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The docker container has several states, and this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible way.

How many states are there in the docker container? As the most eye-catching implementation of the application container, docker has developed rapidly in recent years, and has become the factual standard of the application container. Many enterprises at home and abroad have applied it to the production system.

In the life cycle of a docker container, a docker container is roughly divided into the following three states from generation to operation and deployment:

Dockerfile

For the template files used to create image images, for management and security reasons, docker officially recommends that all image files should be created by dockerfile. At present, many users use docker as a virtual machine, or even install SSH in containers, which is inappropriate from a security point of view.

Image

Image file, compared with the concept of the PC side, we can understand it as an executable software package on the server side. Once the packaging is generated, if there are security problems, these problems are also packaged, resulting in security events.

Container

The running image file is the container, and from outside it is an application that can provide services to the outside world.

So it is not difficult to find that the life cycle of a docker container is a process in which an image file is generated, run, and stopped.

In a general enterprise, a standard product release process is roughly as follows: developers submit the code to the code base; QA and security personnel compile and test it through tools such as jekins; after the test is completed, the operation and maintenance personnel obtain the final online version and release it to the production environment. It may also be released directly to the production environment after the test is completed.

To simplify the complexity, the docker life cycle can be divided into two stages, the non-production environment stage and the production environment stage. The goal of the security control of these two stages is to ensure the security and credibility of the image in the non-production environment and the correct operation of the image in the production environment.

The answers to several state questions about docker containers are shared here. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel for more related knowledge.

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