This is awesome because when you want to pull an image that depends on those, or when you are building an image, all of these are locally available. This is done so that it has the necessary images in the local ‘cache’. Remove unwanted ‘dangling’ images.ĭocker keeps all of the images that you have used in the disk, even if those are not actively running. It just means that there’s nothing to delete and you are good to go. If there are no such containers you will see an error message like below.ĭocker: “rm” requires a minimum of 1 argument.
![docker remove container docker remove container](https://www.linuxcommands.site/wp-content/uploads/2020/02/image-39-1024x289.png)
The -v flag is there to remove any containers that will no longer be needed. docker rm -v $(docker ps -a -q -f status=exited) To clean up the exited containers, the command to use is as follows. You can see all of the containers with ‘docker ps -a’ command. When a docker container exists, the container is not deleted automatically. Make sure that exited containers are deleted. So we looked around for a solution and came across the following. A quick df -h showed that /var/lib/docker was growing to the point where it pretty much covered the entire disk. What we noticed was that over time, docker seem to eat up the disk space of the host. Probably I will blog more about it when I get a chance. Once built, the image is then pushed to our servers through an Ansible playbook.
![docker remove container docker remove container](https://www.blackdown.org/wp-content/uploads/2019/03/How-to-Remove-Images-with-Docker.jpg)
![docker remove container docker remove container](https://i0.wp.com/techdirectarchive.com/wp-content/uploads/2021/10/How-to-stop-remove-and-manage-docker-container.jpg)
We run Docker on Amazon Linux, and we have a build server that builds docker images as part of our build pipeline. However, one problem that we came across when we used Docker is the insane disk usage of it. We started dockerizing some of our applications recently, and I got to say, that I am in love with Docker! It’s an awesome piece of engineering, and on AWS EC2, it made our lives much easier.