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Computer systems generally support DR in two ways: backups and replication.
Backups entail full or partial copies of data from the master cluster that are stored on separate media.
Achieving Low RPO with Scheduled Mirroring For files in your Map R cluster, use mirroring on a scheduled basis to ensure remote mirrors frequently get the latest updates.
The window of potential data loss depends on how frequently your mirroring operations are scheduled.
Map R mirroring is used to create remote mirrors of files.
Mirroring supports the following characteristics that are critical for proper DR deployments: Table and stream replication is the (near) real-time mechanism for replicating the data in Map R-DB database tables and the data in Map R Streams topics.
DR with mirroring entails activating the mirror, which already has the data loaded, as the new master cluster.
(Note that “replication” is also used to refer to the copying of data within a cluster in a data center to eliminate single points of failure and enable high availability.) In a related area, some systems support point-in-time snapshots, also known as checkpoints, to allow rolling data back to a prior state.
With database tables and streams topics, you automatically get low RPO since table and stream replication continuously transfers all database and topic updates to the remote clusters.With either method, a copy of the data is available to restore and thus recover from the disaster.