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Backups and Point In Time Restore (PITR)

Posted January 17, 2020 3k views
DigitalOcean Managed MySQL Database

I currently use AWS RDS. Looking at your managed database pages and the documentation it’s not clear if, like AWS, you’re taking snapshots every 5 minutes in addition to the daily backups - or there is only the daily backup?

What is the Recovery Point Objective (RPO) of your managed MySQL databases? This is assuming user error, so a cluster does not help as the mistake will be replicated.

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By:
petersys

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4 answers
abearfield January 18, 2020

Hey petersys 👋

The service takes a single full backup every 24 hours; the write ahead log (WAL) is backed up approximately every 5 minutes, enabling point-in-time-restore operations.

If user error occurs that needs to be rolled back, the best way to accomplish this is to create a new service from a backup at a point-in-time prior to the error. Once the new service is online, the original service can be destroyed.

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petersys January 18, 2020

@abearfield, thanks, so the RPO is approximately 5 minutes.

edited by MattIPv4
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abearfield January 21, 2020

For a single-node, non-HA services, it is fair to assess the RPO as approximately 5 minutes. Users who require reduced RPO should configure their Managed Database services with one or more standby nodes.

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  • petersys January 22, 2020

    Can you explain why a multi-node setup would have a reduced RPO?

    Are you saying DigitalOcean ensures each node backs up its WAL at a different time, so 2 nodes => 2.5 minute RPO, 3 nodes => 1.7 minute RPO etc?

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abearfield February 4, 2020

Hey @petersys

Sorry for the delay here. A multi-node setup would have reduced RPO due to standby nodes being promoted and taking over write and read operations right away. For a single-node service, a failure will cause the loss of data in the WAL that has not yet been committed to the backup service (5 min or less as outlined above). For multi-node services, any loss of data is a function replication lag. Replication to standby nodes is asynchronous but close to real-time.

Thanks!

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