What are the differences between caching strategies in Node.js?

What are the differences between caching strategies in Node.js?

In Node.js, common caching strategies include in-memory caching, file-based caching, and distributed caching. In-memory caching is fast but limited by server memory, while file-based caching is slower but can handle larger data. Distributed caching allows for scalability across multiple servers.

Can you explain in-memory caching in more detail?

Sure! In-memory caching stores data directly in the server's RAM, which allows for extremely fast data retrieval. Libraries like Redis or Memcached are often used for this purpose. However, the downside is that data is lost if the server restarts.

What about file-based caching? How does it work?

File-based caching saves data to the disk, which makes it persistent across server restarts. It's slower than in-memory caching but can store larger datasets. It's useful for caching static files or data that doesn't change frequently.

Which caching strategy would you recommend for a high-traffic application?

For high-traffic applications, a combination of in-memory caching for frequently accessed data and a distributed caching system for scalability is often recommended. This approach balances speed and reliability.