MySQL & Load Stats in Shared Hosting
Our system keeps detailed information about the system resource usage of each and every shared hosting account which is set up on our top-notch cloud platform, so if you decide to host your Internet sites with our company, you will have full access to this data from the Hepsia Control Panel, which you shall get with the account. The CPU load stats include the CPU time and the actual execution time of your scripts, plus the amount of system memory they used. You may see what processes generated the load - PHP or Perl scripts, cron jobs, etc. The MySQL load data section will show you the amount of queries to each particular database which you have created within your shared hosting account, the total queries for the account overall and the average hourly rate. Comparing these numbers to the site visitor data will tell you if your sites perform the way they ought to or if they require some optimization, which will improve their functionality and the overall visitor experience.
MySQL & Load Stats in Semi-dedicated Servers
If you have a semi-dedicated server account with our company, you shall be able to access really detailed CPU and MySQL load statistics that will give you addiitional information about the general performance of your sites. Two sections of the Hepsia Control Panel are devoted to the stats, one for each and every kind. Inside the CPU Load section you are able to see the execution time of your scripts and the length of time the web server processed them. You may also see the kinds of processes that were executed. Statistics are produced every 6 hours, but if necessary, you can also check data for previous days or months. The MySQL Load section will show you the whole number of database queries per day and on an hourly basis, plus the queries to each individual database which you have inside your semi-dedicated account. Comparing this info to your traffic stats will give you useful info about how your websites perform and you shall see if you need to take some measures to optimize them.