Docker Volume - How to Create, Manage and Populate in Docker

Docker Volume - How to Create, Manage and Populate in Docker

What is a Docker Volume and Mounts in Docker? How To create data volume from Dockerfile? Docker volume commands and application in real-life. How to populate a Docker data volume using a container? What is a Volume driver?

Volumes store the data generated by Docker. Using Docker Volume,we can achieve data persistence within Docker Containers. We can share directories between container and container versions using Docker Volumes. Also, we can upgrade containers, restart machines or share data without losing it. So let us discuss more of the Data persistence and Docker Volumes in this article. We will cover the following topics as part of this tutorial.

  • How to manage data in Docker?
    • Volume vs. Bind Mount in Docker
    • How to use Mounts in Docker?
    • How to use data volumes?
  • The -v or -mount flag?
  • Create and manage Docker data volumes.
  • How to use data volumes with docker-compose?
  • What are read-only data volumes?
  • Start a container/service with Docker data volume
  • How to populate a Docker data volume using a container?
  • What is a Volume driver?
    • Initial set-up – docker plugin install command
    • Create a data volume using a volume driver – docker volume create command
    • Start a container that creates a volume using a volume driver
  • Backup, restore, migrate, or remove data volumes in Docker
    • Backup a container
    • Restore container from backup
    • Remove docker volume

How to manage data in Docker?

We know that Docker has a layered storage implementation that aids in portability, efficiency, and faster performance. This storage implementation is also optimal for retrieving, storing, and transferring images across various environments. When we delete a Docker container, all the data associated or written to the container is deleted with it. So there is a need to persist the container data somehow even when the container gets deleted so that we need not worry about data and persist this data after the container ceases to exist.

Hence there is a need to persist data in containers. One of the best-recommended practices is the isolation of data from the container to retain the benefits of containerization. Here we keep data management distinctly separate from container lifecycle. We can implement multiple strategies to persist data or add persistence to containers that we will discuss next.

docker docker volume

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