If your website loads too slowly, your visitors will leave it. The loading time of your website is therefore crucial for your conversion rate and your results. Fortunately, there is caching, i.e. storing of frequently requested static content.
Redis offers a form of caching that stores data in RAM in a distributed way, which makes it possible to retrieve the data at lightning speed when needed.
Redis (Remote Dictionary Server) is a distributed, open-source caching technology that stores and retrieves data in RAM, which is fast memory. Thanks to this, the web application is not overloaded every time this data is requested, which helps your website load much faster.
In addition to Redis, there are other caching technologies such as Varnish, OPcache and APCu.
Caching helps reduce the load on your resources and maintain the stability and speed of your application. It allows data to be stored in a calculated format for later use. This way, the same request does not have to be reprocessed each time.
More infoRedis stores cached data in RAM, which is fast memory. This caching technology ensures response times of less than a millisecond, allowing millions of requests per second for real-time applications in gaming, media streaming, financial services, chat, etc.
Redis supports a large number of data types (strings, lists, sets, hashes, bitmaps, etc.) and programming languages (Java, Python, PHP, C, C++, C#, JavaScript, Node.js, Ruby, etc.). This makes it compatible with a wide range of systems and applications.
With Redis, you need fewer lines of code to store data and make it accessible. Thanks to the flexible data structure, there are no complex conversions needed to convert one data type to another.
Redis features a persistence layer that stores the cache on the disk. This ensures that the cache is not lost during a reboot. The authentication layer prevents unauthorised access to the cache.
Redis also includes replication and clustering features that allow the cache to be synchronised across different servers.
Redis is open-source software that is freely available, without licence fees.
Redis does not store data locally; it stores them in a distributed way across the network:
Data cached in Redis are stored as plain text or one of the other supported data types. These data are identified by a unique key. This is why Redis is often called a distributed key-value store.
In contrast to other caching products such as Varnish, Redis must be controlled from the application.
Redis allows you to set how long the data should be cached. When an object has expired, the application has to retrieve the data again from the database or recompute them before they are returned to Redis. This avoids serving expired data for too long.
Redis is usually used to cache application database output. This can include anything from standard business logic to metadata.
Redis is also very popular as distributed session storage. Different application servers within the same cluster can store their session data in Redis. This ensures that session data is not lost when the load balancer suddenly selects a different server.
Combell supports Redis in the form of a PHP module. In addition, hosting packages can come with a Redis service to cache data.
The PHP module that is used to control the Redis server offers several features to add, delete and edit data.
Combell's experts have learned all there is to know about Redis. Together with you, we look for the best solution for your specific application.
If you use frameworks such as Drupal, WordPress or Magento, there are ready-made modules available to store certain data in Redis.
We are also at your disposal for other caching solutions. As an extension to our web hosting packages or as a tailored solution to optimise the performance of your application.
For years, Combell has been committed to achieving fast loading times and optimal user experience by means of caching solutions, including the smart Redis.
Together with you, we look for the best solution for your website or application. Our experienced specialists are responsible for selecting and implementing the best caching solution.