Table of Contents
Save the Docker container
Do not save Docker containers
Summary
Home Operation and Maintenance Docker What should I do if docker does not save the container?

What should I do if docker does not save the container?

Apr 04, 2023 am 09:12 AM

In the process of using Docker, we often encounter a problem: Do we need to save Docker containers, or in other words, how should we handle these containers correctly?

As one of the most popular containerization tools currently, Docker’s elegance lies in the lightweight virtualization services it provides. Compared with deploying applications directly on physical machines, Docker runs applications inside containers, achieving isolation of hardware and software resources and ensuring the independence and portability of applications.

However, when using Docker, we may encounter problems with container storage. Under normal circumstances, we have to save these containers to ensure that the container data can be retained for later restarting. However, when we use Docker for short-term testing or development, we may not need to save these containers. Next, we will explore the question: under what circumstances do we need to save Docker containers, or under what circumstances should we abandon these containers.

Save the Docker container

When we need to save the Docker container, when using the docker commit command, we need to pay attention to the following points:

  1. Take appropriate container snapshots

Before running the Docker container, we need some preparation work. We need to determine the number and location of container snapshots to ensure the quality of container snapshots. We can create a container snapshot with the following command:

$ docker commit <container-id> [<repository>[:<tag>]]
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This command will create a new snapshot of the container and save it on the local disk. You can customize the name of a container image by specifying the repository name and label after the container identifier.

  1. Develop a strategy for saving containers

We must decide when we need to save containers and how to save them. For a test environment, you can simply delete the container. For production environments, we should archive Docker containers so that they can be restored or redeployed when needed.

  1. Use Docker Volume to manage data

Docker Volume allows us to create a persistent data volume inside the Docker container to store important data. Through Docker Volume, we can easily manage the data in the container without worrying about the loss of data when the container is deleted.

Do not save Docker containers

When we do not need to save Docker containers, we can use the following methods:

  1. Clean up outdated Docker containers

Deleting obsolete Docker containers is a good way to keep your host clean. By using the docker rm command, we can delete a container. If you want to delete all outdated containers at once, you can use the following command:

$ docker rm $(docker ps --filter "status=exited" -q)
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This command will delete all exited containers.

  1. Not using the docker commit command

When running a short test task, we may not need to save the Docker container, so it is not necessary to use the docker commit command takes a snapshot of the container. Doing so saves time and space, as well as preventing snapshots from consuming too many resources.

  1. Do not enable Docker containers

When we do not need to use the Docker container immediately, we can exit the container directly and start the container again when needed later. Doing this avoids tying up too many resources.

Summary

When using Docker, we must pay attention to the issue of container storage. When we need to save containers, we should develop a storage strategy and use Docker Volume to manage data. When not saving the container, we should clean up the outdated container, do not use the docker commit command, or temporarily not enable the Docker container. By correctly handling these issues, we can avoid the rapid growth of Docker containers and effectively manage resources, thereby improving the performance and performance of Docker and better supporting application development and deployment.

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