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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，丸趣 TV 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，请跟着丸趣 TV 小编一起来学习吧！
Containers
######################### 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 #########################
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 = i cannot connect to Redis, counter disabled /i
html = h4 Hello {name}! /h4 \
b Hostname: /b {hostname} br/ \
b Visits: /b {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 hash # Gracefully stop the specified container
docker container kill hash # Force shutdown of the specified container
docker container rm hash # 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 image id # 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 image username/repository:tag # Tag image 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 Service
######################### 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 task or container # Inspect task or container
docker container ls -q # List container IDsSwarms
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 x-master ip
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 getstartedlabStacks
######################### 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，请继续关注丸趣 TV 网站，丸趣 TV 小编会继续努力为大家带来更多实用的文章！
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