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Cache servers are a fundamental component of modern applications. They are critical in providing low-latency access to information and preventing the overloading of databases.
Providing fault injection capabilities to the connections between clients ad Redis services help the developer validate:
The impact of increased latencies when accessing the cache in the application performance
The ability of the application to recover from failures such as connection drops
The text was updated successfully, but these errors were encountered:
Other potentially interesting use cases for when Redis especially when it is used as a cache:
Return not found for a certain, predictable percentage of entries and see how the system responds when it needs to fetch the data from a more expensive data source (like a database) more often than usual
If possible, fake a different TTL for all entries and see how the system reacts to entries living less time than expected.
Cache servers are a fundamental component of modern applications. They are critical in providing low-latency access to information and preventing the overloading of databases.
Providing fault injection capabilities to the connections between clients ad Redis services help the developer validate:
The text was updated successfully, but these errors were encountered: