MySQL & Load Stats in Cloud Hosting
Our system keeps detailed info about the system resource usage of every cloud hosting account that's set up on our top-notch cloud platform, so in case you choose to host your Internet sites with our company, you will have full access to this information via the Hepsia Control Panel, which you'll get with the account. The CPU load data feature the CPU time and the actual execution time of your scripts, plus what amount of system memory they used. You may also see what processes produced the load - PHP or Perl scripts, cron jobs, and so forth. The MySQL load stats section will show you the number of queries to each specific database which you have created in your shared hosting account, the total queries for the account as a whole and the standard hourly rate. Comparing these numbers to the website visitor stats will tell you if your Internet sites perform the way they have to or if they need some optimization, that'll improve their performance and the overall website visitor 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 quite comprehensive CPU and MySQL load data that will give you addiitional information about the overall performance of your Internet sites. Two sections of the Hepsia Control Panel are devoted to the stats, one for every single kind. Within the CPU Load section you could see the execution time of your scripts and the span of time the server processed them. Additionally you can see the types of processes that were executed. Stats are created every 6 hours, but if needed, you can also check data for previous days or months. The MySQL Load section shall show you the entire 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 data to your traffic stats will give you valuable data about how your Internet sites perform and you will see if you have to take some measures to optimize them.