MySQL & Load Stats in Shared Hosting
Using the Hepsia CP, provided with all our shared hosting plans, you shall be able to to see incredibly comprehensive stats concerning the system resources that your Internet sites use. One of the sections shall give you details about the CPU load, such as how much processing time the hosting server spent, the amount of time it took for your scripts to be executed and what amount of memory they used. Statistics are consistently generated every 6 hours and you could also see the different kinds of processes that produced the most load - PHP, Perl, and so on. MySQL load stats are listed in an individual section where you are able to see all the queries on a per hour, day-to-day, etcetera. basis. You'll be able to go back and compare data from different months to determine if some update has altered the resource usage if the total amount of visitors hasn't changed much. This way, you can see if your site needs to be optimized, that will result in 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 comprehensive CPU and MySQL load statistics that'll give you more information about the functionality of your websites. 2 sections of the Hepsia CP are devoted to the statistics, one for every type. Within the CPU Load section you are able to see the execution time of your scripts and the span of time the hosting server processed them. You can even see the types of processes which were executed. Statistics are produced every 6 hours, but if required, you could also check stats for previous days or months. The MySQL Load section shall show you the total number of database queries per day and per hour, plus the queries to each individual database that you have in your semi-dedicated account. Comparing this information to your traffic statistics shall give you important data about how your websites perform and you will determine if you must take some measures to optimize them.