New in memtier_benchmark: Pseudo-Random Data, Gaussian Access Pattern and Range Manipulation

The Redis team has open-sourced a high-throughput benchmarking tool for Redis and Memcached resources called memtier_benchmark. The latest version of the tool includes several improvements, including the generation of randomized data according to known size range using the --data-size-pattern switch, the ability to use Gaussian distribution to access the data with options such as key-stddev and key-median, and the support for using SETRANGE and GETRANGE Redis commands. These additions aim to better mimic real-life use cases and provide more flexibility in benchmarking.