -A10 "containers:" | grep "https://" - --advertise-client-urls=https://192.168.158.15:2379 - --initial-advertise-peer-urls=https://192.168.158.15:2380 - --initial-cluster=k8s-master=https://192.168.158.15:2380
如果遇到使用了TLS加密的集群,通常每条指令都需要指定证书路径和etcd节点地址,可以把相关命令行参数添加在环境变量中,在~/.bashrc添加以下内容:
[root@tiaoban etcd]# cat ~/.bashrc HOST_1=https://192.168.166.3:2379 ENDPOINTS=${HOST_1} # 如果需要使用原生命令,在命令开头加一个\ 例如:\etcdctl command alias etcdctl="etcdctl --cert /etc/kubernetes/pki/etcd/peer.crt --key /etc/kubernetes/pki/etcd/peer.key --endpoints=https://192.168.158.6:2379 --insecure-skip-tls-verify" [root@tiaoban etcd]# source ~/.bashrc查看etcd版本
[root@tiaoban etcd]# etcdctl version etcdctl version: 3.4.23 API version: 3.4
查看etcd集群节点信息
etcdctl member list -w table +------------------+---------+------------+----------------------------+----------------------------+------------+ | ID | STATUS | NAME | PEER ADDRS | CLIENT ADDRS | IS LEARNER | +------------------+---------+------------+----------------------------+----------------------------+------------+ | eba84a8571780cea | started | k8s-master | https://192.168.166.3:2380 | https://192.168.166.3:2379 | false | +------------------+---------+------------+----------------------------+----------------------------+------------+
查看集群健康状态
etcdctl endpoint status -w table +----------------------------+------------------+---------+---------+-----------+------------+-----------+------------+--------------------+--------+ | ENDPOINT | ID | VERSION | DB SIZE | IS LEADER | IS LEARNER | RAFT TERM | RAFT INDEX | RAFT APPLIED INDEX | ERRORS | +----------------------------+------------------+---------+---------+-----------+------------+-----------+------------+--------------------+--------+ | https://192.168.166.3:2379 | eba84a8571780cea | 3.5.15 | 7.1 MB | true | false | 4 | 15658 | 15658 | | +----------------------------+------------------+---------+---------+-----------+------------+-----------+------------+--------------------+--------+ ####表格内容解析 ENDPOINT:节点的地址,这里是 https://192.168.158.6:2379。这表示该节点的网络地址和端口。 ID:节点的唯一标识符,这里是 6dc5c9ae772d8898。 VERSION:节点的版本号,这里是 3.5.9。 DB SIZE:数据库大小,这里是 9.1 MB。 IS LEADER:是否为集群的领导者节点。true 表示该节点是领导者。 IS LEARNER:是否为学习者节点。false 表示该节点不是学习者节点。 RAFT TERM:Raft协议中的任期编号,这里是 4。Raft协议用于分布式系统的共识机制,任期编号用于区分不同的选举周期。 RAFT INDEX:Raft协议中的日志索引,这里是 30622。它表示当前日志的最新位置。 RAFT APPLIED INDEX:Raft协议中已应用的日志索引,这里是 30622。它表示已提交并应用到状态机的日志位置。 ERRORS:错误信息,这里为空,表示没有错误
查看告警事件
如果内部出现问题,会触发告警,可以通过命令查看告警引起原因,命令如下所示:
etcdctl alarm <subcommand> [flags]
常用的子命令主要有两个:
# 查看所有告警 etcdctl alarm list # 解除所有告警 etcdctl alarm disarm
添加成员(单节点部署的etcd无法直接扩容)(不用做)
当集群部署完成后,后续可能需要进行节点扩缩容,就可以使用member命令管理节点。先查看当前集群信息
[root@tiaoban etcd]# etcdctl endpoint status --cluster -w table +----------------------------+------------------+---------+---------+-----------+------------+-----------+------------+--------------------+--------+ | ENDPOINT | ID | VERSION | DB SIZE | IS LEADER | IS LEARNER | RAFT TERM | RAFT INDEX | RAFT APPLIED INDEX | ERRORS | +----------------------------+------------------+---------+---------+-----------+------------+-----------+------------+--------------------+--------+ | http://192.168.10.100:2379 | 2e0eda3ad6bc6e1e | 3.4.23 | 20 kB | true | false | 8 | 16 | 16 | | | http://192.168.10.12:2379 | 5d2c1bd3b22f796f | 3.4.23 | 20 kB | false | false | 8 | 16 | 16 | | | http://192.168.10.11:2379 | bc34c6bd673bdf9f | 3.4.23 | 20 kB | false | false | 8 | 16 | 16 | | +----------------------------+------------------+---------+---------+-----------+------------+-----------+------------+--------------------+--------+
在启动新的etcd节点前,先向etcd集群声明添加节点的peer-urls和节点名称
[root@tiaoban etcd]# etcdctl member add etcd4 --peer-urls=http://192.168.158.9:2380 Member b112a60ec305e42a added to cluster cd30cff36981306b ETCD_NAME="etcd4" ETCD_INITIAL_CLUSTER="etcd1=http://192.168.10.100:2380,etcd3=http://192.168.10.12:2380,etcd4=http://192.168.10.100:12380,etcd2=http://192.168.10.11:2380" ETCD_INITIAL_ADVERTISE_PEER_URLS="http://192.168.10.100:12380" ETCD_INITIAL_CLUSTER_STATE="existing"
接下来使用docker创建一个版本为3.4.23的etcd节点,运行在192.168.10.100上,使用host网络模式,endpoints地址为http://192.168.10.100:12379,节点名称为etcd4。
[root@tiaoban etcd]# mkdir -p /opt/docker/etcd/{conf,data} [root@tiaoban etcd]# chown -R 1001:1001 /opt/docker/etcd/data/ [root@tiaoban etcd]# cat /opt/docker/etcd/conf/etcd.conf # 节点名称 name: 'etcd4' # 指定节点的数据存储目录 />变更/var/lib/etcd
[root@k8s-01 kubernetes]# mv /var/lib/etcd /var/lib/etcd.bak [root@k8s-01 kubernetes]#
恢复etcd数据
[root@k8s-01 lib]# ETCDCTL_API=3 etcdctl --endpoints="https://127.0.0.1:2379" --cert="/etc/kubernetes/pki/etcd/server.crt" --key="/etc/kubernetes/pki/etcd/server.key" --cacert="/etc/kubernetes/pki/etcd/ca.crt" snapshot restore /opt/etcd-back/snap.db --data-dir=/var/lib/etcd/
启动etcd和apiserver,查看pods
[root@k8s-01 lib]# cd /etc/kubernetes/ [root@k8s-01 kubernetes]# mv manifests-backup manifests [root@k8s-01 kubernetes]# kubectl get pods NAME READY STATUS RESTARTS AGE nfs-client-provisioner-69b76b8dc6-6l8xs 1/1 Running 12 (2m25s ago) 4h48m [root@k8s-01 ~]# kubectl get pods -n kube-system NAME READY STATUS RESTARTS AGE calico-kube-controllers-65898446b5-t2mqq 1/1 Running 11 (16h ago) 21h calico-node-8md6b 1/1 Running 0 21h calico-node-9457b 1/1 Running 0 21h calico-node-nxs2w 1/1 Running 0 21h calico-node-p7d52 1/1 Running 0 21h coredns-7f6cbbb7b8-g84gl 1/1 Running 0 22h coredns-7f6cbbb7b8-j9q4q 1/1 Running 0 22h etcd-k8s-01 1/1 Running 0 22h kube-apiserver-k8s-01 1/1 Running 0 22h kube-controller-manager-k8s-01 1/1 Running 0 22h kube-proxy-49b8g 1/1 Running 0 22h kube-proxy-8wh5l 1/1 Running 0 22h kube-proxy-b6lqq 1/1 Running 0 22h kube-proxy-tldpv 1/1 Running 0 22h kube-scheduler-k8s-01 1/1 Running 0 22h [root@k8s-01 ~]#
由于3个nginx是备份之后启动的,所以恢复后都不存在了。
多master集群
环境准备:kubeadm安装的二主二从
[root@k8s-01 ~]# kubectl get nodes NAME STATUS ROLES AGE VERSION k8s-01 Ready control-plane,master 16h v1.22.3 k8s-02 Ready control-plane,master 16h v1.22.3 k8s-03 Ready <none> 16h v1.22.3 k8s-04 Ready <none> 16h v1.22.3 [root@k8s-01 etcd-v3.5.4-linux-amd64]# ETCDCTL_API=3 etcdctl --endpoints=https://192.168.1.123:2379,https://192.168.1.124:2379 --cacert=/etc/kubernetes/pki/etcd/ca.crt --cert=/etc/kubernetes/pki/etcd/peer.crt --key=/etc/kubernetes/pki/etcd/peer.key member list 58915ab47aed1957, started, k8s-02, https://192.168.1.124:2380, https://192.168.1.124:2379, false c48307bcc0ac155e, started, k8s-01, https://192.168.1.123:2380, https://192.168.1.123:2379, false [root@k8s-01 etcd-v3.5.4-linux-amd64]#
2台master都需要备份:
[root@k8s-01 ~]# ETCDCTL_API=3 etcdctl --endpoints="https://127.0.0.1:2379" --cacert=/etc/kubernetes/pki/etcd/ca.crt --cert=/etc/kubernetes/pki/etcd/peer.crt --key=/etc/kubernetes/pki/etcd/peer.key snapshot save /snap-$(date +%Y%m%d%H%M).db [root@k8s-02 ~]# ETCDCTL_API=3 etcdctl --endpoints="https://127.0.0.1:2379" --cacert=/etc/kubernetes/pki/etcd/ca.crt --cert=/etc/kubernetes/pki/etcd/peer.crt --key=/etc/kubernetes/pki/etcd/peer.key snapshot save /snap-$(date +%Y%m%d%H%M).db
2.创建3个测试pod
[root@k8s-01 ~]# kubectl get pods NAME READY STATUS RESTARTS AGE nginx-6799fc88d8-2x6gw 1/1 Running 0 4m22s nginx-6799fc88d8-82mjz 1/1 Running 0 4m22s nginx-6799fc88d8-sbb6n 1/1 Running 0 4m22s tomcat-7d987c7694-552v2 1/1 Running 0 2m8s [root@k8s-01 ~]#
3.停掉Master机器的kube-apiserver和etcd
[root@k8s-01 kubernetes]# mv /etc/kubernetes/manifests/ /etc/kubernetes/manifests-backup/ [root@k8s-02 kubernetes]# mv /etc/kubernetes/manifests/ /etc/kubernetes/manifests-backup/
4.变更/var/lib/etcd
[root@k8s-01 kubernetes]# mv /var/lib/etcd /var/lib/etcd.bak [root@k8s-02 kubernetes]# mv /var/lib/etcd /var/lib/etcd.bak
5.恢复etcd数据,etcd集群用同一份snapshot恢复;
[root@k8s-01 /]# ETCDCTL_API=3 etcdctl snapshot restore /snap-202207182330.db --endpoints=192.168.1.123:2379 --name=k8s-01 --cacert=/etc/kubernetes/pki/etcd/ca.crt --cert=/etc/kubernetes/pki/etcd/peer.crt --key=/etc/kubernetes/pki/etcd/peer.key --initial-advertise-peer-urls=https://192.168.1.123:2380 --initial-cluster-token=etcd-cluster-0 --initial-cluster=k8s-01=https://192.168.1.123:2380,k8s-02=https://192.168.1.124:2380 --data-dir=/var/lib/etcd [root@k8s-01 /]# scp snap-202207182330.db root@192.168.1.124:/ root@192.168.1.124's password: snap-202207182330.db 100% 4780KB 45.8MB/s 00:00 [root@k8s-02 /]# ETCDCTL_API=3 etcdctl snapshot restore /snap-202207182330.db --endpoints=192.168.1.124:2379 --name=k8s-02 --cacert=/etc/kubernetes/pki/etcd/ca.crt --cert=/etc/kubernetes/pki/etcd/peer.crt --key=/etc/kubernetes/pki/etcd/peer.key --initial-advertise-peer-urls=https://192.168.1.124:2380 --initial-cluster-token=etcd-cluster-0 --initial-cluster=k8s-01=https://192.168.1.123:2380,k8s-02=https://192.168.1.124:2380 --data-dir=/var/lib/etcd
6.master节点上启动etcd和apiserver,查看pods 6.master节点上启动etcd和apiserver,查看pods
[root@k8s-01 lib]# cd /etc/kubernetes/ [root@k8s-01 kubernetes]# mv manifests-backup manifests [root@k8s-02 lib]# cd /etc/kubernetes/ [root@k8s-02 kubernetes]# mv manifests-backup manifests [root@k8s-01 lib]# kubectl get pods ###发现无法看到后创建的pod信息 [root@k8s-01 ~]# kubectl get pods -n kube-system NAME READY STATUS RESTARTS AGE calico-kube-controllers-65898446b5-drjjj 1/1 Running 10 (16h ago) 16h calico-node-9s7p2 1/1 Running 0 16h calico-node-fnbj4 1/1 Running 0 16h calico-node-nx6q6 1/1 Running 0 16h calico-node-qcffj 1/1 Running 0 16h coredns-7f6cbbb7b8-mn9hj 1/1 Running 0 16h coredns-7f6cbbb7b8-nrwbf 1/1 Running 0 16h etcd-k8s-01 1/1 Running 1 16h etcd-k8s-02 1/1 Running 0 16h kube-apiserver-k8s-01 1/1 Running 2 (16h ago) 16h kube-apiserver-k8s-02 1/1 Running 0 16h kube-controller-manager-k8s-01 1/1 Running 2 16h kube-controller-manager-k8s-02 1/1 Running 0 16h kube-proxy-d824j 1/1 Running 0 16h kube-proxy-k5gw4 1/1 Running 0 16h kube-proxy-mxmhp 1/1 Running 0 16h kube-proxy-nvpf4 1/1 Running 0 16h kube-scheduler-k8s-01 1/1 Running 1 16h kube-scheduler-k8s-02 1/1 Running 0 16h [root@k8s-01 ~]#
Kubernetes集群升级指南
前言
本文演示kubernetes集群从v1.24.1升级到v1.29.15。
一、集群升级过程辅助命令
(1)查看节点上运行的pod。
kubectl get pod -o wide |grep <nodename>
(2)查看集群配置文件。
kubectl -n kube-system get cm kubeadm-config -o yaml
(3)查看当前集群节点。
kubectl get node
二、升级master节点
2.1、升级kubeadm。
# 更新包管理器 yum update # 查看可用版本 apt-cache madison kubeadm yum list | grep kubeadm # 更新 yum update -y kubeadm # 验证版本 kubeadm version
2.2、验证升级计划
(1)检查可升级到哪些版本,并验证你当前的集群是否可升级。
kubeadm upgrade plan
[upgrade/config] Making sure the configuration is correct: [upgrade/config] Reading configuration from the cluster... [upgrade/config] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml' [preflight] Running pre-flight checks. [upgrade] Running cluster health checks [upgrade] Fetching available versions to upgrade to [upgrade/versions] Cluster version: v1.28.15 [upgrade/versions] kubeadm version: v1.29.15 I0327 11:28:43.151508 1125701 version.go:256] remote version is much newer: v1.32.3; falling back to: stable-1.29 [upgrade/versions] Target version: v1.29.15 [upgrade/versions] Latest version in the v1.28 series: v1.28.15 Components that must be upgraded manually after you have upgraded the control plane with 'kubeadm upgrade apply': COMPONENT CURRENT TARGET kubelet 3 x v1.28.15 v1.29.15 Upgrade to the latest stable version: COMPONENT CURRENT TARGET kube-apiserver v1.28.15 v1.29.15 kube-controller-manager v1.28.15 v1.29.15 kube-scheduler v1.28.15 v1.29.15 kube-proxy v1.28.15 v1.29.15 CoreDNS v1.10.1 v1.11.1 etcd 3.5.15-0 3.5.16-0 You can now apply the upgrade by executing the following command: kubeadm upgrade apply v1.29.15 _____________________________________________________________________ The table below shows the current state of component configs as understood by this version of kubeadm. Configs that have a "yes" mark in the "MANUAL UPGRADE REQUIRED" column require manual config upgrade or resetting to kubeadm defaults before a successful upgrade can be performed. The version to manually upgrade to is denoted in the "PREFERRED VERSION" column. API GROUP CURRENT VERSION PREFERRED VERSION MANUAL UPGRADE REQUIRED kubeproxy.config.k8s.io v1alpha1 v1alpha1 no kubelet.config.k8s.io v1beta1 v1beta1 no _____________________________________________________________________
注意下面的MANUAL字段:
The table below shows the current state of component configs as understood by this version of kubeadm. Configs that have a "yes" mark in the "MANUAL UPGRADE REQUIRED" column require manual config upgrade or resetting to kubeadm defaults before a successful upgrade can be performed. The version to manually upgrade to is denoted in the "PREFERRED VERSION" column. API GROUP CURRENT VERSION PREFERRED VERSION MANUAL UPGRADE REQUIRED kubeproxy.config.k8s.io v1alpha1 v1alpha1 no kubelet.config.k8s.io v1beta1 v1beta1 no _____________________________________________________________________
指示哪些主键需要手动升级,如果是yes就要手动升级。
(2)显示哪些差异将被应用于现有的静态 pod 资源清单。
kubeadm upgrade diff 1.29.15
[upgrade/diff] Reading configuration from the cluster... [upgrade/diff] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml' --- /etc/kubernetes/manifests/kube-apiserver.yaml +++ new manifest @@ -40,7 +40,7 @@ - --service-cluster-ip-range=10.96.0.0/12 - --tls-cert-file=/etc/kubernetes/pki/apiserver.crt - --tls-private-key-file=/etc/kubernetes/pki/apiserver.key - image: registry.aliyuncs.com/google_containers/kube-apiserver:v1.28.15 + image: registry.aliyuncs.com/google_containers/kube-apiserver:1.29.15 imagePullPolicy: IfNotPresent livenessProbe: failureThreshold: 8 --- /etc/kubernetes/manifests/kube-controller-manager.yaml +++ new manifest @@ -28,7 +28,7 @@ - --service-account-private-key-file=/etc/kubernetes/pki/sa.key - --service-cluster-ip-range=10.96.0.0/12 - --use-service-account-credentials=true - image: registry.aliyuncs.com/google_containers/kube-controller-manager:v1.28.15 + image: registry.aliyuncs.com/google_containers/kube-controller-manager:1.29.15 imagePullPolicy: IfNotPresent livenessProbe: failureThreshold: 8 --- /etc/kubernetes/manifests/kube-scheduler.yaml +++ new manifest @@ -16,7 +16,7 @@ - --bind-address=127.0.0.1 - --kubeconfig=/etc/kubernetes/scheduler.conf - --leader-elect=true - image: registry.aliyuncs.com/google_containers/kube-scheduler:v1.28.15 + image: registry.aliyuncs.com/google_containers/kube-scheduler:1.29.15 imagePullPolicy: IfNotPresent livenessProbe: failureThreshold: 8
2.3、master节点升级
(1)升级到 1.29.15版本,此命令仅升级master节点(control plane)。
kubeadm upgrade apply v1.29.15
[upgrade/config] Making sure the configuration is correct: [upgrade/config] Reading configuration from the cluster... [upgrade/config] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml' [preflight] Running pre-flight checks. [upgrade] Running cluster health checks [upgrade/version] You have chosen to change the cluster version to "v1.29.15" [upgrade/versions] Cluster version: v1.28.15 [upgrade/versions] kubeadm version: v1.29.15 [upgrade] Are you sure you want to proceed? [y/N]: y [upgrade/prepull] Pulling images required for setting up a Kubernetes cluster [upgrade/prepull] This might take a minute or two, depending on the speed of your internet connection [upgrade/prepull] You can also perform this action in beforehand using 'kubeadm config images pull' [upgrade/apply] Upgrading your Static Pod-hosted control plane to version "v1.29.15" (timeout: 5m0s)... [upgrade/etcd] Upgrading to TLS for etcd [upgrade/staticpods] Preparing for "etcd" upgrade [upgrade/staticpods] Renewing etcd-server certificate [upgrade/staticpods] Renewing etcd-peer certificate [upgrade/staticpods] Renewing etcd-healthcheck-client certificate [upgrade/staticpods] Moved new manifest to "/etc/kubernetes/manifests/etcd.yaml" and backed up old manifest to "/etc/kubernetes/tmp/kubeadm-backup-manifests-2025-03-27-11-32-38/etcd.yaml" [upgrade/staticpods] Waiting for the kubelet to restart the component [upgrade/staticpods] This might take a minute or longer depending on the component/version gap (timeout 5m0s) [apiclient] Found 1 Pods for label selector component=etcd [upgrade/staticpods] Component "etcd" upgraded successfully! [upgrade/etcd] Waiting for etcd to become available [upgrade/staticpods] Writing new Static Pod manifests to "/etc/kubernetes/tmp/kubeadm-upgraded-manifests2230279311" [upgrade/staticpods] Preparing for "kube-apiserver" upgrade [upgrade/staticpods] Renewing apiserver certificate [upgrade/staticpods] Renewing apiserver-kubelet-client certificate [upgrade/staticpods] Renewing front-proxy-client certificate [upgrade/staticpods] Renewing apiserver-etcd-client certificate [upgrade/staticpods] Moved new manifest to "/etc/kubernetes/manifests/kube-apiserver.yaml" and backed up old manifest to "/etc/kubernetes/tmp/kubeadm-backup-manifests-2025-03-27-11-32-38/kube-apiserver.yaml" [upgrade/staticpods] Waiting for the kubelet to restart the component [upgrade/staticpods] This might take a minute or longer depending on the component/version gap (timeout 5m0s) [apiclient] Found 1 Pods for label selector component=kube-apiserver [upgrade/staticpods] Component "kube-apiserver" upgraded successfully! [upgrade/staticpods] Preparing for "kube-controller-manager" upgrade [upgrade/staticpods] Renewing controller-manager.conf certificate [upgrade/staticpods] Moved new manifest to "/etc/kubernetes/manifests/kube-controller-manager.yaml" and backed up old manifest to "/etc/kubernetes/tmp/kubeadm-backup-manifests-2025-03-27-11-32-38/kube-controller-manager.yaml" [upgrade/staticpods] Waiting for the kubelet to restart the component [upgrade/staticpods] This might take a minute or longer depending on the component/version gap (timeout 5m0s) [apiclient] Found 1 Pods for label selector component=kube-controller-manager [upgrade/staticpods] Component "kube-controller-manager" upgraded successfully! [upgrade/staticpods] Preparing for "kube-scheduler" upgrade [upgrade/staticpods] Renewing scheduler.conf certificate [upgrade/staticpods] Moved new manifest to "/etc/kubernetes/manifests/kube-scheduler.yaml" and backed up old manifest to "/etc/kubernetes/tmp/kubeadm-backup-manifests-2025-03-27-11-32-38/kube-scheduler.yaml" [upgrade/staticpods] Waiting for the kubelet to restart the component [upgrade/staticpods] This might take a minute or longer depending on the component/version gap (timeout 5m0s) [apiclient] Found 1 Pods for label selector component=kube-scheduler [upgrade/staticpods] Component "kube-scheduler" upgraded successfully! [upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace [kubelet] Creating a ConfigMap "kubelet-config" in namespace kube-system with the configuration for the kubelets in the cluster [upgrade] Backing up kubelet config file to /etc/kubernetes/tmp/kubeadm-kubelet-config3777955110/config.yaml [kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml" [kubeconfig] Writing "admin.conf" kubeconfig file [kubeconfig] Writing "super-admin.conf" kubeconfig file [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 [addons] Applied essential addon: CoreDNS [addons] Applied essential addon: kube-proxy [upgrade/successful] SUCCESS! Your cluster was upgraded to "v1.29.15". Enjoy! [upgrade/kubelet] Now that your control plane is upgraded, please proceed with upgrading your kubelets if you haven't already done so.
(2) 腾空节点,即将节点上除守护进程之外的其他进程调度到其他节点,同时将开启调度保护。
kubectl drain <nodename> --ignore-daemonsets
$ kubectl drain k8s-master1 --ignore-daemonsets node/k8s-master1 cordoned WARNING: ignoring DaemonSet-managed Pods: kube-flannel/kube-flannel-ds-nxz4d, kube-system/kube-proxy-pbnk4 evicting pod kube-system/coredns-c676cc86f-twm96 evicting pod kube-system/coredns-c676cc86f-mdgbn pod/coredns-c676cc86f-mdgbn evicted pod/coredns-c676cc86f-twm96 evicted node/k8s-master1 drained $ kubectl get pod -A NAMESPACE NAME READY STATUS RESTARTS AGE kube-flannel kube-flannel-ds-nxz4d 1/1 Running 0 136m kube-system coredns-c676cc86f-7stvs 0/1 Pending 0 60s kube-system coredns-c676cc86f-vmkgv 0/1 Pending 0 60s kube-system etcd-k8s-master1 1/1 Running 0 11m kube-system kube-apiserver-k8s-master1 1/1 Running 0 10m kube-system kube-controller-manager-k8s-master1 1/1 Running 0 10m kube-system kube-proxy-pbnk4 1/1 Running 0 9m44s kube-system kube-scheduler-k8s-master1 1/1 Running 0 9m58s $ kubectl get node NAME STATUS ROLES AGE VERSION k8s-master1 Ready,SchedulingDisabled control-plane 162m v1.24.1
(3)升级kubelet与kubectl组件。
yum update -y kubelet
(4)重启 kubelet。
systemctl daemon-reload systemctl restart kubelet
(5)解除调度保护。
kubectl uncordon <nodename>
三、升级node节点
(1)升级节点kubelet 配置。
kubeadm upgrade node
(2)腾空节点,同时开启调度保护,此命令请在master节点操作
kubectl drain <nodename> --ignore-daemonsets
(3)升级kubelet与kubectl组件。
yum update -y kubelet
(4)重启 kubelet。
systemctl daemon-reload systemctl restart kubelet
(5)解除调度保护,master节点上执行该命令。
kubectl uncordon <nodename>
总结
每个版本的升级都不一样,所以要根据版本进行适当调整,不作为万能指导。 升级过程:
升级master组件。
升级worker节点组件,调度保护、排空节点、worker节点组件升级、解除保护。
Kubernetes集群的升级可以分为以下几个步骤:
备份数据。在升级之前,需要备份Kubernetes集群的数据,包括访问控制、配置文件、数据卷等。
选择升级方式。Kubernetes集群的升级方式可以分为两种:滚动升级和强制替换。滚动升级是指逐个升级每个节点,直到所有节点都升级完成。强制替换是指一次性替换所有节点,将旧节点直接替换为新节点。
准备新版本。Kubernetes升级需要准备新版本的二进制文件和镜像文件。可以从Kubernetes官方网站下载最新版本的二进制文件和镜像文件,并上传到集群中的节点上。
升级Master节点。首先需要升级Master节点,使用新版本的二进制文件替换旧版本的二进制文件,并启动新版本的Kubernetes API Server、ControllerKubernetes是一个快速发展的开源项目,为了保持其功能和安全性,集群的升级是必须的。
查看升级文档:首先需要查看官方的升级文档,了解升级过程中需要注意的事项。
备份数据:在升级前需要备份当前的数据,以防升级过程中的意外情况导致数据丢失。
准备好备份:在升级前需要确保备份的可用性,以便在需要时能够 Manager和Scheduler。
升级Node节点。接下来需要升级Node节点。首先需要将节点上的Kubelet和kube-proxy服务停止,使用新版本的二进制文件替换旧版本的二进制文件,然后启动新版本的Kubelet和kube-proxy服务。
验证升级结果。升级完成后,需要验证恢复数据。
升级前的测试:可以在测试环境中进行升级测试,以确保升级过程和升级后的集群正常运行。
升级Node:首先需要升级每个Node节点中的Kubernetes组件,包括kubelet和kube-proxy等。
升级Control Plane:然后需要升级Control Plane中的Kubernetes组件,包括kube-apiserver、kube-controller-manager和kube-scheduler等。
升级Kubernetes对象:升级完Control Plane后,需要升级Kubernetes对象,如Deployment集群是否正常运行。可以使用kubectl命令查看集群的状态和资源对象的状态,确保所有的服务都能够正常访问。
回滚升级。如果升级失败或出现问题,可以回滚到之前的版本。回滚的过程与升级的过程相同,只需要使用旧版本的二进制文件和镜像文件即可。
Kubernetes集群的升级需要仔细规划和准备,并按照一定的步骤进行操作。只有在备份数据、选择适当的升级方式、准备新版本、升级Master节点、升级Node节点、验证升级结果等步骤都完成后,才能确保集群的升级成功。、StatefulSet等。
升级后的检查:
验证集群状态:升级后需要验证集群的状态,包括Node节点的状态、Pod的状态、Service的状态等。
验证应用程序:升级后需要验证应用程序的运行状态,确保应用程序正常运行。
观察日志:如果发现问题,可以通过查看日志来排查问题原因。
Kubernetes集群升级是一个需要谨慎处理的过程,需要充分准备和测试,以确保升级过程的顺利和集群的稳定。在升级过程中,需要注意备份数据和备份的可用性,升级顺序和升级后的检查等问题,以确保集群的正常运行和应用程序的稳定性。