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这篇文章主要介绍“Docker service启动的方法是什么”,在日常操作中,相信很多人在Docker service启动的方法是什么问题上存在疑惑,小编查阅了各式资料,整理出简单好用的操作方法,希望对大家解答”Docker service启动的方法是什么”的疑惑有所帮助!接下来,请跟着小编一起来学习吧!
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######################### Dockerfile ######################### # Dockerfile文件定义了image环境,工作空间,网络端口,执行命令 # # Use an official Python runtime as a parent image FROM python:2.7-slim # Set the working directory to /app WORKDIR /app # Copy the current directory contents into the container at /app ADD . /app # Install any needed packages specified in requirements.txt RUN pip install -r requirements.txt # Make port 80 available to the world outside this container EXPOSE 80 # Define environment variable ENV NAME World # Run app.py when the container launches CMD ["python", "app.py"]
######################### requirements.txt ######################### # 应用依赖 # Flask redis
######################### app.py ######################### #应用 from flask import Flask from redis import Redis, RedisError import os import socket # Connect to Redis redis = Redis(host="redis", db=0, socket_connect_timeout=2, socket_timeout=2) app = Flask(__name__) @app.route("/") def hello(): try: visits = redis.incr("counter") except RedisError: visits = "cannot connect to Redis, counter disabled" html = "Hello {name}!
" \ "Hostname: {hostname}
" \ "Visits: {visits}" return html.format(name=os.getenv("NAME", "world"), hostname=socket.gethostname(), visits=visits) if __name__ == "__main__": app.run(host='0.0.0.0', port=80)
# 宿主机新建image目录 $ ls Dockerfile app.py requirements.txt # docker命令会把指令发送给指定的machine,默认是本机,可通过docker-machine env 虚拟机 docker build -t friendlyname . # Create image using this directory's Dockerfile # 注册image到machine的image注册表 docker run -p 4000:80 friendlyname # Run "friendlyname" mapping port 4000 to 80 docker run -d -p 4000:80 friendlyname # Same thing, but in detached mode # 运行image,以container形式 docker container ls # List all running containers docker container ls -a # List all containers, even those not running docker container stop# Gracefully stop the specified container docker container kill # Force shutdown of the specified container docker container rm # Remove specified container from this machine docker container rm $(docker container ls -a -q) # Remove all containers docker image ls -a # List all images on this machine docker image rm # Remove specified image from this machine docker image rm $(docker image ls -a -q) # Remove all images from this machine # 删除image需要停止相关的container docker login # Log in this CLI session using your Docker credentials docker tag username/repository:tag # Tag for upload to registry # 标记image docker push username/repository:tag # Upload tagged image to registry # 将标记的image发布到Docker账号/存储库 docker run -p 4000:80 username/repository:tag # Run image from a registry 服务器端口:服务端口
######################### docker-compose.yml ######################### version: "3" services: web: # replace username/repo:tag with your name and image details image: username/repository:tag deploy: replicas: 5 resources: limits: cpus: "0.1" memory: 50M restart_policy: condition: on-failure ports: - "80:80" networks: - webnet networks: webnet: # 从注册表中拉出上传的图像。 # 运行该映像的5个实例作为调用的服务web,限制每个实例使用,最多使用10%的CPU(跨所有内核)和50MB的RAM。 # 如果发生故障,立即重新启动容器。 # 将主机上的端口80映射到web80端口。 # 指示web容器通过称为负载平衡网络共享端口80 webnet。(在内部,集装箱本身将web在短暂的港口发布到 80号港口。) # webnet使用默认设置(这是一个负载平衡的覆盖网络)来定义网络。
以service启动
docker-compose up $ docker-compose ps WARNING: Some services (visualizer, web) use the 'deploy' key, which will be ignored. Compose does not support 'deploy' configuration - use `docker stack deploy` to deploy to a swarm. Name Command State Ports ------------------------------------------------------------------ new2_visualizer_1 npm start Up 0.0.0.0:8083->8080/tcp new2_web_1 python app.py Up 0.0.0.0:4003->80/tcp
以stack启动
docker stack ls # List stacks or apps docker swarm init docker stack deploy -c docker-compose.yml getstartedlab # Run the specified Compose file docker service ls # List running services associated with an app docker service ps getstartedlab_web # List tasks associated with an app curl 192.168.2.249 docker stack rm getstartedlab # Tear down an application docker swarm leave --force # Take down the swarm docker inspect# Inspect task or container docker container ls -q # List container IDs
docker-machine create --driver virtualbox myvm1 # Create a VM (Mac, Win7, Linux) docker-machine create -d hyperv --hyperv-virtual-switch "myswitch" myvm1 # Win10 docker-machine create --engine-insecure-registry 192.168.1.112:5000 x-node1 dicker-machine ls NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS x-master * virtualbox Running tcp://192.168.99.131:2376 v17.09.0-ce x-node1 - virtualbox Running tcp://192.168.99.132:2376 v17.09.0-ce docker-machine env x-master # View basic information about your node docker-machine ssh x-master "docker swarm init --advertise-addr" docker-machine ssh x-master "docker node ls" # List the nodes in your swarm docker-machine ssh x-master "docker swarm join-token manager" docker-machine ssh x-node1 "docker swarm join --token SWMTKN-1-1mw72ip89hsz351lbbhvuj97nj4x5q5vs6zk1zidtcs093isvq-7y6kwg6emzyhokesi7zn7d1qt 192.168.99.131:2377" docker-machine ssh x-master "docker node ls" # List the nodes in your swarm docker stack deploy -c docker-compose.yml getstartedlab # swarms开启service docker stack ps getstartedlab curl 192.168.2.249 curl 192.168.99.131 curl 192.168.99.132 docker stack rm getstartedlab
######################### docker-compose.yml ######################### version: "3" services: web: # replace username/repo:tag with your name and image details image: username/repo:tag deploy: replicas: 5 restart_policy: condition: on-failure resources: limits: cpus: "0.1" memory: 50M ports: - "80:80" networks: - webnet visualizer: image: dockersamples/visualizer:stable ports: - "8080:8080" volumes: - "/var/run/docker.sock:/var/run/docker.sock" deploy: placement: constraints: [node.role == manager] networks: - webnet networks: webnet: # 增加stack的service
到此,关于“Docker service启动的方法是什么”的学习就结束了,希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习,快去试试吧!若想继续学习更多相关知识,请继续关注创新互联网站,小编会继续努力为大家带来更多实用的文章!