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This new backend enables using a Redis Cluster to reliably store objects in the cache.
With data sharding and built-in failover, Redis Cluster ensures that both service and data remain available even if some nodes go down. Each shard has replicas that can automatically take over in case of a primary node failure, providing redundancy and improved fault tolerance.
Please note that, due to asynchronous replication, some of the most recent data written to a primary node may be lost if that node fails before the changes are replicated to its replicas. Additionally, a brief interruption may occur while the cluster detects the failure and promotes a replica to primary.
Redis Cluster documentation (https://redis.io/docs/latest/operate/oss_and_stack/management/scaling/) provides recommendations for minimum node counts and offers several architecture examples.