Scaling - Amazon MemoryDB for Redis
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The amount of data your application needs to process is seldom static. It increases and decreases as your business grows or experiences normal fluctuations in demand. If you self-manage your applications, you need to provision sufficient hardware for your demand peaks, which can be expensive. By using MemoryDB for Redis you can scale to meet current demand, paying only for what you use.

The following helps you find the correct topic for the scaling actions that you want to perform.

Scaling MemoryDB
Action MemoryDB

Scaling out

Online resharding and shard rebalancing for MemoryDB

Changing node types

Online vertical scaling by modifying node type

Changing the number of shards

Scaling MemoryDB clusters