I'm curious what implementations others have made for data redundancy (failover) for cloud implementations. I understand forest duplication and failover in the ML engine, but has anyone used this at AWS? We're using MarkLogic on a single node and the data is stored to a LUKS encrypted mounted partition. I'm curious if there are any other implementations that are elegant, such as encrypted GlusterFS, HBase, etc as the filesystem store. I know this is open ended, I'd just like to know who's done this in production and what they like about it, or what pointers they'd like to give someone new to this area.
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