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Because the data is persisted, a failed read request can be re-attempted.

Cache misses and database failure can be detected by the non-database layers and either reported to the user or worked around using replication.

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Having a large-number of long-running concurrent requests makes the Apache part of the standard LAMP stack a dubious implementation choice.

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.

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.

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.

• You (): I think there's someone in my house Mandy P. ('): Ive iust aot out of serious relationship n now im lookin for a nice guy to come by :))) You (): They're gonna kill me!

('): this is weird for mer ive never done this before, talking to a complete stranger;) You (): I hear them walking up the stairs zz You (): Please call 911 Mandv P.

Each Facebook Chat user now needs to be notified whenever one of his/her friends (a) takes an action such as sending a chat message or loads a Facebook page (if tracking idleness via a last-active timestamp) or (b) transitions between idleness states (if representing idleness as a state machine with states like "idle-for-1-minute", "idle-for-2-minutes", "idle-for-5-minutes", "idle-for-10-minutes", etc.).

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.

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