What are the different caching strategies and their performance impacts?

What are the different caching strategies and how do they compare in terms of performance?

There are several caching strategies, including in-memory caching, disk caching, and distributed caching. Each has its own performance implications.

Can you explain in-memory caching and its benefits?

In-memory caching stores data in the RAM, which allows for faster data retrieval compared to disk storage. It's ideal for high-speed applications.

What about disk caching? When should I use it?

Disk caching is useful for larger datasets that don't fit in memory. It's slower than in-memory caching but can handle more data.

How does distributed caching work?

Distributed caching spreads data across multiple servers, improving scalability and fault tolerance. It's great for large applications.