The CPU load is dependent upon the length of time a server spends executing a script any time a visitor opens a webpage on a specific script-driven website. Static HTML sites use barely any CPU time, but it is not so with the far more sophisticated and functional scripts, that use a database and display dynamic content. The more clients open such a site, the more load will be created on the hosting server and if the database is very large, the MySQL server will be loaded as well. An example of what may cause high load is a web-based store with thousands of products. If it's popular, lots of people will be browsing it at the same time and if they look for items, the entire 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 statistics will give you an idea of how the site is doing, if it has to be optimized or if you simply just need a more efficient website hosting solution - if the site is extremely popular and the existing setup cannot handle the load.
MySQL & Load Stats in Shared Web Hosting
If you host your sites within a shared web hosting account with our company, you'll have access to comprehensive CPU and MySQL stats that will allow you to monitor their operation. You can see the statistics with a number of clicks in your Hepsia CP. The CPU Load section will show you the total time period the hosting server spent on your scripts and what amount of memory was required, as well as the time it took for the scripts to be executed. The day-to-day view is the standard one, but you may also see the numbers from the preceding months. The MySQL Load section give you additional information about the total amount of queries to every single database that you have set up inside the account. Once again, you are able to see month-to-month, day-to-day and per hour statistics, that'll give you data that is different from the traffic or the number of visitors which you get. Thus, you can determine if the sites need some optimization.