The CPU load is dependent upon the time period a server spends executing a script every time a visitor opens a page on a specific script-driven Internet site. Static HTML Internet sites use barely any CPU time, but this isn't the situation with the much more advanced and functional scripts, that use a database and display dynamic content. The more customers open such a site, the more load shall be created on the server and if the database is big, the MySQL server will be loaded as well. An example of what could cause high load is an online store with tens of thousands of products. If it's 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 will also be continuously accessed by the script, resulting in high load. In this light, having CPU and MySQL load statistics will provide you with an idea of how the website is doing, if it needs to be optimized or if you simply just need a more potent website hosting solution - if the Internet site is popular and the current setup can't cope with the load.

MySQL & Load Stats in Cloud Hosting

If you host your sites inside a cloud hosting account with our company, you will have access to comprehensive CPU and MySQL statistics that will enable you to keep tabs on their functionality. You could see the statistics with a couple of mouse clicks in your Hepsia Control Panel. The CPU Load section will reveal to you the total time period the hosting server spent on your scripts and just how much memory was required, as well as the time it took for the scripts to be executed. The day-to-day view is the default one, but you can also see the statistics from the past months. The MySQL Load section will provide you with additional information about the amount of queries to every single database that you have set up inside the account. Once again, you can see month-to-month, daily and per hour stats, that shall 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 websites require some optimization.