Not only does it have a dramatic impact on the user experience of a front-end user, it also has implications on the reliability and cost effectiveness of the deployment of the application.
This article will cover how to effectively use different caching techniques to improve the performance of a python / django web application. In most cases, an invalidation strategy can be created that makes caching transparent.
While known as a pioneer in the world of online communities, many may not be aware that its creators are also responsible for one of the most important caching technologies currently powering the web: memcached (pronounced “mem-cache-dee”).
Memcached is the caching engine behind Facebook, Twitter, and, a favorite at 10up, Word
In this article, I share some of my insights, cautions and thoughts on developing in a memcached environment.
By storing frequently accessed data in memory as opposed to the disk or database, memcached offers faster access to data and less strain on the database. In order to take advantage of memcached, you need to install the necessary dependencies on your server, as well as a caching add-on that supports Memcached, such as the Memcached Object Cache drop-in.
With bad ORM usage practices we are making it even much slower.Today all Django developers are racing to finish the project development with Python as their favorite choice.But evil of wrong development practices can slow down the project by significant amount. The eagerness to finish task dominates the efficiency and optimization. I will show how to optimize the Django code and where to optimize. The techniques those can improve our Django website performance: Django ORM is the easiest thing to link an application and a database(My SQL, Postre SQL).SQL is an excellent querying language to filter and process data.One of the often overlooked but critical components of a functioning web application is it’s performance.