The CPU load is dependent upon the time a web server spends executing a script each time a visitor opens a page on a given script-driven website. Static HTML sites use barely any CPU time, but it is not so with the far more advanced and functional scripts, which use a database and display dynamic content. The more clients open this type of an Internet site, the more load shall be generated on the hosting server and if the database is very large, the MySQL server will be loaded as well. An illustration of what may cause high load is an online store with a huge number of products. If it's popular, a lot of people will be visiting it simultaneously and if they seek out items, the entire database that contains all of the products shall also be frequently accessed by the script, resulting in high load. In this light, having CPU and MySQL load statistics will offer you an idea of how the website is doing, if it has to be optimized or if you simply just need a more potent website hosting solution - if the site is popular and the current setup can't cope with the load.

MySQL & Load Stats in Shared Website Hosting

We generate comprehensive data about the system resource usage of every single shared website hosting account, so if you host your sites on our advanced cloud platform, you shall be able to check out the stats 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 the amount of time our system spent serving your Internet sites, the total time it took for your scripts to be executed, how much memory the sites used and what kinds of processes produced the load. Stats are created every six hours. You could see everyday and per month data also. In the second section you shall find all of the databases which you have created inside the account and for each of them you'll see the amount of hourly and daily queries. The data will give you an accurate picture of the efficiency of your Internet sites, especially if you compare it to the daily traffic and visitor data.