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Large databases on single Redis shard cause slow failover and recovery

7/10 High

Running large datasets (>25GB or 25K ops/sec per shard) on a single Redis instance means failover, backup, and recovery all take significantly longer. If the instance fails, the entire dataset blast radius and recovery time are unacceptable for production systems.

Category
performance
Workaround
solid
Stage
deploy
Freshness
persistent
Scope
single_lib
Upstream
open
Recurring
Yes
Buyer Type
team
Maintainer
active

Sources

Collection History

Query: “What are the most common pain points with Redis for developers in 2025?3/30/2026

Running a large dataset on one Redis instance means that failover, backup, and recovery all take significantly longer. If that single instance goes down, the blast radius covers your entire dataset.

Created: 3/30/2026Updated: 3/30/2026