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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.released its first webcam video chat services in 1998 with a mission to make it simple, free and fun for everyone to broadcast live webcam video on the Internet.is continually upgrading and improving to provide users with the most convenient and enjoyable webcam experience possible.Note that approach (a) changes the sending a chat message / loading a Facebook page from a one-to-one communication into a multicast to all online friends, while approach (b) ensures that users who are neither chatting nor browsing Facebook are nonetheless generating server load.Another challenge is ensuring the timely delivery of the messages themselves.
Both subsystems are clustered and partitioned for reliability and efficient failover. In short, because the problem domain fits Erlang like a glove.We chose to simulate the impact of many real users hitting many machines by means of a "dark launch" period in which Facebook pages would make connections to the chat servers, query for presence information and simulate message sends without a single UI element drawn on the page.With the "dark launch" bugs fixed, we hope that you enjoy Facebook Chat now that the UI lights have been turned on.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.Because the data is persisted, a failed read request can be re-attempted.
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