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
深入解析Docker容器化技术
Docker是一个开源的应用容器引擎,让开发者可以打包他们的应用以及依赖包到一个可移植的容器中,然后发布到任何流行的Linux机器上,也可以实现虚拟化,容器是完全使用沙箱机制,相互之间不会有任何接口。Docker是世界领先的软件容器平台。开发人员利用Docker可以消除协作编码时“在我的机器上可正常工作”的问题。运维人员利用Docker可以在隔离容器中并行运行和管理应用,获得更好的计算密度。企业利用Docker可以构建敏捷的软件交付管道,以更快的速度、更高的安全性和可靠的信誉为Linux和Windows Server应用发布新功能。 在本套课程中,我们将全面的讲解Docker技术栈,从环境安装到容器、镜像操作以及生产环境如何部署开发的微服务应用。本课程由黑马程序员提供。 &nbsp; &nbsp; 相关的阿里云产品:容器服务 ACK 容器服务 Kubernetes 版(简称 ACK)提供高性能可伸缩的容器应用管理能力,支持企业级容器化应用的全生命周期管理。整合阿里云虚拟化、存储、网络和安全能力,打造云端最佳容器化应用运行环境。 了解产品详情: https://www.aliyun.com/product/kubernetes
相关文章
|
5月前
|
存储 Kubernetes 异构计算
Qwen3 大模型在阿里云容器服务上的极简部署教程
通义千问 Qwen3 是 Qwen 系列最新推出的首个混合推理模型,其在代码、数学、通用能力等基准测试中,与 DeepSeek-R1、o1、o3-mini、Grok-3 和 Gemini-2.5-Pro 等顶级模型相比,表现出极具竞争力的结果。
|
6月前
|
存储 Kubernetes 监控
K8s集群实战:使用kubeadm和kuboard部署Kubernetes集群
总之,使用kubeadm和kuboard部署K8s集群就像回归童年一样,简单又有趣。不要忘记,技术是为人服务的,用K8s集群操控云端资源,我们不过是想在复杂的世界找寻简单。尽管部署过程可能遇到困难,但朝着简化复杂的目标,我们就能找到意义和乐趣。希望你也能利用这些工具,找到你的乐趣,满足你的需求。
633 33
|
6月前
|
Kubernetes 开发者 Docker
集群部署:使用Rancher部署Kubernetes集群。
以上就是使用 Rancher 部署 Kubernetes 集群的流程。使用 Rancher 和 Kubernetes,开发者可以受益于灵活性和可扩展性,允许他们在多种环境中运行多种应用,同时利用自动化工具使工作负载更加高效。
367 19
|
4月前
|
资源调度 Kubernetes 调度
从单集群到多集群的快速无损转型:ACK One 多集群应用分发
ACK One 的多集群应用分发,可以最小成本地结合您已有的单集群 CD 系统,无需对原先应用资源 YAML 进行修改,即可快速构建成多集群的 CD 系统,并同时获得强大的多集群资源调度和分发的能力。
172 9
|
4月前
|
资源调度 Kubernetes 调度
从单集群到多集群的快速无损转型:ACK One 多集群应用分发
本文介绍如何利用阿里云的分布式云容器平台ACK One的多集群应用分发功能,结合云效CD能力,快速将单集群CD系统升级为多集群CD系统。通过增加分发策略(PropagationPolicy)和差异化策略(OverridePolicy),并修改单集群kubeconfig为舰队kubeconfig,可实现无损改造。该方案具备多地域多集群智能资源调度、重调度及故障迁移等能力,帮助用户提升业务效率与可靠性。
|
6月前
|
人工智能 分布式计算 调度
打破资源边界、告别资源浪费:ACK One 多集群Spark和AI作业调度
ACK One多集群Spark作业调度,可以帮助您在不影响集群中正在运行的在线业务的前提下,打破资源边界,根据各集群实际剩余资源来进行调度,最大化您多集群中闲置资源的利用率。
|
9月前
|
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。
|
6月前
|
Prometheus Kubernetes 监控
OpenAI故障复盘丨如何保障大规模K8s集群稳定性
OpenAI故障复盘丨如何保障大规模K8s集群稳定性
211 0
OpenAI故障复盘丨如何保障大规模K8s集群稳定性
|
8月前
|
缓存 容灾 网络协议
ACK One多集群网关:实现高效容灾方案
ACK One多集群网关可以帮助您快速构建同城跨AZ多活容灾系统、混合云同城跨AZ多活容灾系统,以及异地容灾系统。
|
7月前
|
运维 分布式计算 Kubernetes
ACK One多集群Service帮助大批量应用跨集群无缝迁移
ACK One多集群Service可以帮助您,在无需关注服务间的依赖,和最小化迁移风险的前提下,完成跨集群无缝迁移大批量应用。

推荐镜像

更多