The CPU load depends upon the length of time a server spends executing a script every time a visitor opens a webpage on a certain script-driven site. Static HTML websites use barely any CPU time, but it's not the situation with the considerably more complex and functional scripts, that use a database and display dynamic content. The more individuals open such an Internet site, the more load will be created on the server and if the database is big, the MySQL server will be loaded also. A good example of what may cause high load is a web-based store with tens of thousands of products. If it's popular, lots of people will be exploring it concurrently and if they look for items, the entire database which contains all of the products shall also be continuously accessed by the script, which will result in high load. In this light, having CPU and MySQL load stats can provide an idea of how the Internet site is doing, if it needs to be optimized or if you simply need a more powerful website hosting solution - if the website is popular and the established setup can't cope with the load.
MySQL & Load Stats in Shared Web Hosting
We create comprehensive data about the system resource usage of each shared web hosting account, so in case you host your websites on our innovative cloud platform, you will be able to check out the stats with only a couple of clicks from your Hepsia Control Panel. The data is provided in 2 different sections. The first one will show you the span of time our system spent serving your sites, the total time it took for your scripts to be executed, what amount of memory the sites used and what different kinds of processes produced the load. Stats are generated every 6 hours. You'll be able to see day-to-day and per month statistics also. In the second section you'll discover all of the databases that you've created inside the account and for each one of them you shall see the number of hourly and daily queries. The data will give you a detailed picture of the functionality of your Internet sites, specifically if you compare it to the daily traffic and visitor data.