一文教会你,如何通过kubeadm,在生产环境部署K8S高可用集群(一)

简介: 一文教会你,如何通过kubeadm,在生产环境部署K8S高可用集群(一)

使用kubeadm安装K8S

我们都知道,k8s中有三位大哥:kubelet, kubeadm, kubectl.

其中:

kubelet是服务,用来调用下层的container管理器,从而对底层容器进行管理。

kubectl是API,供我们调用,键入命令对k8s资源进行管理。

kubeadm是管理器,我们可以使用它进行k8s节点的管理。

今天,我们就基于kubeadm来详细讲讲怎么部署高可用K8S集群

1.基本环境配置

高可用架构:

使用五台机器:

10.10.0.220 master01

10.10.0.221 master02

10.10.0.223 master03

10.10.0.224 node01

10.10.0.225 node02

etcd和master部署到一块的,生产环境如果master配置够高的话,也可以部署到一块

机器规模比较大的话,还是分开安装比较好,master一般部署三个节点以上

etcd只跟apiserver交互,跟其他组件都不交互

VIP不占系统资源,随着master漂移

1、先修改每台机子的hosts文件

[root@node02 ~ ]# vim /etc/hosts

127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4

::1 localhost localhost.localdomain localhost6 localhost6.localdomain6

10.10.0.220 master01

10.10.0.221 master02

10.10.0.223 master03

10.10.0.224 node01

10.10.0.225 node02

10.10.0.10 master-lb

2、关闭selinux,firewalld,虚拟内存

3、时间同步

安装ntpdate:

[root@master01 ~ ]# yum install -y ntpdate

[root@master01 ~ ]# systemctl enable ntpdate.service --now

4、必备工具安装

yum install wget jq psmisc vim net-tools telnet yum-utils device-mapper-persistent-data lvm2 git -y

所有节点配置limit:

ulimit -SHn 65535

将如下代码加入内核限制文件/etc/security/limits.conf的末尾:

soft noproc 65535

hard noproc 65535

soft nofile 65535

hard nofile 65535

5、配置免密

Master01节点免密钥登录其他节点,安装过程中生成配置文件和证书均在Master01上操作,集群管理也在Master01上操作

[root@master01 ~ ]# ssh-keygen -t rsa

[root@master01 ~ ]# for i in master02 master03 node01 node02; do ssh-copy-id -i .ssh/id_rsa.pub $i;done

所有节点安装ipvsadm: 使用ipvs流量调度模式

yum install ipvsadm ipset sysstat conntrack libseccomp -y

所有节点配置ipvs模块,在内核4.19+版本nf_conntrack_ipv4已经改为nf_conntrack, 4.18以下使用nf_conntrack_ipv4即可:

modprobe – ip_vs

modprobe – ip_vs_rr

modprobe – ip_vs_wrr

modprobe – ip_vs_sh

modprobe – nf_conntrack

[root@master01 ~ ]# vim /etc/modules-load.d/ipvs.conf

ip_vs

ip_vs_lc

ip_vs_wlc

ip_vs_rr

ip_vs_wrr

ip_vs_lblc

ip_vs_lblcr

ip_vs_dh

ip_vs_sh

ip_vs_fo

ip_vs_nq

ip_vs_sed

ip_vs_ftp

ip_vs_sh

nf_conntrack

ip_tables

ip_set

xt_set

ipt_set

ipt_rpfilter

ipt_REJECT

ipip

然后执行systemctl enable --now systemd-modules-load.service即可

内核参数修改:br_netfilter模块用于将桥接流量转发至iptables链,br_netfilter内核参数需要开启转发。

[root@master01 ~]# modprobe br_netfilter

6、配置内核参数

开启一些k8s集群中必须的内核参数,所有节点配置k8s内核:

cat < /etc/sysctl.d/k8s.conf

net.ipv4.ip_forward = 1

net.bridge.bridge-nf-call-iptables = 1

net.bridge.bridge-nf-call-ip6tables = 1

fs.may_detach_mounts = 1

net.ipv4.conf.all.route_localnet = 1

vm.overcommit_memory=1

vm.panic_on_oom=0

fs.inotify.max_user_watches=89100

fs.file-max=52706963

fs.nr_open=52706963

net.netfilter.nf_conntrack_max=2310720


net.ipv4.tcp_keepalive_time = 600

net.ipv4.tcp_keepalive_probes = 3

net.ipv4.tcp_keepalive_intvl =15

net.ipv4.tcp_max_tw_buckets = 36000

net.ipv4.tcp_tw_reuse = 1

net.ipv4.tcp_max_orphans = 327680

net.ipv4.tcp_orphan_retries = 3

net.ipv4.tcp_syncookies = 1

net.ipv4.tcp_max_syn_backlog = 16384

net.ipv4.ip_conntrack_max = 65536

net.ipv4.tcp_max_syn_backlog = 16384

net.ipv4.tcp_timestamps = 0

net.core.somaxconn = 16384

EOF

sysctl --system

所有节点配置完内核后,重启服务器,保证重启后内核依旧加载

reboot

lsmod | grep --color=auto -e ip_vs -e nf_conntrack

[root@master01 ~ ]# lsmod | grep --color=auto -e ip_vs -e nf_conntrack

ip_vs_ftp 16384 0

nf_nat 32768 1 ip_vs_ftp

ip_vs_sed 16384 0

ip_vs_nq 16384 0

ip_vs_fo 16384 0

ip_vs_sh 16384 0

ip_vs_dh 16384 0

ip_vs_lblcr 16384 0

ip_vs_lblc 16384 0

ip_vs_wrr 16384 0

ip_vs_rr 16384 0

ip_vs_wlc 16384 0

ip_vs_lc 16384 0

ip_vs 151552 24 ip_vs_wlc,ip_vs_rr,ip_vs_dh,ip_vs_lblcr,ip_vs_sh,ip_vs_fo,ip_vs_nq,ip_vs_lblc,ip_vs_wrr,ip_vs_lc,ip_vs_sed,ip_vs_ftp

nf_conntrack 143360 2 nf_nat,ip_vs

nf_defrag_ipv6 20480 1 nf_conntrack

nf_defrag_ipv4 16384 1 nf_conntrack

libcrc32c 16384 4 nf_conntrack,nf_nat,xfs,ip_vs

2.基本组件安装

1、安装docker,kubernetes组件

阿里源安装docker-ce docker-cli Kubernetes各组件等

关闭检查:

[root@master01 yum.repos.d ]# vim kubernetes.repo

[kubernetes]

name=Kubernetes

baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/

enabled=1

gpgcheck=0

repo_gpgcheck=0

gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg

2、安装k8s组件

yum list kubeadm.x86_64 --showduplicates | sort -r

所有节点安装1.21版本kubeadm:安装kubeadm的时会把kubelet和kubectl一块安装 最新版初始化会出问题

yum install kubeadm-1.21* kubelet-1.21* kubectl-1.21* -y

3、配置docker镜像加速

[root@master01 ~ ]# cat /etc/docker/daemon.json

{

“registry-mirrors”: [“http://abcd1234.m.daocloud.io”],

“exec-opts”: [“native.cgroupdriver=systemd”]

}

默认配置的pause镜像使用gcr.io仓库,国内可能无法访问,所以这里配置Kubelet使用阿里云的pause镜像:

[root@node02 ~ ]# DOCKER_CGROUPS=(docker info |grep Cgroup|head -n1|awk ‘{print(docker info |grep Cgroup|head -n1|awk ‘{print(docker info |grep Cgroup|head -n1|awk ‘{print 3}’)

cat >/etc/sysconfig/kubelet<

KUBELET_EXTRA_ARGS=“–cgroup-driver=systemd --pod-infra-container-image=registry.cn-hangzhou.aliyuncs.com/google_containers/pause-amd64:3.1”

EOF

4、设置Kubelet开机自启动

systemctl daemon-reload

systemctl enable --now kubelet

[root@master01 ~ ]# systemctl daemon-reload

[root@master01 ~ ]# systemctl enable kubelet.service --now

Created symlink from /etc/systemd/system/multi-user.target.wants/kubelet.service to /usr/lib/systemd/system/kubelet.service.

3.高可用组件安装

高可用组件:

10.10.0.220 10.10.0.221 10.10.0.223

所有Master节点通过yum安装nginx和KeepAlived:

检测端口脚本:

[root@jh-221 keepalived ]# cat check_port.sh

#!/bin/bash

#keepalived 监控端口脚本

#使用方法:

#在keepalived的配置文件中

#vrrp_script check_port {#创建一个vrrp_script脚本,检查配置

#    script "/etc/keepalived/check_port.sh 6379" #配置监听的端口
#    interval 2 #检查脚本的频率,单位(秒)
#}
CHK_PORT=$1
if [ -n "$CHK_PORT" ];then
        PORT_PROCESS=`ss -lnt|grep $CHK_PORT|wc -l`
        if [ $PORT_PROCESS -eq 0 ];then
                echo "Port $CHK_PORT Is Not Used,End."
                exit 1
        fi
else
        echo "Check Port Canot Be Empty!"
fi

加上执行权限

[root@master01 keepalived ]# chmod +x /etc/keepalived/check_port.sh

yum install keepalived nginx -y

所有Master节点配置nginx(详细配置参考nginx文档,所有Master节点的nginx配置相同):

http模块下添加

[root@master01 ~ ]# cat /etc/nginx/nginx.conf

stream {

upstream jinghao {

server 10.10.0.220:6443 max_fails=3 fail_timeout=30s;

server 10.10.0.221:6443 max_fails=3 fail_timeout=30s;

server 10.10.0.223:6443 max_fails=3 fail_timeout=30s;

}

server {

listen 7443;

proxy_connect_timeout 2s;

proxy_timeout 900s;

proxy_pass jinghao;

}

}

所有Master节点配置KeepAlived,配置不一样,注意区分 公有云不支持keepalived

Master01节点的配置

[root@master01 keepalived ]# cat keepalived.conf

! Configuration File for keepalived

global_defs {

router_id 10.10.0.220

}

vrrp_script chk_nginx {

script “/etc/keepalived/check_port.sh 7443”

interval 2

weight -20

}

vrrp_instance VI_1 {

state MASTER

interface ens33

virtual_router_id 251 #如果机器上有其他keepalived,该id不能出现重复

priority 100

advert_int 1

mcast_src_ip 10.10.0.220

nopreempt

authentication {
    auth_type PASS
    auth_pass 11111111
}
track_script {
     chk_nginx
}
virtual_ipaddress {
    10.10.0.100
}

}

Master02节点的配置:

[root@master02 keepalived ]# cat keepalived.conf

! Configuration File for keepalived

global_defs {

router_id 10.10.0.221

}

vrrp_script chk_nginx {

script “/etc/keepalived/check_port.sh 7443”

interval 2

weight -20

}

vrrp_instance VI_1 {

state BACKUP

interface ens33

virtual_router_id 251

priority 90

advert_int 1

mcast_src_ip 10.10.0.221

authentication {
    auth_type PASS
    auth_pass 11111111
}
track_script {
     chk_nginx
}
virtual_ipaddress {
    10.10.0.100
}

}

Master03节点的配置:

[root@master03 ~ ]# cat /etc/keepalived/keepalived.conf

! Configuration File for keepalived

global_defs {

router_id 10.10.0.223

}

vrrp_script chk_nginx {

script “/etc/keepalived/check_port.sh 7443”

interval 2

weight -20

}

vrrp_instance VI_1 {

state BACKUP

interface ens33

virtual_router_id 251

priority 90

advert_int 1mcast_src_ip 10.10.0.223

authentication {
    auth_type PASS
    auth_pass 11111111
}
track_script {
     chk_nginx
}
virtual_ipaddress {
    10.10.0.100
}

}

[root@master03 keepalived ]# ping 10.10.0.100

PING 10.10.0.100 (10.10.0.100) 56(84) bytes of data.

64 bytes from 10.10.0.100: icmp_seq=1 ttl=64 time=7.31 ms

64 bytes from 10.10.0.100: icmp_seq=2 ttl=64 time=0.546 ms

^C

— 10.10.0.100 ping statistics —

2 packets transmitted, 2 received, 0% packet loss, time 1002ms

rtt min/avg/max/mdev = 0.546/3.930/7.315/3.385 ms

4.集群初始化

以下操作只在master01节点执行

Master01节点创建kubeadm-config.yaml配置文件如下:

获取kubeadm默认配置文件并修改:

kubeadm config print init-defaults > kubeadm-init.yaml

[root@master01 ~ ]# cat kubeadm-init.yaml

apiVersion: kubeadm.k8s.io/v1beta3

bootstrapTokens:

groups:

system:bootstrappers:kubeadm:default-node-token

token: abcdef.0123456789abcdef

ttl: 24h0m0s

usages:

signing

authentication

kind: InitConfiguration

localAPIEndpoint:

advertiseAddress: 10.10.0.220 本机ip

bindPort: 6443

nodeRegistration:

criSocket: unix:///var/run/containerd/containerd.sock

imagePullPolicy: IfNotPresent

name: master01

taints:

effect: NoSchedule

key: node-role.kubernetes.io/master

apiServer:

timeoutForControlPlane: 4m0s

apiVersion: kubeadm.k8s.io/v1beta3

certificatesDir: /etc/kubernetes/pki

clusterName: kubernetes

controlPlaneEndpoint: 10.10.0.10:7443 虚VIP和端口

controllerManager: {}

dns:

type: CoreDNS

etcd:

local:

dataDir: /var/lib/etcd

imageRepository: registry.aliyuncs.com/google_containers #指定国内镜像仓库地址

kind: ClusterConfiguration

kubernetesVersion: 1.24.2 指定版本

networking:

dnsDomain: cluster.local

podSubnet: 172.16.0.0/12 #指定创建pod的IP地址范围

serviceSubnet: 192.168.0.0/16 #指定创建service的IP地址范围

scheduler: {}

镜像源imageRepository改成了阿里云的镜像,如果是最新版的,可能国内镜像源还没有完成同步,

如果拉取失败可以改成daocloud.io/daocloud进行尝试

1.21版本:

[root@master01 ~ ]# cat kubeadm-init.yaml

apiVersion: kubeadm.k8s.io/v1beta2

bootstrapTokens:

groups:

system:bootstrappers:kubeadm:default-node-token

token: abcdef.0123456789abcdef

ttl: 24h0m0s

usages:

signing

authentication

kind: InitConfiguration

localAPIEndpoint:

advertiseAddress: 10.10.0.220

bindPort: 6443

nodeRegistration:

criSocket: /var/run/dockershim.sock

name: master01

taints: null

apiServer:

timeoutForControlPlane: 4m0s

apiVersion: kubeadm.k8s.io/v1beta2

certificatesDir: /etc/kubernetes/pki

clusterName: kubernetes

controlPlaneEndpoint: 10.10.0.10:7443

controllerManager: {}

dns:

type: CoreDNS

etcd:

local:

dataDir: /var/lib/etcd

imageRepository: registry.aliyuncs.com/google_containers

kind: ClusterConfiguration

kubernetesVersion: 1.21.14

networking:

dnsDomain: cluster.local

podSubnet: 172.16.0.0/12

serviceSubnet: 192.168.0.0/16

scheduler: {}

更新kubeadm文件

kubeadm config migrate --old-config kubeadm-config.yaml --new-config new.yaml

[root@master01 ~ ]# kubeadm config migrate --old-config kubeadm-config.yaml --new-config new.yaml

W0707 18:04:34.176233 15690 initconfiguration.go:120] Usage of CRI endpoints without URL scheme is deprecated and can cause kubelet errors in the future. Automatically prepending scheme “unix” to the “criSocket” with value “/var/run/dockershim.sock”. Please update your configuration!

master01下载镜像

[root@master01 ~ ]# kubeadm config images pull --config kubeadm-init.yaml

[config/images] Pulled registry.aliyuncs.com/google_containers/kube-apiserver:v1.21.0

[config/images] Pulled registry.aliyuncs.com/google_containers/kube-controller-manager:v1.21.0

[config/images] Pulled registry.aliyuncs.com/google_containers/kube-scheduler:v1.21.0

[config/images] Pulled registry.aliyuncs.com/google_containers/kube-proxy:v1.21.0

[config/images] Pulled registry.aliyuncs.com/google_containers/pause:3.4.1

[config/images] Pulled registry.aliyuncs.com/google_containers/etcd:3.4.13-0

[config/images] Pulled registry.aliyuncs.com/google_containers/coredns:v1.8.0

[root@master01 ~ ]# docker images

REPOSITORY TAG IMAGE ID CREATED SIZE

registry.aliyuncs.com/google_containers/kube-apiserver v1.21.0 4d217480042e 15 months ago 126MB

registry.aliyuncs.com/google_containers/kube-proxy v1.21.0 38ddd85fe90e 15 months ago 122MB

registry.aliyuncs.com/google_containers/kube-scheduler v1.21.0 62ad3129eca8 15 months ago 50.6MB

registry.aliyuncs.com/google_containers/kube-controller-manager v1.21.0 09708983cc37 15 months ago 120MB

registry.aliyuncs.com/google_containers/pause 3.4.1 0f8457a4c2ec 18 months ago 683kB

registry.aliyuncs.com/google_containers/coredns v1.8.0 296a6d5035e2 20 months ago 42.5MB

报错分析:

[root@master01 ~ ]# kubeadm config images pull --config kubeadm-init.yaml

failed to pull image “k8s.gcr.io/kube-apiserver:v1.24.0”: output: E0708 09:07:59.782327 52040 remote_image.go:218] “PullImage from image service failed” err=“rpc error: code = Unimplemented desc = unknown service runtime.v1alpha2.ImageService” image=“k8s.gcr.io/kube-apiserver:v1.24.0”

time=“2022-07-08T09:07:59+08:00” level=fatal msg=“pulling image: rpc error: code = Unimplemented desc = unknown service runtime.v1alpha2.ImageService”

, error: exit status 1

To see the stack trace of this error execute with --v=5 or higher

需要删除下配置文件,并重启下containerd

rm -f /etc/containerd/config.toml

systemctl restart containerd

并修改镜像仓库为国内镜像仓库 imageRepository: registry.aliyuncs.com/google_containers

root@master ~]# journalctl -xeu kubelet

5月 21 21:07:57 master kubelet[15135]: E0521 21:07:57.697075 15135 kubelet.go:2419] “Error getting node” err="node

是V1.24就会出现以上错误。换成1.23以及以下版本可以解决

如果初始化失败,重置后再次初始化,命令如下:

kubeadm reset -f ; ipvsadm --clear ; rm -rf ~/.kube

初始化成功以后,会产生Token值,用于其他节点加入时使用,因此要记录下初始化成功生成的token值(令牌值):

Token过期后生成新的token:

kubeadm token create --print-join-command

Master需要生成–certificate-key

kubeadm init phase upload-certs --upload-certs

Token没有过期直接执行Join就行了

初始化:

执行kubeadm init初始化安装Master

kubeadm init --config kubeadm-init.yaml --upload-certs

日志分析:

journalctl -xeu kubelet

cat >/etc/sysconfig/kubelet<

KUBELET_EXTRA_ARGS=“–pod-infra-container-image=registry.cn-hangzhou.aliyuncs.com/google_containers/pause-amd64:3.2”

EOF

kubeadm init --control-plane-endpoint “LOAD_BALANCER_DNS:LOAD_BALANCER_PORT” --upload-certs

初始化成功:

[kubelet-finalize] Updating “/etc/kubernetes/kubelet.conf” to point to a rotatable kubelet client certificate and key

[addons] Applied essential addon: CoreDNS

[endpoint] WARNING: port specified in controlPlaneEndpoint overrides bindPort in the controlplane address

[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 ( i d − u ) : (id -u):(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/

You can now join any number of the control-plane node running the following command on each as root:

kubeadm join 10.10.0.10:7443 --token abcdef.0123456789abcdef

–discovery-token-ca-cert-hash sha256:eac394f46b758da8502c3e25882584432f195c809d29c6038f0fcefc201c8fac

–control-plane --certificate-key 3d295c9bb289f67d149674dcb413bec4accc44235873a24fbd2776a8f48eaf52

Please note that the certificate-key gives access to cluster sensitive data, keep it secret!

As a safeguard, uploaded-certs will be deleted in two hours; If necessary, you can use

“kubeadm init phase upload-certs --upload-certs” to reload certs afterward.

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 10.10.0.10:7443 --token abcdef.0123456789abcdef

–discovery-token-ca-cert-hash sha256:eac394f46b758da8502c3e25882584432f195c809d29c6038f0fcefc201c8fac

将master02、master03加入k8s集群

kubeadm join 10.10.0.10:7443 --token abcdef.0123456789abcdef

–discovery-token-ca-cert-hash sha256:eac394f46b758da8502c3e25882584432f195c809d29c6038f0fcefc201c8fac

–control-plane --certificate-key 3d295c9bb289f67d149674dcb413bec4accc44235873a24fbd2776a8f48eaf52

This node has joined the cluster and a new control plane instance was created:

Certificate signing request was sent to apiserver and approval was received.

The Kubelet was informed of the new secure connection details.

Control plane (master) label and taint were applied to the new node.

The Kubernetes control plane instances scaled up.

A new etcd member was added to the local/stacked etcd cluster.

To start administering your cluster from this node, 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

    一文教会你,如何通过kubeadm,在生产环境部署K8S高可用集群(二):https://developer.aliyun.com/article/1495660


相关实践学习
通过Ingress进行灰度发布
本场景您将运行一个简单的应用,部署一个新的应用用于新的发布,并通过Ingress能力实现灰度发布。
容器应用与集群管理
欢迎来到《容器应用与集群管理》课程,本课程是“云原生容器Clouder认证“系列中的第二阶段。课程将向您介绍与容器集群相关的概念和技术,这些概念和技术可以帮助您了解阿里云容器服务ACK/ACK Serverless的使用。同时,本课程也会向您介绍可以采取的工具、方法和可操作步骤,以帮助您了解如何基于容器服务ACK Serverless构建和管理企业级应用。 学习完本课程后,您将能够: 掌握容器集群、容器编排的基本概念 掌握Kubernetes的基础概念及核心思想 掌握阿里云容器服务ACK/ACK Serverless概念及使用方法 基于容器服务ACK Serverless搭建和管理企业级网站应用
相关文章
|
2天前
|
Prometheus Kubernetes 监控
OpenAI故障复盘 - 阿里云容器服务与可观测产品如何保障大规模K8s集群稳定性
聚焦近日OpenAI的大规模K8s集群故障,介绍阿里云容器服务与可观测团队在大规模K8s场景下我们的建设与沉淀。以及分享对类似故障问题的应对方案:包括在K8s和Prometheus的高可用架构设计方面、事前事后的稳定性保障体系方面。
|
5天前
|
Kubernetes 网络协议 应用服务中间件
Kubernetes Ingress:灵活的集群外部网络访问的利器
《Kubernetes Ingress:集群外部访问的利器-打造灵活的集群网络》介绍了如何通过Ingress实现Kubernetes集群的外部访问。前提条件是已拥有Kubernetes集群并安装了kubectl工具。文章详细讲解了Ingress的基本组成(Ingress Controller和资源对象),选择合适的版本,以及具体的安装步骤,如下载配置文件、部署Nginx Ingress Controller等。此外,还提供了常见问题的解决方案,例如镜像下载失败的应对措施。最后,通过部署示例应用展示了Ingress的实际使用方法。
21 2
|
16天前
|
存储 Kubernetes 关系型数据库
阿里云ACK备份中心,K8s集群业务应用数据的一站式灾备方案
本文源自2024云栖大会苏雅诗的演讲,探讨了K8s集群业务为何需要灾备及其重要性。文中强调了集群与业务高可用配置对稳定性的重要性,并指出人为误操作等风险,建议实施周期性和特定情况下的灾备措施。针对容器化业务,提出了灾备的新特性与需求,包括工作负载为核心、云资源信息的备份,以及有状态应用的数据保护。介绍了ACK推出的备份中心解决方案,支持命名空间、标签、资源类型等维度的备份,并具备存储卷数据保护功能,能够满足GitOps流程企业的特定需求。此外,还详细描述了备份中心的使用流程、控制台展示、灾备难点及解决方案等内容,展示了备份中心如何有效应对K8s集群资源和存储卷数据的灾备挑战。
|
1月前
|
Kubernetes 监控 Cloud Native
Kubernetes集群的高可用性与伸缩性实践
Kubernetes集群的高可用性与伸缩性实践
74 1
|
2月前
|
JSON Kubernetes 容灾
ACK One应用分发上线:高效管理多集群应用
ACK One应用分发上线,主要介绍了新能力的使用场景
|
2月前
|
Kubernetes 持续交付 开发工具
ACK One GitOps:ApplicationSet UI简化多集群GitOps应用管理
ACK One GitOps新发布了多集群应用控制台,支持管理Argo CD ApplicationSet,提升大规模应用和集群的多集群GitOps应用分发管理体验。
|
2月前
|
Kubernetes Cloud Native 云计算
云原生之旅:Kubernetes 集群的搭建与实践
【8月更文挑战第67天】在云原生技术日益成为IT行业焦点的今天,掌握Kubernetes已成为每个软件工程师必备的技能。本文将通过浅显易懂的语言和实际代码示例,引导你从零开始搭建一个Kubernetes集群,并探索其核心概念。无论你是初学者还是希望巩固知识的开发者,这篇文章都将为你打开一扇通往云原生世界的大门。
147 17
|
2月前
|
Kubernetes Ubuntu Linux
Centos7 搭建 kubernetes集群
本文介绍了如何搭建一个三节点的Kubernetes集群,包括一个主节点和两个工作节点。各节点运行CentOS 7系统,最低配置为2核CPU、2GB内存和15GB硬盘。详细步骤包括环境配置、安装Docker、关闭防火墙和SELinux、禁用交换分区、安装kubeadm、kubelet、kubectl,以及初始化Kubernetes集群和安装网络插件Calico或Flannel。
211 4
|
2月前
|
Kubernetes 应用服务中间件 nginx
搭建Kubernetes v1.31.1服务器集群,采用Calico网络技术
在阿里云服务器上部署k8s集群,一、3台k8s服务器,1个Master节点,2个工作节点,采用Calico网络技术。二、部署nginx服务到k8s集群,并验证nginx服务运行状态。
989 1
|
2月前
|
Kubernetes Cloud Native 流计算
Flink-12 Flink Java 3分钟上手 Kubernetes云原生下的Flink集群 Rancher Stateful Set yaml详细 扩容缩容部署 Docker容器编排
Flink-12 Flink Java 3分钟上手 Kubernetes云原生下的Flink集群 Rancher Stateful Set yaml详细 扩容缩容部署 Docker容器编排
93 3

热门文章

最新文章