The CPU load depends upon the amount of time a server spends executing a script any time a visitor opens a page on a specific script-driven website. Static HTML Internet sites use hardly any CPU time, but it's not the situation with the far more sophisticated and functional scripts, that use a database and display dynamic content. The more individuals open such a site, the more load will be produced on the server and if the database is big, the MySQL server will be loaded as well. An illustration of what can cause high load is an Internet store with tens of thousands of products. If it is popular, a lot of people shall be visiting it concurrently and if they look for items, the entire database that contains all of the products will also be frequently accessed by the script, which will result in high load. In this light, having CPU and MySQL load data can provide an idea of how the website is doing, if it has to be optimized or if you just need a more efficient web hosting solution - if the website is very popular and the established setup cannot handle the load.

MySQL & Load Stats in Shared Website Hosting

We generate detailed data about the system resource usage of every shared website hosting account, so if you host your websites on our advanced cloud platform, you'll be able to examine the statistics with just a few mouse clicks from your Hepsia Control Panel. The data is offered in 2 different sections. The first one will show you how much time our system spent serving your Internet sites, the total time it took for your scripts to be executed, what amount of memory Internet sites used and what different kinds of processes created the load. Statistics are produced every six hours. You're able to see daily and per month statistics too. In the second section you will discover all the databases which you have created within the account and for each and every one of them you will see the total amount of hourly and day-to-day queries. The info will give you a detailed picture of the functionality of your websites, particularly if you compare it to the daily traffic and visitor data.