云原生第一课学习作业

一、基本概念:

1.1、Linux名称Namespace

        namespace是Linux系统的底层概念,在linux的内核中具体实现,内核中有不同类型的名称空间,Docker容器运行在同一个Docker主进程,且共享同一个宿主机内核,通过名称空间隔离各个容器,但是容器在一个进程内实现运行指定的服务环境,并且还可以保护宿主机内核不受其它进程的干扰和影响,例如:文件系统空间、网络空间、进程空间等,主要的名称孔家如下:

1.2、为了避免容器占用完宿主机的资源,对容器进行资源限制:比如CPU、内存、磁盘、网络带宽等,Linux使用Cgroup实现上述功能,此外,它还能够对进程进行优先级设置,以及讲进程挂起和恢复等操作

二、Docker安装

2.1、系统:ubuntu 20.4

2.2、docker软件版本:docker-ce-19.03.15

2.3、软件安装:

2.3.1、关闭防火墙:

 ufw disable

2.3.2、参数优化:

cat >>/etc/security/limits.conf<<EOF

*                -      nofile          65535

*                -      nproc          65535

EOF

cat >>/etc/sysctl.conf<<EOF

kernel.pid_max=4194303

fs.file-max=1000000

vm.max_map_count=262144

net.netfilter.nf_conntrack_max=2097152

net.ipv4.tcp_fin_timeout = 2

net.ipv4.tcp_tw_reuse = 1

net.ipv4.tcp_tw_recycle = 1

net.ipv4.tcp_syncookies = 1

net.ipv4.tcp_keepalive_time = 600

net.ipv4.ip_local_port_range = 4000    65000

net.ipv4.tcp_max_syn_backlog = 16384

net.ipv4.tcp_max_tw_buckets = 36000

net.ipv4.route.gc_timeout = 100

net.ipv4.tcp_syn_retries = 1

net.ipv4.tcp_synack_retries = 1

net.core.somaxconn = 16384

net.ipv4.tcp_max_orphans = 16384

net.core.netdev_max_backlog = 16384

net.core.wmem_default = 8388608

net.core.rmem_default = 8388608

net.core.wmem_max = 16777216

net.core.rmem_max = 16777216

net.ipv4.ip_nonlocal_bind=1

net.ipv4.ip_forward = 1

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

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

vm.swappiness = 0

EOF

2.3.3、安装软件

apt-get -y install apt-transport-https ca-certificates curl software-properties-common

curl -fsSL https://mirrors.aliyun.com/docker-ce/linux/ubuntu/gpg | sudo apt-key add -

apt-get -y update

apt install docker-ce=5:19.03.15~3-0~ubuntu-focal docker-ce-cli=5:19.03.15~3-0~ubuntu-focal

2.3.4、设置docker配置文件

cat<<EOF > /etc/docker/daemon.json

{

  "exec-opts": ["native.cgroupdriver=systemd"],

  "log-driver": "json-file",

  "log-opts": {

    "max-size": "100m"

  },

  "storage-driver": "overlay2",

  "storage-opts": [

    "overlay2.override_kernel_check=true"

  ],

  "registry-mirrors": ["https://2efvplft.mirror.aliyuncs.com"]

}

EOF

systemctl daemon-reload

systemctl restart docker

systemctl enable docker

查看docker设定信息

docker info

Client:

Debug Mode: false

Server:

Containers: 0

  Running: 0

  Paused: 0

  Stopped: 0

Images: 0

Server Version: 19.03.15

Storage Driver: overlay2

  Backing Filesystem: extfs

  Supports d_type: true

  Native Overlay Diff: true

Logging Driver: json-file

Cgroup Driver: systemd

Plugins:

  Volume: local

  Network: bridge host ipvlan macvlan null overlay

  Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog

Swarm: inactive

Runtimes: runc

Default Runtime: runc

Init Binary: docker-init

containerd version: 7b11cfaabd73bb80907dd23182b9347b4245eb5d

runc version: v1.0.2-0-g52b36a2

init version: fec3683

Security Options:

  apparmor

  seccomp

  Profile: default

Kernel Version: 5.11.0-27-generic

Operating System: Ubuntu 20.04.3 LTS

OSType: linux

Architecture: x86_64

CPUs: 2

Total Memory: 3.81GiB

Name: CNCF-K8S-MD

ID: Q6MC:ZVNA:MEUS:RASN:7CYM:HNBX:UKWM:PEY3:ZTVY:GW76:UOU7:XMJF

Docker Root Dir: /var/lib/docker

Debug Mode: false

Registry: https://index.docker.io/v1/

Labels:

Experimental: false

Insecure Registries:

  127.0.0.0/8

Registry Mirrors:

  https://2efvplft.mirror.aliyuncs.com/

Live Restore Enabled: false

三、Docker常用命令

拉取镜像:docker pull 镜像

docker pull  nginx

上传镜像:docker push 镜像

docker push nginx

运行容器:

docker run -d --rm -p 81:80 nginx  

-d是后台运行,--rm是容器结束后自动删除,-p 映射端口:8081为主机端口、8080为容器中的服务端口  bash为容器运行的命令

root@CNCF-K8S-MD:~# docker run -d --rm -p 81:80 nginx

ab827b65bdaa002aa8d0a094e3d1bd5110ad7f8668a40b13cb9fe4f62be029d9

root@CNCF-K8S-MD:~# docker ps -a

CONTAINER ID        IMAGE              COMMAND                  CREATED            STATUS              PORTS                NAMES

ab827b65bdaa        nginx              "/docker-entrypoint.…"  5 seconds ago      Up 4 seconds        0.0.0.0:81->80/tcp  hopeful_galois

查看主机上的容器:docker ps -a,-a是显示所有容器,不带-a是只显示运行中的容器

显示主机上的镜像:docker images


为镜像打标签: docker tag 源标签  目标标签

root@CNCF-K8S-MD:~# docker tag nginx registry.test.com/nginx:v1

root@CNCF-K8S-MD:~# docker images

REPOSITORY                TAG                IMAGE ID            CREATED            SIZE

nginx                    latest              f6987c8d6ed5        5 days ago          141MB

registry.test.com/nginx  v1                  f6987c8d6ed5        5 days ago          141MB

centos                    latest              5d0da3dc9764        3 months ago        231MB

镜像删除:docker rmi -f 镜像名称或ID

docker rmi nginx

root@CNCF-K8S-MD:~# docker rmi nginx

Untagged: nginx:latest

Untagged: nginx@sha256:366e9f1ddebdb844044c2fafd13b75271a9f620819370f8971220c2b330a9254

四、HABOR安装

4.1、主机系统:系统:ubuntu 20.4

4.2、docker软件版本:docker-ce-19.03.15

4.3、IP地址:10.0.0.3/24

4.4、软件下载地址:https://github.com/goharbor/harbor/releases

4.5、软件配置

tar xf harbor-offline-installer-v2.3.5.tgz

cd harbor/

cp harbor.yml.tmpl harbor.yml

编辑harbor.yml文件

hostname: reg.mydomain.com 改为hostname: 10.0.0.3;harbor_admin_password: Harbor12345改为arbor_admin_password: 1234567,1234567是登录harbor网页时用户admin的密码;data_volume: /data其中/data改为你需要的目录,本次不更改;注释掉下面的内容,不启用https

#https:

  #  port: 443

  # certificate: /your/certificate/path

  #private_key: /your/private/key/path

4.6、下载docker-composer

sudo curl-L"https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname-s)-$(uname-m)" -o /usr/local/bin/docker-compose

chmod +x /usr/local/bin/docker-compose

4.7、安装harbor

./install.sh --with-trivy --with-chartmuseum

最后出现✔ ----Harbor has been installed and started successfully.----表示安装成功

ss -lntup |grep 80

tcp    LISTEN  0        128            127.0.0.1:6010          0.0.0.0:*      users:(("sshd",pid=41680,fd=11))                                             

tcp    LISTEN  0        16384                  *:80                  *:*      users:(("docker-proxy",pid=44727,fd=4))                                       

tcp    LISTEN  0        128                [::1]:6010              [::]:*      users:(("sshd",pid=41680,fd=10)) 

4.8、harbor使用

登录网页,用户名admin,密码1234567

新建项目





修改client的docker配置(/etc/docker/daemon.json),

在"registry-mirrors": ["https://2efvplft.mirror.aliyuncs.com"]后面加,然后添加:   “insecure-registries”: [“10.0.0.3”]

重新加载和重启docker

登录:

docker login 10.0.0.3

Username: admin

Password:

WARNING! Your password will be stored unencrypted in /root/.docker/config.json.

Configure a credential helper to remove this warning. See

https://docs.docker.com/engine/reference/commandline/login/#credentials-store

Login Succeeded

给要上传的镜像打标签

docker tag nginx 10.0.0.3/test/nginx:v1

上传镜像

root@CNCF-K8S-MD:/opt/harbor# docker pull 10.0.0.3/test/nginx:v1

Error response from daemon: unknown: repository test/nginx not found

root@CNCF-K8S-MD:/opt/harbor# docker push 10.0.0.3/test/nginx:v1

The push refers to repository [10.0.0.3/test/nginx]

51a4ac025eb4: Pushed

4ded77d16e76: Pushed

32359d2cd6cd: Pushed

4270b63061e5: Pushed

5f5f780b24de: Pushed

2edcec3590a4: Pushed

v1: digest: sha256:2e87d9ff130deb0c2d63600390c3f2370e71e71841573990d54579bc35046203 size: 157


下载镜像测试:

root@CNCF-K8S-MD:/opt/harbor# docker rmi 10.0.0.3/test/nginx:v1

Untagged: 10.0.0.3/test/nginx:v1

Untagged: 10.0.0.3/test/nginx@sha256:2e87d9ff130deb0c2d63600390c3f2370e71e71841573990d54579bc35046203

root@CNCF-K8S-MD:/opt/harbor# docker pull 10.0.0.3/test/nginx:v1

v1: Pulling from test/nginx

Digest: sha256:2e87d9ff130deb0c2d63600390c3f2370e71e71841573990d54579bc35046203

Status: Downloaded newer image for 10.0.0.3/test/nginx:v1

10.0.0.3/test/nginx:v1

安装完成

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