一. Ubuntu16.04+Django+Redis+Nginx的Web項(xiàng)目Docker化

1.創(chuàng)建Django項(xiàng)目的image

# 創(chuàng)建項(xiàng)目image 執(zhí)行 docker build -t ccnu_resource_pub -f docker/app/Dockerfile . # 把ubuntu:xenial作為基礎(chǔ)鏡像 如果不存在則pull遠(yuǎn)程 FROM ubuntu:xenial# 把docker/common/sources.list 拷貝到鏡像里的文件系統(tǒng)中 ADD ./docker/common/sources.list /etc/apt/sources.list# 運(yùn)行l(wèi)inux指令 RUN apt-get -y update# PYTHON環(huán)境 WORKDIR /proj # 把requirements.txt拷貝到/proj文件下 ADD requirements.txt /proj RUN apt-get install -y python python-dev python3 python3-dev python3-pip RUN apt-get install -y libmysqlclient-dev RUN pip3 install --trusted-host pypi.python.org -r requirements.txt RUN pip3 install uwsgi# ES日志目錄 RUN mkdir -p /var/log/ccnu_resource RUN chmod -R 777 /var/log/ccnu_resource View Code

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2.創(chuàng)建Nginx的image

# 創(chuàng)建nginx的image docker build -t ccnu_resource_pub_nginx -f docker/nginx/Dockerfile .FROM ubuntu:xenialADD ./docker/common/sources.list /etc/apt/sources.listRUN apt-get -y update && apt-get -y update --fix-missing && apt-get -y updateRUN apt-get install -y nginx View Code

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3.創(chuàng)建Redis的image

# 創(chuàng)建Redis的image docker build -t ccnu_resource_pub_redis -f docker/redis/Dockerfile .FROM ubuntu:xenialADD ./docker/common/sources.list /etc/apt/sources.list RUN apt-get -y update && apt-get -y update --fix-missing && apt-get -y updateRUN apt-get install -y redis-server View Code

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4.創(chuàng)建docker-compose.yml

# version表示定義的 docker-compose.yml 文件內(nèi)容所采用的版本，目前 Docker Compose 的配置文件已經(jīng)迭代至了第三版 version: "3"# docker-compose.yml 的核心部分，定義了容器的各項(xiàng)細(xì)節(jié) services:redis: # 指定鏡像image: ccnu_resource_pub_redis:latest # 端口映射 最好使用引號將端口映射的定義包裹起來,由于 YAML 格式對 xx:yy 這種格式的解析有特殊性，在設(shè)置小于 60 的值時(shí)，會(huì)被當(dāng)成時(shí)間而不是字符串來處理ports:- "6379:6379"command: redis-server --appendonly yeslogging:driver: "json-file"options:max-size: "200k"max-file: "10"web:image: ccnu_resource_pub:latestports:- "8000:8000"command: python3 manage.py runserver 0.0.0.0:8000logging:driver: "json-file"options:max-size: "200k"max-file: "10" # 以 Compose 配置文件為中心的相對路徑作為數(shù)據(jù)卷掛載到容器volumes:- .:/proj# 依賴 表示啟動(dòng)web的compose前需先啟動(dòng) redisdepends_on:- rediscelery:image: ccnu_resource_pub:latestcommand: celery worker -A ccnu_resource -l infologging:driver: "json-file"options:max-size: "200k"max-file: "10"depends_on:- webvolumes:- .:/proj View Code

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二. 單機(jī)ELK部署Docker化

1. 進(jìn)入ELK的docker網(wǎng)址(可能要FQ) https://www.docker.elastic.co/，選擇最新穩(wěn)定版6.54版

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?使用官方提供的docker-compose.yml創(chuàng)建ES的docker-compose.yml

version: '2.2' services:elasticsearch:image: docker.elastic.co/elasticsearch/elasticsearch:6.5.4container_name: elasticsearchenvironment:- cluster.name=docker-cluster- bootstrap.memory_lock=true- "ES_JAVA_OPTS=-Xms512m -Xmx512m"ulimits:memlock:soft: -1hard: -1volumes:- esdata1:/usr/share/elasticsearch/dataports:- 9200:9200networks:- esnetelasticsearch2:image: docker.elastic.co/elasticsearch/elasticsearch:6.5.4container_name: elasticsearch2environment:- cluster.name=docker-cluster- bootstrap.memory_lock=true- "ES_JAVA_OPTS=-Xms512m -Xmx512m"- "discovery.zen.ping.unicast.hosts=elasticsearch"ulimits:memlock:soft: -1hard: -1volumes:- esdata2:/usr/share/elasticsearch/datanetworks:- esnetvolumes:esdata1:driver: localesdata2:driver: localnetworks:esnet: View Code

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2. 然后進(jìn)入配置頁面https://www.elastic.co/guide/en/logstash/6.5/docker-config.html， 查看Logstash的docker配置

logstash: image: docker.elastic.co/logstash/logstash:6.5.4container_name: logstash networks:- esnetdepends_on: - elasticsearch- elasticsearch2environment:- "LS_JAVA_OPTS=-Xms512m -Xmx512m" View Code

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3.?然后進(jìn)入配置頁面https://www.elastic.co/guide/en/kibana/6.5/docker.html， 查看Kibana的docker配置

kibana:image: docker.elastic.co/kibana/kibana:6.5.4container_name: kibanaports:- "5601:5601"networks:- esnetdepends_on:- elasticsearch- elasticsearch2 View Code

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4. 整合docker-compose.ym

version: '2.2' services:elasticsearch:image: docker.elastic.co/elasticsearch/elasticsearch:6.5.4container_name: elasticsearchenvironment:- cluster.name=docker-cluster- bootstrap.memory_lock=true- "ES_JAVA_OPTS=-Xms512m -Xmx512m"ulimits:memlock:soft: -1hard: -1volumes:- esdata1:/usr/share/elasticsearch/dataports:- 9200:9200networks:- esnetelasticsearch2:image: docker.elastic.co/elasticsearch/elasticsearch:6.5.4container_name: elasticsearch2environment:- cluster.name=docker-cluster- bootstrap.memory_lock=true- "ES_JAVA_OPTS=-Xms512m -Xmx512m"- "discovery.zen.ping.unicast.hosts=elasticsearch"ulimits:memlock:soft: -1hard: -1volumes:- esdata2:/usr/share/elasticsearch/datanetworks:- esnetlogstash: image: docker.elastic.co/logstash/logstash:6.5.4container_name: logstash networks:- esnetdepends_on: - elasticsearch- elasticsearch2environment:- "LS_JAVA_OPTS=-Xms512m -Xmx512m"kibana:image: docker.elastic.co/kibana/kibana:6.5.4container_name: kibanaports:- "5601:5601"networks:- esnetdepends_on:- elasticsearch- elasticsearch2volumes:esdata1:driver: localesdata2:driver: localnetworks:esnet: View Code

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配置好后，執(zhí)行sudo docker-compose up即可成功啟動(dòng)ELK

轉(zhuǎn)載于:https://www.cnblogs.com/FG123/p/10091729.html

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