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Cache misses and database failure can be detected by the non-database layers and either reported to the user or worked around using replication.While this architecture works pretty well in general, it isn't as successful in a chat application due to the high volume of long-lived requests, the non-relational nature of the data involved, and the statefulness of each request.Setelah Firza diperiksa oleh Pihak Polda Metro Jaya Selasa (16/5) kemarin.

Having a large-number of long-running concurrent requests makes the Apache part of the standard LAMP stack a dubious implementation choice.The project I'm currently working on, Facebook Chat, offered a nice set of software engineering challenges: The most resource-intensive operation performed in a chat system is not sending messages.It is rather keeping each online user aware of the online-idle-offline states of their friends, so that conversations can begin.Even without accounting for the sizeable overhead of spawning an OS process that, on average, twiddles its thumbs for a minute before reporting that no one has sent the user a message, the waiting time could be spent servicing 60-some requests for regular Facebook pages.The result of running out of Apache processes over the entire Facebook web tier is not pretty, nor is the dynamic configuration of the Apache process limits enjoyable.The way this is typically accomplished in a web application is by separating the model and the view: data is persisted in a database (perhaps with a separate in-memory cache), with each short-lived request retrieving only the parts relevant to that request.

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