The CPU load is dependent upon the length of time a hosting server spends executing a script each time a visitor opens a page on a specific script-driven website. Static HTML websites use barely any CPU time, but it's not the situation with the significantly more complex and functional scripts, that use a database and display dynamic content. The more clients open such a website, the more load will be created on the hosting server and if the database is big, the MySQL server shall be loaded also. An illustration of what can cause high load is an Internet store with a huge number of products. If it's popular, a lot of people shall be visiting it simultaneously and if they search for items, the whole database containing all the products will also be constantly accessed by the script, resulting in high load. In this light, having CPU and MySQL load stats will give you an idea of how the Internet site is doing, if it has to be optimized or if you just need a more powerful hosting solution - if the Internet site is popular and the current setup cannot cope with the load.
MySQL & Load Stats in Cloud Website Hosting
Using the Hepsia CP, included with all our cloud website hosting offers, you'll be able to see rather comprehensive data concerning the resources your websites use. One of the sections will give you information regarding the CPU load, such as the amount of processing time the web server spent, the length of time it took for your scripts to be executed and what amount of memory they used. Stats are consistently generated every six hours and you could also see the types of processes that generated the most load - PHP, Perl, and so forth. MySQL load data are listed in a separate section where you could see all the queries on an hourly, everyday, and so on. basis. You can go back and compare statistics from different months to find out if some update has altered the resource usage if the number of visitors has not changed much. This way, you will see if your website needs to be optimized, that'll lead to a better functionality and an improved user experience.