docker安装Nginx
docker search nginx 搜索镜像
或者在docker Hub上搜索
https://hub.docker.com/search?q=nginx&type=image
我们可以进入了解详情！
docker pull nginx 下载镜像
root@ai1:~# docker pull nginx
Using default tag: latest
latest: Pulling from library/nginx
8559a31e96f4: Pull complete
8d69e59170f7: Pull complete
3f9f1ec1d262: Pull complete
d1f5ff4f210d: Pull complete
1e22bfa8652e: Pull complete
Digest: sha256:21f32f6c08406306d822a0e6e8b7dc81f53f336570e852e25fbe1e3e3d0d0133
Status: Downloaded newer image for nginx:latest
docker.io/library/nginx:latest
启动镜像
docker run -d --name nginx01 -p 3344:80 nginx
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
0828c6be1dd5 nginx "/docker-entrypoint.…" 24 seconds ago Up 23 seconds 0.0.0.0:3344->80/tcp nginx01
在流量器可以访问到，页面显示如上，表示我们的nginx安装(容器启动)成功了
进入容器
docker exec -it nginx01 /bin/bash
root@0828c6be1dd5:/# whereis nginx
nginx: /usr/sbin/nginx /usr/lib/nginx /etc/nginx /usr/share/nginx
root@0828c6be1dd5:/# cd /etc/nginx
root@0828c6be1dd5:/etc/nginx# ls
conf.d koi-utf mime.types nginx.conf uwsgi_params
fastcgi_params koi-win modules scgi_params win-utf
停止容器
docker stop 容器id
启动容器
docker start 容器id(或容器名)
docker安装tomcat
下载并运行
下载镜像
elfin@master1-machine:~$ docker pull tomcat:9.0
9.0: Pulling from library/tomcat
e9afc4f90ab0: Already exists
989e6b19a265: Already exists
af14b6c2f878: Already exists
5573c4b30949: Already exists
fb1a405f128d: Pull complete
612a9f566fdc: Pull complete
cf63ebed1142: Pull complete
fbb20561cd50: Pull complete
e99c920870d7: Pull complete
b7f793f2be47: Pull complete
Digest: sha256:81c2a95e5b1b5867229d75255abe54928d505deb81c8ff8949b61fde1a5d30a1
Status: Downloaded newer image for tomcat:9.0
docker.io/library/tomcat:9.0
启动容器
# 没有指定tomcat的版本所以会下载最新版
$ docker run -d --name tomcat01 -p 3344:8080 tomcat
Unable to find image 'tomcat:latest' locally
latest: Pulling from library/tomcat
Digest: sha256:81c2a95e5b1b5867229d75255abe54928d505deb81c8ff8949b61fde1a5d30a1
Status: Downloaded newer image for tomcat:latest
63e9b165d2b992630f28e8844a0b36cbcad16043dee7ba6c4020e50c4534de82
# 之前我们已经下载了9.0版本，所以有两个版本
$ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
tomcat 9.0 2eb5a120304e 3 weeks ago 647MB
tomcat latest 2eb5a120304e 3 weeks ago 647MB
nginx latest 2622e6cca7eb 3 weeks ago 132MB
hello-world latest bf756fb1ae65 6 months ago 13.3kB
# 查看当前的容器
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
63e9b165d2b9 tomcat "catalina.sh run" 34 seconds ago Up 31 seconds 8080/tcp, 0.0.0.0:3344->1002/tcp tomcat01
$
进入容器
# 进入容器
$ docker exec -it tomcat01 /bin/bash
root@63e9b165d2b9:/usr/local/tomcat# ls
BUILDING.txt LICENSE README.md RUNNING.txt conf logs temp webapps.dist
CONTRIBUTING.md NOTICE RELEASE-NOTES bin lib native-jni-lib webapps work
# linux中的ll命令被阉割了
root@63e9b165d2b9:/usr/local/tomcat# ll
bash: ll: command not found
# tomcat的webapps下面没有任何应用；原因是：默认最小可运行的环境！
root@63e9b165d2b9:/usr/local/tomcat# cd webapps
root@63e9b165d2b9:/usr/local/tomcat/webapps# ls
root@63e9b165d2b9:/usr/local/tomcat/webapps#
# 将项目复制到webapps目录
root@63e9b165d2b9:/usr/local/tomcat# cp -r webapps.dist/* webapps/
root@63e9b165d2b9:/usr/local/tomcat# ls
BUILDING.txt LICENSE README.md RUNNING.txt conf logs temp webapps.dist
CONTRIBUTING.md NOTICE RELEASE-NOTES bin lib native-jni-lib webapps work
root@63e9b165d2b9:/usr/local/tomcat# cd webapps
root@63e9b165d2b9:/usr/local/tomcat/webapps# ls
ROOT docs examples host-manager manager
添加应用之前：
添加应用之后：
思考
我们以后要部署项目，如果每次都要进入容器不是十分麻烦？我要是可以在容器外部提供一个映射路径，webapps,我们在外部放置项目能自动同步到内部就好了！
docker部署es + Kibana
es 暴露的端口很多！
es 十分耗内存
es 的数据一般需要放置到安全目录
下载并启动
--net somenetwork 配置网络
# 创建用户定义的网络（用于连接到连接到同一网络的其他服务（例如，Kibana））
$ docker network create somenetwork
# 启动elasticsearch
$ docker run -d --name elasticsearch --net somenetwork -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:tag
# 查看cpu的状态
CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS
59b5ccfa71b0 elasticsearch 0.36% 1.237GiB / 3.83GiB 32.31% 7.07kB / 0B 1.16MB / 729kB 48
# 启动之后机器就很卡了？怎么解决？
# 我这里并不卡，如果你的资源有限可能会很卡，此时elasticsearch内存直接占了32.31%
# 增加ES的内存限制
-e ES_JAVA_OPTS="-Xms64m -Xmx1024m"
$ docker run -d --name elasticsearch --net somenetwork -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx1024m" elasticsearch:7.6.2
# 内存占用
$ docker stats
----------------------------------------------------------------------
CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS
eeb9d777725f elasticsearch02 1.09% 383.3MiB / 3.83GiB 9.77% 2.9kB / 0B 4.1kB / 729kB 46
----------------------------------------------------------------------
# 上面通过添加参数启动，我们控制了内存的占用
思考
elasticsearch已经安装了，Kibana如何安装连接？(两个容器)------>见docker的网络原理！