Redis Virtual Memory: the story and the code: "Using memcached in order to cache SQL queries is a well established pattern. My SQL DB is slow, so I write an application layer to take the frequently accessed data in memcached (handling invalidation by hand), so I can query this faster cache instead of the DB. The idea is to take data on disk, but to cache the hotspot in memory for fast access.
Redis + VM is exactly the reverse. You take your data in memory, but what is not the hot spot is disk-backed in order to free mem for more interesting data. In both models the frequently accessed data will stay in memory, but the process is reversed, with the following benefits:"
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