Frequently Asked Questions
What’s the difference between XCP-ng snapshots and backups?
XCP-ng snapshots are point-in-time captures that remain dependent on the source storage infrastructure and typically lack long-term retention capabilities. Snapshots are excellent for short-term recovery scenarios but should not be considered a complete backup solution. Bacula Enterprise backups, by contrast, create independent copies of virtual machine data that can be stored on separate infrastructure, retained for extended periods, and restored to different locations or environments. This approach provides true disaster recovery protection with data independence from the source infrastructure.
What are the technical requirements for implementing Bacula’s XCP-ng backup?
Bacula Enterprise’s XCP-ng module requires access to the XenServer API with appropriate authentication credentials and access rights. The module integrates at the hypervisor level, requiring network connectivity between Bacula components and the XCP-ng infrastructure. Specific requirements include API access credentials, network connectivity for data transfer, and sufficient storage capacity on backup destinations. Detailed technical specifications and deployment guides are available through Bacula Systems’ technical documentation and support resources.
How do I test my XCP-ng backup and restore process?
Regular testing should include restoring complete virtual machines to verify full recovery capabilities, performing test restores of individual files to validate single file recovery functionality, and documenting recovery time objectives. Bacula Enterprise provides comprehensive logging and verification features that enable thorough testing without disrupting production operations. Organizations should establish regular testing schedules aligned with their disaster recovery plans and compliance requirements.
How does Bacula handle incremental backups for XCP-ng virtual machines?
Bacula leverages XCP-ng’s snapshot technology combined with advanced block-level change detection, enabling efficient incremental backups that only capture modified data since the last backup operation. This approach minimizes storage requirements and backup windows while maintaining complete recoverability. The system automatically tracks changes at the block level and transfers only modified data, significantly reducing network bandwidth consumption and backup duration for large virtual machine environments.