Docker Volume Dirty Backup & Restore (DVDBR)

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🚀 Quick Start

Script:

GitHub - DVDBR.sh
ltgs.wiki mirror (may be not up to date) - DVDBR.sh

chmod +x DVDBR.sh
./DVDBR.sh

Follow the interactive prompts to configure your backup process.

❓ Why This Script?

DVDBR provides a simple yet flexible way to backup Docker volumes, whether locally or remotely, ensuring data integrity without unnecessary complexity.

🔹 Use Cases

Migrating containers between hosts
Regular backups of critical Docker volumes
Disaster recovery preparedness
Offloading backups to remote storage (NAS, cloud, etc.)

🔧 Prerequisites

Linux-based system (Ubuntu, Debian, CentOS, etc.)
Docker installed (docker command available)
User must be in the docker group (or provide sudo access)
For remote backups:
- ssh access to the remote machine
- rsync and scp installed

🛠 How to Use?

Run the script:
```
./DVDBR.sh
```
Follow the prompts to:
- Select Docker volumes to back up
- Choose between local and/or remote backup
- Decide whether to stop running containers
- Configure SSH settings for remote backup
Confirm the backup process and let DVDBR handle the rest!

⚙️ Explanation of Features & Options

Backup Modes:
- Local backup (stored in a directory of your choice)
- Remote backup via SSH (ssh cat, rsync, scp fallback)
Container Management:
- Detects running containers using selected volumes
- Offers to stop/restart containers before/after backup
Filename Customization:
- Option to include a timestamp in the backup filename
Failover Mechanism:
- Uses ssh cat by default for remote transfers
- Falls back to rsync and scp if needed
Logging:
- Creates detailed logs with timestamps for troubleshooting

🏷️ Tags & Keywords

docker backup restore volumes automation shell script rsync scp ssh cat container management

📚 Third-Party Licenses

This script utilizes:

Refer to their respective licenses for details.

📜 License

This project is licensed under the MIT License – free to use, modify, and distribute with attribution.

🤖 AI Assistance & Acknowledgment

This project was developed with assistance from an AI-powered assistant, ensuring efficiency and optimization while maintaining human oversight.

🔗 Project Links & Contributions

🛠 Source Code & Issues: GitHub Repository
🇫🇷 Version française (WikiJS): ltgs.wiki (FR)
🇺🇸 English version (WikiJS): ltgs.wiki (EN)

If you find any issues or have suggestions, feel free to open a GitHub issue or contribute! 🚀

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