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To give you the best possible experience, this site uses cookies.Continuing to use this website means you agree to our use of cookies.One of the things I like most about working at Facebook is the ability to launch products that are (almost) immediately used by millions of people.

The secret for going from zero to seventy million users overnight is to avoid doing it all in one fell swoop.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.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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The method we chose to get text from one user to another involves loading an iframe on each Facebook page, and having that iframe's Javascript make an HTTP GET request over a persistent connection that doesn't return until the server has data for the client.

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