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How Redis Object Cache works?

Redis Object Cache

Redis Object Cache works by storing frequently accessed objects in memory for fast retrieval, reducing the need to fetch the objects from the original data source (such as a database) repeatedly. Here’s a step-by-step explanation of how Redis Object Cache typically operates:

  1. Application requests an object: When an application needs to access an object, it first checks if the object is available in the Redis cache by using a specific key associated with that object.
  2. Cache lookup: Redis checks if the requested object exists in its memory by searching for the corresponding key.
  3. Cache hit: If the object is found in the cache (a cache hit), Redis retrieves the object and returns it to the application.
  4. Cache miss: If the object is not found in the cache (a cache miss), the application needs to retrieve the object from the original data source (e.g., a database).
  5. Object retrieval and caching: After fetching the object from the data source, the application stores the object in Redis for future use. The object is typically stored with a unique key that corresponds to its identity and an expiration time to control its lifespan in the cache.
  6. Subsequent requests: For subsequent requests for the same object, the application can bypass the data source and directly fetch the object from Redis, resulting in faster response times.
  7. Cache expiration and eviction: Redis allows you to set an expiration time for each cached object. Once the expiration time is reached, Redis automatically removes the object from the cache. Redis also provides mechanisms for eviction, which means that if the cache is full and a new object needs to be stored, Redis can remove less frequently accessed or least recently used objects to make space for the new object.
  8. Cache invalidation: In some cases, the objects stored in the cache may become invalid or outdated due to updates in the data source. Redis provides various techniques for cache invalidation, such as manually invalidating specific objects by deleting their keys or using publish/subscribe mechanisms to notify the cache when the underlying data changes.

By utilizing Redis as an object cache, applications can significantly improve their performance and reduce the load on the original data source. Since Redis stores data in memory, which is faster to access compared to disk-based storage, it enables quicker retrieval of frequently accessed objects, thereby enhancing the overall responsiveness of the application.

You can use Redis Object Cache with a lot many CMSs and e-commerce platforms like: WordPress (Woocommerce), Opencart, Magento, Prestashop, Drupal, Joomla and many more.

Please, read: How to configure the Redis with Litespeed Cache plugin in WordPress

And also: How to use Redis Cache in Opencart for better performance

A good option to force your WordPress cache with Redis is to install the Redis Object Cache plugin and configure it as it is mentioned in the provided documentation. That way you will take full advantage of Redis Object Cache to speed up your website and give it extra boost.

Overall, using Redis Object Cache can boost the performance, scalability, and efficiency of your applications by reducing the load on the database, improving response times, and enabling efficient data retrieval and storage. It serves as a reliable and high-performance caching layer, particularly in scenarios where frequent read operations and low latency are crucial.

CooliceHost.com has Redis cache installed in its Nginx Webhosting and Cloud plans for better performance and efficiency of your web-based applications installed.

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