Configuring storage in Docker

Configuring Docker stores is a process that allows you to set certain parameters and settings for the stores used in Docker containers. Docker stores allow you to store and manage data inside containers.

What customization is for

Docker customization allows you to manage and configure the stores that are used to save data within Docker containers. This is important to ensure the resiliency and reliability of applications running in containers.

By customizing storage, you can:

1. Create and delete vaults to save container data.
2. Connect them to containers so that data can be accessed and saved between container runs.
3. Use external storage, such as NFS or Amazon EBS, to save container data on remote servers or in the cloud.
4. Manage vaults, view the list of available vaults, and delete unnecessary ones.

Storage customization allows you to create and manage persistent data in containers, which is an important part of deploying applications in a Docker environment.

How customization is done

Configuring Docker storage involves the following steps:

1. Create storage: in Docker, you must use the docker volume create <Volome_name> command. For example:

   docker volume create my_volume

2. Connecting the storage to the container: when starting the container, you can specify the storage connection using the -v or --mount option. For example:

   docker run -v my_volume:/path/to/mount <image_name>

3. Using storage in a Dockerfile: in a Dockerfile, you can specify where to mount storage using the VOLUME instruction. For example:

   VOLUME /path/to/mount

4. Managing vaults: you can use the docker volume ls command to view a list of all vaults. To delete, the docker volume rm <Volume_Name> command is used . For example:

   docker volume rm my_volume

5. Using external storage: Docker also allows you to use NFS or Amazon EBS. To do so, you must specify the appropriate driver when creating or running the container.

Configuring Docker storage may vary depending on the platform you are using (Linux, Windows, macOS) and the specific requirements of your project.