The CPU load depends on the amount of time a server spends executing a script each time a visitor opens a page on a certain script-driven website. Static HTML Internet sites use barely any CPU time, but this isn't the case with the considerably more advanced and functional scripts, that use a database and display dynamic content. The more people open this type of a website, the more load shall be generated on the hosting server and if the database is big, the MySQL server shall be loaded too. An example of what may cause high load is an online store with tens of thousands of products. If it's popular, plenty of people shall be visiting it simultaneously and if they seek out items, the whole database that contains all the products shall also be continuously accessed by the script, resulting in high load. In this light, having CPU and MySQL load statistics will offer you an idea of how the Internet site is doing, if it has to be optimized or if you simply need a more effective website hosting solution - if the website is popular and the existing setup can't handle the load.

MySQL & Load Stats in Semi-dedicated Hosting

Our system generates comprehensive stats about the two different types of load, so if you get a semi-dedicated server for your Internet sites, you can access the data with a few mouse clicks inside your Hepsia hosting CP. Each kind of info is listed within its own section. The CPU Load section will tell you exactly what processes created the load and the amount of time it took for the server to execute every one of the requests. Although statistics are created every six hours, you can see daily and per month stats too. In the MySQL Load section you'll find a list of all the databases generated inside your semi-dedicated account manually and automatically, the amount of queries were sent to each one of them, the total daily queries for the account overall, plus the average per hour rate. This data shall help you figure out how well your sites perform and if each of them requires optimization of some sort.