The CPU load depends upon the amount of time a server spends executing a script when a visitor opens a page on a certain script-driven Internet site. Static HTML Internet sites use hardly any CPU time, but this is not the situation with the far more complex and functional scripts, which use a database and display dynamic content. The more customers open this kind of a website, the more load shall be generated on the server and if the database is large, the MySQL server will be loaded as well. A good example of what can cause high load is an online store with tens of thousands of products. If it is popular, a lot of people shall be browsing it all at once and if they search for items, the whole database that contains all of the products shall also be constantly accessed by the script, which will result in high load. In this light, having CPU and MySQL load data will give you an idea of how the site is doing, if it has to be optimized or if you just need a more effective hosting solution - if the Internet site is very popular and the established setup can't cope with the load.

MySQL & Load Stats in Cloud Web Hosting

If you host your websites in a cloud web hosting account with us, you'll have access to detailed CPU and MySQL data which will allow you to keep tabs on their performance. You can easily see the stats with a couple of mouse clicks in your Hepsia CP. The CPU Load section can tell you the total time period the web server spent on your scripts and what amount of memory was needed, plus the time it took for the scripts to be executed. The everyday view is the standard one, but you'll be able to also see the stats from the past months. The MySQL Load section offer you more details about the total amount of queries to each and every database that you have created inside the account. Once again, you can see per month, everyday and per hour data, which will give you data that's different from the traffic or the number of visitors that you get. In this way, you can determine if the Internet sites need some optimization.