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• zookeeper
• kafka
• es

使用场景

本地、测试、生产环境使用一致的环境,不会导致本地与线上环境的差异.轻量级的docker可以满足.

前置条件

在安装应用之前需要安装docker.笔者是在vmware中安装的docker,因为迁移会比较方便

• vmware(非必要)
• docker
• docker-compose

使用docker-compose编排安装应用

前置条件已经安装了docker docker-compose.如何安装自行百度.
安装常用应用

• mysql
• tomcat
• docker-ui
• nginx
• redis
• jenkins
• kafka
• zookeeper
• es

在安装es之前需要设置虚拟内存不然会报错

设置虚拟内存虚拟内存
sudo sysctl -w vm.max_map_count=262144

1. 新建docker-compose.yml

volumes为挂载的目录,目的是为了让你修改的文件保存在你的本地目录中.这样容器删了就不会丢失数据.这个例子中我挂在的目录为./volumes/....这个目录可以自行修改

version: "2"
services:

    mysql:
      image: mysql/mysql-server:5.7.21
      ports:
        - "3306:3306"
      environment:
        MYSQL_ROOT_PASSWORD: "zxcv1234"
        MYSQL_ROOT_HOST: "%"
        TZ: Asia/Shanghai
      volumes:
        - "/home/mac/docker/volumes/mysql-5.7.21/datadiri:/var/lib/mysql"
      restart: always
      container_name: docker_mysql

    tomcat:
      image: dordoka/tomcat
      ports:
        - "9002:8080"
      environment:
         TZ: Asia/Shanghai
      volumes:
        - "./volumes/tomcat/webapps:/opt/tomcat/webapps"
        - "./volumes/tomcat/logs:/opt/tomcat/logs"
      restart: always
      container_name: docker_tomcat


    docker-ui:
      image: uifd/ui-for-docker
      ports:
        - "9000:9000"
      volumes:
        - "/var/run/docker.sock:/var/run/docker.sock"
      restart: always
      container_name: docker_ui

    nginx:
       image: daocloud.io/nginx
       ports:
         - "12000:80"
       environment:
         TZ: Asia/Shanghai
       volumes:
         - "./volumes/nginx/default.conf:/etc/nginx/conf.d/default.conf"
       restart: always
       container_name: docker_nginx

    jenkins:
       image: jenkins/jenkins:lts
       ports:
         - "12002:8080"
         - "12003:50000"
       environment:
         TZ: Asia/Shanghai
       volumes:
         - "./volumes/jenkins:/var/jenkins_home"
       restart: always
       container_name: docker_jenkins

    redis:
      image: redis:3.2
      ports:
        - "6379:6379"
      environment:
        TZ: Asia/Shanghai
      volumes:
        - "/etc/localtime:/etc/localtime"
      restart: always
      container_name: docker_redis

    zookeeper:
      image: wurstmeister/zookeeper
      ports:
        - "2181:2181"
      restart: always
      container_name: kafka_zookeeper_1

    kafka:
      image: wurstmeister/kafka
      volumes:
          - /etc/localtime:/etc/localtime
      ports:
        - "9092:9092"
      restart: always
      environment:
        KAFKA_ADVERTISED_HOST_NAME: 192.168.7.118
        KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      depends_on:
       - zookeeper
      container_name: kafka_1


    kafka-manager:
     image: sheepkiller/kafka-manager:latest
     ports:
      - "9001:9000"
     links:
      - zookeeper
      - kafka
     environment:
       ZK_HOSTS: zookeeper:2181
       APPLICATION_SECRET: letmein
       KM_ARGS: -Djava.net.preferIPv4Stack=true
     restart: always
     container_name: kafka_manager_1

    es:
      image: elasticsearch:5.6.4
      container_name: ezview_elasticsearch_1
      volumes:
         - "./volumes/es/data:/usr/share/elasticsearch/data"
         - "./volumes/es/config/es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml"
      ports:
         - "9200:9200"
         - "9300:9300"
      restart: always
      container_name: es_1

2. cd 到 docker-compose.yml, 执行docker-compose up -d

3. 执行完毕,查看docker运行状态
   docker-compose ps

          Name                        Command               State                         Ports
---------------------------------------------------------------------------------------------------------------------
      Name                     Command                  State                             Ports
----------------------------------------------------------------------------------------------------------------------
docker_jenkins      /sbin/tini -- /usr/local/b ...   Up             0.0.0.0:12003->50000/tcp, 0.0.0.0:12002->8080/tcp
docker_mysql        /entrypoint.sh mysqld            Up (healthy)   0.0.0.0:3306->3306/tcp, 33060/tcp
docker_nginx        nginx -g daemon off;             Up             0.0.0.0:12000->80/tcp
docker_redis        docker-entrypoint.sh redis ...   Up             0.0.0.0:6379->6379/tcp
docker_tomcat       /opt/tomcat/bin/catalina.s ...   Up             8009/tcp, 0.0.0.0:9002->8080/tcp
docker_ui           /ui-for-docker                   Up             0.0.0.0:9000->9000/tcp
es_1                /docker-entrypoint.sh elas ...   Up             0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp
kafka_1             start-kafka.sh                   Up             0.0.0.0:9092->9092/tcp
kafka_manager_1     ./start-kafka-manager.sh         Up             0.0.0.0:9001->9000/tcp
kafka_zookeeper_1   /bin/sh -c /usr/sbin/sshd  ...   Up             0.0.0.0:2181->2181/tcp, 22/tcp, 2888/tcp, 3888/tcp

测试应用是否都安装成功

因为我的docker是安装在本地虚拟机的linux系统上,首先查看虚拟机的ip地址172.16.217.128

虚拟机ubuntu ip地址.png

docker_ui

端口9000
访问http://172.16.217.128:9000.查看是否安装完成

image.png

jenkins

端口12002
访问http://172.16.217.128:12002.查看是否安装完成

jenkins.png

mysql

---
ip: 172.16.217.128
端口: 3306
账号: root
密码: zxcv1234
---

ps: 账号密码是在上文中的docker-compose.yml中设置的

使用数据库连接工具navicat(可以选择自己的连接工具,我这里使用这个)

image.png

image.png

数据库能够正常访问,测试通过

nginx

端口12000
访问http://172.16.217.128:12000.查看是否安装完成

image.png

页面能够正常访问,测试通过

redis

端口6379
访问redis,查看是否安装完成

image.png

tomcat

端口9001
访问http://172.16.217.128:9001.查看是否安装完成

image.png

zookeeper

kafka依赖于zookeeper,所以我们只要测试kafka就行了

kafka

image.png

es

image.png