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 azure redis and machine learning


Tempesta Space :: Scaling Applications with Azure Redis and Machine Learning

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This configuration is typically called Level 1 Cache, as it contains one level of cache only. Level 1 caches are normally used for Session and Application state management. Although effective, this approach is not optimal when dealing with applications that move large quantities of data over multiple geographies, which is the scenario that we want to optimise. First of all, large data requires large cache to be effective, which in turn is memory intensive, thus requiring expensive servers with a big allocation of volatile memory. In addition, syncing nodes across regions implies large data transfers, which, again, is expensive and introduces delays in availability of the information in the subordinate nodes.