The CPU load depends on the time period a server spends executing a script whenever a visitor opens a webpage on a particular script-driven site. Static HTML Internet sites use hardly any CPU time, but it is not so with the significantly more complex and functional scripts, that use a database and display dynamic content. The more people open this sort of a site, the more load will be generated on the web server and if the database is large, the MySQL server shall be loaded also. An illustration of what can cause high load is an online store with thousands of products. If it is popular, a lot of people shall be exploring it simultaneously and if they seek out items, the entire database that contains 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 offer you an idea of how the site is doing, if it needs to be optimized or if you simply need a more effective website hosting solution - if the Internet site is popular and the current setup can't handle the load.

MySQL & Load Stats in Cloud Website Hosting

If you host your websites within a cloud website hosting account with us, you'll have access to detailed CPU and MySQL stats that will permit you to monitor their overall performance. You can see the stats with a number of clicks inside your Hepsia Control Panel. The CPU Load section will show you the total time period the hosting server spent on your scripts and what 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 stats from the previous months. The MySQL Load section offer you additional information about the total amount of queries to each database that you have created within the account. Once again, you are able to see month-to-month, everyday and hourly data, that shall give you data which is different from the traffic or the number of visitors that you get. This way, you can identify if the Internet sites need some optimization.