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  • Kubernetes-1.4.x集群

    Kubernetes-1.4.x集群

    官方网站:
    Kubernetes-1.4.x集群
    参考文档:


    环境:
    CentOS 7.2
    etcd-3.0.4
    flannel-0.6.1
    docker-1.12.1
    kubernetes-1.4.1
    kubernetes-dashboard-1.4.0


    Minion1+Etcd1:192.168.8.101
    Minion2+Etcd2:192.168.8.102
    Minion3+Etcd3:192.168.8.103
    Master1:192.168.8.201


    一.组件安装
    • etcd
    • A container runner, one of:
      • docker
      • rkt
    • Kubernetes
      • kubelet
      • kube-proxy
      • kube-apiserver
      • kube-controller-manager
      • kube-scheduler
    You will run docker, kubelet, and kube-proxy outside of a container, the same way you would run any system daemon, so you just need the bare binaries. For etcd, kube-apiserver, kube-controller-manager, and kube-scheduler, we recommend that you run these as containers, so you need an image to be built.Kubernetes-1.4.x集群

    1.etcd
    a.容器外运行
    请参看Etcd集群
    http://192.168.8.101:2379,http://192.168.8.102:2379,http://192.168.8.103:2379
    b.容器内运行
    kubernets官方建议使用kubernets二进制包里经过充分测试的etcd版本

    docker pull quay.io/coreos/etcd

    docker tag quay.io/coreos/etcd etcd

    docker rmi -f quay.io/coreos/etcd

    docker run -tid --restart=always

        -p 2379:2379

        -p 2380:2380

        --net=host

        --name etcd

        etcd /usr/local/bin/etcd --name etcd --data-dir /opt/etcd 

    提示:本实验采用容器外Etcd集群


    2.flannel(所有Minion节点)
    Kubernetes-1.4.x集群
    flannel是coreos在docker跨主机组网上的一个解决方案
    i.安装flannel
    mv flanneld mk-docker-opts.sh /usr/local/bin/
    ii.配置桥接网段
    etcdctl set /coreos.com/network/config  '{ "Network": "10.1.0.0/16", "Backend": { "Type": "vxlan", "VNI": 1 } }'
    iii.启动flanneld(所有Minion节点)
    flanneld -iface=eth0 -subnet-file=/etc/profile.d/flanneld.env -etcd-endpoints=http://192.168.8.101:2379,http://192.168.8.102:2379,http://192.168.8.103:2379

    [root@node1 ~]# ifconfig 

    eth0: flags=4163  mtu 1500

            inet 192.168.8.101  netmask 255.255.255.0  broadcast 192.168.8.255

            ether 52:54:00:07:00:01  txqueuelen 1000  (Ethernet)

            RX packets 34410  bytes 3536207 (3.3 MiB)

            RX errors 0  dropped 0  overruns 0  frame 0

            TX packets 32932  bytes 5034105 (4.8 MiB)

            TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0


    flannel.1: flags=4163  mtu 1450

            inet 10.1.71.0  netmask 255.255.0.0  broadcast 0.0.0.0

            ether b6:9b:94:d7:fc:09  txqueuelen 0  (Ethernet)

            RX packets 0  bytes 0 (0.0 B)

            RX errors 0  dropped 0  overruns 0  frame 0

            TX packets 0  bytes 0 (0.0 B)

            TX errors 0  dropped 2 overruns 0  carrier 0  collisions 0

    iv.systemd管控

    1.创建flanneld.service

    cat >/lib/systemd/system/flanneld.service <<'HERE'

    [Unit]

    Description=Flannel Server

    After=network.target

    After=network-online.target

    Wants=network-online.target


    [Service]

    Type=notify

    EnvironmentFile=/etc/flanneld.conf

    ExecStart=/usr/local/bin/flanneld -subnet-file=/etc/profile.d/flanneld.env -etcd-endpoints=${FLANNELD_ETCD_ENDPOINTS}

    Restart=on-failure

    LimitNOFILE=1000000


    [Install]

    WantedBy=multi-user.target

    HERE

    2.创建主配置文件flanneld.conf

    cat >/etc/flanneld.conf <<HERE

    FLANNELD_ETCD_ENDPOINTS=http://192.168.8.101:2379,http://192.168.8.102:2379,http://192.168.8.103:2379

    HERE

    3.测试systemd启动flanneld

    [root@node4 ~]# systemctl enable flanneld

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

    [root@node4 ~]# systemctl restart flanneld

    [root@node4 ~]# systemctl status flanneld

    flanneld.service - Flannel Server

       Loaded: loaded (/usr/lib/systemd/system/flanneld.service; enabled; vendor preset: disabled)

       Active: active (running) since 三 2016-08-31 14:12:13 CST; 12s ago

     Main PID: 2449 (flanneld)

       CGroup: /system.slice/flanneld.service

               └─2449 /usr/local/bin/flanneld -subnet-file=/etc/profile.d/flanneld.env -etcd-endpoint...


    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.759557 02449 local_manager.go...ng

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.771634 02449 manager.go:246] ...24

    8月 31 14:12:13 node4.example.com systemd[1]: Started Flannel Server.

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.772516 02449 network.go:58] W...es

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.772545 02449 network.go:66] W...es

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.789447 02449 network.go:153] ...ts

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.789467 02449 device.go:163] c... 3

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.789578 02449 network.go:160] ...4b

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.789615 02449 network.go:160] ...01

    8月 31 14:12:13 node4.example.com flanneld[2449]: I0831 14:12:13.789620 02449 network.go:160] ...0c

     

    Hint: Some lines were ellipsized, use -l to show in full.


    3.docker(所有Minion节点)
    注意: 
    1.集群服务中的docker要监听在tcp端口,-H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock
    2.需要指定桥接网络
    修改docker.service启动参数

    EnvironmentFile=/etc/profile.d/flanneld.env

    ExecStart=/usr/bin/dockerd --registry-mirror http://192.168.8.254:5000 --insecure-registry 192.168.8.254:5000 -H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock --bip=${FLANNEL_SUBNET} --mtu=${FLANNEL_MTU}


    ip link set dev docker0 down 
    brctl delbr docker0 #yum -y install bridge-utils
    systemctl daemon-reload
    systemctl restart docker
    systemctl enable docker
    提示: docker指定flannel桥接网络后,docker宿主机上的容器就可以实现跨主机通信,实际上是修改了docker原生docker0的地址

    [root@node1 ~]# ifconfig docker0

    docker0: flags=4099  mtu 1500

            inet 10.1.71.1  netmask 255.255.255.0  broadcast 0.0.0.0

            ether 02:42:fb:d7:89:1e  txqueuelen 0  (Ethernet)

            RX packets 0  bytes 0 (0.0 B)

            RX errors 0  dropped 0  overruns 0  frame 0

            TX packets 0  bytes 0 (0.0 B)

            TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0

    [root@node2 ~]# ifconfig docker0

    docker0: flags=4099  mtu 1500

            inet 10.1.68.1  netmask 255.255.255.0  broadcast 0.0.0.0

            ether 02:42:ae:25:8e:7d  txqueuelen 0  (Ethernet)

            RX packets 0  bytes 0 (0.0 B)

            RX errors 0  dropped 0  overruns 0  frame 0

            TX packets 0  bytes 0 (0.0 B)

            TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0

    [root@node3 ~]# ifconfig docker0

    docker0: flags=4099  mtu 1500

            inet 10.1.44.1  netmask 255.255.255.0  broadcast 0.0.0.0

            ether 02:42:a1:53:39:7c  txqueuelen 0  (Ethernet)

            RX packets 0  bytes 0 (0.0 B)

            RX errors 0  dropped 0  overruns 0  frame 0

            TX packets 0  bytes 0 (0.0 B)

            TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0

    [root@node3 ~]# ping 10.1.68.1

    PING 10.1.68.1 (10.1.68.1) 56(84) bytes of data.

    64 bytes from 10.1.68.1: icmp_seq=1 ttl=64 time=1.82 ms

    64 bytes from 10.1.68.1: icmp_seq=2 ttl=64 time=0.733 ms


    4.kuberetes
    二进制包安装(约1G)

    tar xvf kubernetes.tar.gz

    cp kubernetes/platforms/linux/amd64/kubectl /usr/bin

    chmod +x /usr/bin/kubectl


    tar xvf kubernetes/server/kubernetes-server-linux-amd64.tar.gz -C /opt


    [root@node1 ~]# cd /opt/kubernetes/server/bin/

    [root@node1 bin]# ls

    federation-apiserver                      kube-controller-manager.tar

    federation-apiserver.docker_tag           kubectl

    federation-apiserver.tar                  kube-dns

    federation-controller-manager             kubelet

    federation-controller-manager.docker_tag  kubemark

    federation-controller-manager.tar         kube-proxy

    hyperkube                                 kube-proxy.docker_tag

    kube-apiserver                            kube-proxy.tar

    kube-apiserver.docker_tag                 kube-scheduler

    kube-apiserver.tar                        kube-scheduler.docker_tag

    kube-controller-manager                   kube-scheduler.tar

    kube-controller-manager.docker_tag


    提示:kubernetes二进制包直接提供了kube-apiserver, kube-controller-manager, and kube-scheduler等docker image,导入后即可使用

    docker load -i kube-apiserver.tar

    docker load -i kube-controller-manager.tar 

    docker load -i kube-scheduler.tar 

    [root@node1 bin]# docker images

    REPOSITORY                                         TAG                                IMAGE ID            CREATED             SIZE

    etcd                                               latest                             dce3ed2412be        2 weeks ago         43.3 MB

    gcr.io/google_containers/kube-apiserver            d0247a2195e3bf420e64d887acec323c   d0ed2fe3ef25        3 weeks ago         110.8 MB

    gcr.io/google_containers/kube-controller-manager   e40cae03d66549ce387642a893c76bbf   3a99d6aaabad        3 weeks ago         100.6 MB

    gcr.io/google_containers/kube-scheduler            1d39a72473ede8ceda23bfa4aca8bd33   468f18f0d101        3 weeks ago         60.08 MB

    源码安装
    1.安装或升级go

    curl -sSL http://www.golangtc.com/static/go/1.6.2/go1.6.2.linux-amd64.tar.gz -o o1.6.2.linux-amd64.tar.gz

    tar -xvf go1.6.2.linux-amd64.tar.gz -C /opt

    sudo cat >>/etc/profile <<'HERE'

    export GOROOT=/opt/go

    export GOPATH=/var/tmp/go

    export PATH=$GOROOT/bin:$PATH

    HERE

    source /etc/profile

    提示:主要设置GOROOT(安装路径),GOPATH(go项目的存放位置,自定义)

    root@router:~#go version

    go version go1.6.2 linux/amd64

    2.源码安装

    cd kubernetes
    make release
    提示:编译后的打包文件放在kubernetes/_output/release-tars,但因国内网络问题,正常情况下无法编译通过
    Step 1 : FROM gcr.io/google_containers/kube-cross:v1.6.2-2
    Get https://gcr.io/v1/_ping: dial tcp 173.194.72.82:443: getsockopt: connection refused


    二.配置kubernetes
    禁用firewalld,启用iptables(所有节点)
    systemctl disable firewalld
    systemctl stop firewalld
    yum -y install iptables-services
    systemctl enable iptables
    systemctl start iptables
    iptables-save >/etc/sysconfig/iptables

    A.Master组件(kube-apiserver,kube-scheduler,kube-controller-manager)
    Master1:192.168.8.201
    1.kube-apiserver
    /opt/kubernetes/server/bin/kube-apiserver
    --advertise-address=192.168.8.201
    --insecure-bind-address=0.0.0.0
    --insecure-port=8080
    --log-dir=/opt/kubernetes/server/log
    --allow_privileged=false
    --service-cluster-ip-range=10.1.0.0/16 
    --service-node-port-range=30000-32767
    --etcd-servers=http://192.168.8.101:2379,http://192.168.8.102:2379,http://192.168.8.103:2379
    提示:ssl等其它选项
    --secure-port=443
    --admission-control=NamespaceLifecycle,NamespaceExists,LimitRanger,SecurityContextDeny,ServiceAccount,ResourceQuota
    --service-account-key-file=/etc/kubernetes/ssl/apiserver-key.pem
    --tls-private-key-file=/etc/kubernetes/ssl/apiserver-key.pem
    --tls-cert-file=/etc/kubernetes/ssl/apiserver.pem
    --client-ca-file=/etc/kubernetes/ssl/ca.pem

    2.kube-scheduler
    /opt/kubernetes/server/bin/kube-scheduler
    --address=0.0.0.0
    --port=10251
    --log-dir=/opt/kubernetes/server/log
    --master=http://192.168.8.201:8080
    3.kube-controller-manager
    /opt/kubernetes/server/bin/kube-controller-manager
    --address=0.0.0.0
    --port=10252
    --log-dir=/opt/kubernetes/server/log
    --master=http://192.168.8.201:8080

    B.Minion组件(kubelet,kube-proxy)
    Minion1:192.168.8.101
    Minion2:192.168.8.102
    Minion3:192.168.8.103
    1.kubelet
    /opt/kubernetes/server/bin/kubelet
    --node-ip=192.168.8.101
    --address=0.0.0.0
    --port=10250
    --log-dir=/opt/kubernetes/server/log
    --api-servers=192.168.8.201:8080
    --configure-cbr0=false
    提示: Minion节点只需修改对应--node-ip即可
    2.kube-proxy
    /opt/kubernetes/server/bin/kube-proxy
    --bind-address=0.0.0.0
    --log-dir=/opt/kubernetes/server/log
    --master=http://192.168.8.201:8080
    说明:>=kubernetes-1.2.0 的版本,proxy分发方式是优先采用性能更好效率更高的iptables,当iptables不可用时会采用userspace方式。这也是前面禁用firewalld启用iptables的原因

    问题:CentOS7.3启动kube-proxy时报missing br-netfilter module
    照理说,如果br-netfilter没加载的话,iptables分发不生效,换言之,当访问ClusterIP的时候无法正确访问到后端pod的资源。

    I0831 15:29:17.507564    2887 server.go:202] Using iptables Proxier.

    I0831 15:29:17.507951    2887 proxier.go:209] missing br-netfilter module or unset br-nf-call-iptables; proxy may not work as intended

    I0831 15:29:17.507991    2887 server.go:215] Tearing down userspace rules.

    I0831 15:29:17.529334    2887 conntrack.go:40] Setting nf_conntrack_max to 131072

    I0831 15:29:17.529752    2887 conntrack.go:57] Setting conntrack hashsize to 32768

    I0831 15:29:17.530187    2887 conntrack.go:62] Setting nf_conntrack_tcp_timeout_established to 86400

    解决:

    但查下来,确定为误报,为什么这么说?

    [root@node1 ~]# uname -r

    3.10.0-327.el7.x86_64

    [root@node1 ~]# grep 'CONFIG_BRIDGE_NETFILTER' /boot/config-3.10.0-327.el7.x86_64 

    CONFIG_BRIDGE_NETFILTER=y

    [root@node1 ~]# sysctl -a|grep 'nf-call-iptables'

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

    因为http://ebtables.netfilter.org/documentation/bridge-nf.html

    Since Linux kernel 3.18-rc1, you have to modprobe br_netfilter to enable bridge-netfilter.

    但CentOS7.3 是直接将br_netfilter编译进了内核,并且br-nf-call-iptables功能也是开启的。k8s官方issue上也有讨论这个问题,详见

    https://github.com/kubernetes/kubernetes/issues/23385

    However, kubelet prints a warning highlighting the absence of br-netfilter:

    
    1:58.462930   18042 proxier.go:205] missing br-netfilter module or unset br-nf-call-iptables; proxy may not work as intended
    
    

    This warning seems to be incorrect.

    The check that triggers the warning is in Newproxier, located in proxier.go:

    
    if _, err := os.Stat("/sys/module/br_netfilter"); os.IsNotExist(err) {
        warnBrNetfilter = true
    }
    
    




    三.查看kubernetes集群状态
    kubectl管理命令需要在Master端执行,当然,也可以通过-s来指定api server主机

    [root@node4 ~]# kubectl version

    Client Version: version.Info{Major:"1", Minor:"4", GitVersion:"v1.4.1", GitCommit:"a16c0a7f71a6f93c7e0f222d961f4675cd97a46b", GitTreeState:"clean", BuildDate:"2016-09-26T18:16:57Z", GoVersion:"go1.6.3", Compiler:"gc", Platform:"linux/amd64"}

    Client Version: version.Info{Major:"1", Minor:"4", GitVersion:"v1.4.1", GitCommit:"a16c0a7f71a6f93c7e0f222d961f4675cd97a46b", GitTreeState:"clean", BuildDate:"2016-09-26T18:16:57Z", GoVersion:"go1.6.3", Compiler:"gc", Platform:"linux/amd64"}

    [root@node4 ~]# kubectl get componentstatuses

    NAME                 STATUS    MESSAGE              ERROR

    controller-manager   Healthy   ok                   

    scheduler            Healthy   ok                   

    etcd-1               Healthy   {"health": "true"}   

    etcd-0               Healthy   {"health": "true"}   

    etcd-2               Healthy   {"health": "true"}

    [root@node4 ~]# kubectl get nodes

    NAME                STATUS    AGE

    node1.example.com   Ready     13d

    node2.example.com   Ready     2h

    node3.example.com   Ready     2h

    提示:如果这里看到节点状态为NotReady,请检查是否有参数错误,个人之前一直是NotReady,原因是在不知道确切意思的情况下误将--configure-cbr0(默认为false)设置为true

    [root@node4 ~]# curl -s http://192.168.8.201:8080/api

    {

      "kind": "APIVersions",

      "versions": [

        "v1"

      ],

      "serverAddressByClientCIDRs": [

        {

          "clientCIDR": "0.0.0.0/0",

          "serverAddress": "192.168.8.201:6443"

        }

      ]

     

    }



    四.运行容器pods

    方式一:直接命令行

    [root@node4 ~]# kubectl run web --image=python3 --replicas=5 "python3 -m http.server 8080"

    deployment "web" created

    [root@node4 ~]# kubectl get pods

    NAME                  READY     STATUS              RESTARTS   AGE

    web-799709087-2dzex   0/1       ContainerCreating           6s

    web-799709087-8uyir   0/1       ContainerCreating           6s

    web-799709087-9hqiw   0/1       ContainerCreating           6s

    web-799709087-joh1u   0/1       ContainerCreating           6s

    web-799709087-zwczj   0/1       ContainerCreating           6s

    [root@node4 ~]# kubectl get deployment

    NAME      DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE

    web       5         5                   0           21s

    [root@node4 ~]# kubectl describe pods web-799709087-2dzex

    Name: web-799709087-2dzex

    Namespace: default

    Node: node3.example.com/192.168.8.103

    Start Time: Sun, 28 Aug 2016 17:42:43 +0800

    Labels: pod-template-hash=799709087

    run=web

    Status: Pending

    IP:

    Controllers: ReplicaSet/web-799709087

    Containers:

      web:

        Container ID:

        Image: python3

        Image ID:

        Port:

        Args:

          python3 -m http.server 8080

        State: Waiting

          Reason: ContainerCreating

        Ready: False

        Restart Count: 0

        Environment Variables:

    Conditions:

      Type Status

      Initialized True 

      Ready False 

      PodScheduled True 

    No volumes.

    QoS Tier: BestEffort

    Events:

      FirstSeen LastSeen Count From SubobjectPath Type Reason Message

      --------- -------- ----- ---- ------------- -------- ------ -------

      46s 46s 1 {default-scheduler } Normal Scheduled Successfully assigned web-799709087-2dzex to node3.example.com

     

      1s 1s 1 {kubelet node3.example.com} Warning FailedSync Error syncing pod, skipping: failed to "StartContainer" for "POD" with ErrImagePull: "image pull failed for gcr.io/google_containers/pause-amd64:3.0, this may be because there are no credentials on this request.  details: (Error response from daemon: {"message":"Get https://gcr.io/v1/_ping: dial tcp 173.194.72.82:443: i/o timeout"})"

    注意: 上面的操作后直接卡在ContainerCreating上,而实际上我事先在所有minion节点上早将python3的image 从本地仓库中pull了下来,但k8s依赖pause镜像gcr.io/google_containers/pause-amd64:3.0,不同的k8s版本依赖的pause版本不一样

    解决办法:

    A.VPN

    请自行翻墙

    B.伪装(所有Minion节点)

    docker pull docker.io/kubernetes/pause

    docker tag docker.io/kubernetes/pause gcr.io/google_containers/pause-amd64:3.0

    docker rmi -f docker.io/kubernetes/pause

    道理很简单,先在minion节点本地准备好依赖的pause镜像,版本名称请与k8s依赖保持一致

    以nginx再重新部署一次

    [root@node4 ~]# kubectl delete deployment web

    deployment "web" deleted

    [root@node4 ~]# kubectl run nginx --image=nginx --replicas=2

    deployment "nginx" created

    [root@node4 ~]# kubectl get pods

    NAME                     READY     STATUS              RESTARTS   AGE

    nginx-3137573019-tza59   0/1       ContainerCreating           2s

    nginx-3137573019-xro4m   0/1       ContainerCreating           2s

    [root@node4 ~]# kubectl get pods -o wide

    NAME                     READY     STATUS    RESTARTS   AGE       IP          NODE

    nginx-3137573019-0yuta   1/1       Running           18s       10.1.68.2   node2.example.com

    nginx-3137573019-fun4v   1/1       Running           18s       10.1.44.2   node3.example.com

    ok,己成功运行了容器nginx

    提示: 输出支持json|yaml|wide等格式

    方式二:配置文件(yaml,json)

    方便长期维护与跟踪,建议使用配置文件方式来运行pods

    http://kubernetes.io/docs/user-guide/deployments/

    cat >nginx.yaml <<HERE

    apiVersion: extensions/v1beta1

    kind: Deployment

    metadata:

      name: nginx-deployment

    spec:

      replicas: 3

      template:

        metadata:

          labels:

            app: nginx

        spec:

          containers:

          - name: nginx

            image: 192.168.8.254:5000/nginx

            ports:

            - containerPort: 80

            - containerPort: 443

    HERE

    [root@node4 ~]# kubectl create -f nginx.yaml 

    deployment "nginx-deployment" created

    [root@node4 ~]# kubectl rollout status deployments nginx-deployment

    deployment nginx-deployment successfully rolled out

    [root@node4 ~]# kubectl get deployment

    NAME               DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE

    nginx              2         2                   2           14m

    nginx-deployment   3         3                   2           23s

    [root@node4 ~]# kubectl get pods

    NAME                                READY     STATUS    RESTARTS   AGE

    nginx-3137573019-0yuta              1/1       Running           15m

    nginx-3137573019-fun4v              1/1       Running           15m

    nginx-deployment-2445923563-az8ma   1/1       Running           28s

    nginx-deployment-2445923563-bqlwd   1/1       Running           28s

    nginx-deployment-2445923563-vz9l3   1/1       Running           28s

    [root@node4 ~]# kubectl get rs

    NAME                          DESIRED   CURRENT   AGE

    nginx-3137573019              2         2         15m

    nginx-deployment-2445923563   3         3         30s

    回滚

    http://kubernetes.io/docs/user-guide/rolling-updates/

    [root@node4 ~]# kubectl rollout undo deployment/nginx-deployment

    deployment "nginx-deployment" skipped rollback (DeploymentRollbackRevisionNotFound: Unable to find last revision.)

    [root@node4 ~]# kubectl rollout undo deployment/nginx-deployment --to-revision=2

    deployment "nginx-deployment" skipped rollback (DeploymentRollbackRevisionNotFound: Unable to find the revision to rollback to.)

    更新

    将pods拉伸至5,只需修改配置文件中的replicas: 5

    [root@node4 ~]# kubectl replace -f nginx.yaml 

    deployment "nginx-deployment" replaced

    [root@node4 ~]# kubectl get deployment

    NAME               DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE

    nginx              2         2                   2           27m

    nginx-deployment   5         5                   5           13m

    [root@node4 ~]# kubectl get pods

    NAME                                READY     STATUS    RESTARTS   AGE

    nginx-3137573019-0yuta              1/1       Running           27m

    nginx-3137573019-fun4v              1/1       Running           27m

    nginx-deployment-2445923563-az8ma   1/1       Running           13m

    nginx-deployment-2445923563-bqlwd   1/1       Running           13m

    nginx-deployment-2445923563-dr9dx   1/1       Running           29s

    nginx-deployment-2445923563-s9vpy   1/1       Running           29s

    nginx-deployment-2445923563-vz9l3   1/1       Running           13m

    0宕机在线维护Minion主机(cordon,drain,uncordon)

    场景:假如node1.example.com这台主机需要维护,但上面有容器正在运行

    [root@node4 ~]# kubectl get pods -o wide

    NAME                                READY     STATUS    RESTARTS   AGE       IP          NODE

    nginx-3137573019-0yuta              1/1       Running           38m       10.1.68.2   node2.example.com

    nginx-3137573019-fun4v              1/1       Running           38m       10.1.44.2   node3.example.com

    nginx-deployment-2445923563-4f2p6   1/1       Running           2m        10.1.71.5   node1.example.com

    nginx-deployment-2445923563-az8ma   1/1       Running           24m       10.1.71.4   node1.example.com

    nginx-deployment-2445923563-g0wkh   1/1       Running           2m        10.1.44.4   node3.example.com

    nginx-deployment-2445923563-mf0kf   1/1       Running           2m        10.1.68.3   node2.example.com

    nginx-deployment-2445923563-vz9l3   1/1       Running           24m       10.1.44.3   node3.example.com

    [root@node4 ~]# kubectl get nodes

    NAME                STATUS    AGE

    node1.example.com   Ready     15d

    node2.example.com   Ready     2d

    node3.example.com   Ready     2d

    1.将要维护的Minion节点标识为SchedulingDisabled

    有新部署的时候不会部署到该Minion节点

    [root@node4 ~]# kubectl cordon node1.example.com

    node "node1.example.com" cordoned

    [root@node4 ~]# kubectl get nodes

    NAME                STATUS                     AGE

    node1.example.com   Ready,SchedulingDisabled   15d

    node2.example.com   Ready                      2d

    node3.example.com   Ready                      2d

    2.迁移要维护Minion节点上的容器

    [root@node4 ~]# kubectl drain node1.example.com

    node "node1.example.com" already cordoned

    pod "nginx-deployment-2445923563-4f2p6" deleted

    pod "nginx-deployment-2445923563-az8ma" deleted

    pod "kubernetes-dashboard-3825951078-a9o82" deleted

    pod "busybox-49452825-ldfpw" deleted

    node "node1.example.com" drained

    [root@node4 ~]# kubectl get pods -o wide

    NAME                                READY     STATUS    RESTARTS   AGE       IP          NODE

    nginx-3137573019-0yuta              1/1       Running           41m       10.1.68.2   node2.example.com

    nginx-3137573019-fun4v              1/1       Running           41m       10.1.44.2   node3.example.com

    nginx-deployment-2445923563-3pwle   1/1       Running           22s       10.1.68.4   node2.example.com

    nginx-deployment-2445923563-41jqn   1/1       Running           22s       10.1.44.5   node3.example.com

    nginx-deployment-2445923563-g0wkh   1/1       Running           4m        10.1.44.4   node3.example.com

    nginx-deployment-2445923563-mf0kf   1/1       Running           4m        10.1.68.3   node2.example.com

    nginx-deployment-2445923563-vz9l3   1/1       Running           26m       10.1.44.3   node3.example.com

    3.维护完成后,撤销SchedulingDisabled 标识

    [root@node4 ~]# kubectl uncordon node1.example.com

    node "node1.example.com" uncordoned

    [root@node4 ~]# kubectl get nodes

    NAME                STATUS    AGE

    node1.example.com   Ready     15d

    node2.example.com   Ready     2d

    node3.example.com   Ready     2d

    创建rc(Replication-Controller)

    http://kubernetes.io/docs/user-guide/replicasets/

    http://kubernetes.io/docs/user-guide/replication-controller/

    说明: rs是下一代的rc,默认创建的Deployment会以rs方式呈现,这也是很多示例中用get rc时看不到任何信息的原因

    Replica Set is the next-generation Replication Controller. The only difference between a Replica Set and a Replication Controllerright now is the selector support. Replica Set supports the new set-based selector requirements as described in the labels user guide whereas a Replication Controller only supports equality-based selector requirements.


    cat >rc-nginx.yaml <<HERE

    apiVersion: v1

    kind: ReplicationController

    metadata:

      name: rc-nginx

    spec:

      replicas: 3

      selector:

        app: nginx

      template:

        metadata:

          name: nginx

          labels:

            app: nginx

        spec:

          containers:

          - name: nginx

            image: 192.168.8.254:5000/nginx

            ports:

            - containerPort: 80

            - containerPort: 443

    HERE

    [root@node4 ~]# kubectl create -f rc-nginx.yaml 

    replicationcontroller "rc-nginx" created

    [root@node4 ~]# kubectl get rc

    NAME       DESIRED   CURRENT   AGE

    rc-nginx   3         3         12s

    [root@node4 ~]# kubectl describe rc

    Name: rc-nginx

    Namespace: default

    Image(s): nginx

    Selector: app=nginx

    Labels: app=nginx

    Replicas: 3 current / 3 desired

    Pods Status: 3 Running / 0 Waiting / 0 Succeeded / 0 Failed

    No volumes.

    Events:

      FirstSeen LastSeen Count From SubobjectPath Type Reason Message

      --------- -------- ----- ---- ------------- -------- ------ -------

      1m 1m 1 {replication-controller } Normal SuccessfulCreate Created pod: rc-nginx-56jy0

      1m 1m 1 {replication-controller } Normal SuccessfulCreate Created pod: rc-nginx-9xf3r

      1m 1m 1 {replication-controller } Normal SuccessfulCreate Created pod: rc-nginx-qh49y

    再创建一个redis pods

    cat >redis.yaml <<HERE

    apiVersion: extensions/v1beta1

    kind: Deployment

    metadata:

      name: redis

    spec:

      replicas: 3

      template:

        metadata:

          labels:

            app: redis

        spec:

          containers:

          name: redis

            image: 192.168.8.254:5000/redis

            ports:

            containerPort: 6379

    HERE

    [root@node4 ~]# kubectl create -f redis.yaml 

    deployment "redis" created

    [root@node4 ~]# kubectl get pods

    NAME                     READY     STATUS    RESTARTS   AGE

    rc-nginx-5lcku           1/1       Running            22m

    rc-nginx-ffzu1           1/1       Running            22m

    rc-nginx-mcaxg           1/1       Running            22m

    redis-3972576797-3s64o   1/1       Running            21s

    redis-3972576797-q7b0k   1/1       Running            21s

    redis-3972576797-qc9xf   1/1       Running            21s

    [root@node4 ~]# kubectl get rs

    NAME               DESIRED   CURRENT   AGE

    redis-3972576797                   33s

    [root@node4 ~]# kubectl get rc

    NAME       DESIRED   CURRENT   AGE

    rc-nginx                   23m

    删除rc

    [root@node4 ~]# kubectl delete rc rc-nginx

    replicationcontroller "rc-nginx" deleted

    [root@node4 ~]# kubectl delete rc/rc-nginx

    replicationcontroller "rc-nginx" deleted



    五.定义service

    http://kubernetes.io/docs/user-guide/services/

    cat >nginx-service.json <<HERE

    {

        "kind": "Service",

        "apiVersion": "v1",

        "metadata": {

            "name": "nginx-service"

        },

        "spec": {

            "selector": {

                "app": "nginx"

            },

            "ports": [

                {

                    "name": "http",

                    "protocol": "TCP",

                    "port": 80,

                    "targetPort": 80

                },

                {

                    "name": "https",

                    "protocol": "TCP",

                    "port": 443,

                    "targetPort": 443

                }

            ]

        }

    }

    HERE

    [root@node4 ~]# kubectl create -f nginx-service.json 

    service "nginx-service" created

    [root@node4 ~]# kubectl describe svc nginx-service

    Name: nginx-service

    Namespace: default

    Labels:

    Selector: app=nginx

    Type: ClusterIP

    IP: 10.1.177.130

    Port: http 80/TCP

    Endpoints: 10.1.43.4:80,10.1.56.3:80,10.1.79.2:80

    Port: https 443/TCP

    Endpoints: 10.1.43.4:443,10.1.56.3:443,10.1.79.2:443

    Session Affinity: None

    No events.

    [root@node4 ~]# kubectl get svc nginx-service

    NAME         CLUSTER-IP     EXTERNAL-IP   PORT(S)          AGE

    nginx-service   10.1.177.130           80/TCP,443/TCP   1d

    [root@node4 ~]# kubectl get ep nginx-service

    NAME         ENDPOINTS                                               AGE

    nginx-service   10.1.43.4:443,10.1.56.3:443,10.1.79.2:443 + 3 more...   1d

    说明:一个Service可以有多个Pods同时工作,,类似负载均衡,当访问Service时,请求会被重定向到其中的一个Pod。但k8s目前采用的是iptables端口映射方式,而Docker官方最新的swarm(>=docker-engine-1.12.0)给我们下了一济猛料,直接采用lvs做负载,光从调度算法上看iptables就逊色得多。

    如上显示,10.1.177.130是Service的虚拟地址,映射关系如下

    10.1.177.130:80 -> 10.1.43.4:80,10.1.56.3:80,10.1.79.2:80

    10.1.177.130:443 -> 10.1.43.4:443,10.1.56.3:80,10.1.79.2:443


    注:需要注意的是,Service中的ClusterIP是无法ping通的,但在Minion桥接网络内访问80/443端口时可以访问到对应的资源。可以在创建Service的时候直接指定在--service-cluster-ip-range=10.1.0.0/16范围内的合法ClusterIP

    实际测试中遇到这样一样问题,当pods运行在某一Minion上时,无法在该Minion上通过ClusterIP访问到pods

    比如:当nginx只有一个pods并且运行在Minion2上,此时,在Minion1,Minion3上可以通过ClusterIP访问到对应资源,而在Minion2上则无法通过ClusterIP访问。不知道朋友们是否也遇到过同样的问题,还有待进一步研究

    [root@node1 ~]# curl -I 10.1.177.130

    HTTP/1.1 200 OK

    Server: nginx/1.11.3

    Date: Wed, 31 Aug 2016 08:57:39 GMT

    Content-Type: text/html

    Content-Length: 612

    Last-Modified: Tue, 26 Jul 2016 14:54:48 GMT

    Connection: keep-alive

    ETag: "579779b8-264"

    Accept-Ranges: bytes

    [root@node1 ~]# iptables -t nat -S|grep 10.1.177.130

    -A KUBE-SERVICES -d 10.1.177.130/32 -p tcp -m comment --comment "default/my-service:http cluster IP" -m tcp --dport 80 -j KUBE-SVC-I37Z43XJW6BD4TLV

    -A KUBE-SERVICES -d 10.1.177.130/32 -p tcp -m comment --comment "default/my-service:https cluster IP" -m tcp --dport 443 -j KUBE-SVC-CKR3WBBWMIGA5XGG

    当有新Service定义时,所有的Minion节点上都会生成对应的iptables条目



    六.kubernetes-dashboard
    Deprecated Web UI for Kubernetes; please try dashboard instead 
    说明:从1.2版本开始, kubernetes提供配套的web UI可视化工具早期的UI项目为kube-ui,该项目基于NodeJS,已经不再维护,转而由新项目dashboard取代,这里只是简单提下这两者的关系

    kubernetes-dashboard是以pods的形式运行的,所以需要先准备好镜像,请自行先准备好kubernetes-dashboard镜像
    1.准备kubernetes-dashboard镜像
    a.可以在Minion节点上事先离线下载好镜像
    docker pull gcr.io/google_containers/kubernetes-dashboard-amd64:v1.4.0
    b.配置文件中指定镜像URL
    将己下好的kubernetes-dashboard上传到私有仓库,再在配置文件kubernetes-dashboard.yaml中指定镜像url,官方最新配置文件为https://raw.githubusercontent.com/kubernetes/dashboard/v1.6.3/src/deploy/kubernetes-dashboard.yaml

    kind: Deployment

    apiVersion: extensions/v1beta1

    metadata:

      labels:

        app: kubernetes-dashboard

        version: v1.4.0

      name: kubernetes-dashboard

      namespace: kube-system

    spec:

      replicas: 1

      selector:

        matchLabels:

          app: kubernetes-dashboard

      template:

        metadata:

          labels:

            app: kubernetes-dashboard

        spec:

          containers:

          - name: kubernetes-dashboard

            image: 192.168.8.254:5000/kubernetes-dashboard

            imagePullPolicy: Always

            ports:

            - containerPort: 9090

              protocol: TCP

            args:

              - --apiserver-host=http://192.168.8.201:8080

            livenessProbe:

              httpGet:

                path: /

                port: 9090

              initialDelaySeconds: 30

              timeoutSeconds: 30

    ---

    kind: Service

    apiVersion: v1

    metadata:

      labels:

        app: kubernetes-dashboard

      name: kubernetes-dashboard

      namespace: kube-system

    spec:

      type: NodePort

      ports:

      - port: 80

        targetPort: 9090

      selector:

        app: kubernetes-dashboard


    如上,只需修改镜像URL和apiserver URL即可
    提示: kubectl默认查看的是default命名空间的内容,而kubernetes-dashboard在kube-system命名空间,所以操作时必须指定命名空间--namespace=kube-system

    2.创建deployment和service

    [root@node4 ~]# kubectl create -f kubernetes-dashboard.yaml 

    deployment "kubernetes-dashboard" created

    You have exposed your service on an external port on all nodes in your

    cluster.  If you want to expose this service to the external internet, you may

    need to set up firewall rules for the service port(s) (tcp:31653) to serve traffic.


    See http://releases.k8s.io/release-1.3/docs/user-guide/services-firewalls.md for more details.

    service "kubernetes-dashboard" created

    3.查看kubernetes-dashboard状态

    [root@node4 ~]# kubectl get pods --namespace=kube-system

    NAME                                    READY     STATUS    RESTARTS   AGE

    kubernetes-dashboard-2950980434-1d82j   1/1       Running           8s

    kubernetes-dashboard-2950980434-3v5lz   1/1       Running           8s

    删除kubernetes-dashboard

    [root@node4 ~]# kubectl delete deployment kubernetes-dashboard --namespace=kube-system

    deployment "kubernetes-dashboard" deleted

    [root@node4 ~]# kubectl delete service kubernetes-dashboard --namespace=kube-system

    service "kubernetes-dashboard" deleted

    4.访问kubernetes-dashboard

    i.通过Master转发

    短链接:http://192.168.8.201:8080/ui

    长链接:http://192.168.8.201:8080/api/v1/proxy/namespaces/kube-system/services/kubernetes-dashboard/

    Kubernetes-1.4.x集群

    注意:这种方式需要Master和Minion桥接网络互通,最简单的是在Master上也启一个flannel,如果没有路由,会报如上错误。

    flanneld -iface=eth0 -subnet-file=/etc/profile.d/flannel.env -etcd-endpoints=http://192.168.8.101:2379,http://192.168.8.102:2379,http://192.168.8.103:2379

    Kubernetes-1.4.x集群
    Kubernetes-1.4.x集群

    2.ClusterIP

    10.1.124.152

    [root@node4 ~]# kubectl get svc --namespace=kube-system

    NAME                   CLUSTER-IP     EXTERNAL-IP   PORT(S)   AGE

    kubernetes-dashboard   10.1.124.152          80/TCP    38s

    3.pods

    [root@node4 ~]# kubectl get ep --namespace=kube-system

    NAME                   ENDPOINTS                       AGE

    kubernetes-dashboard   10.1.43.2:9090,10.1.56.2:9090   30s

    10.1.43.2:9090

    10.1.56.2:9090

    Kubernetes-1.4.x集群

    Kubernetes-1.4.x集群

    Kubernetes-1.4.x集群
    Kubernetes-1.4.x集群

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  • 原文地址:https://www.cnblogs.com/lixuebin/p/10814024.html
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