You can now use data tiering for Amazon MemoryDB for Redis as a lower cost way to scale your clusters to up to hundreds of terabytes of capacity. Data tiering provides a new price-performance option for MemoryDB by utilizing lower-cost solid state drives (SSDs) in each cluster node, in addition to storing data in memory. Data tiering is ideal for workloads that access up to 20% of their overall dataset regularly, and for applications that can tolerate additional latency when accessing data on SSD.