A cache stampede occurs when cached data expires, leading to a surge of simultaneous requests to the backend, similar to a rush at a library for favorite books. This can overwhelm systems, causing significant performance issues or outages, as exemplified by Facebook in 2010 when they experienced a significant outage due to this issue. To mitigate such stampedes, strategies like implementing request locking during data regeneration can help manage concurrent requests, ensuring smoother server performance and reduced load.
During a cache stampede, multiple requests for the same expired data occurs simultaneously, causing the backend to become overwhelmed, resulting in slower performance or outages.
Preventing cache stampedes involves strategies like implementing a locking mechanism during regeneration, so only the first request fetches the new data, allowing others to wait.
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