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This in flip will keep the consumer waiting for a response, which might break its fallback plan, particularly if that plan was to retry the request on a distinct occasion. One possibility is to drop the surplus requests, such that some shoppers won’t receive a response, a method known as load shedding. This schedules the subsequent single request render after the Node occasion loop processes accumulated I/O occasions, giving us an opportunity to shed the surplus requests. Unfortunately the Node occasion loop makes load shedding tough. After a little bit of brainstorming, I realized that we may provide fast shedding by interleaving request rendering and shedding. We were fortunate the service recovered, and we instantly installed a load shedding mechanism to cap the request queue length at a reasonable number. But we can’t return a response until all earlier requests within the queue have been processed. Checking our graphs during this incident, I noticed request queue lengths spike into the thousands for some service instances. There was a clear correlation in the graphs between visitors quantity and response time.

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