MySQL & Load Stats in Cloud Web Hosting
Using the Hepsia Control Panel, which comes with all of our cloud web hosting plans, you'll be able to see really comprehensive data regarding the system resources which your Internet sites use. One of the sections shall give you information about the CPU load, including the amount of processing time the web server spent, the amount of time it took for your scripts to be executed and what amount of memory they used. Stats are routinely produced every 6 hours and you could also see the kinds of processes that produced the most load - PHP, Perl, and so on. MySQL load stats are listed within an individual section where you'll be able to see all the queries on a per hour, day-to-day, and so forth. basis. You'll be able to go back and compare stats from various months to see if some update has transformed the resource usage if the amount of visitors has not changed much. This way, you can determine if your site needs to be optimized, that will contribute to a better performance and an improved user experience.
MySQL & Load Stats in Semi-dedicated Servers
If you want to see in depth stats for the load produced by your websites, it won't take more than several mouse clicks to do that. The Hepsia hosting CP, supplied with all semi-dedicated servers that we offer, features a section devoted to the system resource usage and the info there will tell you if your Internet sites function properly and if the load they generate corresponds to the total amount of received website visitors. The CPU load data include the script execution time and the span of time it took for the web server to process the requests, and what sorts of processes produced the load. The MySQL statistics will show you how many times each individual database was accessed, and everyday and hourly stats for the whole account. With both kinds of statistics, you are able to check the numbers for each of the past days and months, so you could see how sites perform as the traffic to them grows or once you've applied some update.