What are the different caching strategies and how do they compare?
There are several caching strategies, including in-memory caching, disk caching, and distributed caching. In-memory caching is fast but limited by RAM, while disk caching is slower but can handle larger data. Distributed caching spreads data across multiple servers, enhancing scalability.
Can you explain the pros and cons of in-memory caching?
Sure! The pros of in-memory caching include high speed and low latency, making it ideal for frequently accessed data. However, the cons are limited storage capacity and potential data loss if the server crashes.
What about distributed caching? How does it handle data consistency?
Distributed caching can handle data consistency through various strategies like eventual consistency or strong consistency models. It often uses techniques like versioning or timestamps to manage updates across nodes.
Which caching strategy would you recommend for a high-traffic web application?
For a high-traffic web application, I would recommend using a combination of in-memory caching for speed and a distributed caching system for scalability and reliability.
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