What are the differences between distributed caching and local caching?
An example of an AI chatbot conversation about caching strategies in computing.
What are the differences between distributed caching and local caching?
Distributed caching involves multiple servers sharing cached data, while local caching stores data on a single machine.
What are the advantages of using distributed caching?
Distributed caching improves scalability, fault tolerance, and data availability across multiple nodes.
Are there any downsides to distributed caching?
Yes, it can introduce complexity, potential latency issues, and requires careful management of cache coherence.
When should I use local caching instead?
Local caching is ideal for applications with low data access needs or when simplicity and speed are priorities.
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