couchbase-xdcr

Couchbase XDCR replication for disaster recovery is set up by creating remote cluster references, defining bucket-level replications, and selecting an active-passive topology to synchronize data across regions.

The best Couchbase XDCR topology for multi-region deployments depends on your consistency needs, with active-active supporting regional writes, hub-and-spoke centralizing synchronization, and cascade chaining clusters to optimize availability.

Conflict resolution in Couchbase cross datacenter replication works by applying last-write-wins rules or custom conflict resolution logic, with conflict logging to track documents failing source-side checks during multi-region synchronization.

Couchbase XDCR replication lag and a persistent changes_left count indicate throughput or bandwidth bottlenecks, requiring diagnostic checks for replication failures and adjustments to filtering, priority, or bandwidth controls.

Yes, you can apply filters to Couchbase XDCR bucket replications to control which documents synchronize across remote cluster references, alongside tuning throughput, priority, and bandwidth to optimize cross-region replication performance.

Last-write-wins conflict resolution in Couchbase XDCR can result in data loss during concurrent active-active writes, making custom conflict resolution necessary when strict consistency across multi-region clusters is required.