The CPU load depends on the amount of time a web server spends executing a script each time a visitor opens a page on a particular script-driven site. Static HTML sites use hardly any CPU time, but this is not the situation with the far 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 will be created on the web server and if the database is very large, the MySQL server shall be loaded too. An illustration of what could cause high load is a web-based store with tens of thousands of products. If it is popular, many people shall be browsing it all at once and if they seek out items, the entire database containing all of the products shall also be constantly accessed by the script, resulting in high load. In this light, having CPU and MySQL load data will provide you with an idea of how the website is doing, if it needs to be optimized or if you just need a more potent hosting solution - if the website is really popular and the established setup can't deal with the load.

MySQL & Load Stats in Shared Hosting

If you host your Internet sites in a shared hosting account with us, you'll have access to comprehensive CPU and MySQL stats that will permit you to keep an eye on their functionality. You can see the stats with a number of mouse clicks within your Hepsia Control Panel. The CPU Load section will reveal to you the total time the hosting server spent on your scripts and what amount of memory was required, and the time it took for the scripts to be executed. The everyday view is the default one, but you can also see the stats from the past months. The MySQL Load section will provide you with additional information about the amount of queries to every database that you have created within the account. Once again, you can see monthly, daily and per hour stats, which will give you information that is different from the traffic or the number of visitors you get. Thus, you can determine if the sites need some optimization.