Memcached

Memcached is a free and open-source software that acts as a high-performance in-memory caching system. It's essentially a temporary storage space that holds frequently accessed data to improve the speed of web applications.

Here's how it works:

• Caching data: Imagine a web application that retrieves product information from a database every time a user views a product page. This can be slow. Memcached can store that product information in its memory (RAM), so subsequent requests for the same product can be served much faster from Memcached instead of the database.

• Key-value store: Memcached works like a giant key-value store. You can store small pieces of data, like strings or even entire objects, using a unique key to identify them.

• Faster response times: By reducing the number of database calls, Memcached significantly improves response times for web applications. This translates to a faster and smoother user experience.

Here are some common use cases for Memcached:

• Database caching: As mentioned earlier, Memcached excels at caching frequently accessed database queries.

• Session storage: Memcached can store session data like user profiles and shopping carts for signed-in users.

• API call caching: If your application relies on external APIs, Memcached can cache the API responses to avoid redundant calls.

Overall, Memcached is a powerful tool for speeding up web applications by taking some of the load off the database and reducing the number of times data needs to be retrieved. It's a popular choice for many major websites like YouTube, Wikipedia, and Twitter.

A few books on deep learning that I am reading:

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