MySQL & Load Stats in Hosting
Using the Hepsia Control Panel, included with all our hosting offers, you shall be able to to see rather detailed data regarding the system resources that your sites use. One of the sections will give you information about the CPU load, such as how much processing time the web server spent, the span of time it took for your scripts to be executed and exactly how much memory they used. Statistics are automatically generated every six hours and you may also see the different kinds of processes that produced the most load - PHP, Perl, and so forth. MySQL load statistics are listed within a separate section where you could see all the queries on an hourly, daily, and so forth. basis. You'll be able to go back and compare statistics from various months to determine if some update has changed the resource usage if the number of visitors hasn't changed much. In this way, you can determine if your Internet site needs to be optimized, which will lead to a better general performance and an improved user experience.
MySQL & Load Stats in Semi-dedicated Servers
If you have a semi-dedicated server account with our company, you will be able to access very detailed CPU and MySQL load data that will give you addiitional information about the efficiency of your sites. Two sections of the Hepsia Control Panel are dedicated to the stats, one for each and every type. Inside the CPU Load section you could see the execution time of your scripts and the length of time the server processed them. Additionally you can see the different types of processes that were executed. Stats are produced every six hours, but if needed, you can also check statistics for previous days or months. The MySQL Load section shall show you the total amount of database queries daily and each hour, and also the queries to each individual database which you have in your semi-dedicated account. Comparing this info to your traffic statistics shall give you useful info about how your websites perform and you will see if you must take some measures to optimize them.