Athento has backup policies to ensure the stability and integrity of the information. The objectives of the backup policy are:
- Safeguard the information assets of customers of Athento’s cloud service.
- Avoid data loss in the event of accidental deletion or data corruption, system error, or disaster.
- Allow the timely restoration of information and business processes, in the event of such events.
This policy applies to all Athento Cloud servers; for On-Premise instances, the backup policy must be carried out and maintained by the customer.
System backups may not be used in any case for the following purposes:
- Data archiving for future reference.
- The maintenance of a versioned history of data.
Retention periods
The retention periods of the information contained in system-level backups are designed to allow recoverability and provide a snapshot of the information over time, as it existed during the time period defined by the system backup policies.
Backups are kept for 1 year**. Backups are incremental.
Backup characteristics
Systems will be backed up according to the following scheme:
- Daily incremental backup every 24 hours.
- Backups will be performed at 00 hours (CET).
- Primary and secondary backups are performed in different locations.
- Backup destination on Disks
- Backups are performed for both the document repository and the database in which metadata and other meta-information are stored.
- Likewise, functional replicas of the production servers are performed.
- Backups are periodically verified by restoring a replica.
Repository backups
For certain plans, such as enterprise, backup copies of the repository binaries can be made in:
- Azure blob storage (in archive mode)
- Backblaze
These copies are made in data centers in Europe.
Backup review
Backups are reviewed to :
- To check and correct errors.
- To monitor the duration of the backup task.
- To optimize backup performance when possible.
- To identify problems and take corrective actions to reduce the risks associated with failed backups.
** This time may be reduced on a one-off basis by actions such as architecture changes, migrations, etc.