RedisSimran Regmi3 min readintermediate
Scale your workloads without paying all-RAM prices
Summary
AI demand has driven up RAM prices, impacting in-memory databases like Redis. Redis Flex addresses this by tiering data between RAM and SSD, allowing large datasets to scale without keeping everything in expensive memory, offering up to 80% cost reduction per gigabyte.
- AI demand has significantly increased RAM prices, directly impacting in-memory database scaling costs.
- Redis Flex implements tiered storage, pairing RAM with SSD to keep hot data in memory and less-used data on cheaper SSD.
- Users can configure RAM ratios from 10% to 50% per workload, adapting to specific data access patterns and cost needs.
- This approach can reduce storage costs by up to 80% per gigabyte compared to an all-RAM Redis instance.
Engineers managing large, real-time datasets in Redis can use Flex to control costs and scale capacity without compromising performance, especially with rising RAM prices.
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