Chat with girls in mobil without sing up

For Facebook Chat, we rolled our own subsystem for logging chat messages (in C ) as well as an epoll-driven web server (in Erlang) that holds online users' conversations in-memory and serves the long-polled HTTP requests.Both subsystems are clustered and partitioned for reliability and efficient failover. In short, because the problem domain fits Erlang like a glove.

This is wildly inefficient to the point of being untenable, given that the average number of friends per user is measured in the hundreds, and the number of concurrent users during peak site usage is on the order of several millions.Having Thrift available freed us to split up the problem of building a chat system and use the best available tool to approach each sub-problem.The secret for going from zero to seventy million users overnight is to avoid doing it all in one fell swoop.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.

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