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En réponse à @KihraOfTemerity
@KihraOfTemerity What do your front ends do? Could you be more resistant to high incoming data by doing little work except queueing?1 réponse 0 Retweet 0 j'aime -
En réponse à @ww
@KihraOfTemerity Maybe what you're already doing and what was behind were workers to process queued items or queue lock contention?3 réponses 0 Retweet 0 j'aime -
En réponse à @KihraOfTemerity
@KihraOfTemerity At EA we used an API Front End -> RabbitMQ -> n Workers -> Database -> Web Front End. Worked well, easy to isolate issues.1 réponse 0 Retweet 0 j'aime -
En réponse à @ww
@KihraOfTemerity Used that model for one project in particular that is. I fell in love with RabbitMQ. I'm an Erlang fan already though.4 réponses 0 Retweet 0 j'aime -
En réponse à @KihraOfTemerity
@KihraOfTemerity That's particularly powerful if you can then scale the amount of instances running workers as needed to handle demand.3 réponses 0 Retweet 0 j'aime -
En réponse à @ww
@KihraOfTemerity Even if you don't want to add hardware, you can have the OPTION if you're far behind on log processing.1 réponse 0 Retweet 0 j'aime
@KihraOfTemerity Build a corpus of raw logs, setup second (single instance) staging env, push test log corpus at staging env, WIN!
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