If you have an HTML Internet site, in all probability it uses a very small amount of resources due to the fact that it's static, but that isn't the situation with dynamic database-driven websites that use PHP scripts and offer much more capabilities. This type of websites create load on the website hosting server when anyone browses them, as the server needs time to execute the script, to access the database and then to supply the information requested by the visitor's browser. A popular discussion board, as an illustration, stores all usernames and posts in a database, so some load is generated any time a thread is opened or an end user searches for a certain word. If a lot of people access the forum concurrently, or if each and every search involves checking thousands of database entries, this can create high load and affect the overall performance of the Internet site. In this regard, CPU and MySQL load statistics can present you with info about the site’s functionality, as you can compare the numbers with your traffic statistics and see if the site has to be optimized or moved to a new kind of hosting platform which will be able to bear the high system load in case the website is popular.

MySQL & Load Stats in Shared Hosting

If you host your websites in a shared hosting account with our company, you will have access to detailed CPU and MySQL statistics that will permit you to keep tabs on their overall performance. You are able to see the data with a couple of clicks in your Hepsia Control Panel. The CPU Load section will reveal to you the total time the hosting server spent on your scripts and how much memory was required, as well as the time it took for the scripts to be executed. The daily view is the default one, but you are able to also see the stats from the preceding months. The MySQL Load section offer you more info about the amount of queries to every database that you have set up inside the account. Once again, you can see monthly, everyday and per hour data, that shall give you info which is different from the traffic or the number of visitors which you get. In this way, you can identify if the Internet sites need some optimization.