Not only are you storing the same piece of data 9 times you also have possibly 8 cache misses. Definitely more performant than a remote service but a cache server on localhost is just as performant.
But shouldn't locmem be considered in the case of a small relatively-static dataset being accessed: such as configurations or something similar? supposing the entire dataset to be cached is 1MB and you're running 9 process, then that's an overhead of 9MB...wouldn't local memory access be more performant than a remote service access? This may be an edge case but could lead to serious performance implications in different scenarios: for example if you're looking up 10 different configurations for each request..
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Not only are you storing the same piece of data 9 times you also have possibly 8 cache misses.
Definitely more performant than a remote service but a cache server on localhost is just as performant.
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But shouldn't locmem be considered in the case of a small relatively-static dataset being accessed: such as configurations or something similar? supposing the entire dataset to be cached is 1MB and you're running 9 process, then that's an overhead of 9MB...wouldn't local memory access be more performant than a remote service access? This may be an edge case but could lead to serious performance implications in different scenarios: for example if you're looking up 10 different configurations for each request..