If you have an HTML site, most likely it uses a really small amount of resources simply because it is static, but this is not the case with dynamic database-driven websites that use PHP scripts and offer far more capabilities. This sort of Internet sites produce load on the hosting server every time someone browses them, simply because the server requires time to execute the script, to access the database and then to supply the information requested by the visitor's Internet browser. A well-known discussion board, for example, stores all usernames and posts within a database, so some load is produced every single time a thread is opened or a user looks for a certain term. If many people connect to the forum all at once, or if each search involves checking a large number of database entries, this may generate high load and affect the efficiency of the Internet site. In this regard, CPU and MySQL load statistics can provide info about the site’s efficiency, as you can compare the numbers with your traffic statistics to decide if the Internet site has to be optimized or migrated to another sort of hosting platform that will be able to bear the high system load in case the Internet site is popular.
MySQL & Load Stats in Semi-dedicated Servers
Our system creates in depth statistics about the two different kinds of load, so if you purchase a semi-dedicated server for your websites, you can access the info with a few clicks within your Hepsia hosting Control Panel. Every type of info is listed inside its own section. The CPU Load section will tell you exactly what processes generated the load and how much time it took for the server to execute all the requests. Though statistics are produced every 6 hours, you can see daily and per month statistics also. In the MySQL Load section you will find a list of all the databases generated within your semi-dedicated account manually and automatically, how many queries were sent to every one of them, the total daily queries for the account overall, along with the average per hour rate. This data will help you determine how well your websites perform and if each of them requires optimization of some type.