The CPU load depends upon the time a server spends executing a script each time a visitor opens a webpage on a given script-driven website. Static HTML sites use hardly any CPU time, but this isn't the situation with the significantly more advanced and functional scripts, which use a database and display dynamic content. The more people open such an Internet site, the more load will be produced on the web server and if the database is large, the MySQL server shall be loaded too. An example of what can cause high load is a web-based store with a huge number of products. If it is popular, a lot of people shall be visiting it all at once and if they look for items, the whole database that contains all of the products shall also be continuously accessed by the script, resulting in high load. In this light, having CPU and MySQL load stats will offer you an idea of how the website is doing, if it needs to be optimized or if you simply need a more powerful website hosting solution - if the website is popular and the existing setup can't handle the load.

MySQL & Load Stats in Cloud Hosting

Using the Hepsia Control Panel, included with all of our cloud hosting offers, you will be able to see really detailed data about the system resources your Internet sites use. One of the sections shall give you info on the CPU load, such as the amount of processing time the hosting server spent, the length of time it took for your scripts to be executed and what amount of memory they used. Stats are consistently created every 6 hours and you can also see the types of processes that produced the most load - PHP, Perl, etc. MySQL load data are listed within a separate section where you'll be able to see all the queries on an hourly, daily, and so on. basis. You can go back and compare data from various months to see if some update has transformed the resource usage if the amount of site visitors hasn't changed much. That way, you can determine if your site needs to be optimized, that'll result in a better functionality and an improved user experience.