Docker集装箱管理在生产环境中 [英] Docker Container management in production environment

问题描述

也许我错过了Docker文档中的某些内容，但我很好奇，找不到答案：

如果他们应该错误/关闭/ etc？

另外，如果许多函数必须通过docker运行命令完成，比如说例如卷挂载或链接，那么如何才能完成整个容器的完整配置没有使用码头组合的应用程序？ （因为他们说没有准备就绪）

解决方案

什么机制用于重新启动docker容器如果他们错误/关闭/ etc？

Docker重新启动策略，设置为 - restart code> docker run 。从 docker-run（1）手册页：

  restart =
重新启动一个容器退出时应用的策略（no，on-fail- 
 ure [：max-retry]，总是）
  pre> 
 
 
 
 
此外，如果许多功能必须通过docker运行命令完成，比如说音量挂起或链接，完成一个应用程序而不使用docker组合的整个容器集群？
 
 
嗯，你当然可以使用 docker-compose 如果这是最符合您要求的，即使没有标记为生产就绪。
 
 
 
您可以调查较大的集装箱管理解决方案，如 Kubernetes 甚至 OpenStack （虽然我不会推荐后者，除非你已经熟悉Ope nStack）。
 
 
 
您可以为每个容器制作单独的systemd单元文件。
 
Maybe I missed something in the Docker documentation, but I'm curious and can't find an answer: 

What mechanism is used to restart docker containers if they should error/close/etc? 

Also, if many functions have to be done via a docker run command, say for instance volume mounting or linking, how does one bring up an entire hive of containers which complete an application without using docker compose? (as they say it is not production ready)
解决方案

  
What mechanism is used to restart docker containers if they should error/close/etc? 
Docker restart policies, as set with the --restart option to docker run. From the docker-run(1) man page:
   --restart=""
      Restart policy  to  apply  when  a  container  exits  (no,  on-fail‐
   ure[:max-retry], always)



  
Also, if many functions have to be done via a docker run command, say for instance volume mounting or linking, how does one bring up an entire hive of containers which complete an application without using docker compose?
Well, you can of course use docker-compose if that is the best match for your requirements, even if it is not labelled as "production ready".

You can investigate larger container management solutions like Kubernetes or even OpenStack (although I would not recommend the latter unless you are already familiar with OpenStack).

You could craft individual systemd unit files for each container.

                        
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