It scales up really nicely thanks to a year of research and development of the hashtable implemented in cachegrand, on the hardware used for benchmarking, an AMD EPYC 7502P, it was able to reach up to 5mln GET QPS and 4.5mln SET QPS, with batching up to 60mln GET QPS and up to 26MLN SET QPS.

cachegrand is fast, it's fully Open Source, it's under a BSD 3-clause license - it can be used easily as standalone platform or incorporated in other ones without any licensing issue - and we are working to expand the Redis functionalities supported and to impelement a tiered storage to cache more data than the available memory. Longer term our goal is to expand the support to different platforms (e.g. memcache, kafka, etc.), add support to webassembly to have user defined functions and server side events, and of course a network bypass (combining XDP and a lockless FreeBSD tcp/ip stack) and a storage bypass.

Although it can easily used via docker, here a direct link to the latest release https://github.com/danielealbano/cachegrand/releases/tag/v0....

Currently we are focused on supporting Redis, here the list of commands currently implemented https://github.com/danielealbano/cachegrand/blob/main/docs/a...