MySQL & Load Stats in Shared Hosting
Using the Hepsia Control Panel, included with all of our shared hosting plans, you'll be able to see incredibly comprehensive statistics regarding the system resources that your Internet sites use. One of the sections shall give you info on the CPU load, such as how much processing time the web server spent, the time it took for your scripts to be executed and how much memory they used. Stats are automatically generated every six hours and you may also see the types of processes that generated the most load - PHP, Perl, and so on. MySQL load statistics are listed within a different section where you can see all the queries on an hourly, everyday, and so forth. basis. You can go back and compare stats from different months to see if some update has changed the resource usage if the amount of website visitors has not changed much. Thus, you can see if your Internet site needs to be optimized, that'll result in a better functionality and an improved user experience.
MySQL & Load Stats in Semi-dedicated Hosting
If you have a semi-dedicated server account with our company, you'll be able to access really comprehensive CPU and MySQL load statistics that'll give you addiitional information about the general performance of your Internet sites. Two sections of the Hepsia CP are focused on the stats, one for every single type. Within the CPU Load section you could see the execution time of your scripts and the span of time the hosting server processed them. You can also see the types of processes which were executed. Statistics are created every 6 hours, but if necessary, you may also check figures for previous days or months. The MySQL Load section shall show you the whole amount of database queries each and every day and per hour, plus the queries to each individual database which you have inside your semi-dedicated account. Comparing this info to your traffic statistics shall give you important info about how your websites perform and you will determine if you need to take some measures to optimize them.