What are the downsides of distributed caching?
An example of an AI chatbot conversation about the downsides of distributed caching.
What are the downsides of distributed caching?
Distributed caching can lead to issues like data inconsistency, increased complexity, and potential network latency.
Can you explain data inconsistency in more detail?
Sure! Data inconsistency occurs when different cache nodes have outdated or conflicting data, leading to unreliable information.
How does network latency affect distributed caching?
Network latency can slow down data retrieval from cache nodes, impacting application performance and user experience.
Are there any solutions to mitigate these downsides?
Yes, strategies like cache invalidation, consistent hashing, and using a centralized cache can help mitigate these issues.
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