The CPU load is dependent upon the length of time a server spends executing a script whenever a visitor opens a page on a certain script-driven website. Static HTML websites use hardly any CPU time, but this isn't the situation with the much more complex and functional scripts, which use a database and display dynamic content. The more people open this type of an Internet site, the more load will be generated on the hosting server and if the database is large, the MySQL server will be loaded also. An illustration of what can cause high load is an online store with a huge number of products. If it's popular, plenty of people shall be browsing it simultaneously and if they seek out items, the whole database which contains all the products will also be frequently 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 Internet site is doing, if it has to be optimized or if you simply need a more effective web hosting solution - if the website is extremely popular and the existing setup can't handle the load.

MySQL & Load Stats in Website Hosting

If you host your sites inside a website hosting account with us, you shall have access to comprehensive CPU and MySQL stats that will enable you to monitor their functionality. You can see the statistics with several clicks inside your Hepsia Control Panel. The CPU Load section can tell you the total time period the web server spent on your scripts and the 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 numbers from the preceding months. The MySQL Load section offer additional information about the number of queries to every single database that you have set up within the account. Once again, you can see per month, daily and hourly statistics, that will give you info that's different from the traffic or the number of visitors that you get. Thus, you can determine if the Internet sites need some optimization.