The CPU load is dependent upon the time period a hosting server spends executing a script each time a visitor opens a webpage on a specific script-driven website. Static HTML Internet sites use barely any CPU time, but this isn't the situation with the much more advanced and functional scripts, which use a database and display dynamic content. The more individuals open this type of a site, the more load will be produced on the web server and if the database is very large, the MySQL server will be loaded as well. An example of what could cause high load is an Internet store with a large number of products. If it is popular, a lot of people shall be exploring it at the same time and if they look for items, the whole database containing all the products will also be continuously accessed by the script, which will result in high load. In this light, having CPU and MySQL load statistics will offer you an idea of how the site is doing, if it needs to be optimized or if you simply just need a more efficient website hosting solution - if the site is extremely popular and the established setup cannot cope with the load.

MySQL & Load Stats in Web Hosting

If you host your websites within a web hosting account with us, you shall have access to detailed CPU and MySQL data which will allow you to keep an eye on their performance. You can easily see the statistics with several clicks in your Hepsia Control Panel. The CPU Load section can tell you the total time the web server spent on your scripts and the amount of memory was needed, as well as the time it took for the scripts to be executed. The everyday view is the default one, but you may also see the statistics from the preceding months. The MySQL Load section will provide you with more details about the total amount of queries to every single database that you have created inside the account. Once again, you can see monthly, daily and hourly data, which will give you information that is different from the traffic or the number of visitors that you get. This way, you can identify if the sites need some optimization.