When does caching turn into a problem in a microservice setup?
Aidana Zhakenova
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Caching is super important for speed in distributed systems, we all know that. But I've been wondering, when does it actually slow things down instead of helping, especially with microservices? Like, trying to get rid of old data in the cache across tons of services? That can become such a headache and cause all sorts of mistakes. So, when do you think caching, especially distributed caching, starts to add more delays or just makes things harder to run than it fixes in a microservice setup? Have you seen any particular good or bad ways to do caching in this kind of situation?
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