If you have an HTML site, it likely uses a very small amount of resources because it is static, but that isn't the situation with dynamic database-driven websites that use PHP scripts and offer you considerably more features. This sort of websites create load on the website hosting server each time someone browses them, simply because the hosting server needs time to execute the script, to access the database and then to provide the information requested by the visitor's browser. A popular discussion board, as an illustration, stores all usernames and posts inside a database, so some load is produced each time a thread is opened or an end user looks for a particular term. If lots of people connect to the forum simultaneously, or if each and every search involves checking thousands of database entries, this could produce high load and affect the efficiency of the site. In this regard, CPU and MySQL load stats can present you with information about the site’s overall performance, as you can compare the numbers with your traffic stats to decide if the website has to be optimized or moved to a different type of hosting platform that will be able to bear the high system load in case the site is very popular.

MySQL & Load Stats in Hosting

If you host your Internet sites in a hosting account with our company, you'll have access to comprehensive CPU and MySQL stats which will allow you to monitor their functionality. You are able to see the statistics with a couple of mouse clicks inside your Hepsia CP. The CPU Load section will show you the total time frame the hosting server spent on your scripts and just how much memory was required, along with the time it took for the scripts to be executed. The everyday view is the default one, but you are able to also see the data from the preceding months. The MySQL Load section offer more details about the total amount of queries to every database that you have created inside the account. Once again, you can see per month, daily and hourly data, that'll give you data that's different from the traffic or the number of visitors which you get. This way, you can identify if the sites require some optimization.