All eligible persistent volumes
Schedule backups for supported container binds and volumes while platform metadata is protected separately in the cloud backplane.
Protect persistent data with encrypted, off-server backups, application-aware tooling for PostgreSQL and MySQL, and workloads that move between servers for maintenance and outages.
Capabilities
Schedule backups for supported container binds and volumes while platform metadata is protected separately in the cloud backplane.
PostgreSQL uses pgBackRest and WAL archiving. MySQL uses XtraBackup/xbcloud-compatible tooling for consistent database backups.
Configure schedules on the component or initiate a manual backup from the resource view when a specific recovery point is required.
For file-based workloads, optionally stop the container briefly during backup to reduce inconsistency while files are being mutated.
Backup objects are stored in encrypted S3 buckets, while tools such as Restic add repository-level encryption.
Backups are stored apart from the server, in a nominated S3 location for each region: for example, Amsterdam uses Frankfurt and Washington DC uses Virginia.
How it works
Select schedule, retention, and whether the workload should pause for a consistent file snapshot.
Review successful and failed events and the snapshots available for the component.
Choose an available snapshot or supported database recovery point and initiate restoration.
Resilience and migration
Seemi Cloud can move workloads between servers. Planned maintenance becomes a short pause, and unplanned failures trigger recovery automatically. Together with off-server backups, that is how we deliver very high uptime.
Planned maintenance
Before a server is serviced, your workloads move to another server. Your application sees a brief pause instead of hours of downtime.
Unplanned outage
Containers without binds or mounts are moved to a healthy server automatically, with minimal downtime and no action from you.
Unplanned outage
Databases and containers with persistent data are restored from the latest backup on a healthy server once you approve, so you stay in control of your data.
Restoring from a backup returns data to the latest recovery point, which is why stateful services wait for your approval. PostgreSQL point-in-time recovery narrows that gap using continuously archived WAL.
Periodic backups can lose changes made after the latest successful snapshot. PostgreSQL PITR can reduce this window, subject to available WAL data.
Seemi uses workload migration, RAID-configured storage, and off-server backups, but critical customers should maintain additional customer-controlled backups and test restoration regularly.
Ready to move forward?