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What is thundering herd problem and it's cause.

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In computer science, the thundering herd problem occurs when a large number of processes or threads waiting for an event are awoken when that event occurs, but only one process is able to handle the event.

โ€” the thundering herd problem is that when something happens, typically a lock being released or an i/o input event completing, lots of processes which have been waiting will resume.

How to handle this problem

โ€” the thundering herd problem can occur when there is a cascading failure โ€” say you have 3 servers running and a load balancer.

How to avoid thundering herd problem syncchronisation;

This could be caused by either services that you own or third party services retrying requests after a period of downtime or instability.

This hinders the performance of the system.

โ€” the thundering herd problem occurs when a large number of threads are awoken by a single lock release or i/o completion event.

Let us say each server can handle a certain number of requests (say.

โ€” these many requests coming at once is called โ€œthundering herdโ€ problem.

When many readers simultaneously request the same data element, there can be a database read overload, sometimes called the โ€œthundering herdโ€ problem.

It's effect on computer systems;

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When the processes wake up, they.

Too many requests can stampede system, causing lag, connection dropout.

In this article, we will be learning about thundering herd problem.

A thundering herd incident for an api typically occurs when a large number of clients or services simultaneously send requests to an api after a period of unavailability or delay.

This page addresses how to prevent it in a single jvm or a clustered configuration.

One will be choosen and all the rest will typically resume waiting on the lock or i/o event.