Improve application performance.
Increase reading performance (IOPS).
Increase the number of business operations to the database.
It caches more than 30 requests to the database for each load of any web view, per user, which translates, according to the modules installed, a cache of more than 2000 requests that are not made to postgresql per user.
It only requires the installation of this module to work, since it only uses the python cache technique.
This version only supports cache for single language instances, if you require a module with cache for multiple languages press. Web base cache
Data in a cache is usually stored in fast-access hardware, such as random access memory (RAM) and can also be used in conjunction with a software component. The main objective of the cache is to increase data recovery performance to avoid having to access the underlying storage layer, which is slower. When exchanging capacity for speed, a cache typically stores a subset of data transiently, unlike databases whose elements are usually complete and durable.
If we compare accesses, we have to latency, that is, the time we wait to receive the first data from a memory. The hard drive, this time, is milliseconds (DISK) and in nanosecond (RAM) memories. In this case there are differences of 100,000 times.
