How to ensure that data in Docker is not lost?

2 years ago
William Carter
2 minutes

To ensure that Docker data is not lost, the following measures can be taken:

  1. Persistent storage: when running a container, the data inside the container can be stored in the host’s persistent storage using Docker volumes or by binding mounts, mapping the container’s data directory to the host’s file system.
  2. For example, utilizing Docker volumes:
  3. Run the image with the command: docker run -v /host/path:/container/path image_name.
  4. For example, utilize binding mounting:
  5. Run the image with the read-only volume option, using the syntax -v /host/path:/container/path, where the image name is specified.
  6. In this way, even if the container is deleted or restarted, the data will still be present on the host machine and will not be lost.
  7. Regular backups: You can schedule regular backups of your container’s data to prevent data loss. You can use Docker commands like docker commit, docker export, and docker save to export the container’s data to an image or storage file, then save it to a secure location.
  8. For example, back up container data using the docker commit command.
  9. Create a new image with a specific name and tag based on a container ID.
  10. For instance, backup container data by using the docker export command.
  11. Export container ID to a tar file.
  12. Utilize a data volume container: Set up a dedicated container for storing and managing data so that other containers can access and store data by mounting this data volume container. This way, even if other containers are deleted or restarted, the data will still be preserved in the data volume container.
  13. For example, create a data volume container:
  14. Create a Docker volume container with the name specified and link it to the image, mounting a specified path inside the container.
  15. For example, utilize data volume containers:
  16. Run a container with volumes from a data volume container using the specified image.
  17. Utilizing container orchestration tools like Docker Swarm or Kubernetes can help in managing multiple containers, ensuring high availability, and providing data redundancy to prevent data loss. These tools can automate container failover and data backups, ensuring data persistence and reliability.
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