DynamoDB DAX是否支持水平扩展？集群扩容缓存容量规则问询

Great question—let’s cut through the confusion and break down exactly how DAX behaves when you add nodes to your cluster.

First, let’s get the core answer out of the way: DAX absolutely supports horizontal scaling for cache capacity, along with built-in improvements to availability and load distribution. Here’s the detailed breakdown:

• Distributed data storage & linear capacity growth: When you add more nodes to a DAX cluster, the cache data is automatically sharded across all nodes using consistent hashing. Each node holds a distinct subset of your cache entries, which means your total cache capacity is indeed equal to number of nodes × single node capacity. This is one of the primary reasons to scale out a DAX cluster—you get a linear increase in how much cached data you can retain.

• Improved availability & load distribution as added benefits: While the capacity gain is the key driver for scaling, adding nodes also directly boosts cluster availability (if one node fails, remaining nodes continue serving cached data, and DAX automatically rebalances shards in the background) and spreads incoming request load across more instances, reducing pressure on any single node.

It’s worth emphasizing that DAX handles all sharding, rebalancing, and failover automatically—you don’t need to manually partition cache keys or move data when scaling. The cluster manages these operations behind the scenes to keep your cache operational and performant during scaling events.

内容的提问来源于stack exchange，提问作者Nilesh Soni