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Docker批量容器编排的实现

51自学网 2022-07-04 11:38:49
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简介

Dockerfile build run 是手动操作单个容器,假如使用微服务架构,需要启动 100 + 个容器,他们之间的依赖关系如何维护?
Docker Compose 用来轻松高效地管理容器,定义运行多个容器。

三个步骤:

  • Dockerfile
  • Services & docker-compose.yml
  • docker-compose up

初体验

1.Dockerfile

FROM python:3.7-alpineWORKDIR /codeENV FLASK_APP app.pyENV FLASK_RUN_HOST 0.0.0.0RUN apk add --no-cache gcc musl-dev linux-headersCOPY requirements.txt requirements.txtRUN pip install -r requirements.txtCOPY . .CMD ["flask", "run"]

2.Service

import timeimport redisfrom flask import Flaskapp = Flask(__name__)cache = redis.Redis(host='redis', port=6379)def get_hit_count():  retries = 5  while True:    try:      return cache.incr('hits')    except redis.exceptions.ConnectionError as exc:      if retries == 0:        raise exc      retries -= 1      time.sleep(0.5)@app.route('/')def hello():  count = get_hit_count()  return 'Hello World! I have been seen {} times./n'.format(count)

docker-compose.yml

version: '3'services:web: build: . ports:- "5000:5000" volumes:- .:/code - logvolume01:/var/log links:- redisredis: image: redisvolumes:logvolume01: {}docker-compose upStarting compose-demo_web_1  ... doneStarting compose-demo_redis_1 ... doneAttaching to compose-demo_redis_1, compose-demo_web_1redis_1 | 1:C 12 Sep 2020 07:34:09.654 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Ooredis_1 | 1:C 12 Sep 2020 07:34:09.655 # Redis version=6.0.7, bits=64, commit=00000000, modified=0, pid=1, just startedredis_1 | 1:C 12 Sep 2020 07:34:09.655 # Warning: no config file specified, using the default config. In order to specify a config file use redis-server /path/to/redis.confredis_1 | 1:M 12 Sep 2020 07:34:09.657 * Running mode=standalone, port=6379.redis_1 | 1:M 12 Sep 2020 07:34:09.657 # WARNING: The TCP backlog setting of 511 cannot be enforced because /proc/sys/net/core/somaxconn is set to the lower value of 128.redis_1 | 1:M 12 Sep 2020 07:34:09.657 # Server initializedredis_1 | 1:M 12 Sep 2020 07:34:09.658 # WARNING overcommit_memory is set to 0! Background save may fail under low memory condition. To fix this issue add 'vm.overcommit_memory = 1' to /etc/sysctl.conf and then reboot or run the command 'sysctl vm.overcommit_memory=1' for this to take effect.redis_1 | 1:M 12 Sep 2020 07:34:09.658 * Loading RDB produced by version 6.0.7redis_1 | 1:M 12 Sep 2020 07:34:09.658 * RDB age 156 secondsredis_1 | 1:M 12 Sep 2020 07:34:09.658 * RDB memory usage when created 0.77 Mbredis_1 | 1:M 12 Sep 2020 07:34:09.658 * DB loaded from disk: 0.000 secondsweb_1  | * Serving Flask app "app.py"web_1  | * Environment: productionweb_1  |  WARNING: This is a development server. Do not use it in a production deployment.web_1  |  Use a production WSGI server instead.web_1  | * Debug mode: offYML 文件规则version: "1.0" #版本services: #服务列表  service1:    #服务配置    container_name: #容器名称    depends_on: #依赖列表    - depend1    - depend2    images: #镜像    - image1    - image2    build:. #构建目录    network: #网络    ......  service2: test2    ......volumnes: #挂载目录列表networks: #网络列表configs: #其他配置

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