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Have you calculated the extremes of request rates, and can you service tolerate them? A good example is ATXFloods, a service which experiences massive peaks at precisely the time it is most critical to its users. Its architecture must be able to accommodate an increased response rate several orders of magnitude higher than the traffic it experiences 99% of the year.