The CPU load depends upon the amount of time a hosting server spends executing a script each time a visitor opens a webpage on a particular script-driven site. Static HTML websites use barely any CPU time, but it's not the case with the significantly more sophisticated and functional scripts, that use a database and display dynamic content. The more clients open this sort of an Internet site, the more load shall be produced on the server and if the database is very large, the MySQL server will be loaded too. A good example of what could cause high load is a web-based store with a huge number of products. If it's popular, many people will be exploring it simultaneously and if they seek out items, the entire database which contains all of the products will also be continuously accessed by the script, which will result in high load. In this light, having CPU and MySQL load data will provide you with an idea of how the site is doing, if it needs to be optimized or if you simply need a more effective hosting solution - if the site is popular and the existing setup can't deal with the load.

MySQL & Load Stats in Cloud Hosting

We produce thorough statistics about the system resource usage of each and every cloud hosting account, so if you host your sites on our innovative cloud platform, you will be able to examine the statistics with just a couple of mouse clicks from your Hepsia CP. The data is provided in two different sections. The first one will show you the length of time our system spent serving your websites, the total time it took for your scripts to be executed, what amount of memory Internet sites used and what different kinds of processes produced the load. Stats are generated every 6 hours. You can see everyday and monthly stats as well. In the second section you will find all the databases you have created inside the account and for every one of them you shall see the amount of per hour and day-to-day queries. The information shall give you an accurate picture of the functionality of your sites, particularly if you compare it to the daily traffic and visitor data.