最流行的容器编排工具

Docker批量容器编排的实现

本文详细介绍了Docker批量容器编辑的完成。原文根据示例代码非常详细，对大家的学习或者工作都有一定的参考价值。有需要的朋友会陪我一起学习。

简介

Dockerfile构建运行是手动 *** 作的单个容器。如果应用微服务架构，必须启动100个容器。如何维护他们的依赖关系？
DockerCompose用于轻松高效地管理方法容器，定义几个可以工作的容器。

三个过程:

构建

服务与营销。docker-compose.yml

docker-排版

初尝

1.Dockerfile

FROMpython:3.7-alpine WORKDIR/code ENVFLASK_APPapp.py ENVFLASK_RUN_HOST0.0.0.0 RUNapkadd--no-cachegccmusl-devlinux-headers COPYrequirements.txtrequirements.txt RUNpipinstall-rrequirements.txt COPY.. CMD["flask","run"]

2.服务

importtime importredis fromflaskimportFlask app=Flask(__name__) cache=redis.Redis(host='redis',port=6379) defget_hit_count(): retries=5 whileTrue: try: returncache.incr('hits') exceptredis.exceptions.ConnectionErrorasexc: ifretries==0: raiseexc retries-=1 time.sleep(0.5) @app.route('/') defhello(): count=get_hit_count() return'HelloWorld!Ihavebeenseen{}times.\n'.format(count)

docker-compose.yml

version:'3' services: web: build:. ports: -"5000:5000" volumes: -.:/code -logvolume01:/var/log links: -redis redis: image:redis volumes: logvolume01:{} docker-composeup Startingcompose-demo_web_1...done Startingcompose-demo_redis_1...done Attachingtocompose-demo_redis_1,compose-demo_web_1 redis_1|1:C12Sep202007:34:09.654#oO0OoO0OoO0OoRedisisstartingoO0OoO0OoO0Oo redis_1|1:C12Sep202007:34:09.655#Redisversion=6.0.7,bits=64,commit=00000000,modified=0,pid=1,juststarted redis_1|1:C12Sep202007:34:09.655#Warning:noconfigfilespecified,usingthedefaultconfig.Inordertospecifyaconfigfileuseredis-server/path/to/redis.conf redis_1|1:M12Sep202007:34:09.657*Runningmode=standalone,port=6379. redis_1|1:M12Sep202007:34:09.657#WARNING:TheTCPbacklogsettingof511cannotbeenforcedbecause/proc/sys/net/core/somaxconnissettothelowervalueof128. redis_1|1:M12Sep202007:34:09.657#Serverinitialized redis_1|1:M12Sep202007:34:09.658#WARNINGovercommit_memoryissetto0!Backgroundsavemayfailunderlowmemorycondition.Tofixthisissueadd'vm.overcommit_memory=1'to/etc/sysctl.confandthenrebootorrunthecommand'sysctlvm.overcommit_memory=1'forthistotakeeffect. redis_1|1:M12Sep202007:34:09.658*LoadingRDBproducedbyversion6.0.7 redis_1|1:M12Sep202007:34:09.658*RDBage156seconds redis_1|1:M12Sep202007:34:09.658*RDBmemoryusagewhencreated0.77Mb redis_1|1:M12Sep202007:34:09.658*DBloadedfromdisk:0.000seconds web_1|*ServingFlaskapp"app.py" web_1|*Environment:production web_1|WARNING:Thisisadevelopmentserver.Donotuseitinaproductiondeployment. web_1|UseaproductionWSGIserverinstead. web_1|*Debugmode:off YML文档标准 version:"1.0"#版本号 services:#服务项目目录 service1: #服务项目配备 container_name:#容器名字 depends_on:#依靠目录 -depend1 -depend2 images:#镜像系统 -image1 -image2 build:.#搭建文件目录 network:#互联网 ...... service2:test2 ...... volumnes:#初始化文件目录目录 networks:#互联网目录 configs:#别的配备

至此，这篇关于Docker的海量容器编辑完成的文章已经在这里详细介绍过了。有关Docker的海量容器编辑的大量内容，请搜索您以前的文章或再次访问下面的相关文章。期待你以后的申请！