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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.Unlike a three-guys-in-a-garage startup, we don't have the luxury of scaling out infrastructure to keep pace with user growth; when your feature's userbase will go from 0 to 70 million practically overnight, scalability has to be baked in from the start.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.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.The request gets reestablished if it's interrupted or times out.

However if you do meet someone local and decide to meet up, we urge you take extreme precautions and read our blogs about Chat Safety and Meeting people from the chat rooms offline.

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Erlang is a functional concurrency-oriented language with extremely low-weight user-space "processes", share-nothing message-passing semantics, built-in distribution, and a "crash and recover" philosophy proven by two decades of deployment on large soft-realtime production systems.

Despite those advantages, using Erlang for a component of Facebook Chat had a downside: that component needed to communicate with the other parts of the system.

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